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September 1, 2026

Junior Azure Data Engineer with Databricks (AI&Data)

Junior • On-site

Warsaw, Poland

Before you dive into the role

In this role, you will be part of a team driving digital transformation, gaining hands-on experience with GenAI and LLM in a production environment from day one. You will learn by doing and contribute to shaping the architecture from the ground up alongside experienced senior specialists.

The Work

  • Support building and maintaining cloud-based data pipelines in Azure and Databricks.
  • Assist with extracting, transforming, and integrating data from multiple data sources into central platforms.
  • Apply data modeling fundamentals, including 3NF and star/snowflake schemas.
  • Use SQL and basic PySpark for data manipulation, transformation, and preparation.
  • Collaborate closely with senior engineers to implement scalable data solutions.
  • Work location may combine remote work, client-site work, and office work depending on project circumstances. Some in-person time is required for collaboration, learning, and relationship building.

What’s in it for you?

  • Opportunity to build and expand data engineering skills in Azure and Databricks.
  • Exposure to international projects and a diverse team of Data & AI specialists.
  • Collaborative environment where ideas and growth matter.

Here’s what you’ll need

  • Minimum 1 year of hands-on experience with data pipelines and Databricks.
  • Familiarity with Unity Catalog features.
  • Foundational knowledge of Azure cloud services and cloud data concepts.
  • Proficiency in SQL and basic PySpark.
  • Understanding of data modeling fundamentals and basic ETL/ELT concepts.
  • Basic understanding of Git and DevOps concepts.
  • Good communication skills and willingness to learn.
  • Ability to work effectively in a team environment.

Bonus points if you have

  • Understanding of Lakehouse concepts and Medallion architecture.
  • Knowledge of Power BI or Tableau.
  • Azure Fundamentals or Databricks Lakehouse Fundamentals certification.
  • Academic or personal projects related to data engineering or analytics.
  • Familiarity with Jupyter notebooks or similar tools.

What we offer

  • Permanent employment contract.
  • Individual support from a People Lead and a structured development path, including access to coaching.
  • Comprehensive training package: soft-skills and technical training, language classes, e-learning platforms, Gallup test, GenAI training, and co-financing of courses and certifications.
  • Employee Assistance Program with legal, financial, and psychological consultations.
  • Eligibility for the Employee Share Purchase Plan and quarterly dividends.
  • Paid employee referral program.
  • Private medical care and life insurance.
  • Access to the Worksmile platform, including Multisport.

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