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# Data Engineer

- **Company:** Optimile
- **Location:** Gent, Belgium
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, BigQuery, Code Review, Continuous Integration, Customer Data Management, Information Engineering, Data Infrastructure, Data Warehousing, Fraud Prevention and Detection, Identity and Access Management, Python (Programming Language), SQL Databases, Data Streaming, Large Language Models, Snowflake, Data Lakes, Apache Kafka, Video Streaming, Terraform, Data Pipelines, Databricks
- **Published:** November 14, 2026
- **Apply:** https://www.adzuna.be/details/5964577185

## About the Role

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

## Description

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.