Engineer

Senior Data Engineer

What Were Building and Why You Should Care

GDA is Maersks bold leap into the future of data and AI. Its not just a platform-its a transformation of how the worlds largest integrated logistics company turns its operational data into strategic intelligence. Think: real-time insights on vessel ETA and carbon emissions metadata-driven supply chain automation and retrieval-augmented copilots that advise planners and operators. Our data engineers dont just build pipelines-they shape the very foundation that powers AI-native logistics.

As a data engineer in the GDA-FBM team youll help modernize and operationalize Maersks global data estate. Youll craft reusable observable and intelligent pipelines that enable ML GenAI and domain-specific data products across a multi-cloud environment. Your code wont just move data-itll move trade.

What Youll Be Doing

• Ingest the world: Design and maintain ingestion frameworks for high-volume structured and unstructured data-from operational systems APIs file drops and events. Support streaming and batch use cases across latency windows.
• Transform at scale: Develop transformation logic using SQL Python Spark and modern declarative tools like dbt or sqlmesh. Youll handle deduplication windowing watermarking late-arriving data and more.
• Curate for trust: Collaborate with domain teams to annotate datasets with metadata ownership PII classification and usage lineage. Enforce naming standards partitioning schemes and schema evolution policies.
• Optimize for the lakehouse: Work within a modern lakehouse architecture-leveraging Delta Lake S3 Glue and EMR-to ensure scalable performance and queryability across real-time and historical views.
• Strong expertise building data modelling and dimensional modelling. Experience in SSAS/AAS.
• Experience in Azure tech stack like ADF ADB.
• Build for observability: Instrument your pipelines with quality checks cost visibility and lineage hooks. Integrate with OpenMetadata Prometheus or OpenLineage to ensure platform reliability and traceability.
• Enable production-readiness: Support deployment workflows via GitHub Actions Terraform and IaC patterns. Your code will be versioned testable and safe for multi-tenant deployments.
• Think platform-first: Everything you build should be reusable. Youll help codify data engineering standards create scaffolding for onboarding new datasets and drive automation over repetition.
  

What Were Looking For

• Strong foundation in data engineering: You know your way around distributed systems columnar storage formats (Parquet Avro) data lake performance tuning and schema evolution.
• Hands-on cloud experience: Youve worked with AWS-native services like Glue EMR Athena Lambda and object storage (S3). Bonus if youve used Databricks Snowflake or Trino.
• Modern engineering practices: Familiarity with GitOps containerized workflows (Docker K8s) and CI/CD pipelines for data workflows. Experience with Terraform and IaC is highly valued.
• Programming proficiency: Fluency in Python and SQL is a must. Bonus if youve worked with Scala Jinja-templated SQL or DSL-based modeling frameworks like dbt/sqlmesh.
• Curiosity and systems thinking: You understand the tradeoffs between batch vs streaming structured vs unstructured cost vs latency-and you ask why before you build.
• Collaboration skills: Youll work closely with ML engineers platform architects security teams and domain data owners. Ability to communicate clearly and write clean documented code is key.
  

What Makes This Role Special

• Impact at global scale: Your work will influence container journeys terminal operations vessel routing and sustainability metrics across 130 countries and $4T in global trade.
• Platform-level thinking: Youre not just solving one use case-youre building primitives for others to reuse. This is your chance to shape a high-leverage internal data platform.
• Freedom to experiment: We dont believe in checkbox engineering. Youll have space to challenge the status quo propose better tooling and refine the foundations of our platform stack.
• Career-defining scope: Greenfield. Executive visibility. Cross-domain exposure. This is not a maintenance role-its about creating the next chapter in Maersks data journey.

If youve ever wanted to build a platform that moves not just data but global trade-join us.

Maersk is committed to a diverse and inclusive workplace and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race colour gender sex age religion creed national origin ancestry citizenship marital status sexual orientation physical or mental disability medical condition pregnancy or parental leave veteran status gender identity genetic information or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements.

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