Senior Databricks Engineer
W skrócie
Senior Databricks Engineer role in Poland. Design, build, and maintain data pipelines & architectures. Requires Databricks, Azure, Python, PySpark, SQL, Data Engineering, Docker, Kubernetes, and English (B2). Remote or hybrid in Krakow/Wroclaw.
Słowa kluczowe
Skrót przygotowany przez AI na podstawie treści ogłoszenia.
We’re looking for specialists open to cooperate on B2B basis, for our customer – Avanade Poland.
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This role is available for both specialists open to work remotely (within Poland) or in hybrid mode (offices in Wroclaw and Krakow).
Position:
As Senior Databricks Engineer, you will be working in projects for various domains and industries, focused mostly around Databricks and Azure cloud. Among your tasks there will be:
Designing, building, and maintaining scalable, efficient, and reliable data pipelinesEnd-to-end development of data architectures and ETL processes
- Collaborating with data scientists, analysts, and other engineering teams to ensure data integration and optimization
- Implementing best engineering practices across data systems
- Optimizing performance of data workflows and ensuring the reliability of data solutions
- Staying up-to-date with the latest developments in data engineering world
- Acting as a Team Lead in the project if needed
- Possibility to develop yourself in AI engineering
- Required skills:
For this role, we require commercial experience with:
Databricks
Azure cloud and services (e.g. Azure Data Factory, Data Lake, SQL Database, Azure Databricks)
Python and PySpark
- SQL
- Data Engineering concepts such as ETL, data modeling, data warehousing, data governance
- Docker and Kubernetes
- English (B2)
Nice to have:
Knowledge of OCR and corresponding libraries (e.g. easyOCR)
Any experience in data science areaIf you want to ask any questions before applying, feel free to reach out via LinkedIn!
| Opublikowana | 2026-09-06 |
| Wygasa | 2026-12-05 |
| Źródło |
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