As a Data Engineer at A.P. Moller Maersk you will design build and scale robust data solutions that power global logistics supply chain visibility and operational intelligence. You will play a key role in building cloud-native data platforms enabling advanced analytics and ensuring high-quality reliable and secure data pipelines across enterprise systems.
You will collaborate closely with product managers data scientists analysts and cross-functional engineering teams to deliver scalable and resilient data products that drive business impact.
Key Responsibilities
Data Engineering & Architecture
Design develop and maintain scalable batch and real-time data pipelines.
Build and optimize data ingestion frameworks integrating multiple internal and external data sources.
Architect and implement cloud-native data platforms using modern data stack technologies.
Ensure data quality lineage observability and governance best practices.
Platform & Performance
Optimize data models and pipelines for performance scalability and cost efficiency.
Implement CI/CD pipelines and infrastructure-as-code for data solutions.
Improve system reliability through monitoring logging and automated alerting.
Drive data platform standardization and reusable frameworks.
Collaboration & Stakeholder Engagement
Partner with business stakeholders to translate requirements into technical data solutions.
Work closely with data scientists and analytics teams to enable advanced reporting and ML use cases.
Provide technical mentorship to junior and mid-level engineers.
Contribute to design reviews and architectural discussions.
Governance Security & Compliance
Ensure adherence to enterprise data governance security and compliance policies.
Implement role-based access control and secure data handling practices.
Support audit readiness and regulatory requirements where applicable.
Required Qualifications
Bachelors or Masters degree in Computer Science Engineering or related field.
610 years of experience in data engineering or related software engineering roles.
Strong proficiency in Python SQL and Spark.
Hands-on experience with cloud platforms (Azure / AWS / GCP).
Experience with data orchestration tools (Airflow ADF or similar).
Expertise in building data warehouses/lakehouses (Snowflake Databricks BigQuery etc.).
Strong understanding of data modeling (star schema dimensional modeling).
Experience working with distributed systems and large-scale datasets.
Preferred Qualifications
Experience in logistics supply chain or enterprise-scale environments.
Exposure to streaming technologies (Kafka Event Hubs).
Knowledge of DevOps practices and Infrastructure-as-Code (Terraform ARM CloudFormation).
Understanding of data governance tools and frameworks.
Experience supporting AI/ML data pipelines.
Behavioral Competencies
Strong problem-solving and analytical mindset.
Ability to work in a fast-paced global environment.
Excellent communication and stakeholder management skills.
Ownership mindset with a focus on delivering business value.
Continuous learning and innovation-driven approach.
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 .
Required Experience:
IC
As a Data Engineer at A.P. Moller Maersk you will design build and scale robust data solutions that power global logistics supply chain visibility and operational intelligence. You will play a key role in building cloud-native data platforms enabling advanced analytics and ensuring high-quality rel...
As a Data Engineer at A.P. Moller Maersk you will design build and scale robust data solutions that power global logistics supply chain visibility and operational intelligence. You will play a key role in building cloud-native data platforms enabling advanced analytics and ensuring high-quality reliable and secure data pipelines across enterprise systems.
You will collaborate closely with product managers data scientists analysts and cross-functional engineering teams to deliver scalable and resilient data products that drive business impact.
Key Responsibilities
Data Engineering & Architecture
Design develop and maintain scalable batch and real-time data pipelines.
Build and optimize data ingestion frameworks integrating multiple internal and external data sources.
Architect and implement cloud-native data platforms using modern data stack technologies.
Ensure data quality lineage observability and governance best practices.
Platform & Performance
Optimize data models and pipelines for performance scalability and cost efficiency.
Implement CI/CD pipelines and infrastructure-as-code for data solutions.
Improve system reliability through monitoring logging and automated alerting.
Drive data platform standardization and reusable frameworks.
Collaboration & Stakeholder Engagement
Partner with business stakeholders to translate requirements into technical data solutions.
Work closely with data scientists and analytics teams to enable advanced reporting and ML use cases.
Provide technical mentorship to junior and mid-level engineers.
Contribute to design reviews and architectural discussions.
Governance Security & Compliance
Ensure adherence to enterprise data governance security and compliance policies.
Implement role-based access control and secure data handling practices.
Support audit readiness and regulatory requirements where applicable.
Required Qualifications
Bachelors or Masters degree in Computer Science Engineering or related field.
610 years of experience in data engineering or related software engineering roles.
Strong proficiency in Python SQL and Spark.
Hands-on experience with cloud platforms (Azure / AWS / GCP).
Experience with data orchestration tools (Airflow ADF or similar).
Expertise in building data warehouses/lakehouses (Snowflake Databricks BigQuery etc.).
Strong understanding of data modeling (star schema dimensional modeling).
Experience working with distributed systems and large-scale datasets.
Preferred Qualifications
Experience in logistics supply chain or enterprise-scale environments.
Exposure to streaming technologies (Kafka Event Hubs).
Knowledge of DevOps practices and Infrastructure-as-Code (Terraform ARM CloudFormation).
Understanding of data governance tools and frameworks.
Experience supporting AI/ML data pipelines.
Behavioral Competencies
Strong problem-solving and analytical mindset.
Ability to work in a fast-paced global environment.
Excellent communication and stakeholder management skills.
Ownership mindset with a focus on delivering business value.
Continuous learning and innovation-driven approach.
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 .
Required Experience:
IC
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