Data Engineer

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 orchestration tools (Apache Airflow), scheduling of ETLs and strong programming skills in Python and SQL (with DBT) Familiarity with the Data Science process and ML learning model Experience with security best practices A bachelor’s degree or equivalent related working experience is required You are Deeply technical, passionate, and analytical about what the insights data can deliver Striving to do more using AI, capture its efficiencies and limit the risks leveraging AI governance 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 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 create and maintain new ETL pipelines. Within your sixth month, you will be able to effectively collaborate on the evolution of the data infrastructure with concrete and constructive decisions that allow for simplification of our processes. 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