Junior Analytics Engineer

Location: London Hybrid one day a week in the office

Were 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.

Youll work closely with our Analytics Engineers and stakeholders across the business learning how to turn business questions into reliable well-structured data models. Youll 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 youre curious about data keen to learn modern data engineering practices and excited by where AI is taking the field wed love to hear from you.
 

What youll 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 dont need to be an expert but youre 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 youre still building experience.

Additional Information :

Whether its 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 were 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 youre 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 youre worried will affect you during the interview process please let us know and we will do our best to help you feel comfortable.

Wed love it if you could submit your application online. If you require an alternative method of applying please let us know.

Remote Work :

No

Employment Type :

Full-time