(Senior) Data Engineer - Enpal Energy (f/m/x) at Enpal B.V.

Berlin, , Germany -

Full Time

Start Date

Immediate

Expiry Date

12 Jan, 26

Salary

0.0

Posted On

14 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Python, SQL, Airflow, Snowflake, Database Administration, Data Warehousing, Cloud Infrastructure, Azure, GCP, AWS, Infrastructure as Code, DevOps, CI/CD, Data Pipelines, Analytics, Machine Learning

Industry

Services for Renewable Energy

Description

Company Description At Enpal, we’re building the largest renewable energy community in Europe. How? By making solar simple: We rent out solar panels, battery storage, and EV chargers – all in an all-inclusive package, combined with affordable green electricity and connected through one smart, integrated system. Guided by our motto “digital, decentralized, and 100% renewable”, our mission is twofold: scaling a world-class company while tackling one of the greatest challenges of our generation – climate change. We’re only just getting started on our journey to become Europe’s largest energy company – and we’re looking for bold talent to join us, shape our path, and grow with us. At Enpal, you’ll find a dynamic, purpose-driven environment with real ownership, impact, and the space to evolve personally and professionally. As Germany’s first green unicorn and Europe’s fastest-growing energy company (FT1000 Ranking 2022 by Financial Times & Statista), we’re pushing the transition to clean energy forward. Job Description We are looking for a Senior Data Engineer to join our Energy Data Science team. You will work at the intersection of data engineering and data science, enabling our forecasting and analytics products for the energy market. This role is ideal for a software engineer with a big data focus or a data scientist with strong professional data engineering experience. Collaborate closely with Data Scientists and MLOps Engineers to build forecasting and analytics products for the energy market. Design, implement, and maintain scalable ETL/ELT pipelines using Airflow, Python, and SQL, with robust observability and alerting. Build and maintain integrations for internal and external data sources. Explore, clean, structure, and aggregate datasets for high-quality downstream use cases (Analytics/ML). Administer databases and data warehouses, managing changes through CI/CD. Maintain and extend APIs to ensure reliable and performant data delivery. Establish and maintain CI/CD pipelines in Azure DevOps. Continuously improve the data architecture, adopt new technologies, and stay aligned with the latest industry trends. Qualifications 3+ years of professional experience in data engineering (including real-time data processing). Expertise in Python and SQL. Hands-on experience with Airflow, Snowflake, and database/DWH administration. Solid knowledge of Cloud Infrastructure (preferably Azure; GCP or AWS also acceptable) and IaC (Terraform or similar). Basic DevOps skills, including CI/CD setup in Azure DevOps. Holistic mindset on data products: motivated to deliver clean, structured, and scalable data pipelines for analytics and ML. Additional Information Work at Germany’s first green unicorn and actively shape the solar energy transition with us. The sun shines everywhere – and so do we. At Enpal, you’ll join a highly motivated and diverse team with over 65 nationalities working toward one mission. Office or home? You choose. We offer a hybrid work model – even after the pandemic – so you can balance focus and flexibility. Yes, we’re a startup cliché – and proud of it. From ping-pong and yoga corners to a rooftop terrace and fully stocked fridges – our Berlin HQ in Friedrichshain has everything you need to thrive. Your Enpal kick-start: On your onboarding day, you’ll meet the team, get to know the company – and have a welcome session with our founder, Mario. Stay in the loop: From company updates in our monthly All-Hands to solar deep dives in our Lunch & Learns – we make sure everyone understands the bigger picture. The energy transition is a team sport. Expect strong team spirit, ownership – and unforgettable team events. No progress without feedback. We embrace a strong feedback culture and believe your input drives our collective growth. We’re proud of our team’s diversity. All hiring and employment decisions are made without regard to race, religion, ethnicity, nationality, gender identity, sexual orientation, disability, or age. At Enpal, we stand for a safe and inclusive workplace – and take a clear stance against any form of discrimination or harassment.

Responsibilities

The Senior Data Engineer will work at the intersection of data engineering and data science, enabling forecasting and analytics products for the energy market. Responsibilities include designing and maintaining scalable ETL/ELT pipelines and collaborating with Data Scientists and MLOps Engineers.