Junior Analytics Engineer

Full-time Employee Type: FTE - Full Time Division: Data

Company Description

Here at Gousto, we are on a mission to become the UK's most loved way to eat dinner, and for every meal to leave the planet better off. Gousto is changing how people shop, cook and eat food at home. It's an incredibly exciting time to join our team - and we're a friendly bunch! We're proud to be one of the fastest-growing companies in the UK. Powered by data and a love of food, we're a recipe box company that's disrupting the sector, and we're passionate about our diverse team and our customers. All of our people are responsible for the success of Gousto, and we're passionate about creating an inclusive environment for all to thrive. Our guiding values - Dream, Deliver and Care - show our commitment to innovation, our ambition to hit goals at speed, and our deep respect for the people we work with.

Job Description

Location: London, Hybrid – one day a week in the office We're looking for a Junior Analytics Engineer to join our Analytics team and help build the data foundations that power decisions across Gousto. This is a brilliant opportunity for someone at the start of their analytics engineering career to learn from experienced engineers while getting hands-on with real data models, pipelines and tools like dbt and Databricks in a modern cloud environment. You'll work closely with our Analytics Engineers and stakeholders across the business, learning how to turn business questions into reliable, well-structured data models. You'll be supported and mentored as you grow your skills, while also getting the chance to explore newer capabilities – including how semantic layers and AI/agentic tools can help teams query and interact with data in more intuitive ways. If you're curious about data, keen to learn modern data engineering practices, and excited by where AI is taking the field, we'd love to hear from you.

What you'll do Learn the data: Build a strong understanding of our data, with support from senior engineers. Support stakeholders: Help teams across the business translate their questions into practical, data-driven solutions, working alongside more experienced colleagues. Help maintain data pipelines: Support the development and upkeep of data ingestion pipelines, learning good practice around automation, reliability and handling large or complex datasets. Build data models: Contribute to building and maintaining data models and dashboards, learning how to translate business requirements into clean, well-structured data. Support analytics engineering practices: Get hands-on with dbt workflows, Git, GitHub and CI/CD pipelines, and help keep our analytics engineering practices scalable and reliable. Collaborate with product teams: Work with cross-functional squads to understand their data needs and help improve the quality and accessibility of the data they rely on. Semantic modelling: Make use of semantic models to enable self-service through agents and LLMs Who you are Early analytics or data experience: Some experience with SQL and data analysis (through a role, project, placement or degree), with an eagerness to develop your skills further. Curious about the tools: An interest in technologies such as SQL, Python, dbt, Databricks and cloud platforms (AWS, GCP or Azure) – you don't need to be an expert, but you're keen to learn. Open to AI and agentic workflows: A genuine interest in how AI and agentic tools are changing data work, and enthusiasm for exploring how these can be used to help build smarter data architecture and workflows. Good communicator: Able to explain your thinking clearly to both technical and non-technical colleagues. Proactive and keen to learn: A self-starter mindset, comfortable asking questions, seeking feedback and learning from more experienced teammates. Organised: Able to manage your workload and priorities, even as you're still building experience.

Additional Information

Whether it’s creating diversity in our recipes or building new teams, we care about our people and the opportunities they have at Gousto. Across our business we lead with inclusivity and strive for equality in all we do; working hard to ensure Gousto is an environment where you can be totally yourself. Everyone is welcome and we’re looking for applications from people of all backgrounds and experiences. Excited but wondering if you tick every box? We recommend applying anyway so that we can review your profile. And, if you’re in a job share, why not just apply as a pair. For our roles outside of Operations, most of our people spend 1 or 2 days in our offices every week, combining the benefits of flexibility and time together with colleagues. We want to enable you to do your best work, and if you require additional flexibility, please talk to us about it. If you have a disability that you’re worried will affect you during the interview process, please let us know and we will do our best to help you feel comfortable. We’d love it if you could submit your application online. If you require an alternative method of applying, please let us know.

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