Who we are

At elvah, we harness the power of real‑time data and cutting‑edge technology to transform the electric vehicle charging landscape. Our mission is to empower Charge Point Operators (CPOs) and energy stakeholders with actionable insights that drive operational efficiency, optimize costs, and accelerate the transition to sustainable mobility.

With a dedicated team of over 50 professionals across Germany and Europe, we’ve navigated every challenge together—from rapid market shifts to economic hurdles—emerging more resilient and united in our values. Our culture puts people at the heart of everything we do: we collaborate closely, cultivate continuous learning, and celebrate innovation.

Rooted in our partnership with industry leaders like E.ON Drive, we deliver best‑in‑class software solutions tailored to the unique needs of our B2B clients. But our ambition goes beyond individual apps: we are building a comprehensive ecosystem where every data point fuels deeper understanding, smarter decisions, and a seamless charging experience for EV drivers.

As we evolve into the next era of elvah, our focus is clear: turning complex charging data into clear, strategic insights. By bridging the gap between raw information and actionable intelligence, we enable our partners to unlock new revenue streams, boost station uptime, and deliver unparalleled service across their networks.

Together, we’re not just redefining charging—we’re powering the future of electric mobility.

At elvah, we are revolutionizing the EV charging ecosystem by turning complex infrastructure data into simple, actionable insights. As we bring our solution across Europe, we’re looking for our first Data Engineers to help shape a reliable and scalable data foundation. If you’re excited about building meaningful data products from the ground up and thrive in cross-functional, pragmatic environments this role is for you.

Why This Role Matters at elvah

Data is the backbone of elvah’s mission. Every day, we collect and process data from hundreds of thousands of charging points across Europe. Our first Data Engineers will be instrumental in transforming that data into high-quality, trustworthy insights for our customers, powering smarter decisions in EV infrastructure and accelerating the energy transition.

What You’ll Do

• Collaborate with analysts, backend engineers, and platform experts to design and implement robust ETL pipelines.
• Ingest and enrich data from APIs, cloud platforms, and databases into our new lakehouse infrastructure.
• Build data models and storage systems that support analytics and machine learning for customer-facing applications.
• Introduce testing, monitoring, and validation to ensure data quality and system reliability.
• Document your processes clearly and collaborate across teams to ensure transparency and shared understanding.
  
  

Your Profile

Experience:

• Proficiency in programming skills in Python
• Knowledge in database systems ( SQL and NoSQL)
• Hands-on experience in cloud data warehouses 
• Comfortable designing ETL/ELT processes and debugging tricky pipeline issues.

Skills:

• Strong communication and collaboration skills - you’ll work closely with analysts and engineers.
• Pragmatic, solution-oriented, and always ready to adapt to change.
• Bonus: Experience with testing data pipelines or working in early-stage teams.
  
  

Why This Role is for You

• You love building systems that make unstructured data valuable and actionable.
• You want to help lay the groundwork for a scalable data platform.
• You thrive in a collaborative, fast-paced environment where ideas are turned into action.
• You’re motivated by working on a mission that supports a cleaner, more sustainable future.
  
  

What to Expect From Our Hiring Process

At elvah, we prioritize inclusivity and transparency in our hiring process. Here’s what you can expect:

Application Review (2–3 days): Screened by our People & Culture and Data teams.
Recruiter Call (30 min): Learn more about your goals, expectations, and motivations.
Hiring Manager Interview (45 min): Talk about your day-to-day, working style, and problem-solving approach.
Case Study Interview (1 hr): Build a mini pipeline with real data and present your solution. (Take home)
Culture Add Interview (1 hr): Show how you’ll bring a fresh perspective and strengthen our team dynamic.