Data Engineering Manager

Circle Recruitment
Manchester
1 month ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Scientist - London, UK (Fully REMOTE)

Python Data Engineer

Data Engineer

Data Engineer (Automation)

Lead Data Engineer

Data Engineering Manager - Data Products

Technical Manager / Data Manager / Python / AWS

Not every Engineering Manager role is about running sprints or firefighting delivery issues.

This one is about building strong teams, setting clear technical direction, and helping a data platform mature in a way that is sustainable, consistent and genuinely useful to customers.

You will not be coding day to day, but this is not a hands off role either. It suits an Engineering Manager who is comfortable going deep on architecture, data models and trade offs, and who enjoys working closely with senior engineers and tech leads to get the best outcomes.

What you will be responsible for

You will lead engineering across a set of data product teams, with responsibility for both people and outcomes.

That includes:

  • Teams building and maintaining data feeds, datasets and client facing outputs
  • The evolution of shared data models and event schemas, making products more consistent and easier to extend
  • The automation and internal tooling that improves quality and efficiency, including testing, rules engines and AI assisted workflows

You will own direction and delivery across these areas, making sure teams are aligned, supported and focused on the right problems.

What you will be working on day to day

In practice, you will:

  • Own the roadmap and execution for data products spanning multiple domains such as apps, web, media, social and commerce
  • Lead teams responsible for schemas, datasets and reporting outputs used directly by customers
  • Drive improvements to data models and event structures, reducing complexity and inconsistency
  • Shape and prioritise work on automation and internal tools that reduce manual effort and raise quality
  • Partner closely with Product, Data Engineering and ML, Apps, QA and client facing teams
  • Hire, develop and support engineers and tech leads through one to ones, feedback and career development
  • Establish and improve engineering practices around observability, data quality, documentation, incident response and service levels

This role has real scope, technically, organisationally and culturally.

Who this role suits

This role is a strong fit if you:

  • Enjoy leading engineers, not just managing work
  • Have a solid technical background and like being able to challenge designs and assumptions
  • Care about building well modelled, trustworthy data products
  • Are comfortable balancing delivery, quality and long term platform health
  • Like working cross functionally and navigating real world constraints

You will likely bring:

  • Proven experience as an Engineering Manager or Tech Lead Manager in a data, platform or backend environment
  • A background in data or backend engineering, such as AWS, Python or Scala, Spark, Airflow or similar
  • Experience owning or supporting analytics, data or reporting products
  • Strong people leadership skills including hiring, coaching and performance management
  • A track record of delivering complex, cross functional initiatives

Nice to have:

  • Experience with automation or test tooling
  • Familiarity with data privacy and governance, such as GDPR or consented data

How you will work

  • Hybrid role, Manchester based
  • Two days per week in the office, the rest flexible
  • Flexible start and finish times
  • Full home working setup provided

For further details and to apply, please get in touch with jon.brass @ circlerecruitment.com

Engineering Manager - Data Products /Technical Manager / Data Manager / Python / AWS

Circle Recruitment is acting as an Employment Agency in relation to this vacancy. Earn yourself a referral bonus if you refer somebody else who fills the role! We also offer an iPad if you refer a new client to us and we recruit for them. Follow us on Facebook - Circle Recruitment , Twitter - @Circle_Rec and LinkedIn - Circle Recruitment.

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.

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.