Senior Databricks Data Engineer

element61; Brussel Hoofdstad; On-site; EUR 85,000 - 110,000; Full time

Benefits offered by this job

Market-leading compensation package

Cafeteria plan

Mobility budget

Training & knowledge sharing days

Access to AI tools and latest tech

Job summary

element61 is seeking a Senior Databricks Data Engineer to join our Data Platform & Data Engineering Team. You will own end-to-end data platforms on Databricks for clients, defining architectures and guiding colleagues.

You will work hands-on to deliver analytics-ready platforms, collaborate with customers, translate ambitions into concrete deliverables, and coach teams on best practices.

Qualifications

• 4+ years of experience as a data engineer or in BI, with 2+ years in the cloud (preferably Azure) and ETL jobs you designed, built and maintained.
• Strong data modelling and coding skills (SQL, Python, PySpark).
• Hands-on experience with Databricks, Spark, Delta Lake, Unity Catalog, streaming and CDC.
• Hands-on use of AI in engineering work and willingness to expand it.
• Databricks Certification (Data Engineer Associate or Professional) is a plus or open to obtaining it.
• Team-oriented problem solver who translates customer questions into design and communicates choices clearly.
• Enthusiastic about being part of a growing team and industry.
• Resides in Belgium.
• Fluent in English and either Dutch or French.

Responsibilities

• Design, build and maintain ETL pipelines and data models on Databricks, with Spark and Delta Lake.
• Implement streaming and Change Data Capture with Lakeflow and Declarative Pipelines.
• Establish governance and access control in Unity Catalog.
• Bring AI into the platform with Databricks Genie and Genie Spaces.
• Translate customer questions into technical solutions and implement the design in Databricks.
• Coach colleagues and client teams, and review their work.

Skills

Data modelling

SQL

Python

PySpark

Coaching teammates

Team player

Problem solving

AI in engineering

Education

Databricks Certification (optional)

Tools

Databricks

Spark

Delta Lake

Unity Catalog

Lakeflow

Job description

We are looking for a Senior Databricks Data Engineer to join our Data Platform & Data Engineering Team . You work on multiple projects building data platforms on Databricks for our clients. On those projects you are the Databricks reference : you define the architecture of the data platform and solutions, make decisions on how things are built and coach colleagues. You are a Databricks Champion, or you have the ambition to become one. 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 Senior Databricks Data Engineer, you work hands-on to deliver data platforms that are ready for analytics and AI, and you own them from first requirement to production . Every mission we embark on will be a collaboration with the customer, where we translate their ambitions into concrete deliverables.

Your responsibilities

• Design, build and maintain ETL pipelines and data models on Databricks , with Spark and Delta Lake
• Implement streaming and Change Data Capture with Lakeflow, including Declarative Pipelines
• Establish governance and access control in Unity Catalog
• Bring AI into the platform with Databricks Genie and Genie Spaces
• Translate customer questions into technical solutions, shape the solution design (data platform strategies and architectures) and implement it in Databricks
• Coach colleagues and client teams, and review their work

Qualifications & Requirements

• You have coached colleagues before, and you enjoy it 4+ years of experience as a data engineer or in BI, of which 2+ years in the cloud , preferably Azure, with ETL jobs you designed, built and maintained yourself
• Strong data modelling and coding (mostly SQL, Python, PySpark ) skills
• Hands‑on experience with Databricks and the open‑source technology underneath: Spark, Delta Lake, Unity Catalog, streaming and CDC
• You use AI hands‑on in your own engineering work and are keen to do more with it
• Databricks Certified Data Engineer Associate or Professional is a plus, or you are open to obtaining it
• A team player and problem solver who turns a customer question into a design, switches easily between projects and explains technical choices to any stakeholder
• Enthusiastic about being part of a growing team & industry
• You already reside in Belgium
• You are fluent in English, and either Dutch or French

Company Culture & Benefits

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.

• 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