Leverages strong data management capabilities and foundational engineering skills to develop reliable, scalable solutions across the CI organization. The role focuses on preparing and maintaining high quality datasets and pipelines for analytical consumption, while also supporting low complexity web applications and process automations. With proficiency in Python, SQL, and modern web technologies, the position contributes to cross platform integrations, internal tooling, and operational enablement. The role supports consultation, adoption, and sustainability of solutions across teams.

Key Responsibilities

• Support the preparation, transformation, and maintenance of datasets used for reporting and analytics, ensuring data is reliable, well‑structured, and ready for consumption by Power BI and other tools.
• Collaborate with senior data engineers to extend pipelines, improve data quality, and integrate new sources, contributing to stable and scalable data environments.
• Develop and maintain low complexity web applications, embedded dashboards, or internal tools that improve usability and access to data solutions across teams.
• Build and support Python‑based automations and integrations that streamline processes, reduce manual effort, and enable cross‑platform data flow.
• Contribute to solution design by evaluating options, preparing prototypes, and supporting delivery alongside engineering team members.
• Provide ongoing support for stable datasets, tools, and internal applications, ensuring continuity, troubleshooting, and incremental enhancements.
• Document technical components, create user guidance, and assist with training as needed to promote sustainable adoption of solutions.
• Participate in project environments, managing tasks, risks, and stakeholder expectations with attention to timelines and data integrity.
• Communicate updates and changes in scope, timelines, or technical approaches in a clear and structured manner.

Consulted About

• How to prepare or adjust datasets for reporting or automations.
• Basic approaches for simple web tools or embedded dashboards.
• Options to automate smaller workflows using Python or APIs.
• How to connect new data sources in coordination with data engineers.

Primary internal stakeholders (key interdependencies)

• Data Engineers within the D&I team
• CI Network (including Projects, Digital, Lean, L&D and SMEs)
• Maersk IT / CEN Data Teams
• Analytical teams from other parts of the Org.

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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