Data Engineer

Avanade Inc.; Kraków; On-site; PLN 90,000 - 130,000; Full time

Job summary

Avanade Inc. in Kraków is seeking a Data Engineer to expand expertise across industries, building scalable data pipelines and platforms using Azure, Databricks, PySpark, and SQL.

You will collaborate with data scientists, analysts, and engineers to integrate data, apply governance and security best practices, and mentor junior engineers while exploring AI technologies.

This role offers hands-on experience with modern cloud data tooling and opportunities to influence data-driven decisions.

Qualifications

• Hands-on experience building data pipelines and data platforms.
• Strong knowledge of ETL, data modeling and governance.
• Fluent English at B2 level or higher.

Responsibilities

• Create, develop, and operate scalable data pipelines.
• Deliver end-to-end data platforms including architecture and ETL.
• Collaborate with data scientists, analysts, and engineers to integrate data.
• Apply best practices for data governance, quality, and security.
• Tune data workflows to maximize reliability and throughput.
• Stay updated with trends in data engineering.
• Mentor and coach junior data engineers.
• Grow skills in advanced AI technologies.

Skills

Azure cloud

Databricks

Python

PySpark

SQL

ETL & data modeling

Data governance

Data warehousing

English (B2)

Tools

MS Fabric

Docker

Kubernetes

Job description

Come join us

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:

What you’ll do

• 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

You’ll use a range of tools depending on the project, however our core stack typically includes:

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

Skills and experiences

Must-have skills

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