Data Engineer (Databricks, Azure)

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 Data Engineer, you will be working in projects for various domains and industries, with tech stack focused mostly around Databricks and Azure cloud. Among your tasks there will be:

• Designing, building, and maintaining scalable, efficient, and reliable data pipelines

• Developing data architectures and ETL processes end to end

• Collaborating with data scientists, analysts, and engineering teams to ensure effective data integration and optimization

• Applying best engineering practices across data solutions

• Optimizing data workflows and ensuring the reliability and performance of data systems

• (for Senior level) Taking on a Team Lead role within a project when needed

• Developing your skills in AI Engineering and exploring opportunities in this area

  
  

Required skills:

For this role, we require 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, medallion architecture, data warehousing, data governance

• Terraform

• English (at least B2)

Nice to have:

• Docker and 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!