Databricks Engineer
⚲ Wrocław, Kraków
18 480 - 26 040 PLN netto (B2B)
Wymagania
- PySpark
- Azure
- Databricks
- SQL
- Python
- Data Science
- OCR
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 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 pipelines
• End-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
• Mentoring and providing guidance to junior data engineers
• Possibility to develop yourself in advanced AI technologies
Required skills:
For this role, you will need 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
• English (B2)
Nice to have:
• Experience with Docker/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 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 pipelines
• End-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
• Mentoring and providing guidance to junior data engineers
• Possibility to develop yourself in advanced AI technologies
Required skills:
For this role, you will need 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
• English (B2)
Nice to have:
• Experience with Docker/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
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We’re looking for specialists open to cooperate on B2B basis
Praca będzie realizowana w oparciu o umowę B2B, co oznacza brak świadczeń pracowniczych i samodzielne rozliczanie podatków.
🟡
for our customer – Avanade Poland
Będziesz pracować dla firmy Avanade, a nie bezpośrednio dla firmy publikującej ogłoszenie, co może wpływać na kulturę pracy i procesy decyzyjne.
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Possibility to develop yourself in advanced AI technologies
Możliwość rozwoju w obszarze AI jest wspomniana, ale nie jest to główny zakres obowiązków ani gwarancja konkretnych projektów.
🟡
Mentoring and providing guidance to junior data engineers
Oczekuje się od Ciebie nie tylko wykonywania zadań, ale także wspierania mniej doświadczonych kolegów, co może oznaczać dodatkowe obowiązki.
🟡
Staying up-to-date with the latest developments in data engineering world
Oczekuje się, że będziesz samodzielnie poszerzać wiedzę, co może wymagać poświęcenia czasu poza godzinami pracy.