National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Manager Of Data Engineering

hubbul
Birmingham
2 weeks ago
Applications closed

Related Jobs

View all jobs

Manager Data Engineering

Senior Business Intelligence Developer

Senior Data Engineer

Engineering Manager - Data & AI

Data Engineering Manager (f/m/d)

Engineering Manager - Data Engineering

Get AI-powered advice on this job and more exclusive features. Job Title: Head of Data Engineering (Ad Tech) My client is a fast-growing video marketing platform that empowers brands to extend their creative content beyond walled gardens and onto the open web. My client is seeking an experienced Lead Data Engineer / Head of Data Engineering to join their engineering team and lead the development and optimisation of their data pipeline architecture. This is a greenfield opportunity with significant influence over product development and technology stack decisions. Design and implement data pipeline integrations with SSPs for audience data classification. Develop and integrate Customer Data Platform (CDP) solutions for user-level data capture. Work with first-party data integration and identity resolution platforms. Collaborate closely with the engineering team to enhance platform capabilities. Strong experience with Python, Node.Js, and AWS. Solid background in data engineering, ideally with exposure to machine learning. Prior experience in the ad tech industry (DSP or data company experience is highly desirable). Deep understanding of data pipeline architecture and implementation. Job Title: Head of Data Engineering (Ad Tech) My client is a fast-growing video marketing platform that empowers brands to extend their creative content beyond walled gardens and onto the open web. My client is seeking an experienced Lead Data Engineer / Head of Data Engineering to join their engineering team and lead the development and optimisation of their data pipeline architecture. This is a greenfield opportunity with significant influence over product development and technology stack decisions. Design and implement data pipeline integrations with SSPs for audience data classification. Develop and integrate Customer Data Platform (CDP) solutions for user-level data capture. Work with first-party data integration and identity resolution platforms. Collaborate closely with the engineering team to enhance platform capabilities. Strong experience with Python, Node.Js, and AWS. Solid background in data engineering, ideally with exposure to machine learning. Prior experience in the ad tech industry (DSP or data company experience is highly desirable). Deep understanding of data pipeline architecture and implementation. Head of Data Engineering (AdTech) Contract Are you ready to shape the future of digital advertising through data? A fast-growing, innovative ad tech company is looking for a Head of Data Engineering to lead the development of its audience intelligence and targeting infrastructure. This is a rare opportunity to build from the ground up and make a direct impact on campaign performance for some of the world's most recognisable brands. We Are Aspire Ltd are a Disability Confident Commited employer Employment type Contract Job function Analyst, Information Technology, and Marketing Industries Data Infrastructure and Analytics, Technology, Information and Internet, and Technology, Information and Media Get notified about new Head of Engineering jobs in London, England, United Kingdom. Vice President of Engineering - ThriveCart We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #

National AI Awards 2025

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 Science Jobs Skills Radar 2026: Emerging Tools, Languages & Platforms to Learn Now

The UK’s data science job market is evolving fast—from forecasting models and AI assistants to real-time decision systems. In 2026, data scientists aren’t just expected to build models—they’re responsible for shaping insights that fuel everything from patient care to predictive banking. Welcome to the Data Science Jobs Skills Radar 2026—your essential annual guide to the languages, tools, and platforms driving demand across the UK. Whether you’re entering the job market or reskilling mid-career, this roadmap helps you prioritise the skills that matter most right now.

How to Find Hidden Data Science Jobs in the UK Using Professional Bodies like the RSS, BCS & More

The data science job market in the UK is thriving—but also increasingly competitive. As organisations in finance, healthcare, retail, government, and tech accelerate digital transformation, the demand for data talent has soared. Yet many of the best data science jobs are never posted publicly. They’re shared behind closed doors—within professional networks, at invite-only events, or through member-only mailing lists and specialist interest groups. These “hidden” roles are often filled through referrals, collaborations, or direct outreach to trusted experts. In this guide, we’ll show you how to unlock these hidden opportunities by engaging with key UK professional bodies such as the Royal Statistical Society (RSS), BCS (The Chartered Institute for IT), and Turing Society, plus communities like PyData and AI UK. You’ll learn how to use directories, CPD events, and networks to move beyond job boards—and into roles where you’re approached, not just applying.

How to Get a Better Data Science Job After a Lay-Off or Redundancy

Redundancy can be tough to face, especially in a competitive field like data science. But it’s important to know: your experience, analytical thinking, and modelling skills are still in demand. Across sectors like healthcare, finance, e-commerce, government and AI startups, UK employers continue to seek data scientists who can deliver value through insight, prediction, and automation. This guide will walk you through how to bounce back from redundancy with purpose and clarity—whether you're a data analyst looking to step up, a mid-level data scientist, or a machine learning specialist seeking a better-aligned opportunity.