Maersk Line Automation Hiring for Data Engineer | Maersk Line Automation Recruitment Drive |

Job Summary:

Maersk Line Fleet Management and Technology is responsible for Ship Management of Maersk Line owned container vessels. As a part of the Decarbonization Data & Insights team, you will be responsible for developing a strong enterprise architecture, building effective data pipelines based on ADLS, and providing end-to-end support on Decarbonization projects. In this position, you will play an important role in developing, maintaining, and improving complex algorithms from multiple systems/databases for vessel/Fleet emissions and performance monitoring. You will be working in a dynamic work environment with shifting priorities between Operational and Project related work.

Key Responsibilities:

• Develop algorithms/scripts for Emission and Bunker Performance Monitoring and Optimization of Maersk Fleet.
• Maintain existing Emission and Bunker Performance monitoring algorithms/scripts, including debugging and improvements.
• Support existing in-house applications and develop new applications to support Maersk’s strategic savings target.
• Manage data from multiple systems, including Azure systems, to enable and facilitate Subject Matter Experts to deliver Projects.
• Drive deep dive analysis into decarbonization and emission-related data.
• Bring forward innovative ideas on how the performance data in our systems, along with other Maersk systems, can support optimization of our fleet.
• Handle ad-hoc data requests from various stakeholders.
• Assist and participate in exploring programming languages such as Python and R for handling big data sets received from Star Connect – Maersk’s auto-logging performance system.
• Ensure strong stakeholder management with the Decarbonization Management team and other departments across Maersk Line through regular meetings/conference calls.

Who We Are Looking For:

• 3 – 6 years of industry data engineering experience, ideally in an analytics-intensive environment with working experience using BI tools/Big data solutions on MS Azure cloud (Spark/PySpark/Spark SQL/Scala).
• Experience delivering end-to-end BI solutions, strong knowledge of SQL/NoSQL databases.
• Experience developing batch/real-time processing solutions using Azure Data Factory, Azure Databricks, and Azure Data Lake source.
• Experience in working with code versioning tools with ADO GIT repositories, CI/CD pipelines.
• Inclination towards deep dive analysis and adding value with critical insights.
• Exposure to Data science-related programming environments like R and Python.
• Independent, systematic, and detail-oriented, with a positive and proactive mindset towards new tasks but also comfortable with tasks of a repeatable nature.
• Open and willing to take on new learnings, which are outside your comfort zone.
• Enthusiastic and motivated team player, who understands that a strong team performance achieves the highest goals.
• Effective English communication and stakeholder management skills.

EOE Statement:

Maersk is committed to a diverse and inclusive workplace and embraces different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, color, 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.

Application Information:

We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or accommodation to use our website, apply for a position, or perform a job, please contact us by emailing accommodationrequests@maersk.com.