Data Engineer

We Offer

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 the strong enterprise architecture, build effective data pipelines based on ADLS and providing End to End support on Decarbonization projects. In this position, you will play an important role on developing, maintaining and improving complex algorithms from multiple systems / databases for vessel / Fleet emissions and performance monitoring. You will be working in dynamic work environment with shifting priorities between Operational and Project related work.

Key Responsibilities

As a Data Engineer, your assignments and projects will typically include:

• Develop algorithms / scripts for Emission and Bunker Performance Monitoring and Optimization of Maersk Fleet.

• Maintenance of 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.

• Driving deep dive analysis into decarbonization and emission related data

• Bringing forward innovative ideas on how the performance data in our systems along with other Maersk’s systems can support optimization of our fleet.

• Handle ad-hoc data request 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 Decarbonization Management team and other departments across Maersk Line through regular meetings/conference calls.

Who we are looking for

• We are looking for a candidate with 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 of delivering end to end BI solutions, Strong knowledge of SQL / NoSQL databases.

• Experience developing batch / real-time processing solutions by 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.

• As a person, you are an independent, systematic and detail oriented, with a positive and pro-active mind-set towards new tasks, but also comfortable with tasks of a repeatable nature.

• You are open and willing to take on new learnings, which are outside your comfort zone.

• You must be an enthusiastic and motivated team player, who understands that a strong team performance achieves the highest goals.

• You have effective English communication and stakeholder management skills.

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.