- 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
Shrnutí
Tato role zahrnuje budování rozsáhlých datových platforem, pipeline, datových jezer a Lakehouse řešení v měřítku Databricks. Inženýr bude mít významný technický vliv na funkcionality, architekturu a rozhodování o zdrojích, pracovat s moderním datovým stackem na tvorbě dat, která přímo podporují analytiku a rozhodování pro globální klienty.
Klíčové údaje
- Stav
- Dostupná
- Lokalita
- Prague
- Typ smlouvy
- Plný úvazek
- Forma práce
- Hybridní
- Úroveň
- Senior
- Požadované dovednosti
- Databricks
- Apache Spark
- Delta Lake
- Python
- Scala
- cloud
- streaming
- distribuované zpracování dat
- Benefity
- rozpočet na vzdělávání
- mentoring
- konference
- certifikace
- zdravotní pojištění
- sportovní aktivity
- rodinné programy
- Odhadovaná mzda (neoficiální)
- ~95k–120k Kč/moHrubý odhad pro pozici na plný úvazek — neuvedeno zaměstnavatelem Jak se to počítá?