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Data Engineer

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Senior Data Engineer developing Business Intelligence solutions at DSV, collaborating on data pipeline development and Operational Data Warehouse.

Posted 6/1/2026full-timeWarsaw • 🇵🇱 PolandMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
AzurePySparkScalaSparkSQL

About the role

Key responsibilities & impact
  • Working with all DSV business divisions as well as group functions to simplify information gathering and turning data into insight
  • Design and implement solutions that will support the development of our Operational Data Warehouse (ODW) in alignment with IT and BI architecture principles, guidelines, and standards
  • Develop and maintain scalable data pipelines for ingesting, processing and transforming large volumes of data from various sources
  • Analyse requirements together with our different department teams and create effort estimations and implementation planning
  • Document and provide technical specifications for the implementations
  • Refine and promote our agile delivery framework to help ensure high quality and flexible deliverables on the data & BI platform
  • Support different department teams in a collaborative work environment
  • Actively transfer knowledge to other team members as well as the Operations & Support team

Requirements

What you’ll need
  • Bachelor’s or master’s degree in computer sciences, Data Science, Information Technology or a related field
  • Min 4 years of experiences in BI/Data Engineering projects
  • Very good understanding and experience in developing efficient, performant and valuable BI solutions with global scale
  • Good knowledge of Microsoft’s BI stack: Azure Datalake, Azure SQL Database / Azure Synapse, Azure Data Factory, Synapse integration, DevOps, etc.
  • Good knowledge in Databricks and PySpark/Scala/Spark SQL
  • Ability to monitor, troubleshoot, and optimize data pipelines for performance and reliability
  • Very good knowledge in profiling and tuning queries for efficiency
  • Good knowledge of Agile methodology and CI/CD practices
  • Experience with task management tools (JIRA, Confluence)
  • Expert knowledge of data governance principles to ensure data quality, lineage, and compliance
  • Knowledge of data modelling concepts

Benefits

Comp & perks
  • Sharing the costs of sports activities
  • Private medical care
  • Sharing the costs of foreign language classes
  • Sharing the costs of professional training & courses
  • Life insurance
  • Integration events
  • Corporate gym
  • Corporate sports team
  • Parking space for employees
  • Extra social benefits
  • Holiday funds
  • Christmas gifts
  • Employee referral program
  • Charity initiatives
  • Bicycle parking
  • Modern and ergonomic office
  • Yoga in the office

ATS Keywords

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Hard Skills & Tools
data engineeringdata pipelinesBI solutionsAzure DatalakeAzure SQL DatabaseAzure SynapseAzure Data FactoryDatabricksPySparkdata modeling
Soft Skills
collaborationknowledge transferagile deliverycommunicationproblem-solving
Certifications
Bachelor's degreeMaster's degree