8 Data Management jobs

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

Die Universität St.Gallen ist eine der forschungsstärksten Universitäten der Schweiz. Zusammen mit namhaften Partnern in Wissenschaft und Praxis forschen wir im Research Lab an Fragestellungen zum Management von Artificial Intelligence. Wir bieten Doktoranden die Möglichkeit exzellente Forschung in enger Zusammenarbeit mit renommierten Branchenführern in ausgewählten, relevanten Themenbereichen durchzuführen und sich innerhalb unseres exzellenten Netzwerks einzubringen. Was wir bieten Eigenständige Durchführung von Forschungs- und Praxisprojekten im Bereich Management von Artificial Intelligence in Zusammenarbeit mit führenden Unternehmen Verfassen wissenschaftlicher Publikationen in hochrangigen Journals Exzellente Rahmenbedingungen für eine hochwertige Dissertation Betreuung durch anerkannte und erfahrene Professoren Mitarbeitet in einem motivierten Team aus Doktoranden, Studierenden und Unternehmen Zugang zu einem internationalen Forschungsnetzwerk Seminare zu unterschiedlichen Forschungsmethoden in Wirtschaftsinformatik/Informatik Ausgezeichnete räumliche und technologische Infrastruktur im Lab (u.a. NVIDIA DGX-2) Berufliche und akademische Entwicklung und Profilierung als Experte für das Thema AI Attraktive Vergütung gemäss den Richtlinien der HSG Unsere Erwartungen Erste Erfahrung im Bereich Artificial Intelligence von Vorteil Erste Berufserfahrung im (Technologie-)Consulting oder Industrieunternehmen von Vorteil Sehr guter Masterabschluss in Wirtschaftswissenschaften, Wirtschaftsinformatik, Informatik, Mathematik oder vergleichbarer Fachrichtung (min. 5.0 (CH) bzw. 2.0 (DE)) (kein FH, MBA, MAS) Eigeninitiative, strukturierte Arbeitsweise sowie Teamfähigkeit Kenntnisse quantitativer und qualitativer Forschungsmethoden

The Personalised Medicine research group of the sitem Center for Translational Medicine and Biomedical Entrepreneurship at the University of Bern is offering a PhD position in the research and development of artificial intelligence (AI) algorithms for anatomy modelling and anatomical analysis. The PhD candidate will work within our multinational team and in close collaboration with our industrial, research and clinical partners, towards a cutting-edge software system for the diagnosis, surgical planning and outcome prediction of shoulder pathologies. They will build on deep learning-based algorithms to investigate clinically applicable segmentation solutions for the purpose of tissue composition and morphological analyses, patient specific biomechanical surgical outcome simulations and radiomics-based analysis of treatment outcome success. The student will work within a highly motivated team of experts at the sitem Center and interface with imaging physicists, surgeons and neurologists from the University Hospital of Bern, biomechanical engineers from ETH Zurich and industrial partners. TasksAs a PhD candidate, you will conduct applied research in the field of image based surgical planning. The candidate will investigate methods based on AI for the delineation of anatomical structures from MRI and CT images, investigate AI methodologies for image domain adaption as well as investigate radiomics approaches to surgical outcome prediction. The PhD candidate will also be responsible for developing clinically applicable solutions from research outcomes to enable clinical validation of the solutions. Specific tasks of the PhD candidate will include: Investigate and develop automatic anatomy segmentation algorithms for musculoskeletal structures from MRI and CT image data Investigate and develop automated methods for calculating diagnostic parameters from MRI and CT image data Investigate and develop methods for surgical outcome prediction based on radiomics Develop a fully integrated clinical applicable software system for diagnosis, surgical planning and outcome prediction Work with biomechanical engineers to develop and integrate surgical planning optimisation methods Clinically validate developed algorithms and systems RequirementsWe are looking for a dynamic, ambitious and self-motivated candidate with a Master of Science in Biomedical Engineering, Software Engineering, Computer Science or similar. Candidates with a strong background in software development and image processing are particularly encouraged to apply. The candidate must be fluent in written and spoken English. The following attributes will be highly valued: Knowledge in AI technology (TensorFlow, PyTorch, etc.) Programming experience in Python and C++ Experience working with clinical partners or in multidisciplinary teams An understanding of basic biomedical principles Problem solving, reasoning, organisation, planning and analytical skills We offer A unique doctoral position in a highly interdisciplinary team A meaningful applied project at the forefront of surgical technology The opportunity to present results in scientific journals and at international conferences Entrepreneurship opportunities and the possibility to follow entrepreneurial studies at the sitem-insel School if desired The opportunity to collaborate with the medical technology industry, applied researchers and physicians A well-defined accompanying PhD curriculum, managed by the local graduate school (www.gcb.unibe.ch) State-of-the art facilities in the brand new sitem-insel building with close proximity to clinical partners at the University Hospital of Bern A pleasant working environment in a city that is ideally located in the middle of Switzerland and Europe, offering rich cultural and outdoor activities and a high quality of life A fully funded position for 3 years (salary according to the Swiss National Science Foundation, www.snf.ch) How to applyPlease send an application letter and CV addressed to Dr. Kate Gerber (kate.gerber@sitem.unibe.ch). Applications may be considered until the position is filled. The University of Bern is an equal opportunity employer. Qualified female candidates are especially encouraged to apply.

Join ABB and work in a team that is dedicated to creating a future where innovative digital technologies allow greater access to cleaner energy. At ABB Future Labs we create radical innovation for our next generation solutions to industrial challenges within our fields of business. We strive to disrupt current approaches by openly exploring and combining new technologies. We create the concepts that can radically change ABB’s approach to perform business and move along the forefront of technology. If creating but also embracing trends is among your strengths, we offer a highly flexible and modern work environment based on empowerment, responsibility and trust, to allow you to make a difference - for you and for the future of ABB. Additional information We offer a challenging and exciting job in an international, multidisciplinary research environment. As a member of a company with global operations, your personal development will benefit from oppor¬tuni-ties offered by a large company including training of personal skills, early project or technology responsibilities, worldwide professional contacts, and international assignments with limited duration inside the ABB Group. Your responsibilities We are looking for a highly qualified researcher in the field of autonomous systems. You will work on the fascinating boundary of innovation, research, development, and business relevant applications. Your technical and cross-cultural communication skills will be required to establish links in an ecosystem consisting of internal research, academia, startup companies, and ABB’s global business lines. Research and develop new methods and applications to realize autonomous systems in industry, infrastructure, and transportation Rapidly put together representative proof-of-concept simulations and the algorithms and solutions of necessary complexity for systems of interest. Work efficiently with existing simulation environments including those for real time purposes and for hardware-in-the-loop testing Bring in the capabilities offered by novel machine learning and artificial intelligence technologies to address challenges encountered in constructing autonomous systems including those related to perception, situational awareness, and decision making Develop methods and algorithms in an efficient way into prototypes and work together in teams for testing and validation of algorithms in target platforms including those in an embedded setting Your background MS or PhD in engineering, computer science, mathematics or physics combined with expertise in control theory, optimization, mathematical modeling, or machine learning Experience in prototyping and testing control algorithms and proficiency in at least one programming language Ability to effectively contribute to multi-disciplinary research, development, and software project teams Proven scientific track record including outstanding academic results Experience with applications of control systems technology or machine learning in an industrial setting is advantageous In order to thrive in this role, you will need to display a fluent command of English (both written and spoken); Willingness to learn German a plus. More about us Bring your very own sense of pride and purpose as you help us drive forward the Fourth Industrial Revolution – creating a sustainable future for our planet, and your career. Join ABB and harness the power of our diverse global network, as you collaborate with and learn from our world-class teams. Above all, challenge yourself every day. Let’s write the future, together. Interested in joining our team? If so, we look forward to receiving your full application (motivation letter, CV, references) only via our online careers tool. A better world begins with you at www.abb.com/careers ABB Switzerland Ltd. Hanspeter Müller Talent Partner Phone: +41 792948257 www.facebook.com/ABBCareer www.xing.com/companies/abbschweizag www.linkedin.com/company/abb www.instagram.com/abbcareer

Data Management and General IT Support Specialist 80%-100%, Zurich, temporary In the “Bedretto Underground Laboratory for Geoenergies” at ETH Zurich (www.bedrettolab.ethz.ch), a team of ambitious and fast-moving scientists studies, in close collaboration with national and international partners, techniques and procedures for a safe, efficient, and sustainable use of geothermal heat. This includes extensive and novel in-situ measurement programs on the impact of drilling, fluid injections, and temperature changes in natural rock. To support the scientists of the Rock-Lab team, we are looking for a   Data Management and General IT Support Specialist . Job description In this position, you will design and implement the real-time transfer of petabytes of measurement data from the lab’s tunnel site in Val Bedretto to ETH Zurich, conduct data quality and completeness monitoring, format conversions, data versioning as well as archiving. You will keep the records of the instrumentation metadata (response) and configuration, as well as support the Bedretto team in questions of workplace computing and networking. In these tasks, you will tightly cooperate with the team of scientists, but you will also be backed up and supported by the IT team of the Swiss Seismological Service, which is engaged in similar tasks on a national rather than a lab scale. Your profile For this responsible and diverse position we are looking for a motivated, service-oriented IT generalist – e.g. with a professional education in ICT (general profile or system technology), a degree in IT or natural science, or comparable education and experience. You have good knowledge of at least two operating systems (including Linux), at least two programming languages (including python), proven experience in managing measurement data (best including signal processing), and networking. The position requires excellent interpersonal skills, a high level of responsibility and a strong willingness to grow on the job. The position is offered on a one year contract with the possibility for an extension of up to 5 years. The SED offers an attractive working environment downtown Zurich (with regular travels to Bedretto), good opportunities for personal and professional development, and a competitive salary according to ETH standards. The working languages are English and German. ETH Zurich ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.Working, teaching and research at ETH ZurichGet connected Interested? We look forward to receiving your your complete dossier including motivation, CV, and references, in German or English. Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered. Further information about the Bedretto Underground Lab can be found on our website www.bedrettolab.ethz.ch. For questions regarding the position, contact Philipp Kästli (SED IT coordinator): +41 44 633 3422 or kaestli@sed.ethz.ch (no applications).

Location: Geneva Industry: Bank Contract: Permanent with AKKA Start date: ASAP On behalf of our prestigious client based in Geneva in the bank industry we are actively looking for a Data Management Officer. You will be responsible for: Identifying areas to increase efficiency and automation of business processes Identifying, evaluating and implementing services and tools to support data validation and cleansing Defining with internal stakeholder’s key performance indicators Developing and support reporting processes Creating and populating data dashboards, graphs and visualizations Mining and analyzing large datasets, drawing valid inferences and presenting them successfully to management Working with the leads in all service areas to develop and deliver beneficial management information Liaising with data owners to revise and improve data collection & processes Your profile: Experience with SQL queries and event-driven programming and Relevant experience in collating and analyzing management information Knowledge of Data warehouse data modelling, enrichment and cleansing techniques Experience of working with stakeholders across all levels of an organization Strong analytical skills Initiative and commitment, self-motivation and autonomy Able to work in a constant demanding and challenging environment Fluent in French and excellent command of English. Pour plus d’informations n’hésitez pas à me contacter ! Jeremy.rocco@akka.eu (+41 78 819 46 26). For more information, please contact me at Jeremy.rocco@akka.eu (+41 78 819 46 26) !

Das Bundesamt für Energie BFE sucht Fachspezialistin/Fachspezialist Digital Innovation Office 80 - 100% / Ittigen Mit Expertise in die Zukunft. Übernehmen Sie Verantwortung bei der Weiterentwicklung des Digital Innovation Office im Amt und leisten Sie einen wesentlichen Beitrag zur digitalen Zukunft der Energieversorgung. Ihre Aufgaben Identifizieren und Beobachten von nationalen und internationalen Technologien, Trends und Themen der Digitalisierung (Screening) Erstellen von Analysen und Erarbeiten von Handlungsempfehlungen im freiwilligen und regulatorischen Bereich mit Schwerpunkt Datennutzung im Energiesektor (Zugang, Nutzung, etc.) Initiieren und Betreuen von Projekten im Bereich Datennutzung sowie datenbasierten Applikationen und Massnahmen zur Unterstützung der Dekarbonisierung und Energieeffizienz Betreuen und Leiten von Initiativen im Bereich digitaler Innovation, wie Hackathons, etc., deren Koordination und Ergebnisverwertung Sicherstellen der Schnittstellen zum Programm EnergieSchweiz. Unterstützen der Open Government Data Strategie und des Datenmanagements im BFE