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

Apply Now

Data Engineer

Harnham
Newcastle upon Tyne
5 days ago
Create job alert

Data Engineer

Join a fast-growing e-commerce technology company as a Data Engineer dealing with real-time data.

The team is small, highly technical, and product-driven, building the entire platform in-house for maximum flexibility and efficiency. You’ll be joining a company where engineers are trusted to make decisions, own their work, and directly influence the product roadmap.

The Role

My client is looking for a Data Engineer who enjoys working close to both data and backend systems. You’ll design and build pipelines that process real-time browser events, support backend product features, and play a key role in how the company scales its prediction capabilities.

This is a hands-on role with significant autonomy and impact, ideal for someone who thrives in a lean, collaborative, and fast-moving environment.

Key Responsibilities

  • Build and maintain data pipelines from event capture through to storage and analytics layers.
  • Support backend feature development that depends on data flows and insights.
  • Work closely with engineers across data, backend, and frontend to ensure smooth integrations.
  • Deploy, test, and optimise workloads in AWS without heavy reliance on managed services.
  • Contribute to decisions around architecture, scalability, and cost efficiency.
  • Take initiative in problem-solving and adapt quickly as the product evolves.

Tech Stack

  • Core language: Python (essential)
  • Cloud: AWS (flexibility with this)
  • Bonus experience:
  • Understanding of how web data is generated (browser events, JavaScript, network requests)
  • Exposure to analytical features, vector stores, or ML-driven products

What You’ll Bring

  • 2–3+ years’ experience in a Python-heavy data or backend engineering role.
  • Solid understanding of cloud-native environment.
  • A pragmatic mindset - balancing speed and sustainability in technical decisions.
  • Curiosity about how data moves across the web and how insights drive product impact.
  • Strong communication skills and comfort working independently in a small, distributed team.

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

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.

Data Engineering Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the data engineering jobs market in the UK is evolving fast. Almost every organisation is talking about AI, analytics & data-driven decision making – but behind all that sits the data engineering function. Cloud costs, complex data estates, stricter regulation & the explosion of AI workloads are all changing how data platforms are built & run. Some companies are tightening budgets & consolidating teams, while others are doubling down on modern data stacks, lakehouses & real-time pipelines. Whether you are a data engineering job seeker planning your next move, or a recruiter building data teams, understanding the key data engineering hiring trends for 2026 will help you stay ahead. This guide mirrors the structure of your AI, biotech, blockchain, cloud & cyber articles, & is written with SEO in mind for both job seekers & recruiters searching for terms like “data engineering hiring trends 2026”, “data engineering jobs in the UK”, “data engineer recruitment UK” & “modern data stack roles 2026”.

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.

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.