DataEngineer

Joining Collibra’s Data Office team Collibra is looking for a Data Engineer in our own Data Office to evolve our internal self-serve data and agentic platform and create ELT flows for cross functional data products. This role will be an integral part in helping 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 well with technology as with business stakeholders. 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 data lake, you will leverage your experience to lead our internal data self-serve infrastructure into state of the art data lake and help data teams across Collibra drive change through data. This is a hybrid role based in our Prague 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. 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 Create ETL pipelines to support Collibra’s analytical needs Collaborate and support stakeholders (in Finance, Marketing, Product, Sales) to identify and plan new requirements for our data and agentic platform and data products You have 2+ years experience performing data engineering operations to fulfill business needs with a strong focus on data modeling Strong experience in building ETL pipelines with Python. Knowledge of warehousing (BQ) and storage technologies. Experience working in a cloud environment is a plus. Experience with orchestra