Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Software Engineer

City of London
6 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer - Python, SQL, Databricks

Data Engineer

AWS Data Engineer

Lead Data Engineer

Software Engineer (Permanent) - Location: Central London

Salary: Up to £90K + excellent benefits

We're looking for a talented Software Engineer with 2-4 years Python experience to join a fast-growing business at the forefront of Science and Technology. This company is doing incredible work in the life sciences sector, with teams focused on creating accessible AI algorithms specifically designed for drug discovery and related challenges.

In this role, you'll design, develop, and maintain software systems that address real-world problems in AI and drug discovery. You'll have the chance to make a real impact, helping shape the company's technological foundations from the ground up.

Working in an interdisciplinary environment-spanning physics, chemistry, biology, and machine learning-you'll continuously grow your skills while contributing to meaningful innovation.

What We're Looking For:

2-4 years of hands-on software development experience
Backend experience
A passion for software engineering and continuous improvement
Proficiency in one or more programming languages (especially Python; other useful languages include Java, C++, or Go)
Strong knowledge of data structures, algorithms, and system design
Experience with distributed systems, APIs, and/or cloud platforms (e.g., AWS, GCP)
Comfortable working with both SQL and NoSQL databases
Experience in an Agile development environment
Degree (BSc, MSc, or PhD) in Computer Science, Engineering, or a related field
Bonus points for knowledge in machine learning, AI, data engineering, or DevOps/containerizationGCS is acting as an Employment Agency in relation to this vacancy

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.

Jobs

Data Engineering Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data engineering hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise reliable pipelines, modern lakehouse/streaming stacks, data contracts & governance, observability, performance/cost discipline & measurable business outcomes. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for platform‑oriented DEs, analytics engineers, streaming specialists, data reliability engineers, DEs supporting AI/ML platforms & data product managers. Who this is for: Data engineers, analytics engineers, streaming engineers, data reliability/SRE, data platform engineers, data product owners, ML/feature‑store engineers & SQL/ELT specialists targeting roles in the UK.

Jobs

Why Data Engineering Careers in the UK Are Becoming More Multidisciplinary

For many years, data engineering in the UK meant designing pipelines, moving data between systems, and ensuring analysts had what they needed. Today, the field is expanding. With cloud platforms, machine learning, real-time analytics and the explosion of sensitive personal data, employers expect data engineers to do much more. Modern data engineering is no longer just about code and storage. It requires legal awareness, ethical judgement, psychological insight, linguistic clarity and human-centred design. These disciplines shape how data is collected, processed, explained and trusted. In this article, we’ll explore why data engineering careers in the UK are becoming more multidisciplinary, how law, ethics, psychology, linguistics & design now influence job descriptions, and what job-seekers & employers must do to thrive.

Jobs

Data Engineering Team Structures Explained: Who Does What in a Modern Data Engineering Department

Data has become the lifeblood of modern organisations. Every sector in the UK—finance, healthcare, retail, government, technology—is increasingly relying on insights derived from data to drive decisions, deliver products, and improve operations. But raw data on its own isn’t enough. To make data useful, reliable, secure, and scalable, companies must build strong data engineering teams. If you’re recruiting for data engineering or seeking a role, understanding the structure of such a team and who does what is essential. This article breaks down the typical roles in a modern data engineering department, how they collaborate, required skills and qualifications, expected UK salaries, common challenges, and advice on structuring and growing a data engineering team.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.