FULL-TIME

Berlin
from today
Our goal is a solar power system on every roof, a storage unit in every house, and an e-car in every garage. How are we achieving this? Enpal makes solar easy: we rent out solar power systems, electricity storage and wallboxes at an all-inclusive rate, supplemented by a low-cost green electricity tariff, and intelligently networked into an integrated overall solution.
We are just at the beginning of our journey to becoming Europe’s largest energy company. That’s why we’re looking for talented people to accompany us on this journey, leave their footprint and celebrate successes together with us. At Enpal, you will find a dynamic working environment as well as the space to develop yourself personally and professionally and to use your strengths effectively.
As the first green unicorn in Germany and the fastest-growing energy company in Europe (FT1000 Ranking 2022 by Financial Times & Statista), we continue to advance our mission of green energy for everyone. Be part of this success story and change the world with us!

We are looking for a Senior Data Engineer to lead our data pipelines’ design, development, and optimization. You will be responsible for architecting and maintaining robust ingestion processes, ensuring data consistency, and collaborating closely with the product and analytics teams. In this role, you’ll tackle everything from new data source integration to performance tuning in large-scale environments.

• Data Pipeline Architecture: You’ll design and build scalable data ingestion and transformation pipelines, handling both batch and real-time streams.
• ETL/ELT Best Practices: You’ll build robust, efficient workflows using tools like dbt, Apache Airflow, or similar orchestration frameworks.
• Workflow Automation Integration: You’ll collaborate with software and platform engineers to ensure data workflows can incorporate automation logic and business rules (e.g., auto-escalation, anomaly detection).
• Quality & Governance: You’ll enforce data integrity, version control, and security protocols to safeguard data quality.
• Performance Optimization: You’ll diagnose bottlenecks in data processing and implement best practices to improve throughput and reliability.
• Mentorship & Team Building: You’ll lead by example in code reviews, provide guidance to junior engineers, and actively shape a knowledge-sharing culture within the team.