Senior Data Engineer
Collibra — AI Governance · Analytics · Artificial Intelligence (AI)
About the role
Joining Collibra’s Data Office Team
Collibra is looking for a Senior Data Engineer in our own Data Office to evolve our internal self-serve data platform and to optimize data flow and collection for cross functional data products. This role will be integral to supporting Collibra’s rapid growth and our thought leading position in data intelligence.
This is a hands-on, roll up your sleeves position and requires a passion for data and engineering. You communicate as comfortably with technical stakeholders as with business ones. You are unable to shed a continued enthusiasm for new (data) technology. You pride yourself in providing a self-service, production-ready data platform that, following best practices, keeps the lights on for the business’ data products.
As you fuel Collibra’s modern Data Platform, you will leverage your experience to lead self-serve data infrastructure into state of the art platform and help data teams across Collibra drive change through data.
This is a hybrid role based in our Brussels office. Our hybrid model means you’ll work from the office at least two days each week. This setup helps us stay connected, work more closely together, and keep making progress as a team.
Senior Data Engineers at Collibra are responsible for
Continuously evolve our self-service data infrastructure for our business’ data products
Manage, provide support and use extraction and transformation tools to enable data product owners to drive business value
Manage and build cloud infrastructure technology to deliver value for the business and elevate data security
Collaborate and support stakeholders (in Finance, Marketing, Product, Sales, …) to identify and plan new requirements for our data platform and data products
You have
5+ years experience performing data engineering operations to fulfill business needs with a strong focus on data modeling
Strong experience in building cloud-based data infrastructures in GCP using IaC (Terraform). In depth knowledge of warehousing (BigQuery) and storage technologies.
Experience with orchestration tools (Apache Airflow), scheduling of ETLs and strong programming skills in Python and SQL (with dbt).
Familiarity with running containerized workloads using Docker and Kubernetes
Interest in applying AI/LLM tooling to data engineering workflows is a plus
Interest in making sure our data assets are governed, documented, and discoverable.
Collibra experience is a plus
A bachelor’s degree or equivalent work experience is required
You are
Deeply technical, passionate, and analytical about the insights data can deliver
Process oriented and driven, knowing you can’t accelerate at scale without continuously improving processes
Familiar with supporting different types of stakeholders and working with cross-functional teams in a dynamic environment
A strong communicator in English, both written and oral. You’ve applied those skills for technical and business audiences in the form of documentation and requirements
Experienced at identifying, prioritizing, and getting buy-in for data opportunities within a large organization
Measures of success are
Within your first month, you will familiarize yourself with the team, the data platform and the stakeholders of the Data Office. Within that time you are expected to have a comprehensive understanding of the challenges ahead.
Within your third month, you will be able to autonomously tackle at least one of the main challenges in tight coordination with the stakeholders.
Within your sixth month, you will be able to effectively collaborate on the evolution of the data infrastructure with concrete and constructive decisions
Benefits at Collibra
Collibra recognizes and values that everyone has different needs, interests, and life goals. We built our benefits program with flexibility in mind to support you and your loved ones through a diverse range of circumstances and life events. These flexible offerings sit on a foundation of competitive compensation, health coverage, and time off. Learn more about Collibra’s benefits .
We create inclusion and belonging through how we onboard, meet, connect, engage, and communicate. Learn more about diversity, equity, and inclusion at Collibra.
At Collibra, we’re proud to be an equal opportunity employer. We realize the key to creating a company with a world-class culture and employee experience comes from who we hire and creating a workplace that celebrates everyone.
With this, we proudly consider qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sexual orientation, pregnancy, sex, gender identity, gender expression, genetic information, physical or mental disability, HIV status, registered domestic partner status, caregiver status, marital status, veteran or military status, citizenship status or any other legally protected category. If you have a need that requires accommodation, let us know by completing our Accommodations for Applicants form .
What the index says about this role
- First seen by JobLarper — Aug 2, 2026, 5 days ago. Older postings collect hundreds of applicants — a tailored résumé matters more the longer a role has been live.
- What Data Engineer roles ask for — across 450 indexed openings: SQL (64%), Python (63%), Cloud (46%), REST/APIs (40%), ML (31%). This posting names SQL, Python, Cloud, REST/APIs, AI/LLM.
- Collibra is hiring actively — 16 open roles indexed.
Derived from the 27,000 roles JobLarper indexes daily from official company boards — not from the job description above.
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