Data Engineer (Databricks, Azure)
⚲ Wrocław, Kraków
20 160 - 30 240 PLN netto (B2B)
Wymagania
- PySpark
- Azure
- OCR
- Databricks
- SQL
- Python
- Data Science
- Terraform
Opis stanowiska
We’re looking for specialists open to cooperate on B2B basis, for our customer – Avanade Poland.
Avanade website; Privacy policy
This role is available for both specialists open to work remotely (within Poland) or in hybrid mode (offices in Wroclaw and Krakow).
Position:
As Data Engineer, you will be working in projects for various domains and industries, with tech stack focused mostly around Databricks and Azure cloud. Among your tasks there will be:
• Designing, building, and maintaining scalable, efficient, and reliable data pipelines
• Developing data architectures and ETL processes end to end
• Collaborating with data scientists, analysts, and engineering teams to ensure effective data integration and optimization
• Applying best engineering practices across data solutions
• Optimizing data workflows and ensuring the reliability and performance of data systems
• (for Senior level) Taking on a Team Lead role within a project when needed
• Developing your skills in AI Engineering and exploring opportunities in this area
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, medallion architecture, data warehousing, data governance
• Terraform
• English (at least B2)
Nice to have:
• Docker and Kubernetes
• Knowledge of OCR and corresponding libraries (e.g. easyOCR)
• Any experience in data science area
If you want to ask any questions before applying, feel free to reach out via LinkedIn!
Avanade website; Privacy policy
This role is available for both specialists open to work remotely (within Poland) or in hybrid mode (offices in Wroclaw and Krakow).
Position:
As Data Engineer, you will be working in projects for various domains and industries, with tech stack focused mostly around Databricks and Azure cloud. Among your tasks there will be:
• Designing, building, and maintaining scalable, efficient, and reliable data pipelines
• Developing data architectures and ETL processes end to end
• Collaborating with data scientists, analysts, and engineering teams to ensure effective data integration and optimization
• Applying best engineering practices across data solutions
• Optimizing data workflows and ensuring the reliability and performance of data systems
• (for Senior level) Taking on a Team Lead role within a project when needed
• Developing your skills in AI Engineering and exploring opportunities in this area
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, medallion architecture, data warehousing, data governance
• Terraform
• English (at least B2)
Nice to have:
• Docker and Kubernetes
• Knowledge of OCR and corresponding libraries (e.g. easyOCR)
• Any experience in data science area
If you want to ask any questions before applying, feel free to reach out via LinkedIn!
🔍 Dekoder Ogłoszenia
✓ Ogłoszenie wygląda transparentnie — brak typowych czerwonych flag.