Data Engineer

Avanade; Kraków; On-site; PLN 60,000 - 80,000; Full time

Job summary

Avanade is looking for a Data Engineer in Kraków, Poland. In this role, you will expand your expertise by contributing to initiatives across industries, focusing on creating and managing efficient data pipelines, delivering end-to-end data platforms, and collaborating with data teams. Ideal candidates will have hands-on experience with Azure cloud services, Databricks, and strong Python skills. This position offers opportunities to grow skills in advanced AI technologies and mentorship roles.

Qualifications

• Hands-on commercial experience with Azure cloud and services.
• Experience with Databricks in commercial projects.
• Proficiency in Python and PySpark for data solutions.

Responsibilities

• Create and manage scalable data pipelines.
• Deliver end-to-end data platforms with ETL implementations.
• Partner with data scientists and engineers to enhance performance.

Skills

Data pipeline creation and management

ETL implementation

Collaboration with data teams

Data governance

Python programming

SQL querying

English (B2)

Tools

Databricks

Azure Data Factory

SQL Database

MS Fabric

Docker

Kubernetes

Job description

What You’ll Do

In the Data Engineer role, you’ll expand your expertise by contributing to modern initiatives across a variety of industries and business domains. You’ll work with a broad toolset, with responsibilities including:

• Creating, developing, and operating scalable, efficient, and dependable data pipelines
• Delivering end-to-end data platforms, including data architecture and ETL implementations
• Partnering with data scientists, analysts, and engineering teams to integrate data and improve end-to-end performance
• Applying best practices for data governance, quality, and security across the data estate
• Tuning and streamlining data workflows to maximize reliability and throughput
• Keeping current with new trends and advancements in data engineering
• Supporting and coaching junior data engineers through mentoring and knowledge sharing
• Opportunity to grow your skills in advanced AI technologies

Tech stack

Databricks, PySpark, Azure cloud and services (Data Lake, SQL Database, Azure Databricks, Azure Data Factory), SQL, Python, MS Fabric

Qualifications

To be successful in this position, you should have hands‑on commercial experience with:

• Azure cloud and services (e.g. Azure Data Factory, Data Lake, SQL Database, Azure Databricks)
• Databricks (commercial project experience)
• Python and PySpark for building and operating data solutions
• SQL for querying, transforming, and validating data
• Core data engineering practices (ETL, data modeling, data warehousing, data governance)
• English at B2 level (or higher)

Nice to Have

• Hands‑on experience with MS Fabric
• Familiarity with containerization and orchestration (Docker/Kubernetes)
• Understanding of machine learning concepts and frameworks (e.g. MLflow, TensorFlow)
• Knowledge or experience with LLMs and orchestration frameworks