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Location
Hybrid
Seniority
Senior · 5+ years exp

Confirmed on the employer's own hiring board on Oct 1, 2026. First seen by Alion on Sep 23, 2026.

Overview
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Mindbox is a technology company that builds customer data and marketing automation platforms for retailers, financial institutions and consumer brands. Its products unify customer records across sales channels, run loyalty programmes and personalised campaigns, and increasingly apply machine learning to segmentation and next-best-offer decisions rather than leaving marketers to define rules by hand. Operating from Warsaw and serving clients across central and eastern Europe, it competes with the marketing clouds of the large enterprise software vendors by offering deeper local integration and a lower implementation burden.

At Mindboxwe connect top IT talents with technology projects for leading enterprises across Europe.

We are seeking an experienced Senior Azure Data Engineer to join our team and contribute to the design and development of a modern data platform leveraging Azure Databricks, Apache Spark, and Data Lake. If you are passionate about building scalable data solutions and working with the latest cloud technologies, this opportunity is for you!

Sounds like your kind of challenge?

Responsibilities

  • Flexible cooperation model
  • Hybrid work setup - remote days available depending on the client’s arrangements - 1-2 days a week from the office in Warszawa
  • Collaborative team culture - work alongside experienced professionals eager to share knowledge
  • Continuous development - access to training platforms and growth opportunities
  • Comprehensive benefits - including Interpolska Health Care, Multisport card, Warta Insurance, and more
  • High quality equipment - laptop and essential software provided

Requirements

  • Design and develop data processing workflows and pipelines
  • Build and maintain scalable data pipelines for analytics and reporting
  • Work with Azure Databricks and Apache Spark for large-scale data transformations
  • Develop robust solutions using Python and SQL
  • Integrate data from multiple sources and ensure high data quality
  • Optimize performance and efficiency of ETL/ELT processes
  • Monitor data flows and troubleshoot issues to ensure stability
  • Collaborate closely with data architects, analysts, and business teams

Note:Detailed project information will be shared during the recruitment process.

Benefits

Required Skills & Experience

  • 5+ years of experience as a Data Engineer
  • Expertise in Azure Data Platform with strong experience in Azure Databricks
  • Solid knowledge of Apache Spark and distributed data processing
  • Excellent skills in Python and SQL
  • Experience with Data Lake architectures
  • Strong understanding of data modeling and data processing principles
  • Proficiency with Git and collaborative development environments

Nice to Have

  • Experience with Hive and Apache Impala
  • Familiarity with CI/CD pipelines for data solutions
  • Exposure to working with large-scale datasets (Big Data)
  • Background in the financial services sector

Joining this project you’llbecome part of Mindbox - a tech-driven company where consulting, engineering, and talent meet to build meaningful digital solutions. We’llback you up every step of the way, accelerate your development, and ensure your skills make a difference.

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