Data Engineer

Matchtech

Harlow, United Kingdom

Today

£40,000 – £70,000 pa

Salary

£40,000 – £70,000 pa

Job Type: Permanent
Work Pattern: Full-time
Work Location: Hybrid
Seniority: Mid
Education: Degree
Security Clearance: Required
Posted: 30 Apr 2026 (Today)

Benefits

Opportunity to contribute to national security projects Professional development and training opportunities Supportive and collaborative work environment Flexible work arrangements Comprehensive employee benefits package

Save job

Create job alert

Salary

£40,000 – £70,000 pa

Job Type: Permanent
Work Pattern: Full-time
Work Location: Hybrid
Seniority: Mid
Education: Degree
Security Clearance: Required
Posted: 30 Apr 2026 (Today)

Benefits

Save job

Create job alert

Our client, a prominent entity in the Defence and Security sector, is currently seeking a dedicated Data Engineer to join their team in a permanent capacity.

Key Responsibilities:

Build, configure, and maintain a modern cloud-based data platform in alignment with architectural blueprints and design standards.
Develop robust data pipelines that ingest, transform, and publish data from multiple source systems into trusted reporting layers.
Ensure solutions support financial reporting requirements including accuracy, completeness, auditability, and traceability.

Collaboration & Technical Input:

Work closely with Data Architects to refine designs, challenge assumptions, and contribute engineering insights to architectural decisions.
Collaborate with wider technology teams, business stakeholders, and programme partners to ensure solutions meet operational and reporting needs.
Support the evaluation and adoption of modern data engineering tools, patterns, and practices.

Data Quality, Security & Governance:

Implement engineering practices that ensure high data quality, including validation, monitoring, reconciliation, and automated testing.
Embed security-by-design, including encryption, access control, secure data movement, and compliance with regulatory requirements.
Support data governance activities by ensuring consistent use of metadata, lineage, and cataloguing standards.

Operational Excellence:

Build resilient, high-performing data solutions capable of supporting financial reporting workloads.
Develop and maintain reusable data engineering patterns, components, and frameworks.
Monitor platform performance, troubleshoot issues, and optimise data processes for efficiency and reliability.

Job Requirements:

Proven experience in data engineering, with a focus on cloud-based data platforms.
Strong understanding of modern data platforms and tooling.
Experience in implementing and maintaining data pipelines.
Understanding of data quality and governance principles.
Knowledge of security practices for data management in regulated environments.
Excellent analytical and problem-solving skills.
Strong communication skills, able to work with technical and non-technical stakeholders.

Benefits:

Opportunity to contribute to national security projects.
Professional development and training opportunities.
A supportive and collaborative work environment.
Flexible work arrangements with a hybrid role.
Comprehensive employee benefits package.

If you are a skilled Data Engineer eager to contribute to innovative projects within the Defence and Security sector, we encourage you to apply now to join our client's team.

Related Jobs

View all jobs

Data Engineer

Noir Switzerland, United Kingdom

£87,291 – £113,478 pa Hybrid

Data Engineer

Lynx Recruitment London, United Kingdom

£40,000 – £85,000 pa On-site

Data Engineer

Gleeson Recruitment Group Birmingham, United Kingdom

£65,000 – £75,000 pa On-site

Data Engineer

Sanderson Cardiff, Cymru / Wales, CF10 2AF, United Kingdom

£60,000 – £72,000 pa Hybrid

Data Engineer

hireful Exeter, United Kingdom

£50,000 – £55,000 pa Hybrid

Data Engineer

Robert Walters Manchester, United Kingdom

£55,000 – £60,000 pa Hybrid

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

Industry Insights

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

Apr 9, 2026

Products

Where to Advertise Data Engineering Jobs in the UK (2026 Guide)

Advertising data engineering jobs in the UK requires a different approach to most technical hiring. Data engineers occupy a distinct discipline that sits between software engineering, data science and cloud infrastructure — and the strongest candidates identify firmly with the data engineering community rather than with adjacent roles. General job boards consistently conflate data engineering with data analysis, data science and BI development, producing high application volumes but low candidate quality for specialist pipeline and platform roles. This guide, published by DataEngineeringJobs.co.uk, covers where to advertise data engineering roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Mar 24, 2026

Jobs

New Data Engineering Employers to Watch in 2026: UK and Global Companies Driving the Data Revolution

Data engineering is at the heart of the digital economy, transforming raw data into actionable insights, powering analytics, AI systems, and cloud infrastructure. As the UK and global markets continue to invest heavily in data platforms, pipelines, and real-time analytics, demand for skilled data engineers is growing rapidly. For professionals exploring opportunities on www.DataEngineeringJobs.co.uk , the critical question is: which companies are expanding, hiring, and shaping the future of data-driven business? This article highlights new data engineering employers to watch in 2026, including UK startups, scale-ups, and international firms expanding in the UK.

Feb 10, 2026

Careers

How Many Data Engineering Tools Do You Need to Know to Get a Data Engineering Job?

If you’re aiming for a career in data engineering, it can feel like you’re staring at a never-ending list of tools and technologies — SQL, Python, Spark, Kafka, Airflow, dbt, Snowflake, Redshift, Terraform, Kubernetes, and the list goes on. Scroll job boards and LinkedIn, and it’s easy to conclude that unless you have experience with every modern tool in the data stack, you won’t even get a callback. Here’s the honest truth most data engineering hiring managers will quietly agree with: 👉 They don’t hire you because you know every tool — they hire you because you can solve real data problems with the tools you know. Tools matter. But only in service of outcomes. Jobs are won by candidates who know why a technology is used, when to use it, and how to explain their decisions. So how many data engineering tools do you actually need to know to get a job? For most job seekers, the answer is far fewer than you think — but you do need them in the right combination and order. This article breaks down what employers really expect, which tools are core, which are role-specific, and how to focus your learning so you look capable and employable rather than overwhelmed.