Peaple Talent
Software Engineer
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Full Stack Data Engineer (data-leaning hybrid)
About the Company
Our client is the digital solutions and analytics arm of a large, multi-sector international group. The wider group spans industries including finance, automotive and steel, which gives the business genuine stability and shields it from any single-sector downturn. The team builds data-intensive applications across a broad range of client sectors, so one month you might be developing for agriculture and the next for automotive or aviation.
The Role
This is a hybrid data engineering and full-stack role within a small, close-knit team. You will own and build data-intensive applications end to end, with the centre of gravity on the data: pipelines, integration and platforms, plus the back-end services and application layer that sit on top. It suits someone early in their career who wants real breadth and ownership rather than being boxed into one layer, and who enjoys variety across projects and clients.
Please note for this role they are looking to interview asap with the view to have someone in role in the last week of September, so availability to interview at short notice and start then is preferred.
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Key Responsibilities
- Build, operate and optimise data pipelines and data platforms across a hybrid cloud environment
- Design and develop data-intensive applications, including back-end services, APIs and database integrations
- Develop and maintain databases, data warehouses and data lakes, with an eye on quality, reliability and governance
- Prepare and structure data for analytics, dashboards and AI solutions
- Take ownership of existing applications, including support, maintenance, debugging and continuous improvement
- Manage deployment pipelines, version control and CI/CD
- Collaborate with consultants, analysts, project managers and clients to turn business needs into working solutions
Essential Experience
- Strong proficiency in Python and SQL
- Working knowledge of AWS, with real comfort in AWS a strong advantage
- Hands-on data integration experience, building data pipelines and ETL or ELT processes
- Back-end development experience, including API design and database interactions
- Version control with Git
- Strong written and spoken English, and a proactive, self-motivated approach
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Desirable
- Some front-end experience, enough to find your way around a UI (React, Next.js)
- Exposure to Snowflake or Databricks
- Familiarity with dbt, Power BI or similar analytics tooling
- Awareness of machine learning, AI or agentic AI concepts
- Agile experience
- Japanese language skills are a real plus, as the team works with Japanese clients
What We Offer
- Salary of £45,000 to £60,000 depending on experience
- Allowances, bonus and pension contributions on top
- Hybrid working, two days in the office per week (Wednesdays in, second day flexible)
- London based
- Genuine multi-sector variety and strong, well-supported career progression
- The stability of a large parent group with a strong record of retention
Who This Suits
Someone roughly one to three years into their career who leans data engineer but can also handle the back-end and application layer. You will get variety, ownership early, and exposure to a modern data and AI stack, within a team that has a strong track record of developing and keeping its people.
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