Data Engineer

About the Role:

Key Responsibilities:

• Responsible for building and maintaining the core data warehouse that powers analytics, reporting, machine learning, and partner data products.
• Design, develop, and maintain scalable, reliable ELT/ETL pipelines across enterprise data solutions.
• Build and optimise dimensional and analytical data models to meet complex business reporting and analytics needs.
• Develop and maintain reusable data transformation logic using modern software engineering best practices.
• Implement automated data quality checks, pipeline monitoring, and testing frameworks to ensure data reliability.
• Collaborate with analysts, data scientists, product teams, and platform engineers to deliver secure, business-ready datasets.
• Monitor, troubleshoot, and optimise pipeline performance to continuously improve efficiency and operational resilience.
• Participate in code reviews and actively contribute to continuous improvements in team engineering standards.
• Produce clear documentation and foster knowledge sharing across the data engineering craft.
• What We’re Looking For:
• Essential
• Proven experience developing ELT/ETL pipelines and working with data transformation frameworks such as dbt.
• Strong SQL skills and a solid understanding of programming fundamentals in Python, SQL, or standard query languages.
• Hands-on experience using Git and CI/CD workflows.
• Strong analytical, problem-solving, and clear communication skills with a collaborative mindset.
• Degree in Computer Science, Data Science, Software Engineering, Mathematics, or equivalent practical experience.
• Solid understanding of core data concepts, including data storage, transformation, and analysis.
• Nice to Haves
• Practical experience writing Python for data engineering workloads.
• Experience working with modern cloud data warehouses, ideally Google BigQuery.
• Practical understanding of dimensional data modelling principles.
• Experience using tools in our tech stack such as Airflow, Terraform, or Grafana.
• Previous experience working within Agile delivery teams.

Benefits:

• We believe in supporting our people with meaningful, flexible benefits that prioritise well-being and work-life balance. Here’s a snapshot of what you can expect:
• Time to recharge:
• 25 days annual leave (rising to 27 after 5 years), plus the option to buy more – and 30 days a year to work from anywhere in the world.
• Health & wellbeing:
• Private Medical Insurance from your first month, wellbeing support through specialist apps and EAP, plus Income Protection and Life Assurance.
• Family-first policies:
• 22 weeks paid maternity/primary carer leave and 6 weeks paid paternity leave
• Financial support:
• Pension with employer matching up to 7%, share schemes (Sharesave & BAYE), and interest-free loans for train tickets.
• Commuter perks:
• Cycle to Work Scheme and free shuttle buses to/from Hatfield and Welwyn Garden City stations.
• Exclusive discounts:
• 15% off at Ocado.com with free delivery (starting in your first month).
• Be bold, be unique, be brilliant, be you. We are looking for individuality and we value diversity. We are an equal opportunities employer and we are committed to treating all applicants and employees fairly and equally. We are committed to making reasonable adjustments to provide a positive, barrier-free recruitment process and supportive work environment. If you have any support or access requirements, we encourage you to advise us at the time of application.
• #LI-HYBRID
• #LI-JT1

Qualifications

• Essential
• Proven experience developing ELT/ETL pipelines and working with data transformation frameworks such as dbt.
• Strong SQL skills and a solid understanding of programming fundamentals in Python, SQL, or standard query languages.
• Hands-on experience using Git and CI/CD workflows.
• Strong analytical, problem-solving, and clear communication skills with a collaborative mindset.
• Degree in Computer Science, Data Science, Software Engineering, Mathematics, or equivalent practical experience.
• Solid understanding of core data concepts, including data storage, transformation, and analysis.
• Nice to Haves
• Practical experience writing Python for data engineering workloads.
• Experience working with modern cloud data warehouses, ideally Google BigQuery.
• Practical understanding of dimensional data modelling principles.
• Experience using tools in our tech stack such as Airflow, Terraform, or Grafana.
• Previous experience working within Agile delivery teams.