Senior Data Engineer

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Opportunity


Are you an engineer comfortable working with huge datasets converting them to insights and advanced data products? This is an opportunity to join Maersk's Global data analytics as a Senior Data Engineer and drive digital transformation at a globally respected, industry leading brand

We offer:

Maersk, the world's largest shipping company, is transforming into an industrial digital giant that enables global trade with its land, sea and port assets. We are the digital and software development organization that builds products in the areas of predictive science (forecasting, customer and market analytics), optimization and IoT. This position offers the opportunity to build your engineering career in a data and analytics intensive environment, delivering work that has direct and significant impact on the success of our company.

Global data analytics delivers internal apps to grow revenue and optimize costs across Maersk's Transport & Logistics companies. We practice agile development in teams empowered to deliver products end-to-end, for which data and analytics are crucial assets. This is an extremely exciting time to join a fast paced, growing and dynamic team that solves some of the toughest problems in the industry and builds the future of trade & logistics. We are an open-minded, friendly and supportive group who strive for excellence together

A.P. Moller - Maersk maintains a strong focus on career development, and strong team members regularly have broad possibilities to expand their skill set and impact in an environment characterized by change and continuous progress

Key Responsibilities:

As a Senior Data Engineer, you will embed directly into product delivery teams, exerting direction on development and technical execution. The products we build directly impact our business, and with strong support from your fellow team members, together you will drive digital transformation at one of the largest companies in the world.

You should be comfortable in the challenge in working with large and complex data ecosystems and understand the end-to-end process from data sourcing to exposing the data to the end user as self-service analytics, dashboard or bespoke applications. You will be working directly with product managers, data scientists and developers to ship products, and you will need to be as excited about reaching across into adjacent domains as they are about curating and parsing the business meaning of data.

Your responsibilities will be to:

  • Represent the data engineering function within the context of your product team, providing accurate technical choices and communication around our data and analytical needs
  • Provide contributions to the technological foundation upon which Maersk’s next generation of digital products will be built
  • Deliver work within a high-impact team while fostering a collaborative and inclusive environment

Who are we looking for:

  • More than 5 years of industry data engineering experience, ideally in an analytics intensive environment
  • You possess a bachelor’s or master’s degree in computer science (or equivalent experience). The ideal person will possess an advanced degree with a focus on distributed systems or cloud technologies
  • Excellent track record of delivering data solutions using Spark technologies
  • Experience leveraging PaaS & IaaS technologies in cloud platforms (Azure , AWS, GCP)
  • Work with other product engineering teams to ensure a consistent software ecosystem.
  • Assist in architectural design and make decisions around technology and implementation decisions.
  • Excellent collaboration and communication skills (written and oral)


Information og data

Denne ledige stilling har jobtypen "Data Manager", og befinder sig i kategorien "Informationsteknologi".

Jobbet er oprettet på vores service den 15.10.2022, men kan have været deaktiveret og genaktiveret igen.

Dagligt opdateret: Dette job opdateres dagligt ud fra jobudbyderens hjemmeside via vores søgemaskineteknologi og er aktivt lige nu.
  • Data Manager

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