- Databricks at scale – you will not only create simple integration tasks but also extensive data platforms, pipelines, data lakes, and Lakehouse solutions.
- High degree of technical influence – you will take responsibility for functionalities, architecture, code quality, and decisions regarding performance, storage, and computing resources.
- Modern data stack – Databricks, Apache Spark, Delta Lake, Python, Scala, cloud, orchestration, streaming, and distributed data processing.
- Real business impact – the data created will not just end up in storage but will directly support analytics, data products, and customer decision-making.
- Complex projects for global clients – client works on technologically demanding solutions across semiconductors, finance, insurance, healthcare technology, telecommunications, and other industries.
- Collaboration with experienced professionals – working with senior engineers, solution architects, and data and AI specialists who openly share their knowledge.
- Support for professional development – learning budget, mentoring, conferences, and certifications including Databricks and Anthropic programs, the costs of which are covered by client.
- Technical and managerial career path – the opportunity to deepen technical expertise, lead a team, mentor colleagues, or broaden experiences across engineering, data, AI, and product.
- Flexibility – depending on the specific project and location, client offers hybrid or remote collaboration and flexible working hours.
- Support for health, family, and quality work – the offer may include health insurance, sports activities, family programs, and recognition of exceptional contributions.
Senior Data Engineer / Databricks
Summary
This role involves building extensive data platforms, pipelines, data lakes, and Lakehouse solutions using Databricks at scale. The engineer will have significant technical influence over functionalities, architecture, and resource decisions, working with a modern data stack to create data that directly supports analytics and decision-making for global clients.
Key facts
- Status
- Available
- Location
- Prague
- Contract
- Full-time
- Work arrangement
- Hybrid
- Level
- Senior
- Required skills
- Databricks
- Apache Spark
- Delta Lake
- Python
- Scala
- cloud
- streaming
- distributed data processing
- Benefits
- learning budget
- mentoring
- conferences
- certifications
- health insurance
- sports activities
- family programs
- Estimated salary (not official)
- ~95k–120k Kč/moRough estimate for a full-time role — not provided by the employer How is this calculated?