Niels Bohr Institute at Faculty of Science, the University of Copenhagen is looking for a Data Engineer.

About us

The Novo Nordisk Foundation Quantum Computing Programme (NQCP) is establishing a talented and diverse international team to create a cutting-edge quantum programme in the heart of Copenhagen, Denmark. The long-term mission of the programme is to develop fault-tolerant quantum computing hardware and quantum algorithms that solve life-science-relevant chemical and biological problems.

NQCP together with Quantum Foundry Copenhagen (QF), company founded by Novo Nordisk Foundation with the focus enabling QPU fabrication in the programme - has successfully established a Data Team. This innovative team has designed and launched a unified data platform for the program, housed within Microsoft Fabric. Since it's still the early days for the platform, a Data Engineer will have the opportunity to significantly impact the creation of structure and the working culture within the Data Team.

We are deeply committed to leveraging data, and we mean it—pushing the boundaries of what's possible in quantum computing.

Key responsibilities:

Design and develop robust data pipelines integrating multiple data sources into our Microsoft Fabric-based platform.
Perform data modelling, data warehousing, and building ETL processes.
Optimize data flow and collection to meet the functional and non-functional organisation requirements.
Develop high-quality code in Python and SQL to manage and automate data processes.
Maintain and improve the existing database and ETL processes, ensuring their reliability and efficiency.
Collaborate with NQCP teams to optimally design the integration and incorporation of various data sources into the existing data platform structure.
Implement data governance and security policies in line with organisation standards.

We expect:

At least 1 year 'hands on’ experience in developing data platforms or data warehouse solutions, preferably in Microsoft Azure
Proven experience as a Data Engineer, Data Scientist, or similar role.
Proficiency in Python and SQL
Knowledge of data warehousing solutions and familiarity with data integration tools.
DAX knowledge is advantageous but not mandatory.
Excellent analytical, problem-solving, and organizational skills.
Ability to work in a fast-paced environment and manage multiple projects simultaneously.

Your personality is analytical, structured, and curious. You are a team-player and work to develop the best solutions with input from highly skilled colleagues in interdisciplinary fields.

Terms of salary and employment
The employment and salary are made in accordance with the Circular on the Collective Agreement concerning academics in the state sector concluded between the Ministry of Finance and AC (the Danish Confederation of Professional Associations).

Employment will be as academic employee (AC-medarbejder), academic officer (AC-fuldmægtig) or special consultant (specialkonsulent) depending on your educational and professional background. The salary is based on seniority. Negotiation for salary supplement is possible. The working time are 37 hours per week on average. The working hours are flexible.

The position is limited until 31 December 2029 and appointment will be subject to receipt of a security clearance. Start: as soon as possible.

The University of Copenhagen seeks to reflect society and encourages applications irrespective of personal background.

Your application
If you find the job interesting, please send an electronic application with attachment via Jobportalen (click on the link "Apply Now" at the bottom of the post) no later than 22 May 2024.

The University of Copenhagen seeks to reflect society and encourages applications irrespective of personal background.

Further questions

Any questions about the position may be directed to the Head of Data, Juste Stumbryte, juste.s@nbi.ku.dk.

The Faculty of Science at the University of Copenhagen – or SCIENCE – is Denmark's largest science research and education institution with 4,000 employees and 9,700 Bachelor and Master's students in 12 departments. The Faculty has an annual budget of DKK 3 billion.

Learn more about The Faculty of Science at

SCIENCE Data Engineer at Niels Bohr Institute, NQCP