A.P. Moller - Maersk
A.P. Moller - Maersk is an integrated transport and logistics company; going all the way, together, for our customers and society. ALL THE WAY is our commitment to connect the world so that everyone has both the possibility and the ability to trade, grow and thrive.The company employs roughly 110.000 employees across operations in 130 countries.
Container Shipping • Container Terminals • Retail • Manufacturing • Offshore
10,000+ employees
Senior Software Engineer - Python - PySpark - Data Engineer - Energy Transition
October 12, 2024
A.P. Moller - Maersk
A.P. Moller - Maersk is an integrated transport and logistics company; going all the way, together, for our customers and society. ALL THE WAY is our commitment to connect the world so that everyone has both the possibility and the ability to trade, grow and thrive.The company employs roughly 110.000 employees across operations in 130 countries.
Container Shipping • Container Terminals • Retail • Manufacturing • Offshore
10,000+ employees
📋 Description
• Our Energy Transition technology team is at the heart of this work, using Advanced Technology and Development Techniques to rapidly develop and continuously deploy the systems we need to identify, track and reduce our emissions. • This is a greenfield build, and our intent is to build a system that can rapidly make a difference now and that will still be relevant in 2040 and beyond. • We run a continuous delivery pipeline which is currently deploying to production 20-30 times a day and the ability to work with our advanced development techniques is an essential part of the role. • As a member of our team, you will pair daily with other software engineers using Extreme Programming (XP) methodologies, such as pair programming, test-driven development, and continuous integration and delivery.
🎯 Requirements
• Have experience in the technologies we are using, ideally Python, PySpark, Great Expectations and Data Plane/ Pipe Dream. • Knowledge of functional programming in particular Elixir or aligned languages such as Erlang or Ruby is beneficial. • Have knowledge of extreme programming practices/ values such as pair programming. • A Commitment to Test Driven Design is essential. • Have relevant domain knowledge such as logistics, financial services, or energy. • We are particularly interested in experience of quantitative modelling, energy trading and oil/ liquids/ green fuel commodities markets.
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