Senior Data Engineer

Maersk is a global leader in integrated logistics and have been industry pioneers for over a century. Through innovation and transformation we are redefining the boundaries of possibility, continuously setting new standards for efficiency, sustainability, and excellence.

At Maersk, we believe in the power of diversity, collaboration, and continuous learning and we work hard to ensure that the people in our organisation reflect and understand the customers we exist to serve.

With over 100,000 employees across 130 countries, we work together to shape the future of global trade and logistics.

Join us as we harness cutting-edge technologies and unlock opportunities on a global scale. Together, let's sail towards a brighter, more sustainable future with Maersk.

What We offer

To work at Maersk is to work with the world. You’ll learn from – and collaborate with – skilled professionals who literally move the world, every day. With a supportive environment to develop your skills, you’ll gain access to world-class learning programmes to accelerate your career goals. And you’ll find yourself welcome in our diverse and inclusive culture, where you are valued for who you are and rewarded for what you bring.

For this and many other of our roles, we can offer the flexibility of hybrid working, alongside industry leading benefits such as pension, and family health/dental insurances as standard.

Position description

We are seeking an Azure Senior Data Engineer who has strong experience in DWH and ETL technologies on Big Data and Azure cloud and experience in real time data processing. Candidates must have strong communication skills that allow you to regularly deal with stakeholders, as well as with specialists from related fields including POs, architects, and other Engineers. They should show some proven experience in the architecture definition ensuring the scalability, reliability, and performance.

What you’ll be doing:

Facilitate data integration, data conformity, data integrity and ensure data structures are designed for flexibility to support future business needs and enhancements.

Design data warehouse models, ensuring data design follows the prescribed reference architecture framework while reflecting appropriate business rules built for logical, physical and conceptual model.

Understand the relationships across business information and units of data, Reverse engineer data from various source systems.

Collect, interpret and analyse large volumes of data across various business functions.

Develop data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality.

Transform raw data into meaningful, understandable insights using statistical tools and techniques.

Actively mentor and guide other Data Engineers, fostering a collaborative and knowledge-sharing culture within the team.

Take a lead role in defining and implementing the overall data architecture, ensuring scalability, reliability, and performance

Collaborate with different team members, including management, IT, and other stakeholders to understand data needs and deliver solutions.

To succeed in this role, we believe that you can offer:

Bachelor’s/Master’s degree in Computer Science, Information Technology, or a related field

Demonstrable experience as a Data Engineer or in a similar role.

Have experience cleansing, manipulating and analysing large datasets both structured and unstructured.

Exceptional data

Project experience using Azure cloud, data lake storage, Data factory, Spark/Databricks, Python or Java, Kafka.

Experience using tools for efficient data virtualization, exploration, and transformation tools (Dremio)

Experience in creating Batch and Realtime Data pipelines on Azure (preferentially).

Experience in performance tuning of complex ETL mappings for relational and non-relational workloads.

Advanced SQL programming, PySpark, PL/SQL or T-SQL, SparkSQL

Hands on Unix scripting or PowerShell, experience with Azure PaaS services

Hadoop Data Serialization mechanism line PARQUET, AVRO, ORC.

Hands on experience in Azure, preferably data heavy / analytics applications leveraging relational and NoSQL databases, data warehouse and big data.

This is a big moment for us – we have a clear vision for the future of global trade and there’s never been a more exciting time to take part.

Are you ready? If so, we'd love to hear from you!

Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements.

We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing .

R89678