We are looking for a senior Data Engineer for an European energy company.
Tasks
- Design, develop, and maintain internal data platforms for scalable storage of energy sector data
- Architect and implement robust, scalable, and reliable data pipelines that ingest, transform, and integrate time series data from multiple sources
- Collaborate with cross-functional teams to define and implement data models that support business analytics and forecasting
- Develop dashboards and visualisations to communicate insights effectively to stakeholders
- Drive best practices for data quality, security, and performance optimisation
- Mentor junior data engineers and contribute to the continuous improvement of data engineering standards
Requirements
- Advanced degree in Computer Science, Data Science, Mathematics, or similar field
- Minimum 4-6 years of experience in data engineering roles.
- Proficient in Python and SQL for large-scale data transformations of time series data
- Extensive experience with Databricks (Lakehouse Architecture), Azure cloud services, and Power BI
- Strong understanding of DataOps and DevOps principles
- Strong interest in data modelling (conceptual, logical, physical), ETL development, and data warehousing
- Full professional proficiency in English
What we offer
- Competitive base remuneration determined by actual experience and skills.
- Fringe benefits complementary to the base remuneration (cafeteria, bonus).
- 2-3 days a week home office provided.
- Working together with a dynamic team of IT professionals.