A.P. Moller – Maersk is the global leader in container shipping services. The business operates in 130 countries and employs 80,000 staff. An integrated container logistics company, Maersk aims to connect and simplify its customers’ supply chains.
With more than 180 nationalities represented across 131 countries, we have a responsibility to build a workforce that reflects our global customer base. We move 20% of global trade and are on a mission to become the Global Integrator of Container Logistics. To achieve this, we are transforming into a digital-first company by combining our assets across ocean, land, air, and ports with a growing portfolio of digital solutions.
Lead the design, development, and scaling of data pipelines, frameworks, and services that power Maersk’s enterprise data platform.
Act as both a technical lead and an architect on the data platform, shaping the design principles, integration patterns, and governance guardrails that enable reliable, high-quality data products.
Partner with product managers, data scientists, and business stakeholders to translate requirements into scalable, production-grade data solutions.
Drive best practices in data modeling, storage, streaming, and orchestration across multiple domains.
Mentor and guide engineers on the team through design reviews, code reviews, and architectural decision-making.
Ensure platform solutions are cloud-native, cost-efficient, and future-proof, with a focus on automation, observability, and security.
Stay current with emerging technologies (e.g., Delta Lake, Lakehouse, Kafka, Kubernetes-based data stacks) and bring pragmatic adoption into the platform.
8+ years of experience in data engineering, with at least 2+ years in a technical leadership or lead role.
Strong expertise in building distributed data processing pipelines using Spark, PySpark, SQL, and Python.
Deep knowledge of cloud data platforms (Azure preferred) and experience with tools such as Databricks, Synapse, ADF, and event streaming technologies (Kafka).
Proven track record in data architecture: data modeling, partitioning strategies, storage formats (Parquet, Delta), metadata/catalog management, and governance.
Experience designing and operating large-scale, mission-critical data platforms with high performance and availability.
Strong understanding of CI/CD, Infrastructure as Code, and modern DevOps practices in data engineering.
Excellent collaboration and communication skills to work with cross-functional teams and influence architectural direction.
Bachelor’s or master’s degree in Computer Science, Engineering, or a related quantitative field.
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.
We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com.