Data Engineer

element61; Brussel Hoofdstad; On-site; EUR 65,000 - 90,000; Full time

Benefits offered by this job

Training & development

AI tools access

Team events

Job summary

element61 in Belgium is seeking a Data Engineer to join our Data Platform & Data Engineering Team. You will build data platforms for clients, collaborating with peers and senior colleagues to deliver robust analytics solutions.

You will work hands-on on ETL pipelines, SQL, Python and PySpark, using Databricks or Microsoft Fabric, and explore AI enhancements. Fluency in English and Dutch or French is valued; strong curiosity and teamwork are essential.

Qualifications

• 2+ years of experience as a data engineer or in BI with ETL you designed and maintained.
• Strong data modeling and coding skills: SQL, Python, PySpark.
• Experience with Microsoft stack and cloud, preferably Azure; Databricks or Fabric is a plus.
• Certifications are a plus, or you are open to obtaining them.
• Team player who communicates clearly and collaborates with customers.

Responsibilities

• Design, build and maintain ETL pipelines on Databricks or Fabric.
• Write and optimize SQL queries.
• Collaborate with customers to translate aims into deliverables.
• Apply AI in engineering work and explore Databricks Genie and Fabric Data Agents.

Skills

SQL

Python

PySpark

ETL pipelines

Databricks

Microsoft Fabric

Azure

AI in engineering

Certifications (plus)

Tools

Databricks

Microsoft Fabric

Azure

Job description

We are looking for a Data Engineer to join our Data Platform & Data Engineering Team. You work on multiple projects building data platforms for our clients. You take initiative and are able to work independently, but mostly operate in smaller and bigger teams, with coaching and support from your senior peers.

We work with Databricks and Microsoft Fabric. You do not need to master them yet: a first experience with one of the two is welcome, and you will work with both and build your skills on the job. You will be surrounded by an exceptional peer group with deep experience in Analytics Engineering within the Microsoft & Databricks tech stack, so you will always have colleagues to spar with on the (technical) decisions you make.

Your responsibilities

As a Data Engineer, you work hands-on to deliver data platforms that are ready for reporting, analytics and AI. Every mission we embark on will be a collaboration with the customer, where we translate their ambitions into concrete deliverables.

• Design, build and maintain ETL pipelines on Databricks or Microsoft Fabric
• Write and tune SQL
• Collaborate with the customer: understand their needs and think along on the technical solution
• Use AI in your own engineering work, and get to know Databricks Genie and Fabric Data Agents

Your profile

• 2+ years of experience as a data engineer or in BI, with ETL jobs you designed, built and maintained yourself
• Strong data modelling and coding (mostly SQL, Python, PySpark) skillsExperience with the Microsoft stack and cloud, preferably Azure
• A first experience with Databricks or Microsoft Fabric is a plus
• You use AI hands-on in your own engineering work and are keen to do more with it
• Certifications are a plus, or you are open to obtaining them
• A team player and problem solver who takes initiative, communicates clearly, thinks along with the customer and switches easily between projects
• Enthusiastic about being part of a growing team & industry
• You are fluent in English, and either Dutch or French

At element61, we hire for personality, drive, and a passion for learning, not just for what’s on your CV. You do not need to tick every bullet above: your ambition and motivation matter most to us, and we’ll support your growth.

Our commitment to you

• A market-leading compensation package, complemented by a wide range of extra-legal benefits and flexible options through our cafeteria plan and mobility budget
• Serious investment in your training and personal development, with knowledge sharing days where we learn and grow together
• Up-to-date technology: you always work on the latest releases, with access to a broad set of AI tools, from Claude to our own agentic engineering harness built around it, where our AI agent Ralph works alongside you as a colleague in every development
• Room for initiative: entrepreneurship is encouraged
• Plenty of team buildings and events together