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£500 – £522 pd Remote Contract Clearance Required

Backend Engineer

As a Senior Backend Engineer, you will lead the design and implementation of a security compliance platform, ensuring all code changes meet regulatory standards. You will work with Java, Spring Boot, and GCP, focusing on distributed systems and security compliance.

Randstad Technologies Recruitment

London, United Kingdom

£40,000 – £60,000 pa Hybrid Permanent

Senior Data Analyst

As a Senior Data Analyst at Just Eat Takeaway.com, you will play a crucial role in transforming the company's logistics data ecosystem. You will work on building a modern Headless Semantic Layer, collaborating with data teams to harmonize KPIs and create user-friendly data products. Your responsibilities include mapping complex logistics models, developing the Universal Semantic Layer, and designing Tableau dashboards to make data accessible and actionable for business partners.

Just Eat Takeaway.com

London, United Kingdom

£40,000 – £60,000 pa Hybrid Permanent

Analytics Engineer

As an Analytics Engineer, you will design and maintain scalable analytics models and semantic datasets that power Retail Media analytics, experimentation, and data-driven product development. You will collaborate with a multidisciplinary team to ensure data quality, support experimentation, and enable scalable data consumption across various platforms and tools.

Just Eat Takeaway.com

London, United Kingdom

£100,000 – £150,000 pa Hybrid Permanent

Principal Engineer, Data Platforms

This role involves defining the long-term technical vision and roadmap for Just Eat Takeaway.com's modern Data Platform, including data warehousing, data lakes, streaming, and governance. You will lead the design and governance of core data infrastructure, act as a hands-on contributor, and mentor senior engineers to raise the technical bar across the organization.

Just Eat Takeaway.com

London, United Kingdom

£40,000 – £60,000 pa Hybrid Permanent Clearance Required

Data Architect

The Data Architect will play a pivotal role in establishing a new data practice, shaping the enterprise data architecture, and leading the design and implementation of a new data platform. Key responsibilities include defining data architecture standards, building a team of data professionals, and ensuring compliance with regulatory frameworks in a highly regulated environment.

Matchtech

Harlow, United Kingdom

£80,000 pa On-site Permanent

AI Platform Engineer (DevOps / MLOps Focus)

This role involves designing, building, and operating a production-grade Generative AI platform, focusing on scalable and reliable services. Responsibilities include optimizing RAG pipelines, orchestrating multi-model AI services, and ensuring high performance and security in a cloud environment. You will work closely with AI engineers, security teams, and product stakeholders to transform experimental models into production-ready services.

The Portfolio Group

London, United Kingdom

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Career Advice

Advance your Data Engineering career with expert advice, practical job search tips, and insightful industry guides.

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.

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.

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.

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