29 Big Data jobs

IHS Markit (Nasdaq: INFO) is a world leader in critical information, analytics and solutions for the major industries and markets that drive economies worldwide. The company delivers next-generation information, analytics and solutions to customers in business, finance and government, improving their operational efficiency and providing deep insights that lead to well-informed, confident decisions. IHS Markit has more than 50,000 key business and government customers, including 80 percent of the Fortune Global 500 and the world’s leading financial institutions. Headquartered in London, IHS Markit is committed to sustainable, profitable growth. The Data Scientist will support the project insights gained from analyzing company data. The candidate must have good experience using a variety of data mining/data analysis methods, using a variety of data tools, helping building and implementing models. The candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. In this role, the candidate will apply practical experience in mining, cleansing, and analyzing unsynchronised data, understanding of data science algorithms and willingness to write code to explore problems and understand data. The candidate will work hand-in-hand with Subject Matter Experts and the technical team. The ideal candidate responsibilities will include; 2-3 years of experience manipulating data sets and building statistical model Analyse data from company databases to drive optimization and improvement of product development and business strategies A passion for discovering solutions hidden in large data set SQL skills for data retrieval, analysis and data cleansing Develop processes and tools to monitor and analyse model performance and data accuracy Understanding of data science algorithms Personal Specification Experience with programming languages such as R/Python.. Solid background in programming, good knowledge of operating system Robust knowledge on Database structures (Oracle, SQL) An understanding of Data Management Systems. Good knowledge of an Agile development environment Keep up-to-date with latest technology trends (Machine Learning) Be an effective communicator, self-motivated, and able to drive insights into actions Excellent written and verbal communication skills for coordinating across teams Fluent English language (spoken and written; French a plus. Ability to explain a technical subject to a non-technical audience Delivering, communicating, and/or presenting results Analytical skills, methodological thinking and problem-solving capabilities IHS Markit is committed to Equal Employment Opportunity and providing reasonable accommodations to applicants with disabilities. If you are interested in applying for employment with IHS Markit and need special assistance or accommodation to use our website to apply to a position, please contact  accessibility@ihsmarkit.com   or call +1 212 849 0399. Determination on requests for reasonable accommodation will be considered on a case-by-case basis. This contact information (email and phone) is intended for application assistance and accommodation requests only.   We are unable to accept resumes or provide information about application status through the phone number or email address above. Resumes are only accepted through the online application process and only qualified candidates will receive consideration and follow-up. IHS Markit is proud to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by law. We maintain a drug-free workplace and perform pre-employment drug testing. As a federal contractor in the United States, IHS Markit is required to participate in the E-Verify Program to confirm eligibility to work in the United States. For information regarding legal rights and protections in the United States Current Colleagues If you are currently employed by IHS Markit, please apply internally via the Workday internal careers site.

Hitachi Vantara, a wholly owned subsidiary of Hitachi, Ltd., helps data-driven leaders use the value in their data to innovate intelligently and reach outcomes that matter for business and society – what we call a double bottom line. Only Hitachi Vantara combines 100+ years of experience in operational technology (OT) and 60+ years in IT to unlock the power of data from your business, your people and your machines. We help enterprises store, enrich, activate and monetize data for better customer experiences, new revenue streams and lower business costs. The Role A customer-focused technical sales professional who leads the pre-sales effort by creating opportunities and partnering with the Account Manager to build a customer-centric sales value proposition. For the a few Enterprise customers, the remit is to establish a trusted relationship and strong understanding of the customer’s business, translating business needs into technical requirement and developing and presenting a technical vision, business case and physical solution specifically modelled for their customer. The Solutions Consultant owns the technical customer relationship and leverages strong technical and interpersonal skills to lead technical discussions and apply advanced subject matter expertise, providing guidance on current market landscape and challenges, industry trends, and the Hitachi Vantara vision.  Solution Design: Interview prospects to determine business and technical requirements and determine a technical fit. Custom Presentations: Create compelling customized presentations tailored to prospects’ use case and vertical. Custom Demonstrations and Proofs-of-Concept:  Hands-on development using the Pentaho platform and related technologies. Product Expert: Conduct technical Q&A sessions and demonstrations around Hitachi Vantara product features, installation, configuration, and best practices. Lead Evaluations: Design and scope focused evaluation plans that uniquely position Hitachi Vantara, are tied to prospect requirements, and prove out business value. Teamwork: Collaborate with big data experts, data scientists, consultants in Hitachi Vantara to deliver advanced custom demonstrations, workshops, and POCs. Continual Learning: A passion for learning new technologies as needed. Creative troubleshooting of issues that require solutions or innovative work-a-rounds High Impact: Key stakeholder in collaboration with marketing, product management, engineering, and professional services across Hitachi Vantara. Required Experience  Analytics Experience: 3+ years of experience in designing, implementing and supporting big data projects (e.g. Hadoop, NoSQL, Spark). Sales Experience: 2+ years of presales experience supporting enterprise software sales cycles Technology: Advanced big data implementation and java architecture experience as well as understanding of data integration and data warehousing. Hands-on Hadoop experience ETL, data warehousing, data engineering, data integration Relational databases (e.g. Oracle, MySQL, PostgreSQL, generic SQL, JDBC Java programming BI Tools (e.g. Tableau, Qlik, MicroStrategy) Security systems (e.g. LDAP, SSO, Kerberos) Advanced analytics (e.g. R, Scala, Python, Weka, SAS) Operating systems (e.g. Linux, Windows, shell scripting), strong communication skills, fluent in German and English (written & spoken),  Education: B.A. or B.S. Degree from an accredited university (may substitute an Associate degree plus 4 additional years of experience). We are an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

One of our leading customers in Lausanne is looking for a highly skilled Data Scientist to join the team. This business develops technology to revolutionize how investment decisions are made. By extracting information from data, they advise clients on how to invest and make the best decisions. In this role, our customer needs someone who can work within modeling research, designing and validating models to transform data into actionable insights. You would develop predictive statistical, machine learning and deep learning methods. This position would also include managing the research process including methodology selection, data collection, modeling and analysis. In order to apply for this position, you should have strong experience working as a Data Scientist; ideally with a focus on NLP and text mining. Experience and knowledge in data analysis and statistical modeling techniques (machine learning, deep learning, signal processing) are also required. Good skills in time series analysis and machine learning research are also important. Technical experience needed included t-sql, hadoop, with programming skills in Python, Spark etc.... If you feel your experience matches the requirements well and you are keen to hear more, please apply and we'll arrange a call soon.

DXC Technology ist der weltweit führende unabhängige Anbieter von End-to-End-IT Dienstleistungen der nächsten Generation. Unser Ziel ist es, für unsere Kunden die digitale Transformation zu gestalten und so Mehrwert für ihr Geschäft zu generieren. Aus dem Zusammenschluss von CSC und der Enterprise Services Sparte von Hewlett Packard Enterprise geboren, sind wir ein 25-Mrd.-USD-Unternehmen, das für annähernd 6.000 privatwirtschaftliche und öffentliche Organisationen in 70 Ländern arbeitet. Die Digitalisierung verändert die Geschäftswelt mit rasender Geschwindigkeit und um die die Chancen der Digitalisierung für das eigene Unternehmen zu nutzen und die Gefahren durch die ebenfalls von der Digitalisierung beflügelte Konkurrenz zu minimieren, sind Unternehmen gefordert eine digitale Agenda für das eigene Unternehmen zu entwickeln. Das Ziel der Beratungseinheit Digital Strategy und Transformation ist es, den Verantwortlichen in einem Unternehmen aufzuzeigen, welche Treiber die Digitalisierung prägen, wie sich die verschiedenen Elemente der Wertschöpfungskette durch die Möglichkeiten der Digitalisierung verändern könnten und wie ein Unternehmen neue digitale Business Modelle entwickeln und auch erfolgreich realisieren kann. In der Rolle des Business Consultants in unserem Digital Strategy & Transformation Team übernehmen Sie im Rahmen strategischer Projekte zur Digitalisierung Verantwortung für verschiedene   Aufgaben : Aufzeigen der wichtigsten IT Digitalisierungstrends (IoT, Cloud, Mobile, Big Data, etc.) Durchführung von Strategy Workshops mit C-Level, IT Leiter, Fachexperten Beratung zu Geschäftsmodell Innovationen sowie Ideen zur Effizienzsteigerung im Rahmen des bestehenden Geschäftsmodells Begleitung, Dokumentation, Co-moderation von Workshops Anforderungsanalysen für Digitalisierungsprojekte Agiles Projektmanagement und Scrummaster-Rollen Digitales Change Management Sie verfügen ausserdem über spezielle Erfahrungen und Kenntnisse (zwei oder mehrere Themen) : Business Model Innovation Big Data und Analytics Next Generation Digital Workplace Services Digital Application Transformation und Modernization Applikation Portfolio und Cloud Strategie Digital IT Governance IT Service Management Cyber Security Enterprise Architekturen Unsere Anforderungen: Einige Jahre  Erfahrungen in einer Beratungsrolle bei einer IT Beratungsfirma oder einer klassischem Management Beratungsfirma Universitätsabschluss oder Abschluss einer Technische Fachhochschule Professionelles, gewinnendes Auftreten und herausragende kommunikative Fähigkeiten Fähigkeit zur selbstständigen Akquise von Beratermandaten Energie und Herzblut für das Thema der digitalen Transformation in allen Ausprägungen Erfahrungen und Kenntnisse aus diesen Branchen wären wünschenswert: Öffentliche Verwaltung in der Schweiz, idealerweise mit gültiger Personenschutz-Prüfung (PSP); Bahn und öffentlicher Verkehr; Produzierende Industrie Idealerweise verfügen Sie über die folgenden Zertifizierungen: Scrum, Projekt Management HERMES, IREB, TOGAF Darüber hinaus erwarten wir Reisebereitschaft innerhalb der Schweiz und gelegentliche Einsätze im Deutschland oder den nordischen Ländern. Kreativität beim Aufbereiten von komplexen Sachverhalten Strukturiertes, kreatives und eigenverantwortliches Denken und Handeln Verhandlungssichere Deutsch- und Englischkenntnisse in Wort und Schrift Kreativität und Neugier Lernbereitschaft, Motivation und Begeisterung für die Beratung Was wir anbieten: Flexible Arbeitszeiten Ausgezeichnete Entwicklungsmöglichkeiten durch die Zusammenarbeit mit hochqualifizierten Beraterteams Spannende und abwechslungsreiche Projekte in denen Sie Verantwortung übernehmen und viel Erfahrung sammeln können Sehr attraktive und vielfältige Weiterbildungsmöglichkeiten in den neuesten Next Generation IT Themen und Methoden an der DXC University Wir bieten verschiedene Möglichkeiten zur professionellen Entwicklung – sowohl horizontal (in diversen Industrien) als auch über verschiedene Karrierewege Haben wir Ihr Interesse geweckt? Dann bewerben Sie sich bitte mit Ihren vollständigen Bewerbungsunterlagen unter Angabe Ihres nächstmöglichen Starttermins und Ihrer Gehaltsvorstellung.

In our business and the industries we cover, data is generated continuously from multiple touch points and collected in hundreds of data sources. Increasingly, managing data correctly has resulted in greater competitive advantages and as the Data Analytics organization within GASD (Global Aftermarket Solutions Division), we support business decisions by converting a tremendous volume of data into concrete and valuable insights. The data infrastructure requirements are evolving to drive a culture of data-driven decisions making spanning various teams and objectives globally. As a   Data Engineer , you will join a team of passionate people in a complex data environment, working on the data infrastructure which will respond to these increasing needs for complete, accurate, timely and secure data. You'll support the needs of user teams across Caterpillar GASD (Global Aftermarket Solutions Division) while being an expert on data architecture, quality and operations to deliver and maintain a data mart that help us better understand our business and customers. You'll turn data into a craft and a discipline that returns increasing value at Caterpillar. By joining the Aftermarket Data Analytics Management team, your contributions will drive the next generation of decision making and action taking in Global Aftermarket Solutions at Caterpillar.    You will make a difference by: D riving our Data strategy A chieving Data integrity, security & accessibility targets T ransforming our data processes A dvising users & analysts Responsibilities: Build infrastructure required for optimal extraction, transformation and loading of data from a wide variety of data sources Create controlled data transformation for reporting, incorporating dealer business rules Optimize data analytics, modeling, visualization, transformation and enrichment Operationalize analyst workflows, tables and processes Engage directly with business partners to participate in design and development of data integration/transformation solutions Set up processes and standards for data documentation Less than 10% travel Qualifications Basic Qualifications:  Previous experience as a data engineer, IT Engineer, IT analyst, software developer or data analyst    Top Candidates Will Also Have: BS in Computer Science, Computer Engineering, Business Analytics, or related fields 1-2 years software development experience with object-oriented function scripting languages: Python, Java, Javascript, C++, Scala, etc Passion for acquiring, analyzing and transforming data to generate insights Understanding of data structures, algorithms, profiling & optimization Understanding of SQL, ETL design, and data modeling techniques Demonstrated analytical ability, judgment and problem analysis techniques Familiarity with cloud computing concepts Knowledge of big data tools: Hadoop, Spark, Kafka, etc. Knowledge of relational SQL and NoSQL databases, including Postgres and Cassandra Knowledge of data blending tools: Alteryx Knowledge of data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc. Knowledge of AWS cloud services: EC2, EMR, RDS, Snowflake Knowledge of stream-processing systems: Storm, Spark-Streaming, etc. Knowledge of API managers: Apigee, Azure, Catana, etc Knowledge of version control systems: Git, VSTS Thrive in a fast-paced environment that delivers results and has fun Strong attention to detail Great verbal and written communication skills to collaborate cross functionally Interpersonal skills with the ability to work effectively in a cross functional team

Introduction Hours: 40 Salary: Competitive Nationwide has recently launched a new data strategy which will transform the way the Society thinks about, values and manages its data. As part of this new strategy the Data & Analytics Community, and more specifically, the Data Solutions team has a number of exciting new roles to help deliver on the promises of reducing the number of legacy data stores, simplifying the architectural landscape and treating data as a valued asset. Who we're looking for We are looking for experienced Data Solution Designers to join our Design Hub, to deliver data solutions, patterns and controls, and constructing data pipelines to deliver information to our business community. You’ll be able to operate a complex technical portfolio with multiple objectives, and you’ll have experience of working in a challenging fast paced environment to deliver at scale for our projects. You will have: Advanced and proven technology design skills and capabilities for data lake and data warehouses design Good stakeholder management and engagement skills Experience communicating and influencing peers and management The ability to react with pace to manage changing demand Experience of different delivery methodologies – Waterfall, Agile, DevOps Experience in task management   You will have the experience in the following areas: Designing patterns and techniques for data lake and data warehouse on hybrid cloud and on-premise architectures Hadoop big data appliances, (Hive, HDFS, Scala, Spark, NIFI) Using Informatica and Teradata Knowledge of ETL frameworks Understanding of end-to-end IM environments Data modelling Data mapping Up to date with emerging technologies and trends, and awareness of open source tooling for big data Worked in and knowledge of the finance sector Proven leadership, mentoring and recruitment experience. What you'll be doing Reporting to the Design Hub Lead, you will be delivering project designs for our new information management solution, and managing reusable design and code specific patterns. Working with the Architecture, Design and Data Engineering teams, you’ll be ensuring technology best practice and ensuring the platform remains relevant and up to date whilst delivering change at pace. Apply now The extras you'll get If you put a lot in, it’s only fair you should get a lot out. So if you help us do the right thing for our members, we’ll help further your career with us. As part of our team you’ll get: Access to training to help you progress and develop your technical skills and career Pension scheme where if you pay in 7% we’ll top it up to 23% Life assurance worth 8x your salary 24 days’ holiday plus bank holidays The ability to 'buy’ up to 10 days more holiday Flexible benefits scheme giving you access to discount vouchers at various retail outlets Access to an annual performance related bonus scheme Interested? You can apply via the  ''Apply now''  button.

Introduction Hours: 40 Up to £73,436 a year on a permanent 35-hour per week contract Send in your application by 31st March 2019 Nationwide has recently launched a new data strategy which will transform the way the Society thinks about, values and manages its data. As part of this new strategy the data & analytics community, and more specifically, the data solutions team has a number of exciting new roles to help deliver on the promises of reducing the number of legacy data stores, simplifying the architectural landscape and treating data as a valued asset. This role will focus on delivering reporting and analytical solutions onto the society’s enterprise data platform (Hadoop big data ecosystem and Teradata appliance) in support of both small Agile and larger scale project and user delivery.  Combining responsibilities for technical delivery alongside continuous improvement, innovation and automation, this exciting new role will provide the opportunity to work with some cutting-edge technologies. What you'll be doing  Reporting to a Snr Data Engineer, you will form a key part of a team of engineers responsible for the implementation of data solutions onto the new IM estate in support of our strategy objective of simplifying our data landscape and delivery of insight and innovation. Working directly with business and IT stakeholders you will help to deliver best practice, innovation and automation in the industrialisation of complex strategic IT initiatives alongside smaller user driven demand. You will bring a high level of motivation and innovation to the team, always looking for ways to expand your own skill set and searching for ways to do things better, quicker & cheaper.   Who we're looking for  As a minimum requirement you’ll: Have at least 1 years’ experience of data lake and/or data warehouse delivery with: Either, experience in the Hadoop big data platform and a broad range of associated technologies, such as Python, R, Spark, HIVE, Scala Or, experience in data warehouse delivery, ideally with a mix of Informatica and/or Teradata technologies Be a technical innovator with a curious mindset and a thirst for knowledge and be able to demonstrate a drive for continual improvement Be a strong team player who enjoys and thrives on collaboration across colleagues and teams Have excellent stakeholder management and influencing skills It would be nice if you also had: Experience of working in an Agile environment using SCRUM/Kanban Hands-on experience of working within a DevOps environment with tooling such as Jenkins, Docker, Cucumber etc The extras you'll get If you put a lot in, it’s only fair you should get a lot out. So if you help us do the right thing for our members, we’ll help further your career with us. As part of our team you’ll get: Access to training to help you progress and develop your technical skills and career Pension scheme where if you pay in 7% we’ll top it up to 23% Life assurance worth 8x your salary 24 days’ holiday plus bank holidays The ability to 'buy’ up to 10 days more holiday Flexible benefits scheme giving you access to discount vouchers at various retail outlets Access to a Healthcare scheme Access to an annual performance related bonus scheme Interested? Please apply via the  'Apply now'  button.

Introduction Hours: 40 Up to £73,436 a year on a permanent 35-hour per week contract Send in your application by 31st March 2019   Nationwide has recently launched a new data strategy which will transform the way the Society thinks about, values and manages its data. As part of this new strategy the Data & Analytics community, and more specifically, the Data Solutions team has a number of exciting new roles to help deliver on the promises of reducing the number of legacy data stores, simplifying the architectural landscape and treating data as a valued asset. This role will focus on the identification, analysis and acquiring of strategic data sources for the enterprise data lake, establishing an enduring in-house sourcing, onboarding and publishing capability to enable and support delivery of onwards data strategy and supporting adhoc exploitation and discovery initiatives. Combining accountabilities for planning, source procurement, delivery, continuous improvement and building an in-house capability, this exciting new role will provide the opportunity to work with some cutting-edge technologies, industry leading vendors and help shape and drive the next phase of the strategy execution. Who we're looking for As a minimum requirement you’ll: Have significant experience of data lake / warehouse / business intelligence implementations gained in a mix of industry sectors Be a strong leader with a significant level of technical competence as you will be required to setup and lead a team of engineers alongside setting strategy Be able to demonstrate line management experience, be able to set SMART objectives and drive high performance and continual improvement Have a track record of collaborative working across disparate business and IT disciplines Demonstrable experience and understanding of business processes and technologies involved in customer interactions and the onboarding and servicing of financial products and services Have excellent stakeholder management and influencing skills It would be nice if you also had: Experience of commercial ETL tooling, such as Informatica, Ab Initio or DataStage in an analytical context Experience of appliance databases, such as Teradata A strong understanding of Data Architecture principles Appreciation of varied application delivery methodologies What you'll be doing Reporting to the Snr Mgr Data Engineering, you will be working within the context of an ambitious data landscape consolidation agenda and alongside an exciting portfolio of enterprise level change. You will lead a team of data engineers responsible for all aspects of data onboarding and maintenance from collaborative investigation of business processes that create and master data, sampling, profiling and assessment of candidates, to commissioning and integration of robust and fully documented interfaces resulting in a secure GDPR compliant presentation of the data assets for safe onward integration and exploitation. Working with D&A Change demand functions you will engage with projects and other change vehicles to understand and log their upcoming demands for, or impact upon, data within its operational context and assess and highlight their synergies or conflicts to the wider D&A community. Working with management stakeholders within Communities across the Society, and externally too, you will establish and maintain strong ongoing working relationships with providers of data. Working directly with Data & Analytics senior stakeholders you will collate and present competing demand for data from across the delivery capabilities and, equipped with feasibility analysis and estimates, you will recommend, agree and adjust priorities and progress sprint planning for ongoing execution against an evolving Roadmap that you will maintain. Working with D&A Governance Stakeholders you’ll gather evidence and feasibly on sourcing options for data demand as it arises to either pursue commissioning of interfaces on a “right first time” basis or to pursue early release of value with follow on remediation. You will ensure data is catalogued, inventorised and enriched with technical metadata and verify that it has been tagged with an appropriate security classification. Working closely with Architecture you’ll be investigating and shaping options for data supply from hitherto unfamiliar or emerging source technologies and agreeing recommendations for leverage of existing or new integration patterns and technologies. Working with Analysis & Design you’ll be driving continual improvement of the data onboarding capability through extension of metadata driven ingestion and publication capabilities, creation of new code assets to support emerging integration technology options, and shaping the overall batch orchestration design The extras you'll get If you put a lot in, it’s only fair you should get a lot out. So if you help us do the right thing for our members, we’ll help further your career with us. As part of our team you’ll get: Access to training to help you progress and develop your technical skills and career Pension scheme where if you pay in 7% we’ll top it up to 23% Life assurance worth 8x your salary 24 days’ holiday plus bank holidays The ability to 'buy’ up to 10 days more holiday Flexible benefits scheme giving you access to discount vouchers at various retail outlets Access to a Healthcare scheme Access to an annual performance related bonus scheme Interested? You can apply via the  ''Apply now''  button.

Hitachi Vantara, a wholly owned subsidiary of Hitachi, Ltd., helps data-driven leaders use the value in their data to innovate intelligently and reach outcomes that matter for business and society – what we call a double bottom line. Only Hitachi Vantara combines 100+ years of experience in operational technology (OT) and 60+ years in IT to unlock the power of data from your business, your people and your machines. We help enterprises store, enrich, activate and monetize data for better customer experiences, new revenue streams and lower business costs. The Role A customer-focused technical sales professional who leads the pre-sales effort by creating opportunities and partnering with the Account Manager to build a customer-centric sales value proposition. For the a few Enterprise customers, the remit is to establish a trusted relationship and strong understanding of the customer’s business, translating business needs into technical requirement and developing and presenting a technical vision, business case and physical solution specifically modelled for their customer. The Solutions Consultant owns the technical customer relationship and leverages strong technical and interpersonal skills to lead technical discussions and apply advanced subject matter expertise, providing guidance on current market landscape and challenges, industry trends, and the Hitachi Vantara vision.  Solution Design: Interview prospects to determine business and technical requirements and determine a technical fit. Custom Presentations: Create compelling customized presentations tailored to prospects’ use case and vertical. Custom Demonstrations and Proofs-of-Concept:  Hands-on development using the Pentaho platform and related technologies. Product Expert: Conduct technical Q&A sessions and demonstrations around Hitachi Vantara product features, installation, configuration, and best practices. Lead Evaluations: Design and scope focused evaluation plans that uniquely position Hitachi Vantara, are tied to prospect requirements, and prove out business value. Teamwork: Collaborate with big data experts, data scientists, consultants in Hitachi Vantara to deliver advanced custom demonstrations, workshops, and POCs. Continual Learning: A passion for learning new technologies as needed. Creative troubleshooting of issues that require solutions or innovative work-a-rounds High Impact: Key stakeholder in collaboration with marketing, product management, engineering, and professional services across Hitachi Vantara. Required Experience  Analytics Experience: 3+ years of experience in designing, implementing and supporting big data projects (e.g. Hadoop, NoSQL, Spark). Sales Experience: 2+ years of presales experience supporting enterprise software sales cycles Technology: Advanced big data implementation and java architecture experience as well as understanding of data integration and data warehousing. Hands-on Hadoop experience ETL, data warehousing, data engineering, data integration Relational databases (e.g. Oracle, MySQL, PostgreSQL, generic SQL, JDBC Java programming BI Tools (e.g. Tableau, Qlik, MicroStrategy) Security systems (e.g. LDAP, SSO, Kerberos) Advanced analytics (e.g. R, Scala, Python, Weka, SAS) Operating systems (e.g. Linux, Windows, shell scripting), strong communication skills, fluent in German and English (written & spoken),  Education: B.A. or B.S. Degree from an accredited university (may substitute an Associate degree plus 4 additional years of experience). We are an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Hitachi Vantara combines technology, intellectual property and industry knowledge to deliver data-managing solutions that help enterprises improve their customers’ experiences, develop new revenue streams, and lower the costs of business. Hitachi Vantara elevates your innovation advantage by combining IT, operational technology (OT) and domain expertise. Come join our team and our employee-focused culture, and help drive our customers’ data to meaningful customer outcomes. Enterprise Sales Representative, Data Analytics & IoT – DACH Job Overview This position is responsible for acquiring, expanding and managing large accounts. The territory represents companies with revenues greater than $5B in the DACH Region.  Primary Job Responsibilities Prospect, develop and close new business while creating satisfied and referenceable customers. Drive complex, enterprise wide sales cycles and effectively present Hitachi Vantara’s value proposition to both C-level business and IT stakeholders. Manage an individual sales pipeline to ensure an appropriate mix of prospects, new business opportunities and firm proposals. Acquire and maintain a thorough working knowledge of the company’s software and services and a deep understanding of their applications. Work strategically with Inside Sales to develop a territory and target account plan to create a healthy pipeline that will yield overachievement in booking targets. Orchestrate and manage team selling efforts between Sales Engineering and Professional Services.• Ensure that all stages of the sales cycle are undertaken effectively to achieve the required results whilst adhering to Hitachi Vantara’s chosen sales methodology. Identify and manage risk in his/her business activities and take responsibility for reporting risks in a timely, open and appropriate manner. Forecast, manage and update pipeline activities using Hitachi Vantara’s CRM tool.  Qualifications:     Extensive experience of quota-carrying sales of business applications or software platforms into large enterprises. Knowledge of Business Intelligence, Data Preparation, ETL, Analytics and Enterprise Data Warehouses. Understanding of Big Data and IoT is preferred. Demonstrable track record of over-achievement of individual sales quotas. Extensive experience in prospecting, driving, and closing complex sales cycles. Proven track record of senior level stakeholder engagement on complex IT and Business led opportunities with referenceable client wins. Demonstrable knowledge of key Return on Investment and Total Cost of Ownership principles. Experience with sales methodologies such as MEDDIC, Challenger, Sandler.• Degree educated or equivalent. Other   Interacts with : Direct interactions with prospects and customers, plus coordination with Hitachi Vantara teams including Internal Sales, Sales Engineering and Professional Services. Level of impact : The large enterprise is a critical market segment to Hitachi Vantara and will require strategic, enterprise selling, driving net new sales and expansion of our footprint across the territory.

For a project at our client's site, an international bank based in Zurich, we are looking for an experienced Big Data Engineer. In this role you want to operate and maintain a whole platform. QUALIFICATIONS  Several Years of Big Data Experience, Data Pipelines and Data Lake Architectures Very experienced in the planning, realization and operation of Big Data Platforms Advanced Knowledge of Data Integration and Data Engineering Strong knowledge in building automation pipelines, CI / CD using Ansible Experience in Hortonworks HDP, Cloudera CDH, and Data Visualization and Reporting Experience with IBM Power Systems of advantage, BM Watson Studio, IBM DB2, Big SQL, HDF, Ranger, Hive, Yarn of advantage Excellent skills with IBM DB2 is a plus and in complex security requirements in the financial industry Fluent in English, German is an advantage TASKS Engineer and integrate the platform from a technology point of view Engineer core Big Data platform capabilities

For a project at our client ‘s site, an international bank based in Ticino, we are looking for an experienced System Engineer – Linux / Big Data (6075). In this role you are responsible for the Big Data platform based on IBM Power Systems and engineering and operating of the platform from a technology point of view. QUALIFICATION 3-5 years working experience as System Engineer with good understanding in Linux administration, monitoring, and troubleshooting Deep understanding in xCAT (Extreme Cloud Administration Toolkit) and with automated deployment tools like Ansible or Puppet as well as IBM Power Systems Experienced in RHEL system administration (Support Level L1-L3) and KVM virtualization Well versed in Shell Scripting as well as Automated Linux deployments and configuration management Good knowledge of Network management (Vlan, Bridging) and Storage Management (LVM, Raid, encryption) Experienced implementing complex security requirements in the financial industry Nice to have: experience with Hadoop and familiarity with specific characteristics of the Hortonworks / Cloudera stack Fluent in English TASKS Administrate linux system Engineer and operate of the platform from a technology point of view Work in collaboration with Big Data Engineering and DevOps Maintain and continually improve project infrastructure

Atos ist ein weltweit führender Anbieter für die digitale Transformation mit 120.000 Mitarbeitern in 73 Ländern und einem Jahresumsatz von 13 Milliarden Euro. Als europäischer Marktführer für Cloud, Cybersecurity und High Performance Computing bietet die Atos Gruppe Unternehmen mit ihrer Digital Transformation Factory Ende-zu-Ende-Lösungen für Orchestrated Hybrid Cloud, Big Data, Business-Anwendungen und Digital Workplace. Hinzu kommen Services der Tochtergesellschaft Worldline, dem europäischen Marktführer für Zahlungsverkehrs- und Transaktionsdienste. Mit innovativen Technologien und tiefgreifendem Branchenwissen begleitet Atos die digitale Transformation von Kunden aus allen Branchen. Der Konzern ist der weltweite IT-Partner der Olympischen und Paralympischen Spiele. Atos firmiert unter den Marken Atos, Atos Syntel, Unify und Worldline. Atos ist an der Pariser Börse als eine der 40 führenden französischen Aktiengesellschaften (CAC40) notiert. Weitere Informationen finden Sie unter www.atos.net Sind Sie eine kommunikative, teamfähige und initiative Person? Wir bieten Ihnen ein interessantes Aufgabengebiet, agile Entwicklungsmethoden, insbesondere mit Scrum und die Möglichkeit in spannenden Projekten mit nationaler Bedeutung für unsere Kunden und die Schweizer Bevölkerung mitzuarbeiten. Zur Verstärkung unseres Teams im Bereich Mission Critical suchen wir zum nächstmöglichen Zeitpunkt am Standort Zürich einen motivierten   System Engineer   (m/w/d). Ihre Aufgaben Systemintegration, Migration und Upgrade der bestehenden Systeme Integration der eigens entwickelten Software Applikationen in die Systemlandschaft des Kunden Systemintegration direkt vor Ort beim Kunden, mit enger Unterstützung des Entwicklungsteams aus Zürich Unterstützung der Kunden beim Rollout und Aufbau des eigenen Betriebssupports (Dokumentation, Schulungen) Betrieb der internen Entwicklungsplattformen für die Entwicklungsingenieure Unterstützung unserer Kunden im Raum Bern Ihr Profil Sie verfügen über eine erfolgreich abgeschlossene höhere Fachausbildung in Informatik oder Elektrotechnik (FH/Uni/ETH) Sie überzeugen uns durch ihre fundierte praktische Erfahrung in der Administration von Windows Server 2012 oder 2016 (MCSA oder MCSE) Sie bringen gute Kenntnisse in der Administration von MS SQL 2014 oder 2016 Datenbanken mit Solides Wissen über Sicherheitsarchitekturen, Zertifikatshandling, PKI und SSL Fundierte Erfahrung mit der Administration von Active Directory Services Sehr gute Kenntnisse von Virtualisierung mittels VMware vSphere und Kenntnisse in der Administration von Exchange oder SharePoint Plattformen von Vorteil Sind Sie bereit bei der Integration von Projekten direkt bei Kunden im Raum Bern mitzuwirken? Da unsere Projekte im militärischen, behördlichen Umfeld angesiedelt sind, erfüllen Sie die Bedingungen zum Bestehen der erweiterten Personensicherheitsprüfung PSP11 (z.B. Schweizer Staatsbürgerschaft oder Niederlassungsbewilligung C) Verhandlungssichere Deutsch- und sehr gute Englischkenntnisse in Wort und Schrift setzen wir voraus Ihre Bewerbung Nutzen Sie diese Chance und bewerben Sie sich auf diese spannende und vielseitige Funktion. Direktbewerbungen werden bevorzugt. Bitte beachten Sie, dass wir nur vollständige Bewerbungsunterlagen (inkl. Anschreiben, Lebenslauf sowie sämtliche Arbeitszeugnisse und Diplome), im Auswahlprozess berücksichtigen können. Wir freuen uns auf Sie!

Introduction Hours: 40 Up to £73,436 a year dependent on experience Permanent 35-hour per week contract Combining accountabilities for delivery, continuous improvement and building an in-house capability, this exciting new role means you’ll work with cutting-edge technologies and industry leading vendors, as well as helping to drive our strategy. Your initial focus will be on delivering, embedding and evolving a DevOps toolchain to underpin and accelerate our Agile approach to data solutions delivery. What you'll be doing Reporting to the Senior Manager Data Engineering, you will lead the setup of a DevOps capability in the Data Solutions team, delivering efficient data pipelines, driving the adoption of data automation and working to make the delivery teams more efficient.  Linking the data engineers and data operations team you will be helping to implement a DevOps toolchain helping to drive efficient code management, test automation and deployment velocity onto both the Hadoop data lake and the Teradata enterprise warehouse. Working with our designers and engineers, you will be looking continuously for further ways to adopt automation and improve efficiency in ways of working in order to reduce costs and increase pace. In essence, you will be working as part of the team to “create the machine that builds the machine”. Who we're looking for In addition to an inquisitive mindset and a passion for innovation, you will also: Have significant experience of working within a DevOps environment utilising a range of commercial and open source tools, with any exposure to Jira, TFS, UFT, Selenium and Jenkins a bonus Have a background in data engineering or operational support, again within a data domain Be experienced in driving both innovation and automation Have a good understanding and ideally some experience in the Hadoop big data appliance and a broad range of associated technologies, such as Python, R, Spark, HIVE, Scala Be a strong leader with a deep technical understanding as you will be required to set up and lead a team of engineers alongside setting strategy Have excellent stakeholder management and influencing skills It would be nice if you also had: Hands-on experience of commercial ETL tooling, such as Informatica, Ab Initio or DataStage Experience of appliance databases, such as Teradata Have worked in the financial sector for part of your career to date The extras you'll get If you put a lot in, it’s only fair you should get a lot out. So, if you help us do the right thing for our members, we’ll help further your career with us. As part of our team you’ll get: Access to training to help you progress and develop your technical skills and career Pension scheme where if you pay in 7% we’ll top it up to 23% • Life assurance worth 8x your salary 24 days’ holiday plus bank holidays The ability to 'buy’ up to 10 days more holiday Flexible benefits scheme giving you access to discount vouchers at various retail outlets Access to an annual performance related bonus scheme Interested? Please apply by using the  'Apply now'  button. No recruitment agencies please.

Hours: 40  Salary: £53,694- £87,253 a year Introduction We need: Data Analysis and Design Lead in our Head office in Swindon Salary £53,694- £87,253 a year (dependent on current salary and banding) based on a permanent, 35 hours per week contract plus company car or cash allowance We’re moving forward into the next chapter of our Society’s history with a refreshed strategy that allows us to leverage the benefits of mutuality and adapt to the ever-changing needs of our members. Data underpins this and all five of our cornerstones and is a great enabler towards achieving our ambition of building society, nationwide. We’re transforming the way we collect, look after and use member and business data, and that is why we’re creating new roles as an important step in strengthening the data competence we need to realise the opportunity that data presents for our members and colleagues. The Data & Analytics community is responsible for transforming our data and analytics capability to enable our colleagues to better serve our members’ needs. Within the community, the Data and Analytics Solutions team is responsible for the design, engineering, test and deployment of our data platforms and solutions which are at the core of our strategic ambitions. We’re significantly expanding and strengthening our inhouse teams and working closely with key strategic partners to deliver our strategic ambitions. An exciting opportunity has now arisen to join the growing Data Solutions team as the Data Analysis and Design Lead. You’ll be joining us at an exciting time and will have a huge opportunity to help shape our community as we expand our operations and deliver our strategy. Who we're looking for As a minimum requirement, you’ll : Be typically educated to degree level with significant proven experience in leading data analysis and design teams in a reporting and analytics environment using relevant technologies Have proven experience at a senior level in a data analysis and design role with multiple objectives and clients. Extensive experience of hybrid lake and data warehouse architectures and open source technologies. Extensive financial services experience. Have line management experience of managing teams operating at specialist/management level and be used to leading teams through periods of complex change Be highly resilient with the ability to handle conflict and pressure Have proven ability to communicate and influence at all levels and engage confidently with Senior Executives. Demonstrate proven experience of managing and improving supplier performance Possess a detailed knowledge of current and future technologies relevant to Nationwide’s needs Have excellent negotiation and facilitation skills Demonstrate the ability to react with pace to changing demand It would be nice if you also had: Experience in Teradata, Informatica and Hadoop Be able to evidence knowledge of project management methodologies and frameworks What you'll be doing Reporting to the Director of Data & Analytics Solutions, your role will be to develop and implement designs and related working practices to transform Nationwide’s reporting and analytics capabilities in line with both the Data & Analytics Strategy and the IT Strategy whilst continuing to meet regulatory and business demand. The role will lead and develop a team of specialist data analysts and designers and is accountable for the integrity of delivery within your area and for providing consultancy and support services. Key accountabilities will be: Take ownership and lead the design of our strategic data and analytics platforms to transform Nationwide’s data and analytics capabilities. Drive innovation through a deep understanding of technology trends and drivers and their application to our business needs. Accountable for the design and technical analysis strategy in collaboration with Enterprise and Programme Architecture. Accountable for establishing and operating effective governance on solutions to ensure all designs are aligned to the Data & Analytics Strategy, IT Strategy and technical blueprint. Line management of up to 20 direct reports and responsible for contract, supplier, practice resource quality and compliance (on-shore and offshore, up to an additional 50 resources). Accountable for resourcing and building the capabilities within the Data Analysis and Solutions Design team. Additionally, accountable for ensuring a large and complex strategic programme/project portfolio aligns to our strategies through : Accountability for High Level and Detailed Designs Accountable for developing detailed, accurate and clear data requirements Accountable for the production and review of designs and technical requirement across all environments, using expert domain knowledge. Accountable for production and validation of estimates and quotes and driving value from suppliers   The extras you'll get If you put a lot in, it’s only fair you should get a lot out. So, if you help us do the right thing for our members, we’ll help further your career with us. As part of our team you’ll get: Access to training to help you progress and develop your technical skills and career Pension scheme where if you pay in 7% we’ll top it up to 23% Life assurance worth 8x your salary 30 days’ holiday plus bank holidays The ability to 'buy’ up to 10 days more holiday Flexible benefits scheme giving you access to discount vouchers at various retail outlets Access to a Healthcare scheme Access to an annual performance related bonus scheme Company car or allowance worth £4,656 a year Interested? You can apply via the  ''Apply now''  button.

Atos Consulting is a leading Swiss IT consulting company, part of the Atos Group. We work with prestigious international clients in the areas of Industry, Pharma, Insurances, Transport, Trading, Telecommunications, Media and Energy Sector. For our Zurich and Basel team, we are currently looking for a  Big Data/IoT Architect (m/f) Your responsibilities The Big Data/IoT Architect will be responsible for conceptualizing and guiding the full architectural lifecycle of a Big Data solution, including requirements analysis, governance, capacity requirements, technical architecture design, application design, testing and deployment Provide technical direction in a team that designs and develops path breaking large-scale cluster data processing systems and delivering end-to-end solutions/services to customers Interact with domain experts, solution architects and analytics developers to define data models for streaming input and delivering analytics output Helping CxO-level stakeholders to develop strategies that maximize the value of their data, becoming data-driven organizations Help establish thought leadership in the Big Data space by contributing internal papers, technical commentary to the user community and SME activities on presales strategy Your profile The ideal candidate comes from a hands-on background as either BI DWH Development / Data Engineer (+5 years) and evolved to Solution Architect/Innovation Leader Solid cross-vertical expertise (at least 3 verticals between Pharma, Manufacturing, Telco, Insurance, Finance, Consumer Packaged Goods, Retail, Health & Government) Experienced in designing, conceptualizing and implementing Big Data architectures Proven design and implementation experience in: IoT (e.g. Azure, Amazon, GCP) MS BI Stack (SSAS, SSRS, SSIS, Power BI) Big Data Platforms (e.g. Hortonworks, Cloudera) Proven experience in Agile methodology (SCRUM, SAFe,…) Fluent language skills in German and English Your application Are you interested joining a global and dynamic organization, working on challenging and exciting projects and being supported with training opportunities? Please submit your complete application online. We look forward. For recruitment agencies: Atos Consulting does not accept unsolicited applications for any of the roles that we advertise. Furthermore, please note that no legal obligations or respective. compensation would derive from such unsolicited applications. Thank you for your understanding.

In our business and the industries we cover, data is generated continuously from multiple touch points and collected in hundreds of data sources. Increasingly, managing data correctly has resulted in greater competitive advantages and as the Data Analytics organization within GASD (Global Aftermarket Solutions Division), we support business decisions by converting a tremendous volume of data into concrete and valuable insights. The data infrastructure requirements are evolving to drive a culture of data-driven decisions making spanning various teams and objectives globally. As a   Data Engineer , you will join a team of passionate people in a complex data environment, working on the data infrastructure which will respond to these increasing needs for complete, accurate, timely and secure data. You'll support the needs of user teams across Caterpillar GASD (Global Aftermarket Solutions Division) while being an expert on data architecture, quality and operations to deliver and maintain a data mart that help us better understand our business and customers. You'll turn data into a craft and a discipline that returns increasing value at Caterpillar. By joining the Aftermarket Data Analytics Management team, your contributions will drive the next generation of decision making and action taking in Global Aftermarket Solutions at Caterpillar.    You will make a difference by: D riving our Data strategy A chieving Data integrity, security & accessibility targets T ransforming our data processes A dvising users & analysts Responsibilities: Build infrastructure required for optimal extraction, transformation and loading of data from a wide variety of data sources Create controlled data transformation for reporting, incorporating dealer business rules Optimize data analytics, modeling, visualization, transformation and enrichment Operationalize analyst workflows, tables and processes Engage directly with business partners to participate in design and development of data integration/transformation solutions Set up processes and standards for data documentation Less than 10% travel Basic Qualifications: Previous experience as a data engineer, IT Engineer, IT analyst, software developer or data analyst Top Candidates Will Also Have: BS in Computer Science, Computer Engineering, Business Analytics, or related fields 1-2 years software development experience with object-oriented function scripting languages: Python, Java, Javascript, C++, Scala, etc Passion for acquiring, analyzing and transforming data to generate insights Understanding of data structures, algorithms, profiling & optimization Understanding of SQL, ETL design, and data modeling techniques Demonstrated analytical ability, judgment and problem analysis techniques Familiarity with cloud computing concepts Knowledge of big data tools: Hadoop, Spark, Kafka, etc. Knowledge of relational SQL and NoSQL databases, including Postgres and Cassandra Knowledge of data blending tools: Alteryx Knowledge of data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc. Knowledge of AWS cloud services: EC2, EMR, RDS, Snowflake Knowledge of stream-processing systems: Storm, Spark-Streaming, etc. Knowledge of API managers: Apigee, Azure, Catana, etc Knowledge of version control systems: Git, VSTS Thrive in a fast-paced environment that delivers results and has fun Strong attention to detail Great verbal and written communication skills to collaborate cross functionally Interpersonal skills with the ability to work effectively in a cross functional team