28 jobs found

Responsiblities Further development, enhancement and parametrization of systems for financial instruments master data (using Unix Shell and Oracle PL/SQL) Parametrization of data mappings and validation rules Implement data mappings from data feed providers to the master data system and further to data consumers Develop import/export rules and tools Analysis, programming and engineering of Unix Shell scripts and Oracle PL/SQL scripts Assist in bug fixing and analysing production issues Anforderungen Requirements Several years of engineering experience in Unix Shell scripts and Oracle PL/SQL scripts Experience in automated data processing, data mappings and ETL Work experience in a bank and general understanding of banking processes Fluent English language skills Nice to have German language skills Parametrization of standard banking systems Knowledge of Java and JBoss Experience in financial instruments master data Personal skills Pro-active approach Team player Angebot In dieser herausfordernden Position profitieren Sie vom stetigen Wissensaustausch und der Vernetzung mit anderen Consultants sowie von verschiedensten Weiterbildungsmöglichkeiten. Sie können Ihre Fähigkeiten und Ihr Engagement in interessante Projekte einbringen und haben die Möglichkeit, mit dem Unternehmen zu wachsen.

Wir suchen dich als Data Engineer mit Flair für Analytics. Überleg nicht lang, komm zu uns Möchtest du ein NOSER werden und die Zukunft mitgestalten? Dann bewirb dich bei uns. Ein Ort, an dem echte Wertschätzung gelebt wird. Noser Engineering unterstützt lokale und multinationale Unternehmungen mit individuellen digitalen Lösungen. Als führendes und etabliertes Schweizer Software-Unternehmen entwickeln wir mit mehr als 200 Consultants und Ingenieure erfolgreich Geschäftsmodelle und Produkte. Wir begleiten die Kunden von der Idee über die Realisierung zum Betrieb und bis zur Wartung und Weiterentwicklung. Sie vertrauen auf unsere breite Erfahrung sowie auf unseren Einsatz von neusten Technologien. Gemeinsam erreichen wir nachhaltig die Geschäftsziele unserer Kunden - we know how. Deine Aufgaben: Du nimmt die Kundenanforderungen auf, entwirfst skalierbare Lösungs-und Datenarchitekturen und implementierst diese auch selbst auf Azure Du Modellierst Data Warehouse Lösungen und ETL/ELT Pipelines unter Verwendung von Best Practices mit aktuellsten Technologien Beraten von Kunden und internen Solution Architekten im Bereich Big Data und Analytics Unterstützung des Verkaufs bei Konzeption und Aufwandsschätzung in Angeboten und bei der Erstellung von Prototypen z.B. mit Power BI Du entwickelst zusammen mit Solution Architekt, Projektleiter, Entwicklern und Testern Cloud-/IoT-Lösungen Dein Profil: Praxiserfahrung im Erstellen von skalierbaren Datenplattformen mit Azure Technologien Datenverarbeitung mittels Data Factory, Spark (Databricks oder HDInsight), Stream Analytics Erfahrung im Entwickeln von Analytics Lösungen mit SQL Datawarehouse, Azure Storage, Power BI (zwingend), Analysis Services, Data Lake Storage (von Vorteil) Fähigkeit einfache Machine Learning Modelle zu implementieren z.B. mit Spark ML Zwingende Python und SQL Kenntnisse, C#, Scala, R von Vorteil Wir bieten dir: Du arbeitest in einem modernen und agilen Unternehmen mit attraktiver Arbeitsplatzkultur. Mitarbeiterzufriedenheit wird bei uns grossgeschrieben. Das bestätigen die positiven Bewertungen auf www.kununu.com . Es erwarten dich herausfordernde und hochspannende Projekte in einem dynamischen Team. Der Leitsatz «Vorsprung dank Wertschätzung» prägt unsere interne und externe Zusammenarbeit. Der menschliche Umgang, Freiraum, Eigenverantwortung sind uns wichtig. Wir bieten dir interessante Karrieremöglichkeiten sowie ein hervorragendes Ausbildungskonzept für deine fachliche und persönliche Weiterentwicklung. Möchtest du die Zukunft mitgestalten? Werde ein NOSER und bewirb dich noch heute online. Hast du noch Fragen, dann wende dich bitte an: bewerbungsfragen@noser.com Filiale Winterthur: Alexander Gassmann, +41 52 234 56 11

Dans le cadre de notre division IT, nous recrutons pour un de nos clients historique un   Ingénieur Data . Vos responsabilités Participer à des projets de recherche de solutions Big Data Configurer/déployer les outils Utiliser des techniques avancées telles que TAL, Machine Learning etc qui seront mises en œuvre sur d’importantes volumétries de données Créer des data set qui permettront d’optimiser la pertinence des analyses de données Agréger des données provenant de sources multiples et variées Le profil recherché Minimum 3 années d’expérience Expérience en développement Python et/ou Java Solide expérience sur au moins 2 des technologies suivantes : Python, Panda, Bash, SQL/noSQL Expérience avec Docker/Kubernetes Connaissance MongoDB ou RabbitMQ serait un plus À l’aise avec la méthode Agile Passionné par votre métier Notre client offre Un poste stable en CDI dans une structure stable Un salaire attractif Une liberté de proposition sur les environnements techniques Qui sommes-nous ? Sigma est spécialisé dans le recrutement et le conseil en management. Nous recrutons sans a priori, sans code, avec le cœur et engagement. À nos yeux, c’est la diversité qui fait notre force. Que vous soyez ouvrier ou haut cadre dirigeant, c’est avec dévotion que nous vous proposons une proximité et une implication sur-mesure. Valorisons ensemble le capital humain !

Dathena is a Swiss and Singaporean company developing data governance software based on machine learning an artificial intelligence. Dathena is the most complete and accurate data governance platform, and is the only solution to easily classify and manage data with this level of accuracy while helping companies to comply with regulations. Using cutting edge machine learning technology Dathena sift through all of unstructured data, allowing to regain full control on company’s information. The velocity and density of information in digital business has significant business benefits due to the insights it creates. However, it exposes new risks on how to protect this data and new privacy challenges to guide its appropriate use. Digital business requires a new view on security and privacy, one that is driven by the level of risk appetite and enablement of business and technology strategy. Role This position is part of the Sales and Operations Team, responsible for providing clients with the guidance and support needed throughout the full lifecycle of our solution’s implementation to ensure the successful and most effective use of Dathena’s products. How you'll be doing this Become a trusted expert in Dathena products to provide effective operational guidance Oversee client service requests acting as a service delivery and escalation manager Act as our clients’ go-to person for troubleshooting technical issues Channel field feedback to Dathena's R&D team Develop best practice recommendations for Dathena teams based on operational experience Key metrics Deployment and Implementation duration Issue resolution speed Client satisfaction What you bring to the team 2+ years of experience in System Administrator, System Engineer, DevOps, or similar Good knowledge of Linux based OS using their command line interface (RHEL, CentOS, Ubuntu, Debian, ...) Prior experience with databases and software stacks (PostgreSQL, Docker, Java applications, ...) Appreciated knowledge in using query languages such as SQL Appreciated knowledge of networking (ip, routes, bonding, lacp, ...) Appreciated knowledge with firewall, routers, and switches (HP, Cisco, Juniper, ...) Soft Skills Fluent in English and French; German is a plus This position is client facing and requires good communication, oral and written Comfortable managing technical conversations with technical and non-technical stakeholders Working conditions As a critical link between the client and Dathena, you must fully embrace the team spirit of a young and innovative start-up

General information: Start date: ASAP Duration: 12 months (extension possible) Workload: 100% Work location: Basel On behalf of our client we are looking for an experienced Clinical Study Data Engineer to ensure the successful implementation of a Clinical Platform application, which streamlines clinical study management in early phase trials. To succeed in this role you will develop a strong understanding of the data flow from collection to analysis and filing to user access. Main tasks: Organisation, data flow, and integration of clinical and medical data of various types, such as binary images, image masks, tabular bioassay and tabular clinical data Leading activities around data flows and interfaces to retrieve clinical image data and image annotations, and establishing data standards with external partners Leading regular data integration efforts with external and internal partners, standardizing interfaces and providing feedback on relevant specifications Data wrangling of heterogeneous, multimodal and longitudinal data to perform QC and discover new insights Developing robust and fit-for-purpose solutions for data management, governance, provisioning, QC, and visualisation using databases, file systems, and cloud platforms Documenting datasets and dataset access services and maintaining dataset specifications Establishing links between existing infrastructure and semantic storage and retrieval capabilities Qualification and Experience: M.Sc in Computer Science, Biology or similar discipline Very good practical IT skills and mastering of standard technologies (Web services, HTTP, UNIX, shell programming) Proven experience with data warehousing, data ingestion, and data profiling Proficiency with relational database queries (SQL), pivoting data, and working with clinical data standards(e.g. SDTM format) Ability to work out and report on data summaries of clinical datasets and dataset samples Proficient in Python and/or R, and git Clinical imaging experience (preferably Ophthalmology, Neurology or similar) Proficiency with standard medical image formats (e.g. DICOM, TIFF, MHD) Proficiency with proprietary formats is a plus Comfortable working with other teams, scientific computing and data architects, to offer robust and fit-for-purpose solutions Communication skills for presenting results and ensuring alignment with stakeholders and business partners. Mastering of business intelligence software (e.g. Spotfire) Strong team player, flexible and with a high degree of self-organization, proactive and able to work in matrix environment Fluent in English

Tasks Closely cooperate in a team with data scientists and traders to develop and operationalize use cases Apply best-practice data engineering to implement big data and advanced analytics usecases in close cooperation with the respective stakeholders across our business lines Responsible for defining the suitable approach for the different use cases and ensure that the use case set-up is scalable to all our business lines Bridge between our trading IT, the data science team and business stakeholders and help that insights translate into business impact that scales Shape, migrate and monitor ETL pipelines in a cloud environment Ensure state-of-the-art implementation and delivery Develop dashboards that enable our traders to efficiently operate and parametrize use cases in their daily job Quality check implementations and deliveries Pro-actively consult on enhancing existing routines and establish a knowledge sharing mindset Support local teams in implementing use-cases Shape the future role of advanced analytics and big data within our company Profile Master's degree in data science, computer science, or similar Minimum of 3 years of experience in setting up data pipelines for operational advanced analytics use cases Proven ability to synthesize complex data and to cooperate closely with data scientists and IT; deep understanding of state-of-the-art data engineering approaches Real-world implementation experience of machine learning applications Strong programming skills in Python and experience with object-oriented/object function scripting languages Experience with relational SQL, possibly NoSQL databases Experienced with cloud services, ideally with MS Azure, DevOps and Kubernetes Experience in energy/commodity trading is an advantage Excellent problem solving and analytical skills Highly collaborative, capable of listening to and learning from colleagues, challenging thoughtfully and prioritizing impact Fluent in English Flexibility and willingness to travel (30%) This is a great opportunity to become part of Axpo's Advanced Analytics team, a recently founded team that will develop, scale and operationalize use cases across the different business lines. As a company active in trading for many years, we have databases full of data ready to be used for Advanced Analytics cases. Our data scientists can't wait to work with you to make even more out of that data. If you are passionate about having real impact by making data science models work in daily operation, we look forward to receiving your application! Benefits Contact Moritz Nauer Senior HR Manager Recruiting Recruiting.trading@axpo.comInformation about the recruitment process

My client is a prominent and highly-regarded international IT consultancy, working with clients across all major industries. They have an urgent vacancy for a Big Data Lead Engineer for their end-user client in Lausanne, a globally-recognised investment bank. This role will run for at least six months and will pay up to 450CHF per day. The following skill set is required: Python ideally, although Java will be considered FinTech experience Big Data tools experience - Kafka, Spark, Pig, Hive, Hadoop etc AWS/Azure experience is essential You will be working on a number of exciting data projects, using cutting-edge technology to solve complex interesting problems. Our client is seeking the best people to join their data & analytics capability and you would get to work alongside amazing talent already working in the business. Valid current permission to work in the EU is required. If you do not have this permission, please do not apply for this role. If you like the sound of the role above, please send me a CV for immediate consideration

Chez Extia, c'est   "D'abord qui, ensuite quoi !" D’abord Qui ? Vous êtes autonome, rigoureux(se) Vous êtes force de proposition dans un contexte d’équipe Agile Les bases de données n’ont aucun secret pour vous Vous êtes avide de nouveaux challenges et impliqué(e) dans votre travail Ensuite quoi ? Accompagner les clients sur leur transformation digitale Développer sur des langages Big Data Réaliser la phase de tests Rédiger des documentations techniques Rechercher & conseiller sur de nouvelles technologies Maitriser les environnements techniques : PySpark, Scala, Hadoop, Impala, Oozie, Hive, Jenkins, Git Vous avez des connaissances en analyse fonctionnelle et technique dans un environnement Big Data Connaître les outils suivants : Kafka, Flume, Linux/Unix, SQL Profil recherché De formation Bac +5 en informatique, vous justifiez d’une première expérience réussie en tant que data engineer. En rejoignant Extia, vous faites le choix d'intégrer une entreprise jeune, dynamique, et très proche de ses salariés, dont l'objectif est d'allier évolution de carrière et épanouissement personnel. Vous recherchez en Suisse. Le mieux, c'est qu'on en discute ensemble… A vos marques, prêt… candidatez ! #LI-MTE09

Amaris is an independent, international Technologies and Management Consulting Group. Created in 2007, Amaris is already established in over 50 countries and supports more than 850 clients worldwide throughout their project's lifecycle. Our expertise covers five areas of innovation: Business and Management, Information Technologies, Engineering and High Technologies, Telecommunications and Biotech and Pharma. With more than 65 offices across the world, the Group offers proximity support to its clients in all their locations and many opportunities of international careers for employees. In 2019, Amaris aims to reach a turnover of 350 million euros, 6500 employees and to develop its workforces with the anticipation of a further 2000 new job openings. We expect to triple our workforce within the next few years and reach a leading international position in independent consulting. Your Role In order to sustain the growth of our activities in Switzerland, Amaris Consulting is hiring a Data Engineer for its Data Science Center of Excellence. 5+ years of relevant experience in Data Engineering. As Data Engineer your main task is to be responsible for the data management of data & analytics platform that means data ingestions, data integration, data processing, data quality management, cleansing and wrangling of data and ensure full integration into IT environments and analytics solutions. Your role: Develop, construct, test and maintain data architectures such as databases, data warehouses and large-scale data processing systems Design and develop data pipelines/systems for data modelling, mining and production Ensure the data architecture is in place to support routine and ad-hoc requirements of data analytics team, stakeholders and the business Leverage on variety of programming languages and data crawling/processing tools to make raw data clean and highly available for use in descriptive and predictive modelling Recommend and implement ways to improve data quality, reliability, flexibility and efficiency Ensure data assets and data catalogs are organized and stored in an efficient way so that information is easy to access and retrieve Your profile: At least, 3+ years of production level experience Python or Scala (Apache Spark) Design and implement Big data solutions in Azure or GCP or AWS Experience with ELT particularly in the Big Data environment Experience on a DataCatalog solution Experience in traditional database systems (SQL Server, Oracle, MySQL or MariaDB) Experience on NO SQL DB like MongoDB, Cassandra and HBASE Strong written and verbal communication skills Knowledge with AGILE project management Experience on ElasticSearch, Logstash and Kibana Experience on Kafka or Flume

Seervision aims to be the best in adaptive motion control technology. With this technology, multi-camera robot setups collaborate and can perform all tasks of traditional camera work autonomously, whereby the result of the software-controlled camera can no longer be distinguished from that controlled by a human being. Seervision develops state-of-the-art video analysis algorithms for real-time object recognition. In order to grow, Seervision is in need for a PhD-level interdisciplinary scientist with experience in field of skeletal model predictions and real-time computer vision in broadcast quality camera feeds. Ideally also experienced in neural network training for human detection and movement. With this algorithm, Seervision’s movement estimators will be able to incorporate future skeletal positions to design and optimize future robotic camera trajectories, and using limited data on human movement. Company: Founded in 2016, Seervision is a multiple award winning spin-off from the Automatic Control Laboratory of ETH Zürich, developed out of research in the field of camera control. All in all, we have carried out more than 20 R&D projects in the field of camera control, as part of more than 5 years of cooperation on various projects and development work for several industrial partners. Computer Vision and Object Motion Engineer will be: 1) Formulating functional requirements for the skeletal prediction model. 2) Creating a skeletal movement prediction model based on 2D camera frames that must predict the future 3D motion in various cases for at least 2 second in the future. Current objective is to base the predictions on filtered 2D frames captured by the on-set cameras and, in a later stage, achieve semantic action recognition within the same software module. 3) Carrying out comprehensive performance tests of the developed algorithm within hardware. 4) Developing the software module that should be able to predict multiple directions and anticipate on changes in direction. 5) Integrating the prediction software module into the Seervision camera robotics systems. Education: a PhD-level interdisciplinary scientist in computer science and engineering, mathematics or data science in engineering. Required skills: To have working experience with GPU programming and deployment of neural networks // Understanding knowledge in the field of adaptive motion control technology // Experience and knowledge of developing algorithms and visualisation // Analysing large-scale datasets and excellent programming skills (Python, MATLAB) // Have experience with the development of neural networks and/or skeletal modelling // Excellent communication skills and enthusiastic, outgoing personality. Desired skills: Ability to set up evaluation pipelines and data collection for machine learning // Broadly interested and ability to quickly get familiarized with new topics // Ability to work on the same code based with more than 2 direct co-workers an the ability to work in multi-disciplinary teams. Work environment: Seervision is committed to create a diverse work environment and applicants are considered without regard to ethnicity, religion, gender, sexual orientation or age. Eligibility criteria: The availability of this position is dependent on the award of the H2020 SME Innovation Associate Grant. The Mobility Rule is applicable to this grant, meaning that at the time of recruitment, the applicant must have not resided or carried out his/her main activity (work. Studies, etc.) for more than a total of 12 months over the last three years in Switzerland. Are you motivated, innovate an committed to delivering first-rate performance? If you are interested, please contact Damian Frick (jobs@seervision.com). Additional Information Eligibility criteria The availability of this position is dependent on the award of the H2020 SME Innovation Associate Grant. The Mobility Rule is applicable to this grant, meaning that at the time of recruitment, the applicant must have not resided or carried out his/her main activity (work. Studies, etc.) for more than a total of 12 months over the last three years in Switzerland. Are you motivated, innovate an committed to delivering first-rate performance? If you are interested, please contact Damian Frick (jobs@seervision.com). Requirements Offer Requirements REQUIRED EDUCATION LEVELComputer science: PhD or equivalentEngineering: Master Degree or equivalent REQUIRED LANGUAGESENGLISH: Excellent Skills/Qualifications Desired skills: Ability to set up evaluation pipelines and data collection for machine learning // Broadly interested and ability to quickly get familiarized with new topics // Ability to work on the same code based with more than 2 direct co-workers an the ability to work in multi-disciplinary teams. Specific Requirements Required skills: To have working experience with GPU programming and deployment of neural networks // Understanding knowledge in the field of adaptive motion control technology // Experience and knowledge of developing algorithms and visualisation // Analysing large-scale datasets and excellent programming skills (Python, MATLAB) // Have experience with the development of neural networks and/or skeletal modelling // Excellent communication skills and enthusiastic, outgoing personality.

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!

At Jabil,   we empower the brands who empower the world   – it’s our reason for being and the guiding force that’s driving us to become the   most technologically advanced manufacturing solutions provider on the planet.   Whether we’re serving one of the world’s biggest and best known brands or the coolest tech startups, our resolve never wavers. We share common desires with these brands: to make the world a better, safer and cleaner place. Responsible for establishing and improving Quality Assurance practices and procedures. Responsible for design and evaluation of Quality Systems sampling plans and inspection methods. Responsible for reviewing and recommending solutions to quality problems. ESSENTIAL DUTIES AND RESPONSIBILITIES Know & follow EES policies and procedures and assure that direct reports know & follow EES policies & procedures related to work activities performed in area of responsibility. Evaluate and/or design sampling plans and process control plans for lot acceptance and control processes. Study the effectiveness of inspection activities. Design means for measuring accuracy and documenting of inspection work. Evaluate and recommend inspection gauges and test equipment. Investigate causes of sporadic defects. Provide consultation services to Quality Systems and Manufacturing departments. Hire, supervise and train QS technicians, as applicable. Implement process control systems. Provide technical support for component, product and process validations. Provide technical support for new product transfer. Coordinate training of manufacturing associates as applicable. Establish and maintain appropriate documentation as required for Quality Systems activities. Other responsibilities may be assigned and not all responsibilities listed may be assigned. Investigate identified quality problems. Develop systems for new processes as required. Coordinate Customer Complaint investigations on items returned to the Albuquerque facility for analysis. Support CAPA investigations and tasks, to determine root cause and corrective actions needed. Maintain trend information on field failures. Support manufacturing in analyzing manufacturing product lines to determine how or where, within the manufacturing or inspection process, the root cause of non-conformances or customer complaints exist. Execute Statistical Analysis that include: ANOVA, DOE, Weibull, GR&R, Capability, FMEA, KTA and SPC as required. Perform, enhance and validations: for manufacturing processes, gauges, equipment, software and computerized systems as required. Prepare written protocols as necessary. Provide leadership and initiative to QS organization through continuous improvement projects. Interface with manufacturing area and other support groups to ensure department objectives are met. Follow all company safety policies and other safety precautions within the work area. Promote safety to all associates that enter the work area. Attend required safety training. Ensure that direct reports employ safe practices. Environmental – Participate in EMS management structure toward implementation and maintenance of EMS including continual improvement; pollution prevention; objectives and targets; and regulatory compliance. Participate and support the ISO 14001 Certification and Regulatory Audit process. Implement and follow all applicable EMS procedures. Adhere to the site’s EHS Code of Conduct. MANAGEMENT & SUPERVISORY RESPONSIBILITIES Job is directly responsible for managing other employees (e.g., hiring/termination and/or pay decisions, performance management). Report to Quality Operations Business Unit Manager. JOB QUALIFICATIONS KNOWLEDGE REQUIREMENTS Excellent written and oral skills and the ability to organize and follow up on multiple priorities. Able to make solid decisions that will effectively support the business and company policies. Able to work in a self-paced environment and provide leadership to team as appropriate. Team player. Project Management. Able to understand application of regulatory requirements to the business. Able to analyze and develop quality methods. Responsible for writing clear and concise protocols, study reports, and procedures. This position requires consistent involvement with and knowledge of changes in regulations and standards. Aptitude to respond to shifting priorities through appropriate realignment of required tasks. Personal computers Proficiency required. Skilled in use of PC based systems including, but not limited to: word processing, inventory management, quality system, non-conforming product systems and data base management. EDUCATION & EXPERIENCE REQUIREMENTS Bachelor’s Degree in Engineering or applied science. Minimum of three years’ experience in quality control in the medical product industry preferred Jabil, including its subsidiaries, is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identify, age, disability, genetic information, veteran status, or any other characteristic protected by law

Maintenance Technician (m/w) Equinix, Inc. (Nasdaq: EQIX) operates International Business Exchange (IBX) data centers offering businesses a place to reliably run their operations and securely exchange critical information in North America, Europe and Asia-Pacific. Every day, without compromise, the people who control the world's most valued information assets place their trust in us, leveraging our insight, expertise and world-class service to protect and connect what matters to them most-their information. Why Equinix As a recognized global leader in its industry, Equinix employs dedicated, driven experts who take pride in their work. When you choose to work for Equinix, you’re not just picking a job; you’re embarking on a career. You’re not just working at a company; you’re joining a vital, global team. Equinix Switzerland is hiring a Maintenance Technician (m/f) for our Data Centers in Zurich: In this role you will perform preventive and reactive maintenance related to the infrastructure, manage sub-contractors and form an active part of a successful team. Responsibilities Under the direction of the M&E Supervisor, perform preventive and reactive maintenance related to the infrastructure. Utilize the maintenance management system to ensure accuracy of data at all time. Monitor alarm systems and react to any alarms raised. Perform small repairs. Manage sub-contractors and ensure they follow rules edicted by Equinix. Perform and follow up visual checks. On-Call service will be required (1 week/month). Understand, apply and enforce health and safety rules. Requirements Diploma in Electrical and/or Mechanical Engineering Experience with critical infrastructure M.V. switching experience and manual ability Be able to perform small repairs (Electrical, mechanical and plumbing) Able to read electrical/mechanical drawings Friendly with computing/electronics tools to monitor the site (BMS, displays, etc...) Friendly with Office Pack (Word, Excel, etc...) Fluent in German and English (written/spoken) Being able to communicate in an efficient way, even during stressful situations, to provide clear written reports and establish clear processes Flexible Driving license

Was ist Ihr nächster Meilenstein? Abschlussarbeit im Bereich Data Engineering* Weil Gesundheit entscheidend ist.   Wir entwickeln Lösungen, um sicherzustellen, dass Medikamente für Menschen auf der ganzen Welt sicher und einfach zu nutzen sind. Mehr als 600 Produktionslinien in 13 Ländern weltweit stellen mehr als 10 Milliarden Spritzen, Fläschchen, Ampullen, Karpulen und Spezialartikel aus Röhrenglas oder Kunststoff her. Wir denken vorrangig an Kunden, Nutzer und Patienten. Wir denken an Menschen! Wir sind die   Business Unit Pharmaceutical Systems . Sie möchten Teil des innovativsten Vorreiters von pharmazeutischen Verpackungen sein? Sie möchten Teil eines aufgeschlossenen, flexiblen und inspirierenden Teams sein? Sie möchten Ihr Potential zum nächsten Level entwickeln? Für unseren Standort in St. Gallen suchen wir   ab März 2020   eine/n Bachelor- oder Masterstudent/in   für eine Abschlussarbeit im Bereich Data Engineering. Ihre Aufgaben Analyse des bestehenden Datenerfassungs- und Entwicklungsprozesses Entwicklung und ggf. Umsetzung von Massnahmen zu Verbesserungen Dokumentation der gewonnenen Erkenntnisse Organisation und Aufbereitung von Trainingsdaten zur Entwicklung von Klassifikatoren Zusammenarbeit und Wissensaustausch mit Softwareentwicklern Ihr Profil Laufendes Studium im Bereich Informatik, Software Engineering oder Data Science Hohes Mass an Selbstständigkeit und Verantwortungsbewusstsein Offene Persönlichkeit mit guten Kommunikationsfähigkeiten Organisierte, strukturierte und lösungsorientierte Arbeitsweise Tut sich leicht, ein Gesamtsystem zu überblicken und die Zusammenhänge der Einzelteile zu verstehen Grundlegendes Verständnis der Datenverarbeitung Kenntnisse, wie lernende Algorithmen trainiert werden, sind von Vorteil Ihr Benefit Es erwartet Sie sowohl interessante und herausfordernde Aufgaben in Feldern, die unsere Zukunft beeinflussen, als auch ein motiviertes und kollegiales Team. Wollen Sie mit uns erfolgreich sein? Dann senden Sie uns Ihre Bewerbung zu: SCHOTT Schweiz AG, St. Gallen Human Resources, Alexandra Wirth, +41712747483 Die Persönlichkeit zählt – nicht das Geschlecht

We are looking to fill this position   urgently   and this position is   only open to Swiss and EU citizens . Our requirement is for a Big Data Engineer with a proven track record and passion in data systems engineering, strong software development skills, possesses good communication skills, has the ability to work independently and bring in technical creativity. This description covers the essential functions of the position though an individual can add more flavor to the role and explore their entrepreneurial side by performing other similar and related duties. Responsibilities: Responsible for delivering projects in the Big Data (Engineer and Analytics) field A key position as Big Data Engineer within the Analytics IT team of the Swiss Universal Bank, where you are designing and building an analytics platform using state of the art Big Data technologies and provide services to enable the bank Data Scientists to build advanced analytics models You are taking an active part of our transformation into a more data and analytical insights driven bank Within the highly motivated team, you collaborate closely with business teams to understand data and functional requirements You design and build data pipelines to ingest, integrate, standardize, clean and publish data You are responsible for defining and crafting integration patterns with downstream applications You provide input into overall IT architecture of the solution, including technical environment configuration, data modelling, data integration, data presentation, information security and other IT architecture related topics You support Data Scientist in their day-to-day work on a variety of topics, including tools and data analysis methods You operationalize analytical models developed by the Data Scientists to embed them into the bank’s business processes Qualifications: A university degree or equivalent education in IT or another technical specialization, ideally with focus on Data Management You have proven work experience of at least two years as a Data Engineer using Big Data technologies Experience with Hadoop based analytical solutions, ideally on Cloudera distribution, as well as practical skills in creating data processing pipelines using Spark, Scala, Python or similar tools Good knowledge of SQL, Hive and Impala databases Ideally experience with Jupyter Notebook, Hue, other end user tools If you already had experience with Tableau, Splunk or an agile work environment you have an advantage You are able to work in a dynamic environment, be comfortable with changing priorities and tight deadlines, manage you own workload with minimum supervision You build strong collaborative relationships with colleagues in IT and business groups Excellent verbal and written communication skills in English, German skills are of advantage

OBJECTIVE AND MAIN TASK OF THE FUNCTION Support site production, operations, and quality teams Serve as the quality representative during any product or process investigation and during external and internal audits Prepare and execute validations, technical studies, test method validations and other studies / reports Initiate and lead project teams on Corrective Action/Preventive Action (CAPA) projects Assist Complaint Handling Department with technical / engineering support regarding customer complaints and product returns TASKS Support site production, operations, and quality teams by addressing emergent issues that might arise due to the operation processes. Serve as the quality representative during any product or process investigation. Lead investigations including root cause analysis and health risk assessment of the identified product or process nonconformities. Prepare and execute validations, technical studies, test method validations and other studies / reports as required. This includes preparation of protocols, establishment of test methodology and acceptance criteria, training personnel, execution, data analysis, investigation, and writing final reports. Initiate and lead project teams on non-conformance investigations regarding component failures, finished goods failures, and product returns. This includes but is not limited to performing risk analysis, determining root cause and recommending corrective action. Conduct internal audits and supplier audits (as a backup). This includes preparation of audit plans, audit reports, and verifying corrective actions have been completed and are effective. Initiate and lead project teams on Corrective Action/Preventive Action (CAPA) projects. This includes, but is not limited to, performing risk analysis, root cause analysis; developing a corrective action plan, implementing the plan, and submitting a summary report for project closure and conduct effectively checks (EC). Assist Complaint Handling Department with technical/engineering support regarding customer complaints and product returns. Investigation may involve reviewing manufacturing batch records, vendor component records, non-conformity records, etc. to determine root cause of product failure. Interface with external auditors (Notified Body) during audits at the Nidau site; participate in the preparation and completion of corrective action plans as needed. Other duties as assigned. REQUIREMENTS AND SKILLS Education Bachelor degree in quality, mechanical or industrial engineeringSpecial Knowledge Excellent understanding of quality system regulations applicable to the manufacture and global distribution of medical devices or drugs.Solid understanding of investigation techniques including design of experiments and root cause analysis.Understanding and application of Quality System Auditing and AnalysisSolid grasp of basic statistical techniques with basic understanding of advanced techniques in data analysis.Good English skills, both written and spokenFrench and/or German, both written and spokenExcellent project management, organization, writing skills required.Demonstrated expert knowledge of Windows-based software, including Word, Excel, Access, Project, and Power Point.Personality Ability to influence and build consensus across cross-functional groups.Must be highly proficient in written and verbal communication.Professional Experience Minimum two years experience or advanced degree with one year of experience in quality engineering in the medical device or pharmaceutical industries, including the practical application of FDA Quality System Regulation and ISO 13485 or equivalent. General knowledge of manufacturing processes such as assembly, packaging, and sterilization required; experience in the vision care or intraocular lens industry preferred. RESPONSIBILITY Responsible for N/A Authority/Competence N/A Signature responsibility N/A SPECIAL INFORMATION N/A

Every day we work hard to make small businesses more successful. Sounds ambitious? It is – but trust us, it is possible. We provide the ideal software to deal more efficiently with the daily business. Be it managing customers and contacts, writing offers and bills, supervising stocks and items or recording time and services. And of course, accounting. All of this from anywhere and at any time. That is why bexio is the leading provider of web-based business software for small businesses. As of now, we have left the Early-Stage-Phase and are on expansion course. Join our team of young and motivated people! The centerpiece of bexio is the team. We are interested in people – we are not only a workgroup but a community. Our flat hierarchies enable fast and short decision paths. Your opinion counts, your ideas are listened to and implemented: we want you to be proactive and become part of our vision - to make small businesses more successful. We are looking for an experienced What you will do: Define, build and maintain sustainable data warehouse for bexio. Construct and build ETL processes and workflows. Gather requests for data engineering and data science related topics. Collaborate effectively with other teams and stakeholders to operate data infrastructure. Assure the quality, accuracy and security of outputs prior to sign-off and distribution. Own meaningful parts of our service, implement a data science mind-set, have an impact and grow with the company. Who you are: A degree in Computer Science or other technical/science/math field. Minimum 3 years of work experience in designing/building/maintaining continuous delivery pipelines across environments. Advanced data preparation and munging skills with ability to transform data into suitable formats and outputs. Knowledge and experience working with Databases, BI tools and visualization tools (e.g. SQL, R, Python, QlikView, Power BI, Tableau etc.) Knowledge of working with large data sets performing statistical analysis, data visualization, data mining, and data cleansing/transformation/processing. Good communication skills offering ability to explain complex techniques to non-technical audience Ability to establish strong working relationships with other dependent functions and departments with competing priorities English level (min C1) and German or French prefered Our benefits: Open and honest working atmosphere. Much freedom for personal development. Work smart - choose the ideal environment for your tasks. No matter if you are a night owl or an early bird - we offer flexible working hours. Flat hierarchies enabling fast and short decision paths. Expect many employee events, team lunches and friday chillouts. Modern infrastructure and high-end equipment. What else you can expect from us: Our team of over 100 employees works hard every day to achieve our vision of making small businesses more successful. When you join our team you become part of our culture, which is grounded in a strong commitment to our core values, our talented people and an unwavering focus on our customers. We encourage our people to share ideas, make suggestions and provide feedback. This is a permanent full-time position based in our office in beautiful Rapperswil SG, Switzerland. Sounds good? Apply now and we will contact you shortly.

Company Description Jetcost is a metasearch website that enables users to search for and compare flights, hotels and rental cars from a range of suppliers. Jetcost websites operate in 38 countries across Europe, Asia and America. Jetcost is part of lm group, publicly traded multinational Group, among the worldwide leaders in the online travel industry. Every month, the Group reaches across all its websites and mobile apps (in 17 languages and 40 countries) 60 million unique users that search for and book their travel and leisure experiences. More than 1,200 people enjoy working with us and contribute to provide our audience with a comprehensive and inspiring offering of travel related products and services Job Description We are looking for brilliant people to join and help us expand our Metasearch technology team based in Chiasso. If you are passionate about data engineering and analytics and think you have the skills to lead a team - then you have come to the right place! We have a great opportunity for the right candidate who is looking to step up and advance to the next level in their career, this opening offers the chance to lead a brilliant team, managing and evolving complex data-oriented solutions working cutting edge technologies. You will cooperate with multiple international teams across our organisation, designing and deploying solutions that will empower our people to unlock new opportunities across the ecosystem. Key Responsibilities Ability to drive team-wide consensus toward adoption of new solutions, design and direction Partner with the Marketing, Sales, Product and Technology organizations to get feedback and iterate upon the Data Ecosystem development Collaborate with engineering team to ensure alignment of data collection, analysis and reporting Propose, lead and participate in data driven projects Create solutions to enable diagnostic and predictive analytics capabilities Maintain accuracy of data with high level of detail, implementing corrective action as required Support data mapping and report generation Monitor and Analyze data; identify opportunities for process improvement, including automated solutions Support effort for data visualization and dashboards Be curious about trends and emerging technologies in the Data space and share what you learn with your teammates Qualifications Essential Bachelor's degree in Computer Science, Engineering, Information Technology, Mathematics, Physics or other relevant technical degree Strong statistical background Proficient with SQL and column-oriented DBMS such as Yandex ClickHouse Self starter with the ability to deal with ambiguity and work independently Fluency in English Desiderable Strong database management, software and systems knowledge Knowledge of Machine learning, Probabilistic and Statistical Learning Methods What we offer Working in an international, friendly environment Continuous learning program with internal didactic unit Possibility to join conferences around Europe for continuous improvement Flexible working hours Remote working policy available Hiring Process Candidates for this position can generally expect a hiring process similar to the following one : Qualified candidates receive feedback concerning their application from our Recruiting team Candidates will be asked to attend a technical interview with one of the senior managers - usually a talk about about technical topics, experiences and analyzing possible production scenarios The candidate will be asked to complete an exercise / small project at home or at our HQ office in Chiasso, depending on the outcome of the first steps

For one of our client based in Geneva, we are looking for a Data Engineer (Python) You will make a difference by: Driving our Data strategy Achieving Data integrity, security & accessibility targets Transforming our data processes Advising 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 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 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 Technical: 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 Interested by this challenge ? Feel free to apply

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 – 135 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