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December 17, 2025

Data Engineer (Databricks, Azure) Mid/Senior

Mid • Remote

$120 - $180/

Wrocław, Poland

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 Data Engineer, you will broaden your experience by working in modern projects for various domains and industries. You will extend your skills in a wide range of tools, focusing on tasks such as:

  • 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 data governance, data quality, and data security best 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


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


Required skills:

For this role, you will need commercial 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

  • English (B2)

Nice to have:

  • Experience with MS Fabric

  • Experience with Docker/Kubernetes

  • Knowledge of machine learning concepts and frameworks (e.g. MLflow, TensorFlow)

  • Knowledge/experience with LLMs and orchestration frameworks



If you want to ask any questions before applying, feel free to reach out via LinkedIn!