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

Apply Now

Head of Data Engineering

The Progeny Group
united kingdom
6 months ago
Applications closed

Related Jobs

View all jobs

Head of Data Engineering - Preston

Head of Data Engineering

Head of Data Engineering

Head of Data Engineering

Head of Data Engineering

Head of Data Engineering

Head of Data Engineering

Department:Technology

Employment Type:Full Time

Location:Nationwide, UK (with occasional travel)


Description

As Head of Data Engineering, you will join our growing Data team to build and shape our Data Engineering function. Taking a hands-on approach, you will lead the design and management of our data infrastructure, architecture, pipelines, and solutions. With excellent leadership skills and interpersonal skills, you will be a natural communicator with the ability to scale and lead a high-performing team.

Please note this opportunity offers home based working but will require occasional travel to our offices.


Key Responsibilities

  • Shaping and developing data engineering capabilities and influencing the direction of the team.
  • Being the SME on design, development, and deployment of data ETL pipelines using Azure Data Factory, Azure Synapse, and other technologies to transform and access data from on-prem and cloud structures.
  • Developing high quality data pipelines and adopting engineering principles including domain driven design, test driven development, and clear separation of concerns.
  • Shaping the overall strategic data and analytical capabilities and influencing adoption of best practises to continuously improve standards across the team.
  • Building and leading the Data Engineering team to support development, continuous improvement, and identify skills and educational requirements.
  • Developing complex data products and solutions whilst managing projects and balancing the need for delivery.
  • Building relationships with internal and external stakeholders and influencing a data-driven culture.


Skills, Knowledge and Expertise

  • Demonstrable experience of building Data Engineering capabilities and frameworks from start to finish.
  • Experience working in a regulated environment, ideally in the provision of financial or legal services.
  • Previous experience in designing enterprise Data Models for Business Intelligence and key systems such as CRM’s.
  • Strong knowledge of database architecture and data warehousing.
  • Experience using Azure Data Factory, Azure Synapse, and similar technologies.
  • A natural leader with the ability to guide cultural change and foster collaboration.
We may close this vacancy early if we receive sufficient applications. Therefore, if you are interested, please submit your application as early as possible.


Benefits

  • 30 days holiday plus public holidays
  • 3 days of celebratory leave (to be used for your birthday, wellbeing, volunteering, or other celebratory events important to you.
  • Private medical insurance, 24/7 digital GP and health advice
  • Employee assistance programme providing support for your mental and physical health
  • Group pension scheme
  • Life assurance scheme
  • Eyecare vouchers
  • Enhanced family leave
  • Referral scheme

#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

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

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Jobs

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

🍪 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.