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4 data governance jobs found in Basel

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Full time  (4)
Kanton Basel-Stadt
14/04/2026
Full time
Internship as a Data Engineer & Open Data Enthusiast
Kanton Basel-Stadt Basel City, Switzerland
60%–100% Presidential Department, Statistical Office Available immediately or by arrangement, for a fixed term of 6 months, with the option to extend up to a maximum of 12 months. Your tasks Publicly publish data and metadata:   You help us analyze government data, model it in the new cantonal data catalog, and automate its publication on I14Y.admin.ch and data.bs.ch. Working with people and data:   You use your communication skills to understand the requirements and wishes of our diverse stakeholders; you outline solutions and help to model them in the data catalog as a team, and code pipelines with AI in Python. Analyze, understand, model, publish:   Your flair for data analysis is in demand to understand data and represent it in models. You maintain an overview of the relationships, customer needs, and public expectations. Your profile Experience:   You are interested in data modeling and analysis with AI support,...
Sobi
19/03/2026
Full time
Data Manager Global Manufacturing & Supply
Sobi Basel, BS, Switzerland
Statistics show that women and underrepresented groups tend to apply to jobs only if they meet 100% of the qualifications. Sobi encourages you to change that statistic and apply. Rarely do candidates meet 100% of the qualifications. We look forward to your application! At Sobi, the work we do every day redefines the standards of care and transform the lives of people living with rare diseases. As a diverse team of entrepreneurial people, we are passionate about our growth journey towards becoming a global leader, making a difference for rare disease patients, moving quickly and always challenging the status quo. We are committed to an inclusive, sustainable and flexible workplace that fosters growth and development. Job Description As a Data Manager within Global Manufacturing and Supply (GMS) you will be the key person to build and manage the processes, governance and system landscape for our data. In other words, you shape the vision of our future data management...
QAI Ventures AG
02/04/2026
Full time
Venture CTO - QuantumAI Venture Building (Science & Ecosystem)
QAI Ventures AG 4144 Arlesheim, BL, Switzerland
Role Overview: As Venture CTO at QAI Ventures, you will be a core member of the venture-building team, responsible for driving the technical and scientific development, implementation, and scaling of Quantum AI ventures, while actively contributing to the growth of the broader ecosystem. You are responsible for end-to-end technical feasibility, from scientific validation and IP considerations to product and architecture implementation, translating this into clear venture decisions such as Go or No-Go, Build vs Buy, and architecture choices. Your focus lies on the scientific and technological execution of deliverables across Discovery, Validate, MVP, and Accelerate phases. You work closely with founders and venture teams to ensure strong technological substance, validation, differentiation, and that ventures are feasible, scalable, and investor-ready. You analyse technological dependencies, feasibility, and long-term differentiation, supporting the translation of scientific...
Hapimag AG
20/03/2026
Full time
Software Engineer Data Science
Hapimag AG Aarau, AG, Switzerland
Data Science Software Engineer Data Science Become part of our team at the "Software Engineering & IT" business center in Aarau. We develop sophisticated software, machine learning, and AI solutions for highly specialized applications, creating direct added value for our customers from their data. Lead our projects to success: From exploratory data analysis and feasibility assessment to model development, application development, and implementation. Area of ​​activity Your main tasks and responsibilities Data Engineering & Data Pipelines:   Connecting and integrating diverse data sources (e.g., SQL/NoSQL, APIs, files, IoT). Developing robust data pipelines for data extraction, cleansing, transformation, and validation. Implementing feature engineering and ensuring high data quality and traceability. Machine Learning & Modeling:   Design, training, evaluation, and optimization of machine learning models using...

 

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