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

Apply Now

Data Engineering Manager

Harnham
Brighton
2 weeks ago
Applications closed

Related Jobs

View all jobs

Data Engineering Manager

Data Engineering Manager

Data Engineering Manager

Data Engineering Manager

Data Engineering Manager

Data Engineering Manager

Harnham Brighton, England, United Kingdom

Harnham Brighton, England, United Kingdom

1 month ago Be among the first 25 applicants

Get AI-powered advice on this job and more exclusive features.

This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from Harnham

DATA ENGINEERING MANAGER

BRIGHTON - 1 DAY PER WEEK

Our client is seeking a proactive and experienced Data Engineering Manager to join their fast-growing tech company. If you're passionate about AI-driven sales solutions and want to lead a talented team, this could be your next exciting opportunity.

THE TEAM:

This company has built a cutting-edge AI-driven customer interaction platform that helps their customers find exactly what they need, acting as an intelligent online assistant. Thanks to significant investment, they've grown rapidly and are now expanding into new industries. They're especially excited about their next-generation AI product, designed to transform the sales journey, making it more human-like and insightful. This new product is already live with a few existing clients and catching the attention of new clients.

THE ROLE:

You'll join their Data team, reporting directly to their Head of Data, and play a crucial role in shaping their architecture and systems. You'll lead and mentor a team of three talented Data Engineers, guiding them on projects and helping gather requirements. This is a hands-on role where you'll be actively involved in product development, supporting both their existing solutions and their cutting-edge AI platform.

YOUR SKILLS AND EXPERIENCE:

The ideal Data Engineering Manager will have:

  • Proven experience in a Data Engineering role, ideally with some prior management or lead responsibility.
  • A real passion for coaching and developing engineers.
  • Hands-on experience with their tech stack - any cloud, Snowflake (or equivalent), Python, Airflow, Docker
  • Ability to juggle multiple products and effectively gather requirements.
  • Experience with real-time data products is a big plus.
  • Strong communication skills and a good academic background.

HOW TO APPLY:

Ready to take the next step in your career with a leading global firm? Please register your interest by sending your CV via the Apply link on this page.

Seniority level

  • Seniority levelDirector

Employment type

  • Employment typeFull-time

Job function

  • Job functionProduct Management
  • IndustriesSoftware Development

Referrals increase your chances of interviewing at Harnham by 2x

Get notified about new Engineering Manager jobs in Brighton, England, United Kingdom.

East Sussex, England, United Kingdom 2 days ago

Little London, England, United Kingdom 1 month ago

Worthing, England, United Kingdom 4 weeks ago

Worthing, England, United Kingdom 3 weeks ago

Brighton, England, United Kingdom 1 week ago

Falmer, England, United Kingdom 21 hours ago

Horsham, England, United Kingdom 1 week ago

Crawley, England, United Kingdom 3 weeks ago

Crawley, England, United Kingdom 3 weeks ago

Horsham, England, United Kingdom 1 week ago

Crawley, England, United Kingdom 4 weeks ago

Systems Integration and Test Manager - TTSSystems Integration and Test Manager - TTS

Crawley, England, United Kingdom 2 months ago

Crawley, England, United Kingdom 1 month ago

Burgess Hill, England, United Kingdom 1 week ago

Principal Product Manager - Airport Data Insights - Remote UK - 1 year Fixed Term

Brighton, England, United Kingdom 3 days ago

Brighton And Hove, England, United Kingdom 2 weeks ago

Horsham, England, United Kingdom 3 days ago

Worthing, England, United Kingdom £30,000.00-£32,000.00 2 days ago

West Sussex, England, United Kingdom 3 weeks ago

Little London, England, United Kingdom 3 weeks ago

Operational Technical, Controls and Assurance Manager

Crawley, England, United Kingdom 4 days ago

Technical Implementation Manager (Payroll)

Crawley, England, United Kingdom 4 days ago

Haywards Heath, England, United Kingdom 2 weeks ago

Technical Implementation Manager (Payroll)

Crawley, England, United Kingdom 4 days ago

Brighton, England, United Kingdom 1 month ago

West Sussex, England, United Kingdom 22 hours ago

Crawley, England, United Kingdom 5 months ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.


#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

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

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Jobs

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Jobs

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

🍪 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.