Data Engineer

Are you an engineer comfortable working with a wide range of data technologies and platforms? Do you understand the day-to-day obstacles to effective data science and software development work? This is an opportunity to join Maersk's Global data analytics as a 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 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 working across wide range of data technologies and platforms (Hadoop, map reduce, Spark, SQL and NoSQL, job orchestration tools, cloud tech, programming in scala and python is a strong plus) and understand the challenges in working with large and complex data ecosystems. 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 4+ years of industry data engineering experience, ideally in an Data Engineering intensive environment.
• You possess a bachelor s degree in computer science (or equivalent experience).
• You have deep experience leveraging PaaS & IaaS technologies in cloud platforms, preferably Azure. Excellent track record of delivery through data technologies (SQL, Spark) and languages like Python, R, Java, Scala.
• Extensive experience in building Big data solutions on MS Azure cloud (Spark / PySpark / Spark SQL / Scala).
• Minimum 4 years of working experience in MS Azure PaaS Services - Data Bricks, Data Factory, & Analysis Service.
• Exceptional in data analysis & data modelling.
• Hands-on experience in Agile software development. Must be able to work collaboratively with scrum team.
• Fluent proficiency in both written and oral English
• Experience in performance tuning of complex ETL mappings for relational and non-relational workloads

Good to Have

• Hands-on experience with DevOps - building CI/CD pipelines and code deployments.
• Hands-on experience using BI tools (Power BI/AAS)
• Having with basic data science experience in building regression models, using classification techniques and conducting driver analyses.

Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking.

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