Data Engineer – Analytics Platform
Summary
A mid-senior data engineer builds and maintains ETL/ELT analytics pipelines for operational and business reporting in a modern manufacturing environment, using SQL, Python, data warehousing, and Spark or dbt, collaborating with analysts and product teams. Hybrid role in Copenhagen, 6-month duration.
About the role
We are looking for a data engineer to help build and improve analytics pipelines for operational and business reporting across a modern manufacturing environment.
Responsibilities
- Develop and maintain ETL/ELT data pipelines for structured and semi-structured sources.
- Contribute to data platform quality, observability, and performance tuning.
- Collaborate with analysts and product teams to ensure usable and trusted data products.
Required skills
- 3+ years working with modern data platforms.
- Strong debugging and performance optimization skills.
- Experience collaborating with analytics and business teams.
Technical profile
- SQL and Python
- Data warehousing
- Spark or dbt
- ETL/ELT orchestration
Nice to have
- Experience in manufacturing or industrial data environments.
Who you are
You enjoy building reliable data foundations and translating business questions into clean, maintainable data pipelines.
Category Data & AI
Industry Manufacturing
Seniority Mid-Senior
Location Copenhagen, Denmark
Work mode Hybrid
Timeline ASAP – Ongoing
Duration 6 months
Language English
Interview Remote + onsite
Required skills
3+ years working with modern data platforms.
Strong debugging and performance optimization skills.
Experience collaborating with analytics and business teams.