Databricks Data Engineer

Requirements

Must have:

- Strong experience in DBT modelling - Advanced proficiency in Python or Scala, with a solid grasp of software engineering fundamentals.

• Proven ability to design, deploy, and scale production-grade data platforms and backend systems.
• Familiarity with data governance frameworks, privacy compliance, and automated data quality checks.
• Hands-on experience with big data tools (Airflow, Databricks) and data observability platforms.
• Collaborative mindset and experience working with cross-functional teams including machine learning and analytics specialists.
• Curiosity and enthusiasm for continuous learning - you stay up to date with the latest tools and trends in data engineering and love sharing knowledge with others.

Responsibilities:

- Model complex data sets using DBT - Build and maintain scalable backend systems in Python or Scala, following clean code and testing principles.

• Develop tools and frameworks for data governance, privacy, and quality monitoring, ensuring full compliance with data protection standards.
• Create resilient data workflows and automation within Databricks and other modern big data ecosystems.
• Contribute to an engineering culture that values testing, peer reviews, and automation-first principles.

Company:

We are partnering with a leading online retail company thats transforming the way data and real-time intelligence shape customer experiences. Our mission is to harness cutting-edge data and streaming technologies to drive smarter decisions, improve efficiency, and create personalised journeys for millions of shoppers worldwide. This is an exciting opportunity for a Senior Data Engineer to join our team, building and optimising the backbone of our data platform.