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 organisation that builds products in the areas of predictive science (forecasting, customer and market analytics), optimization and IoT. This position offers the opportunity to take innovative ideas and turn them into our future.
Through Digital Transformation we identify, define and implement the mix of process, technology and culture that brings business, development and operation teams closer, allowing Maersk to deliver products faster, improve responsiveness and enhance quality for our consumers.
• We are a very diverse team with colleagues having many different backgrounds and from many different cultures
• 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
• Designing, implementing, deploying, and maintenance of customer-facing analytics products.
• Converting prototype code and specifications of models into deployable production-grade software.
• Encouraging and advising on good practice in building reliable, scalable applications.
• Collaboration with data science and analytics teams on efficient implementation of statistical models and algorithmic solutions to optimisation and other problems within the shipping industry.
• Collaboration with IT teams on design and implementation of efficient solutions for storing and querying a wide variety of operational data.
• Collaboration with front-end developers on providing effective, intuitive, elegant customer-facing web-based interfaces.
• Collaboration with DevOps teams on testing, continuous integration and deployment, and monitoring of developed software.
• Advisory role to product teams on design and architecture of software applications, libraries, and components.
• Timely and responsible delivery of solid, dependable products with potential for high impact on the corporate business.
• Support the Head of Software Engineering to build the team by participating in the recruitment process.
• At least 5+ years of experience with development of successful products in the industry.
• Expertise in at least one compiled programming language (C/C++, Java, Scala, C#, rust, go, haskell, etc) and its development ecosystem (compilers, build tools, testing, logging, debugging, monitoring tools, libraries, etc).
• Expertise in at least one scripting programming language (python, perl, ruby, lua) and its development ecosystem (as above), with focus on libraries for data science, statistics, machine learning, etc.
• Expertise in portable POSIX shell scripting (bash, GNU coreutils).
• Good familiarity with DBMS-related development: proficiency with SQL, experience working with DBAs.
• Good familiarity with web server applications, web protocols, authentication, authorisation.
• Experience with designing microservice architectures, APIs (REST, other), scaling web sites, performance tuning.
• Familiarity with building customer-facing UIs (not a frontend developer role).
• Strong focus on iterative, short step delivery.
• Experience with designing, building, and monitoring cloud-based architectures, deployment to major cloud provider services (AWS, GC, ideally at least basic familiarity with Azure).
• Masters’ Degree in Computer Science, Computer Engineering, or equivalent.
• Proven algorithmic problem-solving skills.
• Exposure to data science or analytics work, ideally in a mixed-competence team, familiarity with a data science-related programming environment (R, scipy, matlab, mathematica).
• Experience in building and monitoring distributed systems with shared memory and/or message passing concurrency.
• Good social skills, ability to collaborate with people of different personalities and ways of working.