Senior Databricks Data Engineer
Moore Brussel Moore AntwerpenMoore Gent Full-time Senior Data Engineering
At a glance
Senior Data Engineering role at Element61. Moore Brussel · full-time.
Pay not stated Data Engineering salary
RoleData Engineering
SenioritySenior
LocationMoore Brussel
EmploymentFull-time
PostedOct 16, 2026
Also hiring inMoore Antwerpen, Moore Gent
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Build and look after Databricks ETL pipelines and data models that support analytics and AI
- Set up streaming, change-data capture, and access governance using the named Databricks tools
- Turn customer needs into platform designs, make architecture choices, and deliver solutions through production
- Coach colleagues and client teams, review their work, and guide technical decisions
- Use Databricks Genie and Genie Spaces to add AI capabilities to data platforms
What you bring
- At least four years in data engineering or BI, including two or more years working in cloud environments
- Strong data modelling and coding ability, especially with SQL, Python, and PySpark
- Practical Databricks experience with Spark, Delta Lake, Unity Catalog, streaming, and change-data capture
- You already live in Belgium and speak English plus either Dutch or French
Who this fits
This senior role suits a hands-on engineer ready to lead platform architecture across client projects and coach colleagues. You’ll move between projects and explain technical choices to different stakeholders. You must already reside in Belgium and be fluent in English and either Dutch or French.
From the employer
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 groupwith 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.
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.
You are a Databricks Champion, or you have the ambition to become one. You will be surrounded by an exceptional peer groupwith 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.
- 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
- 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
- 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
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