Senior Data Engineer

DSV - Global Transport and Logistics

Senior Data Engineer at DSV developing solutions for the Operational Data Warehouse with global collaboration across departments.

Posted 7/9/2026full-timeWarsaw • 🇵🇱 PolandSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and maintaining scalable data pipelines, implementing BI solutions, and ensuring data quality and compliance. Proficient in Microsoft’s BI stack and agile methodologies, with strong collaboration and knowledge transfer skills.

Highest-signal resume keywords

Data Pipeline DevelopmentMicrosoft BI StackAzure Data FactoryData Governance PrinciplesAgile Methodology

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Hard Skills

Data EngineeringBI Solutions DevelopmentData ModellingQuery Profiling and TuningAI Models DevelopmentPowerShell ScriptingPySparkScalaSpark SQLTabular Models Development

Soft Skills

CollaborationKnowledge TransferProblem Solving

Tools & Technologies

Azure DatalakeAzure SQL DatabaseAzure SynapseDevOpsJIRAConfluence

Industry Keywords

Operational Data WarehouseData QualityData LineageCI/CD PracticesAgile Delivery Framework

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 project
Very good understanding and experience in developing efficient, performant and valuable BI solutions with global scale
Good knowledge of Microsoft’s BI stack, namely 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
Knowledge of Power BI (Interest in advancing expertise in Power BI is highly valued)
Knowledge in Tabular Models development/maintenance
Knowledge in PowerShell Scripting
Experience with AI models and development
Proficient Level of English (spoken and written)

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