Lead Data Engineer
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
A.P. Moller - Maersk
A.P. Moller Maersk is the global leader in container shipping services. The business operates in 130 countries and employs 80000 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.
Key Responsibilities
Lead the design development and scaling of data pipelines frameworks and services that power Maersks 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.
We are looking for
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.
Bachelors or masters 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.
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Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
Maersk Line is a Danish international container shipping company and the largest operating subsidiary of the Maersk Group, a Danish business conglomerate. It is the world's largest container shipping company by both fleet size and cargo capacity, serving 374 offices in 116 countries
