Software Engineer

Peaple Talent; Harrow; Hybrid; GBP 45,000 - 60,000; Full time

Benefits offered by this job

Hybrid working

Salary £45k-£60k

Pension contributions

Career progression

Job summary

Peaple Talent is seeking a Full Stack Data Engineer for a data-leaning hybrid role. You will own data-intensive applications from pipelines to backend services, working across clients with a focus on data, integration and platforms.

The role suits someone early in their career who wants breadth across data engineering, backend, and UI layers, with variety across projects and clients and strong data/AI stack exposure.

Qualifications

• Strong proficiency in Python and SQL.
• Working knowledge of AWS is advantageous.
• Hands-on data integration with ETL/ELT pipelines.
• Backend development experience including API design.
• Version control with Git.
• Excellent written and spoken English.

Responsibilities

• Build, operate and optimise data pipelines and data platforms in a hybrid cloud environment.
• Design and develop data-intensive applications including back-end services and APIs.
• Develop and maintain databases, data warehouses and data lakes with governance.
• Prepare data for analytics, dashboards and AI solutions.
• Own existing applications including support and continuous improvement.
• Manage deployment pipelines, version control and CI/CD.
• Collaborate with consultants, analysts, project managers and clients to turn business needs into solutions.

Skills

Python

SQL

AWS

Data pipelines

Back-end development

Git

English

Tools

Snowflake

Databricks

dbt

Power BI

React/Next.js

Job description

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.

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

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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