National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Python Developer, Backend Developer, Flask

London
3 weeks ago
Create job alert

£70-90k + Benefits
2 days on site in North London
3 days remote
I am recruting for a talented and driven Backend Engineer to join a dynamic team, focused on the creation and deployment of innovative software solutions. As a Backend Engineer, you will work closely with cross-functional teams, including engineering, product management, design, and quality assurance, to develop cutting-edge features that power our platform.

Key Responsibilities:

Collaborate with cross-functional teams: Contribute to the development of new features by working alongside engineering, product management, design, and QA teams.

Promote best practices: Advocate and enforce coding standards, architectural patterns, and best practices. Your in-depth knowledge of backend technologies will help guide and support your peers, ensuring high-quality code.

Automation and process improvement: Increase development efficiency, reliability, and scalability by creating automated processes that streamline workflows.

Foster engineering excellence: Promote engineering best practices across the team and inspire your peers to improve their skills and capabilities.

Knowledge sharing: Actively engage with the engineering community, contributing to knowledge-sharing initiatives and events. Share your expertise to motivate and mentor your team.

Required Skills:

Proven experience designing and building REST APIs (ideally with Flask, FastAPI, or similar frameworks).

Expertise in designing architectures that meet scalability, reliability, and security goals.

Strong problem-solving skills, particularly in product development.

Solid understanding of backend best practices, coding standards, and architectural patterns.

Experience in automating builds (CI/CD), feature flags, and automated testing.

Bonus Skills:

Experience with message-driven systems (e.g., Google Pub/Sub).

Proficiency in relational databases (RDBMS), particularly with Postgres.

Familiarity with NoSQL databases (document store/key-value store) is a plus.

Experience with containerization technologies (Docker, Kubernetes).

Hands-on experience with Google Cloud Platform (GCP) and configuration management (ideally using Terraform).

Familiarity with Google Cloud Build for CI/CD actions, deployments, and builds.

People Source Consulting Ltd is acting as an Employment Agency in relation to this vacancy. People Source specialise in technology recruitment across niche markets including Information Technology, Digital TV, Digital Marketing, Project and Programme Management, SAP, Digital and Consumer Electronics, Air Traffic Management, Management Consultancy, Business Intelligence, Manufacturing, Telecoms, Public Sector, Healthcare, Finance and Oil & Gas

Related Jobs

View all jobs

Full Stack Developer

Senior Python Developer

Software Engineer

Senior Python Engineer

Senior .Net Developer

Senior Developer

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Present Data Engineering Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

As the demand for data engineers grows, so do the expectations. It’s not enough to build robust pipelines or optimise ETL jobs—UK employers now look for candidates who can also communicate clearly with stakeholders, especially those without technical backgrounds. Whether you're applying for a data engineering role in finance, healthcare, retail, or tech, your ability to explain complex systems in plain English is becoming one of the most valued soft skills in interviews and in the workplace. This guide will help you master public speaking for data engineering roles: from structuring your presentation and designing effective visuals, to simplifying terminology, storytelling and confidently answering stakeholder questions.

Data Engineering Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data engineering teams. Driven by the UK’s Digital Economy Strategy, the AI & GenAI boom, cheaper cloud storage and a squeeze on legacy batch pipelines, data engineering hiring is in overdrive for 2025. Employers from hyperscale tech firms to NHS trusts want lake‑house architects, streaming‑platform specialists, ETL developers, MLOps pipeline gurus, analytics engineers & FinOps‑savvy cost guardians—right now. Below you’ll find 50 organisations that posted UK‑based data engineering vacancies or announced head‑count growth in the last eight weeks. They’re grouped into five easy‑scan categories. For each company you’ll see its main UK hub, an example live or recent vacancy, and a quick reason it’s worth your time. Search any employer on DataEngineeringJobs.co.uk to view current ads, or set a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Engineering Career with Returnships, Flexible & Hybrid Roles

Re-entering the workforce after a career break can feel like stepping into a rapidly shifting data pipeline—especially in a specialist field like data engineering. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data engineering sector now offers a variety of return-to-work pathways. From structured returnships to flexible, hybrid and full-time roles, these programmes recognise the value of your transferable skills and life experience. With tailored mentorship, targeted upskilling and supportive networks, you can confidently relaunch your data engineering career. In this guide, you’ll learn how to: Understand the current demand for data engineers in the UK Leverage your organisational, communication and problem-solving skills in data contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data engineering Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your relaunch with caring responsibilities Master applications, interviews and networking specific to data engineering Draw inspiration from real returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data pipeline developer, ETL specialist, big-data architect or analytics engineer, this article maps out the steps and resources you need to reignite your data engineering career.