Lead Data Engineer
⚲ Wrocław, Kraków
30 240 - 36 960 PLN netto (B2B)
Wymagania
- PySpark
- Azure
- Databricks
- SQL
- Python
- MS Fabric
- Azure AI
- Docker
- Kubernetes
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 a Lead Data Engineer, you will guide Avanade Data Engineering teams in building modern Data & AI solutions. You’ll work with clients from various domains and industries, being exposed to Microsoft technologies and AI solutions. Beside helping to design/deliver scalable data platforms and state-of-the-art AI solutions, you will act as a Team Manager for ~10-20 specialists.
What you’ll do:
• Lead technical design and implementation of data pipelines, warehouses and integration solutions
• End-to-end development of data architectures and ETL processes
• Implementing data governance, data quality, and data security best practices across data systems
• Collaborating with clients and internal teams to translate business needs into robust data solutions
• Acting as both direct and indirect Team Manager for 10-20 specialists, providing them with mentoring and guidance
• Staying up-to-date with the latest developments in data engineering & AI world
• Explore and apply Machine Learning/AI solutions in projects
Tech stack:
During projects you will work with different tools, but the most core tech stack we use is:
Databricks, PySpark, Azure cloud and services (Data Lake, SQL Database, Azure Databricks, Data Factory), SQL, Python, MS Fabric, Azure OpenAI, Azure AI Foundry, Copilot Studio
Required skills:
For this role, you will need hands-on experience with:
• Databricks
• Azure cloud and services (e.g. Data Lake, SQL Database, Azure Databricks)
• Python and PySpark
• SQL
• Data Engineering concepts such as ETL, data modeling, data warehousing, data governance
• AI solutions: Azure OpenAI, Azure AI Foundry
• Docker/Kubernetes
• English (B2)
Nice to have:
• Experience with MS Fabric
• Knowledge of machine learning concepts and frameworks (e.g. MLflow, TensorFlow)
• Knowledge/experience with LLMs and orchestration frameworks
• Familiarity with GitHub Copilot, Copilot Studio, Cursor or similar tools
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 a Lead Data Engineer, you will guide Avanade Data Engineering teams in building modern Data & AI solutions. You’ll work with clients from various domains and industries, being exposed to Microsoft technologies and AI solutions. Beside helping to design/deliver scalable data platforms and state-of-the-art AI solutions, you will act as a Team Manager for ~10-20 specialists.
What you’ll do:
• Lead technical design and implementation of data pipelines, warehouses and integration solutions
• End-to-end development of data architectures and ETL processes
• Implementing data governance, data quality, and data security best practices across data systems
• Collaborating with clients and internal teams to translate business needs into robust data solutions
• Acting as both direct and indirect Team Manager for 10-20 specialists, providing them with mentoring and guidance
• Staying up-to-date with the latest developments in data engineering & AI world
• Explore and apply Machine Learning/AI solutions in projects
Tech stack:
During projects you will work with different tools, but the most core tech stack we use is:
Databricks, PySpark, Azure cloud and services (Data Lake, SQL Database, Azure Databricks, Data Factory), SQL, Python, MS Fabric, Azure OpenAI, Azure AI Foundry, Copilot Studio
Required skills:
For this role, you will need hands-on experience with:
• Databricks
• Azure cloud and services (e.g. Data Lake, SQL Database, Azure Databricks)
• Python and PySpark
• SQL
• Data Engineering concepts such as ETL, data modeling, data warehousing, data governance
• AI solutions: Azure OpenAI, Azure AI Foundry
• Docker/Kubernetes
• English (B2)
Nice to have:
• Experience with MS Fabric
• Knowledge of machine learning concepts and frameworks (e.g. MLflow, TensorFlow)
• Knowledge/experience with LLMs and orchestration frameworks
• Familiarity with GitHub Copilot, Copilot Studio, Cursor or similar tools
If you want to ask any questions before applying, feel free to reach out via LinkedIn!
🔍 Dekoder Ogłoszenia
🔴
guide Avanade Data Engineering teams in building modern Data & AI solutions
Może oznaczać zarówno faktyczne kierowanie technicznym rozwojem, jak i bardziej nadzorczą rolę bez głębokiego zaangażowania w kodowanie.
🔴
work with clients from various domains and industries
Może oznaczać pracę nad wieloma różnymi projektami, co wymaga szybkiego adaptowania się, ale też może prowadzić do braku głębokiego skupienia na jednym obszarze.
🔴
act as a Team Manager for ~10-20 specialists
Połączenie roli technicznej z zarządzaniem zespołem może oznaczać podział obowiązków i potencjalne ograniczenie czasu na głębokie zadania techniczne.
🔴
explore and apply Machine Learning/AI solutions in projects
Może oznaczać zarówno faktyczne tworzenie i wdrażanie modeli AI, jak i jedynie eksplorację możliwości lub integrację gotowych rozwiązań.
🔴
During projects you will work with different tools, but the most core tech stack we use is:
Chociaż podano kluczowy stos technologiczny, rzeczywiste projekty mogą wymagać pracy z wieloma innymi, mniej znanymi narzędziami.