40 Data Engineering jobs

Job Description TITLE: ASIC Product Engineer BUSINESS: Mobile Consumer Electronics, Mics LOCATION: Rapperswil, Switzerland COMPANY DESCRIPTION: Knowles Corporation (NYSE: KN) is a market leader and global supplier of advanced micro-acoustic, audio processing, and precision device solutions, serving the mobile consumer electronics, communications, medical, military, aerospace, and industrial markets. Knowles uses its leading position in MEMS (micro-electro-mechanical systems) microphones and strong capabilities in audio processing technologies to optimize audio systems and improve the user experience in mobile, ear, and IoT applications. Knowles is also the leader in acoustics components used in hearing aids and has a strong position in high-end capacitors. Knowles’ focus on the customer, combined with unique technology, proprietary manufacturing techniques, rigorous testing and global scale, enables it to deliver innovative solutions that optimize the user experience. Founded in 1946 and headquartered in Itasca, Illinois, Knowles is a global organization with employees in 11 countries. For more information, visit knowles.com. As a Knowles team member, you are encouraged to challenge the status quo and see possibility in unexpected places. Because of our entrepreneurial culture, the only limit is your imagination. If you thrive in an agile, fast-paced and collaborative environment, you will fit right in. If you are driven by constantly redefining the gold standard of products and services that help customers, you will be a valuable member of Knowles. Let’s move ideas from concept to reality together. SUMMARY DESCRIPTION: In this position you will play an important role in the sustained production of ASICs for MEMS microphone manufacturing. As product engineer you will be responsible for monitoring foundry process performance and test house wafer sort yields. Performing data analysis and material reviews leading to material dispositions ensuring product quality and supply flow. Investigating anomalies in collaboration with internal and external partners. You will be part of the product and test development team based in Rapperswil, Switzerland. Currently composed of 3 product and test development engineers. SPECIFIC DUTIES AND RESPONSIBILITIES: Contributing to the MRB – Material Review Board. Monitoring test house performance through statistical analysis (SYL/SBL & MPE) Driving foundry services to investigate process excursions Applying AQL methods to realize cost efficient test solutions Dynamic test control based on yield performance and failure signatures POSITION REQUIREMENTS: Degree in Electronic Engineering or related field Experience in semiconductor manufacturing environments Experience in test & measurement Experience in statistical data analysis methods using Excel, Python, C or other scripting languages Structured working style Comfortable as a team player and also able to work independently Excellent spoken and written communication skills in English Able to work in a dynamic, high-pace environment

Hours:   Full time Country:   Cressier, Switzerland Who we are VARO Energy is an integrated fuel supply company, which refines, stores, blends and distributes oil products for the North West European market. The company owns a refinery in Cressier, Switzerland, a minority share in the Bayernoil refinery, Southern Germany, storage and blending facilities as well as distribution and marketing businesses in Benelux, France, Germany and Switzerland. For our Technology team located in Cressier (Switzerland) we are looking for: Tasks and responsibilities Ensure all activities are conducted and managed in accordance with agreed site HSSE practices and procedures Provide day-to-day technical support to operations for the process area under responsibility, with the main objective of maximizing profitability and minimize process safety rick Provide long term monitoring of process units under responsibility with the aim to identify opportunities, production and process safety threats and develop ideas for improvement. Provide accurate basic data to LP model and simulation tools and act as custodian of the data Take responsibility for the technical safety and integrity of the processing units under responsibility. This includes development, review and update of plant operating windows, alarm settings and process safety basic information. Act as focal point with designated technical service providers for processing units under responsibility Act as the primary source of technical information of the plant design and operation and process safety Provide support to turnarounds during turnarounds preparation, execution and shutdown/startup phases Carry out troubleshooting and lead or support investigations into upsets, product quality deviations, abnormal operations and process safety incidents Qualifications Masters degree (or equivalent) in chemical, process or mechanical engineering Preferably 2-5 years of experience in refining or equivalent Knowledge in key refining processes (distillation, hydrotreating, reforming, thermal cracking, utilities, oil movements) Understanding of process safety Understanding of (advanced) process control Knowledge of process simulation tool (either Pro II, Hysys, PetroSim, etc...) Knowledge of relevant design, engineering and process safety practices Preferably native French speaker Why work at Varo? Indeterminate contract Great social benefits Respectful work environment in line with our values Ongoing training Challenging work that is rich in learning Want to joint the team? Application deadline : open application Start date : to be determined For information regarding the position, please contact Daniel Märki at 032 758 62 04

Lucerne, Switzerland (Schachan) Full time, 6 months FTC. Part time is also considerable. Fluency in English; German B2 at least. Due to international scope of the business, please send your CV in English. Are you looking to become a valued member of an award-winning clinical research organisation, with a collective goal of positively improving the health and wellbeing of others? Clintec have an Internship available within our specialist Biotech team in Lucerne, Switzerland, and we are currently accepting applications. You will have the opportunity to work dedicated to a world-renowned pharmaceutical leader, on some of the most prestigious and ground-breaking drug development projects impacting lives all over the world. Every employee strives to find innovative ways to overcome obstacles together, and this team centric ethos is crucial to the continued success of Clintec. Our management team recognise that every employee is different, so we offer individual training and development plans to suit your goals and expectations. You’ll enjoy a fast-paced and dynamic environment, where we value inclusion and promote team work. What we can offer you: A competitive salary and benefits package; performance related bonus, private healthcare allowance, pension contribution and flexible working options 25 day’s annual leave per year plus 15 days bank holiday entitlement Career development/training opportunities and a life-long career with an innovative, forward-thinking clinical research company Team focused social events throughout the year, subsidised food canteen and a high-quality working environment What your responsibilities are: Project management support head of Engineering and Facilities Management • Coordinate internal compliance and procurement steps • Coordinate with external parties (customers, vendors) • Supporting budget management (coordination of team members, monitoring) • Depending on background and skills: involvement in policy research projects, including fact checking, health data management etc., development of position papers and key messages, slide decks etc. What we require of you: Holder of an industry specific Degree. • Well presented – able to interact with senior level staff with credibility. • Ability to communicate fluently in English and German, both orally and in writing, • Reliable, proactive and highly organized yet flexible approach to work. • Optimistic and passionate, committed to go the extra mile • Able to work independently We are actively interviewing, so please apply now to register your interest!

Argusa is a young consultancy company based in Lausanne. At Argusa, our mission is to create today, the solutions for tomorrow's challenges. We have a diverse client portfolio, ranging from manufacturing and online retail to luxury goods. The founder and CEO has a 20-year experience in building and managing Business Intelligence (BI) divisions for large companies. The team is composed of doctorate level researchers who have previously worked at CERN and EPFL. As a BI Consultant at Argusa, you will deliver top quality technical expertise and coaching to our clients in Swiss Romandie. Given the diverse IT ecosystems maintained by our clients, you will have the opportunity to learn about the broader BI and data analytics landscape, and develop highly valued skills.   Main tasks: Get involved in BI activities at the premises of our clients Deliver insights and provide solid solutions to the BI requests of our clients Represent our partners and their products to potential clients by designing and presenting demo solutions or proofs of concept (PoC) Keep up-to-date with the latest BI trends Obtain and maintain the expert credentials for our partners   Basic requirements: You have a PhD or a master’s degree in a data driven domain such as Computer Science, Statistics, Physics or Engineering You have excellent communication skills You speak (and write) at least B2 level French You are self-driven, resourceful and result oriented You are enthusiastic about learning technologies You adapt easily to new work contexts and requirements   The following will be considered an asset: Knowledge and experience in SQL Experience with Tableau or similar tools knowledge and experience in Machine Learning projects   Application procedure: Please send a full CV and a motivation letter (both in pdf) to fatima.soomro@argusa.ch Please note that we are only able to consider candidates who have the right to work in Switzerland can write and speak at least B2 level of French  

Swisscontact is the business-oriented independent foundation for international development cooperation. Representedin 36 countries with over 1100 employees, it has been promoting economic, social and environmental developmentsince 1959.To support the finance department at Head Office, operating in an international environment with decentralizedstructures, we are looking for a:Project Data Analyst / Controller (80-100%)Start of employment:Immediately or by agreementType of Contract:PermanentLocation:ZurichTasks Analyse project reporting requirements of our key project donors and consult our project managers andacquisitions / accounting teams on project budgeting standards, budget structuring“good practice”as well as onthe effective use of available and to-be-developed internal monitoring tools, templates and processes Develop, test and roll out new tools and processes to efficiently administer project budgets in our ERP system(Abacus) Create, improve and share various financial reports to support timely, efficient and compliant project accountingin our ERP system (by means of leveraging your understanding of ERP architecture design, data extraction andtransformation as well as data modelling techniques) Support and co-operate with the controlling and business intelligence department as well as with our externalERP developers to digitize key finance processes and donor reporting in line with the needs of our donors,management and staff Support the sustainable development / improvement of our ERP system (Abacus and Abaproject) Support in compiling data for the preparation of the annual financial statements.Requirements University degree or commercial apprenticeship (KV) with relevant further education and expertise in businessinformatics, data warehousing/modelling, controlling, finance, accounting or mathematics At least 3 years of professional experience in data analysis or controlling Strong analytical and conceptual skills and an ability to quickly understand complex business processes as well asfocus on details A good communicator who is able to interact with different levels of management and staff as well as provideclear, concise and compelling messages both verbally and in writing Strong data analysis and reporting skills including sound knowledge of tabular data modelling (with e.g. SQLServer, Power BI, Tableau or equivalent solutions) Proactive, independent and solution-oriented approach and ability to work under pressure Prior knowledge of ERP-systems (including work on ERP customization), Abacus/Abaproject as an advantage Fluent English spoken and written, knowledge of German / French / Spanish as a plus Willingness to travel For foreign applicants: Permit B oder C in Switzerland is a preconditionA job at Swisscontact is characterised by attractive working conditions such as 5 weeks' holiday and a 40-hour week aswell as an interesting, internationally oriented working day. Are you interested in making a contribution todevelopment cooperation at a salary customary in the NGO sector? Then we look forward to receiving yourcompleteapplication to:www.swisscontact.org/jobsProject Data Analyst / Controller(80-100%)We create Opportunities

To support power and gas traders with data acquisition, storage and management and in their daily activities for up to three months, Alpiq Ltd is looking for a motivated intern who is ready to take on a new challenge. Your Responsibilities This position incorporates following tasks: Collecting data from various sources (external data provider, websites or other platforms) via APIs or FTP servers. Building loaders. Solution design and implementation in R. Challenging data quality and consistency. Create and maintain a local database. Your profile Master’s degree in Computer Science/Engineering or similar. Strong R knowledge. Great understanding of APIs and FTP servers. SQL database knowledge is a plus. Knowledge of Energy/Commodity trading is a benefit. Personality: pro-active, communicative and highly organized. Language skills: fluent in English, any additional language is an asset. Swiss nationality, or citizen of a Member State of the European Union with a valid work permit for Switzerland. Your opportunity We offer you modern terms of employment and an interesting and multifaceted area of responsibility in an exciting, dynamic environment. Have we sparked your interest ? Then please apply using our job application portal. Alpiq stands for equal employment opportunities. Designations of persons and functions apply to all sexes. Applicants from recruitment agencies will not be considered for this position. Your opportunity We offer you modern terms of employment and an interesting and multifaceted area of responsibility in an exciting, dynamic environment. Have we sparked your interest? Then please apply using our job application portal. Alpiq stands for equal employment opportunities. Designations of persons and functions apply to all sexes. Applicants from recruitment agencies can only be considered upon prior arrangement by telephone. About Alpiq Alpiq Holding Ltd is a Swiss energy company operating throughout Europe. Its activities include the generation and supply of electricity, energy trading and energy management. Alpiq Ltd. is a subsidiary of Alpiq Holding Ltd. with headquarters in Olten

Working with the Senior Director, Commercial & Business Management within the Aircraft Operations and Safety (AOS) Services Team, this internship is a unique opportunity for a passionate intern to discover and participate to the Inmarsat business planning process that sets out the AOS growth objectives for the next 10 years. During the internship, the successful candidate will support the generation and gathering of relevant market data from various internal and external sources, and automate the detailed AOS forecasting model. This hands-on internship will require the close collaboration with the Aviation Finance team, the Market Intelligence unit, Product Management, Sales Operations and the AOS senior leadership team members. The candidate must therefore feel comfortable at working autonomously in a strongly integrated team. The successful candidate will develop financial planning and analysis skills, and strong insights on a business at the crossroad of two of the most exciting industries today: Satellite Communications and Aviation. Without being an expert, the successful candidate is expected to be sufficiently proficient in data modelling and analysis, database management tools and systems and related programming languages and techniques. Key Tasks: Extract relevant aircraft and airline data from various sources Model and analyse the market demand for AOS products and services Support the development and automate the AOS forecasting model Document the activity throughout the internship Present results and conclusions Qualifications Essential Knowledge and Skills: Great attention to detail with the ability to quickly spot trends or inconsistencies in data Strong analytical skills and ability to develop models that can be easily understood Advanced Microsoft Excel and PowerPoint Skills Excellent communication and interpersonal skills Ability to work under pressure to meet tight deadlines when required and in autonomy when needed Ability to rapidly train using company tools and techniques (Tableau, Sales Force) Programming skills to automate the production of reports using Excel or other in-house products On-going studies at Master level with a preferred major in data science, data management, DBMS programming and languages, financial modelling and analysis Additional Information You must be eligible to work in this location advertised. Inmarsat Values: Our values define Inmarsat’s culture and represent what we believe in. Inmarsat employees aspire to certain behaviours which support our corporate values, they create a stronger working environment and lie at the heart of our continued success as an organisation. Accountability – taking ownership, getting results and keeping our promises Respect – collaborating, embracing diversity and valuing differences Excellence – creating bold solutions for our customers and putting quality at the heart of everything we do

Our Marketing and Sales teams are passionate about bringing our medicines and vaccines to our customers around the world and support them by providing clinical information about products, educational information, clinical training programs and resources. We support healthcare providers and healthcare systems meet the goals of the patients in their communities. For our Swiss subsidiary in Global Human Health based in Lucerne we are currently looking for an experienced   Digital Data Analyst   working together with a cross functional team on engaging ways of communicating and interacting with customers and patients through digital channels and technologies. (full-time, indefinite). We are looking for an individual who is passionate to drive insights through digital analytics and constantly improve based on data to provide a state-of-the-art user experience for our customers and patients. THE PRIMARY ACTIVITIES INCLUDE BUT ARE NOT LIMITED TO: Bringing analytics capabilities into agile marketing by generating insights from data Fostering a data driven mindset and analytical decision making ensuring the best user experience for customers and patients Establishing and monitoring KPIs for digital marketing campaigns, newsletters, infographics, videos, animations, websites, landing pages, mobile applications, social media, etc. Frequently communicating actionable insights, learnings and reports to the agile marketing team and other stakeholders Building new analytical capabilities and tools together with various Teams/Groups Staying on top of the latest digital analytics, measuring methodologies and technology trends Supporting the creation of user stories together with the product owner and participating in sprint meetings QUALIFICATIONS: Technical Skills: Bachelor’s degree in Mathematics, Economics, Information System Management or equivalent qualification. Experience in data analysis for digital marketing. Experience working on digital products together with IT departments. Experience with personalization, targeting and segmentation. Experience in data visualization and reporting. Experience with google analytics, web trends, tableau, QlikView or similar tools. Knowledge of correlation between transactional analytics data and customer feedback. Relevant experience in pharmaceutical industry and/or medical device industry is an asset. Knowledge of SQL and programming languages such as Python a plus. Proficiency at a business level of English and German languages. French knowledge is a plus and strongly desired. Personal competences: Strong analytical mindset to translate data into meaningful information for the business. Analytical and data driven approach to digital marketing. Ability to communicate, facilitate and present in a concise and persuasive manner to peers and senior management. User-centred design perspective to ensure the best possible experiences for our customers and patients. Ability to work with cross-functional teams. Deadline-driven and flexibility to accommodate variable workloads. Our Human Health Division maintains a “patient first, profits later” ideology. The organization is comprised of sales, marketing, market access, digital analytics and commercial professionals who are passionate about their role in bringing our medicines to our customers worldwide. THE COMPANY… Surrounded by the Swiss Alps in the heart of Switzerland, we have four sites in and around the Lucerne region. Switzerland serves as our regional headquarters and 1,000 employees from more than 50 nations work collaboratively in national and international positions. Our people work in a diverse range of functions including Sales, Marketing, Policy, R&D, Manufacturing, Quality Assurance, Clinical Research and Support Functions. Global Supply Chain Management is located in Switzerland with logistics and transportation being coordinated across more than 140 markets. At our Werthenstein BioPharma site in Schachen we research, develop and analyse new biological agents and new products, deliver clinical trial products for global clinical studies and operate one of our three global forensic laboratories. We are proud to take an active role engaging with the local community, supporting the “Trendtage Gesundheit Luzern” health congress and sponsoring the “Swiss City Marathon Lucerne”. We are proud to be certified as a “Top Employer Switzerland” and “Top Employer Europe” showing our commitment to our employees and the community around us. WHO WE ARE … Merck & Co., Inc., Kenilworth, New Jersey, USA is known as “Merck” in the United States, Canada & Puerto Rico. We are known as “MSD” in Europe, Middle East, Africa, Latin America & Asia Pacific. We are a global biopharmaceutical leader with a diverse portfolio of prescription medicines, oncology, vaccines and animal health products. We are driven by our purpose to develop and deliver innovative products that save and improve lives. With 69,000 employees operating in more than 140 countries, we offer state of the art laboratories, plants and offices that are designed to Inspire our employees as we learn, develop and grow in our careers. We are proud of our 125 years of service to humanity and continue to be one of the world’s biggest investors in Research & Development. WHAT WE LOOK FOR … In a world of rapid innovation, we seek brave Inventors who want to make an Impact in all aspects of our business, enabling breakthroughs that will affect generations to come. We encourage you to bring your disruptive thinking, collaborative spirit and diverse perspective to our organization. Together we will continue Inventing For Life, Impacting Lives while Inspiring Your Career Growth. INVENT. IMPACT. INSPIRE. We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively for the common good. We are an equal opportunity employer, committed to fostering an inclusive and diverse workplace. Search Firm Representatives Please Read Carefully Merck & Co., Inc., Kenilworth, NJ, USA, also known as Merck Sharp & Dohme Corp., Kenilworth, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.

Enable all levels and functions of the business domain to obtain the required information, analyses and insights to make informed business decisions. Participate to the definition and conception of business domain data warehouse and data marts to provide business value based on meaningful data insights and metrics. Responsibilities and duties: Transform data into business KPI’s and metrics to provide meaningful business insights. Identify the business rules needed to fulfil the demand. Map the capability roadmap in alignment with business and IT function. Drive the adoption of the BI/analytics solutions provided by IT (e.g. data warehouse, Power BI, etc) to the business by guiding them to make best use of it. Contribute for the design and maintenance of the business data models. Consulted on the logical data model in collaboration with the IT BI team (e.g. data engineer, system analyst, etc.). Work with stakeholders throughout the organization to promote data science capabilities (e.g. statistics, AI, etc) to deliver better business outcomes. Issue complex analytics and reporting solutions including the presentation layer. Ensure that business requirements are met. Run proofs of concept. Support the solution end-to-end from industrialization until go-live. Ensure that master data is aligned in collaboration with the master data team. Participate in peer networking / alignment / best practice sharing across domains with the corresponding Data Analysts. Required Experience & Competences: Bachelor’s Degree in computer science Data science, data analysis and advanced analytics Data modelling & integration Communication skills In-depth knowledge of BI and analytics technology, both back- and front-end, and advanced tools and techniques to exploit data (e.g. MS SQL, TSQL, PowerBI, Python, etc).

Summary Posted:   Dec 16, 2019 Role Number: 200134046 As an engineer in the Special Projects Group, you will be part of a team building infrastructure and tools for exciting new technologies that will shape the future. You will work in a startup-like environment where products are still being defined and developed, giving you the chance to influence some of the core tools used by the project. You will be part of every stage of development from concept to deployment. We are looking for an engineer to architect, build and scale a robust ecosystem for data processing and compute services. Specifically you will develop solutions that will orchestrate and support the seamless transitioning of petabytes of data through different stages like ingestion, indexing/mining, transformation, machine learning and algorithm validation. You’ll join a phenomenal team of hardworking engineers and researchers with deep experience in robotics, machine learning, and software engineering. We will research and develop innovative ML strategies for challenging problems that will affect future Apple products. We hope you’re passionate about the values that drive us.Key Qualifications You have hands-on experience in building distributed systems, including real-time streaming and batch data processing You are proficient in multiple programming languages relevant for such systems (e.g. Python, Java, C++, Go) You know what it takes to deploy and operate high availability production systems in the cloud You have experience designing service-oriented architectures and using various data stores technologies (blob, NoSQL, and relational) You have experience with cloud computing platform like AWS, GCP and Azure Description Develop and scale a data processing platform using the latest open-source technologies Develop an ETL plugin system that will enable researchers and other developers to submit and run data processing jobs in the cloud easily Define a consistent continuous integration/deployment model that will encourage multi-functional development teams to self-service application unit testing, deployment and operations Influence and lead cross-functional initiatives that will align the team towards commonly used technologies and methodologies Experience with full stack application development Experience with Machine Learning / Artificial Intelligence research and development projectsEducation & ExperienceBS OR MS CS/CE/EE (OR EQUIVALENT)

Wir sind eine Schweizer IT-Consulting Firma. Wir bauen innovative Lösungen beim Kunden vor Ort. Uns gibt es schon seit über 20 Jahren, aber wir leben immer noch eine Start-up Mentalität – 140 Leute, Flat Hierarchy, No Politics, Lots of Fun! Bei uns gilt: People First! Jeder kann sich bei uns einbringen und zum Experten werden. Wissen wird geteilt und gegenseitige Unterstützung ist zentral. We’re ONE Team! Hast du kürzlich dein Studium erfolgreich beendet oder stehst du gerade vor dem Abschluss? Dann wag den Schritt in die IT Consulting-Welt. Deine Challenges Du arbeitest in einem mixed Team (Kunde & ipt), wo du eine innovative, skalierbare Datenlösung im Bereich Big Data mit modernen Technologien implementierst Kundenbedürfnisse abholen und verstehen, was für die Umsetzung der Big Data Projekte relevant ist Du bereitest strukturierte und unstrukturierte Datenbestände mit unterschiedlichen Datentypen und Formaten für analytische Zwecke auf Du unterstützt den Kunden durch agile Entwicklungsmethoden Das bringst du mit Abgeschlossenes Studium (Informatik, Wirtschaftsinformatik, Mathematik, Elektrotechnik, Physik o.ä.) Erste Projekterfahrung im Software Engineering, z.B. im Rahmen eines Praktikums Know-how in Big Data Technologien z.B Spark, Hadoop, Rapidminer, Hive oder Impala von Vorteil Leidenschaft, sich schnell in neue Themen und Technologien einzuarbeiten Teamplayer und starke kommunikative Fähigkeiten Professionelles Auftreten und fliessende Deutsch- und Englischkenntnisse Das sind unsere Benefits für dich Entwicklung + Perspektive: Individuelle Weiterbildungs- und Entwicklungsmöglichkeiten basierend auf deinen Karrierevorstellungen Gemeinsame Aktivitäten: Nach getaner Arbeit treffen wir uns auch gerne mal zum Sport oder Feierabendbier Bring Your Own Device: Guthaben für eigene Devices, die du selber auswählst – ganz nach deinen Vorlieben Hardfacts Dein Arbeitsort ist vor Ort beim Kunden in der Deutschschweiz (ZH, LU, BS, BE) 80-100% Pensum Dieses Stelleninserat umschreibt ein Szenario, das dich in einem Projekt erwarten könnte. Wir suchen daher Talente, die für verschiedene Themen und Technologien offen sind. «We hire for attitude and train for skills»   – Wir erwarten nicht, dass du bereits mehrjährige Berufserfahrung mitbringst. Vielmehr wollen wir dich gezielt fördern. Bist du technisch affin und hast Freude an Kundenkontakt und Beratung? Magst du es technisch hands-on zu arbeiten? Dann ist ipt genau die richtige Firma! Hast du Fragen? Simal Papadopoulos Human Resources

Wir sind eine Schweizer IT-Consulting Firma. Wir bauen innovative Lösungen beim Kunden vor Ort. Uns gibt es schon seit über 20 Jahren, aber wir leben immer noch eine Start-up Mentalität – 140 Leute, Flat Hierarchy, No Politics, Lots of Fun! Bei uns gilt: People First! Jeder kann sich bei uns einbringen und zum Experten werden. Wissen wird geteilt und gegenseitige Unterstützung ist zentral. We’re ONE Team! Deine Challenges Du berätst unsere Kunden und verstehst deren Bedürfnisse. Dabei konzipierst du Big Data Projekte und setzt diese im Team mit innovativen Technologien um Du bereitest strukturierte und unstrukturierte Datenbestände mit unterschiedlichen Datentypen und Formaten für analytische Zwecke auf Konzipieren und Einrichten von Werkzeugen für die Datenverarbeitung Daten Pipelines automatisieren für die Konsolidierung, Bereinigung und Bereitstellung von Daten Du bringst dich zu Themen ein, die Data Governance, Access Management und Security betreffen Das bringst du mit 2-6 Jahre Projekterfahrung im Software oder Data Engineering und fundiertes Know-how Big Data Technologien Sehr guter Umgang mit Daten, Speichertechnologien und Transformationswerkzeugen Vertiefte Kenntnisse in mind. einer Big Data Technologie wie z.B. Spark, Hadoop, Rapidminer, Hive oder Impala Abgeschlossenes Studium (Informatik, Wirtschaftsinformatik, Mathematik, Elektrotechnik, Physik o.ä.) Leidenschaft, sich schnell in neue Themen und Technologien einzuarbeiten Sehr gute analytische, methodische und konzeptionelle Fähigkeiten Teamplayer und starke kommunikative Fähigkeiten Professionelles Auftreten und fliessende Deutsch- und Englischkenntnisse Das sind unsere Benefits für dich Garantierte Abwechslung: Verschiedene Kunden, Themen, Methoden und Technologien – als Consultant wird es nicht langweilig Frequent Check-in: Mitarbeitergespräche führen wir agil – du bestimmst selbst wann, mit wem und wie oft Soziales Engagement: Jeder hat die Möglichkeit, sich sozial zu engagieren Hardfacts Dein Arbeitsort ist vor Ort beim Kunden in der Deutschschweiz (ZH, LU, BS, BE) 80-100% Pensum Dieses Stelleninserat umschreibt ein Szenario, das dich in einem Projekt erwarten könnte. Wir suchen daher Talente, die für verschiedene Themen und Technologien offen sind. Hast du Fragen? Sina Bachmann Human Resources

Location: Biel, Switzerland Type of Employee: Full Time 100% Summary : Power Integrations Inc.   is looking for an experienced Product Engineering Manager. The position will mainly be responsible with New Product Introduction, Yield Analysis and yield issue. Responsibilities: Management of the Product Engineering team in Asia: one Product Engineer and one Database Analyst Responsible that the New Product Introduction and Qualification of Test Process follows the internal and customer requirements Responsible for the yield analysis process (New Product Introduction and standard production) Lead and coordinate yield improvement actions with all stakeholders: intern with Quality, Test and Development team, extern with our manufacturing subcontractor Lead and coordinate low yield issue in production: containment actions, root cause and corrective actions Contribute to Test specification, Design for Testability (DfT) studies and Test Failure Mode and Effect Analysis (TFMEA) to ensure maximum test coverage on new products and initiates test coverage improvements with Test Engineers. Lead the qualification of our automotive business for Operations Responsible for the product related documentation Qualifications and Requirements: BSc/MSc degree in Electronics/Electrical Engineering (or equivalent) At least 5 years of recent experience as Product Engineer in the PCBA electronic industry. Automotive experience is really a plus Knowledge in power electronics, analog and mixed-signal electronics and ability to read and understand schematics are required. Experience and knowledge of IGBT gate drivers is a plus. Experience in test (ICT and functional test) Board-level (PCBA) assembly experience Experience in automotive PPAP process Good knowledge of Statistical Process Control (SPC) and statistical tools. Yield analysis software/database experience and ability to demonstrate knowledge of statistical capabilities are required. Six Sigma certification is an advantage. Experience in data analysis and data mining tools (Spotfire , R or Python,) Clear written and verbal communication skills in English are required. Must have systematic and result oriented work style, capability for multitasking job. A self-starter Ready to travel periodically to the subcontractors

Glattpark (Opfikon - Zürich) Duties and responsibilities: Manage and operate Sunrise fixed data network. Perform diagnostics on Fixed Data Network elements and run tests against the impacted resources to identify of cause of specific trouble. Manage medium to large provisioning tasks configuring network elements and testing end-to-end service. Create, plan and submit Change Request on the Fixed Data Network. Troubleshoot Customer Trouble Tickets. Perform complex preventive maintenance tasks. Determine the (security) risk and impact of implementing a Change Request. Monitor and maintain the operational status of fixed network through regular evaluation of trouble ticket reports and performance statistics. Perform configuration changes in the network related to NTT or driven by Sunrise engineering work orders. Complete technical support deliverables as defined in the project plan. Keep up to date with latest development of telecommunications technologies. Maintain close relations with third parties (i.e. vendors) to be able to monitor progress of reported problems, known caveats, newly available features, software upgrades and hardware products. Foresee possible conflicts and improvements to operational services. Assist in design, engineering, testing and rollout of newly defined Sunrise products. Qualifications: Degree in Telecommunication or Computer Science, CCNP-SP/CCIE certification level. At least 5 years’ experience in Fixed Data network operation and management. Fluency in English is a must, German is considered as a plus. Experience with Operators’ O&M Departments or other Managed Services Organizations is a plus. Comprehensive and in-depth knowledge of Fixed Data Network architecture. Consolidated experience with systems and technologies from Huawei, Cisco, Juniper. Knowledge of Clarify and Remedy tickets tools, Adtran DSLAM, Huawei/Cisco/Juniper high-end routers and L3 switches, IP Quartz Clock, MPLS, LDP, L2VPN Martini and Kompella drafts, L3VPN, MP-BGP, NG-MVPN, ISIS, OSPF, eBGP internet peering, Router Reflectors, XML and scripting languages Proven ability to participate in large scale projects, to implement project requirements and to provide project technical support. Capability to understand process frameworks and to support process implementation and optimization. Extensive practice in drawing up technical or operational specifications and to understand requirements from the customer or the field forces. Solid understanding of security rules and standards. Ability to work in a culturally diverse, high paced organization. At Sunrise, you will be working in a dynamic environment where a lot can be achieved through dedication. A wide range of opportunities for professional development will be available to you. In addition to progressive employee benefits, you will receive attractive telecommunications offers. We believe that teamwork is the key to making work fun. Do you agree? Then seize the moment and apply online! Please note that we only accept applications via our online tool.

Our team is focused on real-time computer vision and image processing, combining modern machine learning approaches with geometric knowledge from Computer Vision. In the context of machine learning we need to collect large amounts of data, push it reliably through data processing pipelines, let large clouds crunch on it, continuously verify and report the accuracy of the resulting algorithms, and finally transfer trained models to products. We are working on the groundbreaking of academic research while creating shipping features, such as portrait mode, ARKit and Animoji. We are looking for a talented person who feels eager to act both, as a Software Engineer as well as Data Engineer, to shape the future of our data pipelines. You will be working in a diverse, fast moving team based in Zürich and will interact regularly with teams based in Cupertino, USA.Key Qualifications High-level understanding as well as hands-on experience in implementing data pipelines Proficient in scripting and/or functional programming languages such as Python, Scala, Bash, Groovy, Ruby Experience with database, message queueing, and data streaming solutions (for instance: PostgreSQL, AWS RDS, Apache Kafka, AWS Kinesis, RabbitMQ, Redis, Apache Spark, or similar tools) Experience in (regression) testing data pipelines Experience with DevOps and application monitoring tools is a plus (for instance: Docker, Kubernetes, Terraform, CloudFormation, Ansible, Chef, Puppet, Salt, Splunk, Elastic/ELK Stack, Sentry, Datadog, or similar tools) Knowledge of Machine Learning and Computer Vision is a plus Knowledge of Mac and Linux environments is a plus DescriptionYou will be working on data pipelines to support the development of the next generation video and image analysis projects in our computer vision research. Our work is focused on real time performance and finds its way into the whole range of future apple products. Your contribution will ensure that Apple delivers these products with the highest quality.Education & Experience Bachelor / Master Computer Science or equivalent work experience If this is you, we'd love to hear from you.

Innovate to solve the world's most important challenges As a key role within the Engineering Excellence team, the Advanced Project Engineer is responsible for supporting the broader Honeywell software engineering community with best-in-class software development tools and best practices as well as the implementation of associated monitoring and visualization tools In this cross functional role, the advanced project engineer has end-to-end ownership and accountability for the deployment of shared software development tools, applications, and best practices: starting with the ideation and up to the final implementation through evangelization, hands-on engagement with product development teams and continuous improvement afterwards. The successful candidate will connect both vertically within his/her own practice, serving the software engineering community needs, as well as horizontally across the HBT organization and in collaboration with IT, SW Tools Operations Leader and Agile Release Train practitioners improve the adoption of agile development practices and standardized DevOps tools. What you will do at Honeywell? Standardize DevOps tools and Infrastructure Standardize, develop and maintain common development tools and infrastructure, such as CI/CD pipelines, monitoring, config management, etc. Coach and mentor teams on DevOps practices Maintain documentation of all infrastructure related components including build and modifications Work within strict time frames following change management protocols to provide maximum uptime Address escalated infrastructure issues, and monitor infrastructure components for performance, capacity, failures, and uptime Drive Visualization & Analytics Architect and build a common BI and data aggregation infrastructure to collect and visualize key DevOps metrics Align and integrate live data from multiple engineering, financial and operational applications Cross collaborate with Honeywell IT to ensure applications uptime or for incidents resolution Derive inference from data to identify and drive improvements Drive Automation Drive and evangelize end-to-end automation across product engineering teams (test automation, deployment and release automation, …) Closely engage with engineering teams to building virtual services and prototypes to aid in verification and validation Identify and support deployment of simulation and early validation tools and techniques for teams developing hardware and software components You're offering these qualifications 6+ years relevant experience Be accurate and deliver quality - have a “roll up your sleeves and dive in” attitude Experience in building, running and scaling micro-services using Kubernetes / OpenShift / Docker Automation experience in Public or Private cloud environments, with a strong understanding of infrastructure as code Practical knowledge of commonly used Big Data, BI and Data Analysis infrastructure components and visualization frontends Experienced with deployment and operation of monitoring and logging systems (e.g. Splunk, CloudWatch, ELK, TICK) Senior Linux and Windows engineering skills Ability to effectively prioritize and execute tasks in a high-pressure environment Quick learner and always open to work on the new tools and technologies Strong written, oral, and interpersonal communications skills Excellent problem-solving skills and demonstration of critical thinking If you are interested, please click "apply now" button or send your CV in English at lukasz.pluskota(at)honeywell.com

Vorweg schon einmal einige unserer Pluspunkte Eine fast schon unglaublich grosse Vielfalt an Themen und ein genialer Mix aus Forschung und Lehre. Grosse Freiheiten bei der Gestaltung der Arbeit und ganz viel Auslauf für Ihre Ideen, Kreativität und Entscheidungsfreude. Teilzeitarbeit gehört bei uns fast schon zum Standard – für Frauen und Männer. Was Sie hier tun Im Studiengang BSc Informatik in der Vertiefungsrichtung "Data Engineering" unterrichten und mitarbeiten Grundlagenfächer in der Informatik wie zum Beispiel 00-Programmierung, Algorithmik lehren und vermitteln Studierende bei ihren Projekten, Bachelor- und Master-Arbeiten unterstützen und betreuen Im Gebiet des Data Engineering forschen, sowie Projektakquise auf nationaler und europäischer Ebene betreiben Mit Hochschulpartnern, Wirtschaft, Innosuisse, SNF und europäischen Förderinstitutionen Projektkooperationen eingehen und sich vernetzen Was Sie idealerweise mitbringen Hochschulstudium in Informatik oder verwandtem Gebiet, Doktorat und Erfahrung in angewandter Forschung ist erwünscht Hohe fachliche Kompetenz in einem oder mehreren der folgenden Themengebiete: Machine Learning, Information Retrieval, Recommendation Systems Fähigkeit und Netzwerk um Forschungsprojekte zu akquirieren und zu leiten. Idealerweise Erfahrung bei der Akquise europäischer Förderprojekte Freude und Begabung in der Vermittlung anspruchsvoller Lehrinhalte in einem dynamischen Fachgebiet Befähigung in Deutsch und idealerweise auch in Französisch zu unterrichten Das Departement Technik und Informatik Im Departement Technik und Informatik gehen wir nicht mit der Zeit – meist sind wir ihr ein wenig voraus! Uns fasziniert, wie die Technologie im Alltag der Menschen Nutzen stiften kann. Unser Wissen gewinnen wir durch Forschung und gemeinsame Projekte mit Industrie und Wirtschaft. Diese neuesten Erkenntnisse geben wir laufend an die Studierenden weiter.

A permanent contract with the leader in innovation and high-tech engineering consulting. A multi-stage model with career opportunities through specialization prospects, as well as with over 45'000 consultants around the world and revenue of EUR. 2.9 Bn, the Altran Group is the undisputed global leader in Engineering and R&D services (ER&D). In Switzerland, Altran employs more than 250 consultants and aims towards large growth with offices located in Zürich, Basel, Lausanne and Geneva. Your role As Data Analyst, you will provide scientific data support to running BG+E operations and other customers within the organization. We are looking for a passionate Data Analyst, to turn data into information, information into insight and insight into business decisions in close collaboration with our production specialists. Your experience, analytical approach and knowledge will be crucial for identifying process improvements, to ensure a stable manufacturing processes and an outstanding customer experience. You will be part of our data analytics team and will work in a dynamic environment at the pulse of our digital journey. Main Tasks: Develop and implement data collection systems and develop and monitor KPI’s to support the production teams to strategically steer and continuously improve quality improvement initiatives. Acquire data from primary and secondary (internal and external) sources and maintain data warehouse. Optimize statistical efficiency and data quality in close collaboration with the production teams. Provide statistical knowhow for the establishment, maintaining and continuously improving the processes in close collaboration with engineering specialists. Identify, analyze, and interpret trends of patterns in complex big data sets to improve yield, quality and customer satisfaction. Provide the data analysis and be a key participant in the manufacturing problem solving process to ensure a fact based and data driven decision-making. Your profile MSc in Statistics, Mathematics, Computer Science of Information Management At least 3 years relevant experience as a Data Analytics Engineer Advanced programming skills (R, SQL, Matlab) English fluent in written and spoken Communicative with Interfaces experience Strong analytical skills with the ability to collect, analyze and disseminate significant amounts of information with attention to detail and accuracy in big data sets Technical skills with data models, database design, data mining and segmentation techniques and experience using statistical packages You are someone who wants to influence your own development You have a passion for extracting conclusions out of big data sets and transform it into fact based decisions in an In-vitro Diagnostics production/operations environment

Unser Auftraggeber gehört zu den führenden IT-Dienstleister im Gesundheitswesen mit modernstem SAS-Angebot in hochverfügbaren Rechenzentren. Zur weiteren Entwicklung des modernen Aqngebotes suchen wir im Mandatsauftrag mehrere ORACLE Spezialisten mit besten Kenntnissen von Oracle Service Bus. Aufgabe Beratung und Betreuung unserer interner und externer Kunden • Bereitstellung von Unternehmensstammdaten für die ganze CH • Verwalten und Durchsetzen lokaler Richtlinien für ein effektives Datenmanagement • Kommunikation mit Datenadministratoren und Zusammenarbeit mit Corporate Level Data Manager • Entwicklung von Datenintegrationsprozessen |Installation und Konfiguration von neuen Funktionen und Updaten der Middleware Infrastruktur - Organisation und Durchführung von Applikations-Releases sowie Release Engineering - Erstellung von technischen Konzepten und Teilprojektleitung im Middleware-Umfeld - Applikationssupport, Monitoring und Sicherstellen der Verfügbarkeit der Applikationen sowie der Compliance - Aufsetzen und Pflegen der Dokumentation Profil Kooperative, belastbare und verantwortungsbewusste Persönlichkeit- Engagierter und zuverlässiger Teamplayer mit einer methodischen Arbeitsweise - Abgeschlossene Informatik-Ausbildung (HF/FH)- Gute Kenntnisse von Unix/Linux (Oracle Enterprise Linux, RedHat) und Shell Scripting- Mehrjährige Berufserfahrung mit Oracle Weblogic oder anderen Middleware (JBoss, WebSphere, JMS, Datasource, JMX, Deploymen, Deploymentplans usw.)) - Kenntnisse von Oracle Service Bus, Oracle Enterprise Manager für Middleware, Java oder Syrius sind von Vorteil - Gute Kenntnisse in WLST Scripting - Kenntnisse von serviceorientierten Architekturen (SOA/EAI) - Kennt sich in Maven aus und kann Scrips schreiben - Deutsch, mündlich sehr gut; Englisch mündlich gut und gutes Lesen/Verstehen Angebot Wir bieten eine vielseitige und anspruchsvolle Tätigkeit, ein Angenehmes Arbeitsklima in einem engagierten und dynamischen Team, spannende Möglichkeit zur Fort- und Weiterbildung, 5 Wochen Ferien

Julius Baer is the leading Swiss private banking group with a focus on servicing and advising sophisticated private clients and a premium brand in global wealth management. That is why a comprehensive range of services and first-class service quality are essential – as are the committed teams that provide them. Innovation, operative excellence and appreciation to our employees influence the IT of Bank Julius Baer. We invest continuously in the development of our existing IT landscape and offer through progressive thinking and efficiency the best possible service to our business units. As part of our global and strategic initiatives back office, channel, partner and wealth management systems will be replaced by future-oriented new solutions. To support our strategy, we are looking for the best talents who are willing to shape this challenging journey with us. If this appeals to you, then you should contact us. YOUR CHALLENGE Technical data engineer for Data & Analytics platform based on Kubernetes and Hadoop Responsible for data architecture across the common part of the data platform Determines structural requirements and architecture for structural changes Implementation of the requirements and Data & Analytics platform Strive to identify re-use potential across different data platform consumers Key resource for data onboarding & implementation tasks incl. testing of newly sourced data sets REQUIREMENTS Higher education (e.g. “Fachhochschule”, “Wirtschaftsinformatik”) Good knowledge in R, Phython, Nifi and Jupyter Notebook 5-10 years experience in data architecture and or similar role Banking Know-How welcome German and English language skills Good knowledge in data engineering Deep knowledge in technical and process driven data integration Familiar with data management across different divisions Experience in agile methodology Contact Person: Michael Schüpbach, HR Recruitment Consultant, +41 58 887 38 57 We are looking forward to receiving your full job application through our online application tool. You can find further interesting job opportunities from the Home Page or under Similar Jobs section.