Data Engineer

DSV is a global logistics company operating in 90 countries with over 150,000 employees. The organization is currently undergoing a digital transformation of its operational systems, reporting, and analytics components. The Centre of Insight and Analytics within Global Finance focuses on driving business intelligence initiatives and creating end-to-end data products.

• Design end-to-end Lakehouse architectures using Databricks and Delta Lake;
• Define reference architectures for batch, streaming, and near-real-time workloads;
• Select and standardize patterns for ingestion, transformation, orchestration, and serving;
• Ensure scalability, security, cost optimization, and high availability across environments;
• Build and optimize ETL/ELT pipelines using Spark;
• Implement ingestion from APIs, event streams, files, databases, and message brokers;
• Optimize performance through partitioning, Z-ordering, caching, and file sizing;
• Implement incremental processing, CDC patterns, and schema evolution;
• Implement Unity Catalog for data governance, lineage, and access control;
• Define data quality rules, validation frameworks, and monitoring;
• Enforce data contracts, naming conventions, and lifecycle management;
• Integrate Databricks with cloud services including Azure, AWS, and GCP;
• Implement CI/CD for data pipelines and notebooks;
• Manage environments and infrastructure as code;
• Collaborate on cost governance and FinOps optimization;
• Model curated datasets for BI, analytics, and ML use cases;
• Support ML workflows and feature engineering;
• Act as technical lead for data engineering teams;
• Review designs and code, define best practices, and raise engineering standards;
• Mentor junior engineers and contribute to technical roadmaps;
• Influence data strategy and platform evolution.

• Bachelor’s or Master’s degree in Computer Sciences;
• 6-10 Years of experience in BI projects;
• Expert knowledge of Microsoft’s BI stack (Azure SQL Database, Azure Synapse, Azure Analysis Services, ADF, Databricks, DevOps);
• Expert knowledge in Tabular Models development and maintenance, and DAX Language;
• Proficient in English (spoken and written);
• Experience with Agile methodology, project planning, and milestone delivery;
• Strong problem-solving, analytical, and communication skills;
• Ability to work independently and in cross-functional teams;
• Nice to have: Expertise with Delta Lakes, PowerBI, Python, PowerShell Scripting, Streaming (Kafka, Event Hubs, Kinesis), ML integration (MLflow, Feature Stores), Power BI / Tableau / Looker integration, Infrastructure as Code (Terraform, ARM, CloudFormation), Domain experience in Logistics, Finance, Supply Chain, or Sustainability.

• Permanent contract with salary paid in 14 installments per year;
• Private medical care;
• English language courses;
• Food allowance of EUR 10.20 per working day;
• 35-Hour work week;
• Comprehensive onboarding program;
• Buddy system;
• Good access to public transport.