Data Engineering Lead

3 tygodni temu

Kraków, małopolskie, Polska MW Consulting Pełny etat 26 zł - 880 zł

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 Data Engineering Lead, 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 design and deliver scalable data platforms and state-of-the-art AI solutions, you will also 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 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:

  • Azure cloud and services (e.g. Azure Data Factory, Data Lake, SQL Database, Azure Databricks)

  • 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

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