Data Engineer - Energy Storage & Optimization

Data Engineer - Energy Storage & Optimization

Join to apply for the Data Engineer - Energy Storage & Optimization role at Einklang New Energy

We believe in powering the world in harmony with sun and wind. Our mission is to empower European companies to compete globally by providing access to the cheapest electron, which will always be green. We combine intelligent battery storage and flexible energy supply through our orchestration layer, Einklang OS.

Responsibilities

• Design, build, and maintain our cloud‑native optimization pipeline for battery storage systems.
• Develop scalable data models and services that help our system forecast, decide, and act.
• Work closely with product, energy specialists, and engineering to turn complex energy dynamics into clean, robust code.
• Own projects end‑to‑end – from idea to architecture to implementation to production.

Who You Are

• Curious, proactive, and communicative – you love exploring new domains.
• Ready to take ownership and drive decisions independently.
• Fast learner with a genuine motivation to dive deep into the energy domain.
• Passionate about building real systems that solve real problems.

Tech Stack

• Python
• Postgres
• Docker
• GitHub
• Terraform

Nice to Have

• Cloud experience (e.g., AWS, GCP, Azure, Hetzner)
• Energy market or grid knowledge
• Optimization / operations research background
• German language skills

Benefits

• Build technology that shifts Europe toward renewable energy
• Work in a fast‑paced startup shaping the energy transition
• High ownership and impact – your work directly moves real electrons
• Collaborative, mission‑driven team with a great office in the heart of Cologne
• Strong personal growth opportunities in a rapidly scaling environment
• Meaningful work that directly contributes to a greener and more resilient energy system
• Practical perks that support your wellbeing, like Urban Sports and Deutschlandticket option

Ready to power Europe’s energy future?

Send us your profile — we’d love to meet you.