Take this opportunity and apply for Data Analytics Expert and join DP Worlds Data and Analytics Team in Germany. You will be responsible for designing, developing, maintaining robust data pipelines and systems and optimizing end-to-end data solutions, with a focus on Databricks, machine learning, and data modelling This role is a remote role within Germany but requires travel from time to time.
How you will contribute
- You will work alongside the Logistics Pillar and DP World regional operations to drive change within Group Technology.
- You will work primarily alongside Operations Excellence as well as other functions including Operations, Finance, HR, Sales, and Procurement as needed.
- You will work to support leaders on performance for your BU.
- You will work closely within the senior IT shared services leadership team (Applications, Governance, Transformation, Backoffice) to ensure collaboration and alignment with solutions and services
- You will work closely with Group Technology Head Office on the execution of strategic initiatives
- You will maintain good relationship with procurement and finance to support DP World policies and processes
- You will support Group Compliance, Group People, Legal in support of DP World policies and legal requirements in DP World business region.
- You will maintain open communication with all key IT and business leaders to ensure top level IT service delivery
What you will bring
- Bachelor's / Master’s degree in Computer Science, Engineering, or a related field.
- Proven experience as a Data Engineer with a focus on Databricks and machine learning.
- Strong proficiency in programming languages such as Python or Scala(Pyspark preferred).
- Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries.
- Solid understanding of data modelling concepts and best practices.
- Hands-on experience with cloud platforms (Azure).
- Excellent problem-solving skills and attention to detail.
- Effective communication and collaboration skills.
- Databricks Associate Certification required.
- Experience with big data processing frameworks (e.g., Apache Spark).
- Knowledge and experience in using the MS Azure Analytics Services, especially Azure Databricks, Azure Data Factory as well as MS Purview
- Power BI knowledge preferred.
- Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
About DP World
Trade is the lifeblood of the global economy, creating opportunities and improving the quality of life for millions of people around the world. DP World is here to make trade flow better, changing what’s possible for the customers and communities we serve globally. With more than 106,500 employees across 73 countries, we are pushing trade further and faster towards a seamless supply chain that’s fit for the future. By integrating our physical infrastructure with cutting-edge technology, we create efficient end-to-end solutions, pushing the sector towards better ways to trade, minimising disruptions from the factory floor to the customer’s door.
We’re rapidly transforming and integrating our businesses - Ports and Terminals, Economic Zones, Marine Services, Logistics and Technology – and uniting our global infrastructure with local expertise to create stronger, more efficient end-to-end supply chain solutions that can change the way the world trades.
The DP World family comprises of syncreon, Imperial and P&O.
DP World is committed to the principles of Equal Employment Opportunity (EEO). We strongly believe that employing a diverse workforce is central to our success and we make recruiting decisions based on your experience and skills. We believe that employees are happiest when they’re empowered to be their true, authentic selves. So, please come as you are. We can’t wait to meet you.
By submitting your resume and application information, you authorize DP World to transmit and store your information in the world-wide recruitment database, and to circulate that information as necessary for the purpose of evaluating your qualifications for this or other job vacancies.
