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# Junior Analytics Engineer

- **Company:** SCA
- **Location:** UK
- **Experience:** Starter
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Cloud Computing, Continuous Integration, Data Architecture, Information Engineering, Github, Python (Programming Language), SQL Databases, Large Language Models, Git, Data Pipelines, Databricks
- **Published:** September 30, 2026
- **Apply:** https://www.totaljobs.com/job/junior-engineer/sca-investments-limited-t-a-gousto-job108058703

## About the Role

* 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.

## Description

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