Data Engineer

Reports to: Our Product Manager: Data & AI, Sebastiaan | Location: Ghent (Hybrid) | Employment type: Payroll

About Optimile & Mobiflow

At Optimile, we are on a mission to make electric mobility smarter, simpler and more accessible. And we are doing it with innovative software, ambitious ideas and a team that’s passionate about making an impact.

Based in Ghent and part of DKV Mobility Group, we are combining the energy and agility of a growing tech company with the strength of an international mobility player.

Through Optimile, we empower charge point operators (CPOs) and mobility service providers (MSPs) with smart software solutions to manage and grow their charging businesses. With Mobiflow, we make EV charging effortless for businesses and their drivers, whether they’re charging at home, at work or on the road.

We are growing, innovating and constantly pushing boundaries. And we are looking for people who want to grow with us.

Ready to turn data into real impact?

Every day, thousands of EV charging sessions generate valuable data. Data that can help businesses make smarter decisions, improve charging experiences and unlock opportunities we haven’t even explored yet.

And that is where you come in!

We’re building a data platform that turns all that information into meaningful products and intelligent solutions. With our Databricks lakehouse in place and our first data product going live, we’re ready to take things to the next level.

Now we are looking for a data engineer who’s excited to take ownership, build something that matters and turn data ideas into real-world impact, shortening the road from insight to value for everyone in the EV charging ecosystem.

Sounds like your kind of challenge? Keep reading!

Your role

As our Data Engineer, you’ll be the driving force behind our data platform.

You’ll join our growing Data & AI squad as its first dedicated Data Engineer, taking ownership of our lakehouse and helping us transform exciting ideas into reliable, scalable solutions.

From building smart data pipelines to bringing AI-powered features into production, you’ll have the freedom to shape how we work with data.

And the best part? You won’t just be maintaining what’s already there. You’ll help decide what comes next.

What you’ll do

• Own the platform. Take charge of our Databricks lakehouse, from architecture and data quality to performance, costs and future improvements.
• Have a seat at the innovation table. Collaborate with the data squad to discover, shape and prioritise new use cases, turning fresh ideas into real business value.
• Make data flow. Design, build and maintain reliable batch and streaming pipelines, connecting data from our platforms and external sources.
• Build a solid foundation. Turn complex data into clean, structured and well-tested datasets that teams can confidently rely on.
• Bring innovation to life. Help turn data products and AI-powered solutions into reality, from fraud detection and charger health monitoring to intelligent support tools.
• Make experimentation easy. Create the right foundations for teams to explore new ideas quickly, without compromising on quality.
• Keep data safe. Make privacy, security and customer data isolation an essential part of everything you build.
• Connect tech with business. Work closely with Product, Finance, Support and our Development squads to turn business challenges into smart data solutions.
• Keep improving. Monitor what you build, solve problems at their root and continuously look for ways to make our platform better.

What we’re looking for

We’re looking for someone who loves solving complex challenges, takes ownership naturally and gets excited about turning data into something useful.

Your must-haves

• You bring at least 3 years of experience in data engineering, including building and maintaining pipelines in production.
• You’re confident working with Python and SQL and you know your way around testing, code reviews and CI/CD.
• You have strong data modelling skills and know how to turn complex information into structured, reliable datasets.
• You’ve worked with a lakehouse, data lake or data warehouse technology such as Databricks, Snowflake or BigQuery.
• You don’t just build things. You take responsibility for keeping them running and making them better.
• You’re comfortable translating business needs into technical solutions and explaining your choices to colleagues outside engineering.
• You understand the importance of data privacy, access management and GDPR.
• You’re based in Belgium and communicate fluently in Dutch and English.

Nice-to-haves

Got a few extras up your sleeve? Even better!

• Experience with Databricks, dbt, Terraform or AWS.
• Familiar with streaming technologies like Kafka, multi-tenant data environments or bringing ML and LLM solutions into production.
• You’ve helped build a data platform from scratch or enjoy sharing your expertise with colleagues.

Why Optimile

Because we are not just offering you another job in data engineering. We are offering you the chance to help build something with real impact.

• Ownership from day one. Your platform, your expertise, your opportunity to make a difference.
• Innovation that matters. Work with data and AI solutions that actually make it into production, not just another proof of concept.
• Impact you can see. Your work helps improve billing accuracy, detect fraud earlier and keep EV chargers running smoothly.
• Room to grow. Join a small but ambitious team where your ideas matter and you’ll help shape both the platform and the future team.
• A market full of opportunities. E-mobility is evolving fast and there is still so much to discover, improve and build.
• A team that has your back. Work alongside passionate colleagues who love sharing knowledge, challenging ideas and making things happen.

Ready to join the Optimile adventure?

We are looking for people who want to go further, think bigger and make a real difference.

If you’re ready to take ownership of our data platform, turn bold ideas into real solutions and help shape the future of e-mobility, we’d love to meet you.