The Digital team at Maersk offers a unique opportunity to leverage technology to impact global trade via the largest container shipping company in the world.
We operate in a fast-paced environment utilizing modern technologies and bias toward action. We are agile, value outcomes, and are passionate about using technology to solve problems.
• We are a very diverse team with colleagues having many different backgrounds and from many different cultures
• We are operating in a working environment of a small software company combined with the benefits of a large enterprise
• We offer freedom to influence and shape the setup and the processes we use
• We offer possibilities to attend conferences, workshops and meetups
At Maersk, we focus on the individual’s development and the right candidate will have broad possibilities to further develop competencies in an environment characterised by change and continuous progress
At Maersk we value the diversity of our talent and will always strive to recruit the best person for the job – we value diversity in all its forms, including but not limited to: gender, age, nationality, race, sexual orientation, disability or religious beliefs. We are proud of our diversity and see it as a genuine source of strength for building high performing teams.
• Design, architect and support new and existing data and ETL pipelines and recommend improvements and modifications.
• Analyse, debug and correct issues with data pipelines.
• Work with data and analytics experts to strive for greater functionality in our data systems.
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing data pipeline for greater scalability, etc.
• Build analytics reports that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
We are looking for
• You have hands-on experience with any of the cloud provider (AWS or Azure or Google Cloud).
• You have lots of experience writing complex SQL and Python.
• Experience with object-oriented/object function scripting languages: Python, Java, Scala.
Nice To Have
• You have knowledge of Apache Hadoop, Spark streaming, Kafka, Scala and similar technology stacks.
• Enthusiasm for machine learning.