Design and build the data foundation enabling business insights.
Translate business requirements into optimal data models and pipelines.
Take end-to-end ownership—from scoping through delivery.
Build efficient, automated data solutions ensuring quality, governance, and performance.
Deliver robust, scalable infrastructure powering data-driven decision-making.
Design, develop, and maintain scalable data pipelines in Microsoft Azure.
Ensure data quality and integrity throughout the data lifecycle.
Monitor and optimize the performance of data systems to meet scalability requirements.

5 or more years of experience as a Data Engineer or Data Platform Engineer.
Bachelor's or Master's in Computer Science, Data Engineering, or a related field.
Strong expertise in the Azure tech stack (Fabric, Azure Data Factory, SSAS, etc.) or similar tech stack.
Experience building and optimizing data pipelines.
Experience in data platform engineering including workspace architecture, capacity planning, and monitoring.
Solid SQL and Python skills with ability to navigate complex scripts and perform performance tuning.
Deep understanding of data warehousing, data modelling, and dimensional design.
Experience with data governance, security, access control, and compliance frameworks.
Proficient in Agile and CI/CD practices using GitHub, Jira, or Azure DevOps with keen eye for automation.
Fluent in English as it is our corporate language.

Joining our Employees Club offering nearly 100 events a year of both social and professional character.
On-site perks from physiotherapist-led massages and an in-house hairdresser.
Access to sports clubs, game tables, and padel court.
Daily selection of delicious and healthy dishes in our canteen.
Free ARoS +1 access and various shopping discounts.

Senior Data Engineer

Key skills