Data Engineer (Databricks, Azure)

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 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!