Data Engineer
ocadogroup · Hatfield
What this role requires
3 requirements, read out of the advert rather than guessed from the job title:
Also mentioned, not required: data modeling, data transformation, agile. Worth having, but their absence is not what gets a CV filtered out.
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Job description
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Data Engineer (Modelling & Transformation)| Hybrid Working | Hatfield
Introduction:
We are Ocado Group, and we're bringing world-class automation to online grocery. Our Ocado Smart Platform (OSP) combines cutting-edge robotics, AI, and IoT within our advanced CFCs (Customer Fulfilment Centres). We've mastered the single pick, transforming online delivery for our global partners. Join us and be part of a team pushing the boundaries of retail technology.
About the Role:
As a Data Engineer within our Data Engineering Modelling and Transformation team, you will be directly responsible for building and maintaining the foundational data warehouse that powers analytics, reporting, machine learning, and partner data products across Ocado Technology <sup class="superscript"></sup> . In this role, you will transform raw operational data into trusted, governed, and business-ready datasets that drive strategic and operational decision-making across the entire organisation <sup class="superscript"></sup> .
Read the full description (43 more sections)Show less
Working in an agile environment, you will collaborate closely with data scientists, analysts, product owners, and platform engineers to deliver high-quality data feeds and scalable transformation frameworks <sup class="superscript"></sup> . You will focus on designing reliable ELT/ETL pipelines, establishing rigorous data quality controls, and optimizing performance across our cloud data warehouse infrastructure to ensure seamless downstream data delivery for all enterprise consumers <sup class="superscript"></sup> .
Key Responsibilities:
Responsible for building and maintaining the core data warehouse that powers analytics, reporting, machine learning, and partner data products <sup class="superscript"></sup> .
Design, develop, and maintain scalable, reliable ELT/ETL pipelines across enterprise data solutions <sup class="superscript"></sup> .
Build and optimise dimensional and analytical data models to meet complex business reporting and analytics needs <sup class="superscript"></sup> .
Develop and maintain reusable data transformation logic using modern software engineering best practices <sup class="superscript"></sup> .
Implement automated data quality checks, pipeline monitoring, and testing frameworks to ensure data reliability <sup class="superscript"></sup> .
Collaborate with analysts, data scientists, product teams, and platform engineers to deliver secure, business-ready datasets <sup class="superscript"></sup> .
Monitor, troubleshoot, and optimise pipeline performance to continuously improve efficiency and operational resilience <sup class="superscript"></sup> .
Participate in code reviews and actively contribute to continuous improvements in team engineering standards <sup class="superscript"></sup> .
Produce clear documentation and foster knowledge sharing across the data engineering craft <sup class="superscript"></sup> .
What We’re Looking For:
Essential
Proven experience developing ELT/ETL pipelines and working with data transformation frameworks such as dbt <sup class="superscript"></sup> .
Strong SQL skills and a solid understanding of programming fundamentals in Python, SQL, or standard query languages <sup class="superscript"></sup> .
Hands-on experience using Git and CI/CD workflows <sup class="superscript"></sup> .
Strong analytical, problem-solving, and clear communication skills with a collaborative mindset <sup class="superscript"></sup> .
Degree in Computer Science, Data Science, Software Engineering, Mathematics, or equivalent practical experience <sup class="superscript"></sup> .
Solid understanding of core data concepts, including data storage, transformation, and analysis <sup class="superscript"></sup> .
Nice to Haves
Practical experience writing Python for data engineering workloads <sup class="superscript"></sup> .
Experience working with modern cloud data warehouses, ideally Google BigQuery <sup class="superscript"></sup> .
Practical understanding of dimensional data modelling principles <sup class="superscript"></sup> .
Experience using tools in our tech stack such as Airflow, Terraform, or Grafana <sup class="superscript"></sup> .
Previous experience working within Agile delivery teams <sup class="superscript"></sup> .
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).<sup class="superscript" data-turn-source-index="1"></sup>
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. <sup class="superscript" data-turn-source-index="2"></sup> 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.
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