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For Companies At a Glance
- Tasks: Join our Data Management team to build and maintain our data warehouse.
- Company: Ocado Retail is the UK's largest online supermarket, delivering joy through unbeatable choice and service.
- Benefits: Enjoy hybrid working, private medical insurance, discounts, and 26 days holiday plus flexible bank holidays.
- Why this job: Be part of a dynamic team that drives innovation in online retail and enhances your skills.
- Qualifications: Experience with cloud data engineering, SQL, Python, and familiarity with grocery retail data is essential.
- Other info: Work in a supportive environment with opportunities for personal and professional growth.
The predicted salary is between 28800 - 48000 £ per year.
Vacancy Name
Data Engineer
Vacancy No
VN989
Job Type
Permanent
Location
Hatfield
Job Details
Data Engineer
Contract type: Permanent
Location: Hatfield (Hybrid working – 3 days in the office)
Working hours per week: 40 hours
Level: Associate
Application closing date: Thursday 31st July 2025
About us
Our mission is to deliver joy in every shop, through unbeatable choice, unrivaled service, and reassuringly good value.
We\’re Ocado Retail, a market-leading, joint venture between Ocado Group and M&S and the world\’s largest dedicated online supermarket ocado.com. Not only is Ocado.com the only place to shop a full range of M&S food online, but it\’s also the home to the widest online supermarket range in the UK and champion of small, independent brands. We\’re also the brains behind Zoom by Ocado, our same-day grocery delivery service.
About the team and the role
The Data & Insights department ensures that we keep accurate data at the heart of all of Ocado Retail\’s decision making. As a Data Engineer your skills will be essential in building and maintaining the foundations of our data solution; bringing in large quantities of data from a variety of sources, and ensuring it\’s clearly structured and documented. The data warehouse you would help manage would then be used by our Reporting team to deliver business intelligence to a wide range of stakeholders, and our Insights and Data Science teams to experiment and improve our proposition.
This Data Engineer role sits within a distributed Data Management team (offshore and onshore) of ~20. You will work through a backlog of developments to evolve our data warehouse. This includes integrating new data sources, developing data marts, analysing and resolving data quality issues and evolving our framework and practices to improve our delivery or development efficiency.
What you\’ll do
- Work as part of the Data Management team to build and maintain our data warehouse.
- Work with data users around the business to understand new requirements or issues with existing assets.
- Build ELT pipelines, sourcing data from multiple systems and propagating results into data warehouse and marts.
- Monitor, manage and resolve operational and quality issues within the data warehouse and marts.
- Manage security and information confidentiality.
- Peer QA and test deliverables.
- Support deployment and validation.
- Adhere to agreed standards and processes to ensure our work output is consistent, compliant and of high quality.
- Contribute to development of standards and processes to take advantage of rapidly evolving technologies, to improve team efficiency or work quality (e.g. with AI assistance).
- Collaborate with technical teams to integrate data scientists\’ models and business logic into production systems
Who you are
- Experience with cloud data engineering, preferably with Google Cloud Platform
- Proficient with SQL and Python
- Experience working with cloud data orchestration tools e.g. Google Cloud Composer/Apache Airflow
- Experience working with grocery retail/e-commerce data
- Experience working with change management and CI/CD tools e.g. GitLab
- Evidence of improving efficiency in a data organisation with effective automation
- Experience working with Agile or other responsive application development methods
- Able to self-direct and take on broad projects from end-to-end
- Comfortable interacting with a wide range of stakeholders and data consumers
What\’s in it for you
By joining Ocado Retail you\’ll have the chance to experience life at the world\’s largest online retailer, work with an amazing bunch of people who challenge what\’s possible each day and grow your skills and career in online retail.
If that\’s not enough to tempt you, you\’ll also get access to loads of great benefits to sweeten the deal. Here\’s a taste of what we offer:
Health & Wellbeing: Private medical insurance with option to add your family, Digital GP appointments, market leading family policies, mental health support, discounted gym memberships, dental insurance and more.
Spend & Save: Annual bonus scheme split between personal and business objectives, recognition with reward platform, up to 7% matched pension contributions, 15% Ocado discount, 20% M&S discount, free breakfast everyday in the office, electric vehicle leasing scheme and free shuttle bus from Hatfield station to the office.
Never miss the moments that matter: Hybrid working, 26 days holiday plus 8 flexible bank holidays , options to buy extra holiday, 2 weeks work from anywhere and lifestyle break opportunities.
Our Hiring Process
Lucky for us, we get loads of great applications and we really appreciate that so many people put the time and effort in to apply. To recognise that, we treat all applications respectfully and fairly. So, if yours stands out, you\’ll follow our standard hiring process – one of our Talent Partners will talk you through this in an initial call.
Everyone\’s welcome
We\’re an equal opportunities employer. That means that we make sure all potential colleagues are treated fairly and equally. If you require reasonable adjustments during the recruitment process, please let us know on the application form. #J-18808-Ljbffr
Data Engineer employer: Ocado Retail Limited
Contact Detail:
Ocado Retail Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarise yourself with Google Cloud Platform, as it's a key requirement for the Data Engineer role. Consider taking online courses or tutorials to enhance your skills and demonstrate your commitment to mastering this technology.
✨Tip Number 2
Showcase your experience with SQL and Python by working on personal projects or contributing to open-source initiatives. This will not only improve your skills but also provide tangible examples to discuss during interviews.
✨Tip Number 3
Network with professionals in the grocery retail and e-commerce sectors. Attend industry meetups or webinars to connect with potential colleagues and learn more about the challenges they face, which can help you tailor your approach when applying.
✨Tip Number 4
Prepare to discuss your experience with CI/CD tools like GitLab and how you've improved efficiency in previous roles. Be ready to share specific examples of how you've automated processes or resolved data quality issues.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with cloud platforms like Google Cloud. Emphasise your proficiency in SQL and Python, as well as any experience with data orchestration tools.
Craft a Compelling Cover Letter: In your cover letter, explain why you're interested in the Data Engineer role at Ocado Retail. Mention specific projects or experiences that demonstrate your ability to build and maintain data warehouses and resolve data quality issues.
Showcase Relevant Skills: Clearly outline your experience with Agile methodologies, CI/CD tools, and any automation improvements you've implemented in previous roles. This will show that you can contribute to the efficiency of the Data Management team.
Prepare for Technical Questions: Be ready to discuss your technical skills in detail during the interview process. Prepare examples of how you've used SQL, Python, and cloud data engineering tools in past projects, as well as how you've collaborated with stakeholders.
How to prepare for a job interview at Ocado Retail Limited
✨Showcase Your Technical Skills
As a Data Engineer, you'll need to demonstrate your proficiency in SQL and Python. Be prepared to discuss specific projects where you've used these skills, and consider bringing examples of your work or code snippets to showcase your expertise.
✨Understand the Business Context
Familiarise yourself with Ocado Retail's operations and how data impacts decision-making. Being able to articulate how your role as a Data Engineer contributes to the overall business strategy will impress your interviewers.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities, especially regarding data quality issues or integrating new data sources. Think of past experiences where you successfully navigated similar challenges and be ready to share those stories.
✨Emphasise Collaboration and Communication
Since the role involves working with various stakeholders, highlight your experience in collaborating with different teams. Discuss how you've effectively communicated technical concepts to non-technical audiences in previous roles.
