Data Engineer Mid-Level (m/w/d)
Core
Build and maintain a scalable data lakehouse infrastructure and analytics platform to support energy infrastructure operations and data-driven decision-making.
Role type
Mid-level Data Engineer (hands-on IC)
Builds
Robust data pipelines, semantic metric layers, interactive data apps, and ML prototypes for the energy sector.
Domain
Energy infrastructure / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Databricks (Delta Lake, Unity Catalog), dbt, Apache Airflow, SQL (performance tuning), Python (pandas, PySpark, scikit-learn), Git/CI/CD, Star-Schema modeling
Preferred skills
Lightdash, Streamlit, MLOps practices, experimental tracking
Technologies
Databricks, dbt, Apache Airflow, Lightdash, Streamlit, Python, SQL
Responsibilities
Design and tune performant data pipelines on Databricks; build automated data models and orchestrate DAGs via Airflow; establish data quality checks and lineage; develop semantic metric layers and self-service BI in Lightdash; build interactive analysis tools and data apps in Python (Streamlit); perform exploratory analysis and prototype/train ML models for forecasting and anomaly detection; track experiments and deliver results to business units.
Seniority
Mid-level, hands-on IC