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

Apply Now

Data Engineer

Expleo UK LTD
City of London
1 month ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Overview

We are seeking a skilled Data Engineer to design and develop robust data pipelines that support a cloud-based Data Analytics platform. This role plays a key part in transforming the data landscape and enhancing the Data Warehouse Engineering function.

The successful candidate will contribute to a range of initiatives focused on improving data quality, accessibility, and performance.

Responsibilities
  • Design and maintain data pipelines, including error-handling, automation, and performance optimisation.
  • Resolve data queries by tracing issues to source systems.
  • Define and deliver cloud-based data analytics platform requirements using modern EDW tools and practices.
  • Maintain clear and accurate team and technical documentation.
  • Monitor and improve data quality, consistency, and compliance with standards.
  • Apply operational procedures, security protocols, and support frameworks to meet service levels.
  • Recommend development tools to improve delivery efficiency and value.
  • Document systems, solutions, and processes for database and data engineering deliveries.
  • Contribute to IT strategy and architecture development.
  • Ensure solution designs comply with relevant policies, standards, and governance.
  • Maintain strategic oversight across data engineering components.
  • Identify and manage risks and issues proactively.
  • Conduct technical quality checks with leads to ensure standards are met.
  • Promote lean practices by challenging inefficiencies.
  • Support the strategic direction of the IT function with a proactive and positive approach.


#J-18808-Ljbffr

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.

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.