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

Apply Now

Head of Data Engineering

ZipRecruiter
Manchester
1 month ago
Applications closed

Related Jobs

View all jobs

Head of Data Engineering

Head of Data Engineering

Senior Data Engineer

Data Analyst

Data Analyst

Lead Full-stack Data Scientist

Job Description

JOB TITLE:Head of Data Engineering

LOCATION(S):Manchester or Bristol

HOURS:Full-time

WORKING PATTERN:Hybrid – spend at least two days per week (or 40% of your time) at one of our locations.

About this opportunity:

We're seeking aHead of Data Engineering—a senior data expert and technical leader ready to help shape our enterprise data strategy. Join theEnterprise Data Provisioning Platformto drive innovation and create safe, scalable data capabilities across the organisation.

With rapid change in the data landscape and a powerful modern tech stack in place, this is a chance to make a significant impact on our future.

What you’ll be doing:

We're developing adata mesh architecture on Google Cloud Platform (GCP)that supports decentralised, self-serve data product development.

You’ll set the data engineering vision, define standards, and solve complex challenges. This role requires deep expertise, strategic thinking, and a passion for agile, innovative delivery.

You will:

  • Shape strategic direction and mentor data engineering teams
  • Provide technical leadership in data architecture and product delivery
  • Ensure high-quality, secure, and scalable data product development
  • Lead data engineering support for live environments
  • Collaborate with architecture and platform teams to set engineering and data standards
  • Advise on tools, practices, and future tech direction
  • Align long-term data strategy with business goals
  • Support recruitment, training, and development of junior engineers

What skills you’ll need:

  • Data Engineering:Proficiency in modern data engineering practices and tooling
  • Cloud Platforms:Familiarity with GCP, Azure, or AWS
  • Data Migrations:Experience leading large-scale migrations to the cloud
  • Data Literacy:Ability to drive decision-making through clear communication and collaboration
  • Data Design:Skilled in modelling and designing efficient, interoperable data structures
  • Leadership & Vision:Inspire inclusive culture, lead transformation, and build high-performing teams
  • Values:Purpose-driven and customer-focused with a change-ready mindset

Desirable experience:

  • Expertise in GCP services (BigQuery, Data Fusion, Cloud Composer, IAM)
  • Defining success through objectives and measurable metrics

Why join us?

We’re investing in a bold data future—and people like you will help make it real. Be part of a progressive, ambitious organisation that values innovation, , and purpose-driven growth.

Inclusive working and benefits

We celebrate and support inclusive working environments that help everyone feel they belong. We welcome applicants from underrepresented backgrounds and are committed to accessibility and workplace adjustments.

Our benefits include:

  • Up to 15% employer pension contribution
  • Annual performance-related bonus
  • Share schemes including free shares
  • Lifestyle benefits including discounts and wellbeing programs
  • Up to 30 days holiday, plus bank holidays
  • Comprehensive parental leave and support


#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.

Jobs

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.

Careers

The Future of Machine Learning Jobs: Careers That Don’t Exist Yet

Machine learning (ML) has become one of the most powerful forces reshaping the modern world. From voice assistants and recommendation engines to fraud detection and medical imaging, it underpins countless applications. ML is no longer confined to research labs—it powers business models, public services, and consumer technologies across the globe. In the UK, demand for machine learning professionals has risen dramatically. Organisations in finance, retail, healthcare, and defence are embedding ML into their operations. Start-ups in Cambridge, London, and Edinburgh are pioneering innovations, while government-backed initiatives aim to position the UK as a global AI leader. Salaries for ML engineers and researchers are among the highest in the tech sector. Yet despite its current importance, machine learning is only at the beginning of its journey. Advances in generative AI, quantum computing, robotics, and ethical governance will reshape the profession. Many of the most vital machine learning jobs of the next two decades don’t exist today. This article explores why new careers will emerge, the roles likely to appear, how today’s roles will evolve, why the UK is well positioned, and how professionals can prepare now.

Jobs

Seasonal Hiring Peaks for Machine Learning Jobs: The Best Months to Apply & Why

The UK's machine learning sector has evolved into one of Europe's most intellectually stimulating and financially rewarding technology markets, with roles spanning from junior ML engineers to principal machine learning scientists and heads of artificial intelligence research. With machine learning positions commanding salaries from £32,000 for graduate ML engineers to £160,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this pioneering and rapidly evolving field. Unlike traditional software engineering roles, machine learning hiring follows distinct patterns influenced by AI research cycles, model development timelines, and algorithmic innovation schedules. The sector's unique combination of mathematical rigour, computational complexity, and real-world application requirements creates predictable hiring windows that strategic professionals can leverage to advance their careers in developing tomorrow's intelligent systems. This comprehensive guide explores the optimal timing for machine learning job applications in the UK, examining how enterprise AI strategies, academic research cycles, and deep learning initiatives influence recruitment patterns, and why strategic timing can determine whether you join a groundbreaking AI research team or miss the opportunity to develop the next generation of machine learning algorithms.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.