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

Apply Now

Data Engineer, Data Engineer Data Analyst ETL Developer BI Developer Big Data Engineer Analytics Engineer Data Platform Engineer Cloud Data Engineer Azure Data Engineer Data Integration Specialist DataOps Engineer Data Pipeline Engineer

Page Personnel
Woking
1 month ago
Applications closed

Related Jobs

View all jobs

Machine Learning Operations Engineer

Machine Learning Operations Engineer – 11328SR

Machine Learning Operations Engineer

Forward Deployed Data Scientist, AI Deployment

Senior Forward Deployed Data Scientist, AI Deployment

Forward Deployed Data Scientist

Design and build a cutting-edge Azure data platform from the ground up. Collaborate across teams to deliver insights that drive key decisions .

About Our Client

Data Engineer - Surrey - Hybrid Our client is a well-established organisation undergoing a significant digital and data transformation. With a focus on innovation and technology, they are investing in building modern, cloud-based data capabilities to drive smarter decision-making, improve customer experience, and support future growth. This is an exciting time to join a business that is placing data at the heart of its strategy and creating opportunities for impactful work across the organisation

Job Description

Data Engineer - Surrey - Hybrid As the Data Engineer you will help design, build, and scale a modern Azure-based data platform. This is your chance to play a key role in shaping how data is used to drive smarter decisions and real business impact.

Develop, maintain, and optimise data pipelines and workflows. Collaborate with stakeholders to gather and analyse data requirements. Ensure data accuracy, security, and compliance with industry standards. Integrate data from multiple sources to create unified datasets. Implement and manage data storage solutions. Monitor and troubleshoot data systems to ensure smooth operations. Provide technical guidance on data engineering best practices. Contribute to the development of data strategies and architectures.

The Successful Applicant

Data Engineer - Surrey - Hybrid A successful Data Engineer should have:

Experience with Azure Data Factory, Azure Synapse, Azure SQL, or Azure Data Lake. Hands-on knowledge of the ETL process and working with large datasets. Understanding of dimensional modelling and data warehousing principles. Familiarity with CI/CD pipelines or monitoring tools for data processes. Solid skills in SQL and basic knowledge of Python scripting. Exposure to Microsoft Fabric (a plus, but not essential)

What's on Offer

Data Engineer - Surrey - Hybrid Discover a dynamic role where you'll work with cutting-edge Azure technology, collaborate across teams, and enjoy real opportunities for growth and impact.

Competitive salary in the range of £55,000 - £70,000 per annum. Standard benefits package, including pension contributions and health coverage. Generous holiday leave to support work-life balance. Opportunities to work on impactful projects. A professional and collaborative company culture.

If you're ready to take on the next step in your career as a Data Engineer we encourage you to apply today!

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.

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

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.