Data Engineer

at  DP World

DP World, the fast-growing logistics leader that currently manages more than 10% of world trade, is seeking a Data Engineer to join our Team in Poland.
As a Data Engineer you will be responsible for designing, developing, and maintaining robust data pipelines and systems, with a focus on Databricks, machine learning, and data modelling. The ideal candidate will have a strong background in data engineering, a deep understanding of Databricks, and experience working with machine learning frameworks.
We offer the possibility to work remotely.

KEY QUALIFICATIONS & COMPETENCIES:

• 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)
• Proficient in SQL with a solid understanding of data modeling concepts and best practices
• Experience building data pipelines using orchestration tools like Azure Data Factory and Databricks workflows
• Familiarity with version control systems such as Git, GitHub, or GitLab
• Hands-on experience with machine learning frameworks (e.g., TensorFlow, PyTorch), including GenAI applications and Large Language Models (LLMs)
• Extensive experience working with cloud platforms (Azure)
• Databricks Associate Certification or Azure Data Engineer Associate(DP-203) required
• Knowledge and experience in using the MS Azure Analytics Services, especially Azure Databricks, Azure Data Factory, FiveTran as well as MS Purview
• Excellent problem-solving skills and attention to detail
• Strong communication and collaboration skillsFluent English – additional languages are a bonus, in particular German.

• Design, implement, and maintain scalable and efficient data pipelines using Databricks
• Align to the global BI Team to implement data platform / data lake solutions and workflows based on the Group cloud technology
• Collaborate with data scientists and analysts to integrate machine learning models into the data pipeline.
• Implement and optimize machine learning workflows and processes.
• Design and implement data models to support analytics and reporting requirements.
• Ensure data models are scalable, efficient, and aligned with business objectives.
• Serve as a subject matter expert on Databricks, providing guidance on best practices and optimizations.
• Work on performance tuning and optimization of Databricks clusters.
• Implement data quality checks and governance processes to ensure data accuracy and reliability.Possible business travel, mainly to Germany