Data Engineer

Harnham - Data & Analytics Recruitment
London, United Kingdom
Today
£70,000 – £90,000 pa

Salary

£70,000 – £90,000 pa

Job Type
Permanent
Work Pattern
Full-time
Work Location
Hybrid
Seniority
Senior
Education
Degree
Posted
30 Apr 2026 (Today)

Benefits

Competitive benefits
Share
Save job
Create job alert

Senior Data Engineer

£70,000-£90,000

London (Hybrid)

This is an exciting opportunity to join a growing tech scale-up where data is at the heart of their product. You will play a key role in shaping their data infrastructure, enabling large-scale machine learning and real-time analytics that directly impact their customers.

THE COMPANY

They are a high-growth SaaS organisation operating in the digital advertising space. Their platform helps customers optimise performance through advanced analytics, real-time behavioural insights and machine learning. With a collaborative engineering culture and strong investment backing, they are building scalable data systems to support rapid product expansion.

THE ROLE

As a Data Engineer you will take ownership of the company's core data pipelines, transforming large-scale event data into reliable, ML-ready datasets that power real-time decisioning and analytics across the business.

Specifically, you can expect to be involved in the following:

  • Design and manage data ingestion pipelines that feed into their cloud data warehouse.
  • Build and maintain pipelines that prepare data for machine learning and analytics use cases.
  • Restructure/improve existing datasets to ensure they are reliable, performant and ML-ready.
  • Work closely with Data Science and Platform Engineering to productionise models and improve data foundations.
  • Proven ability to work with high-volume event data at scale.

SKILLS AND EXPERIENCE

The successful Data Engineer will have the following skills and experience:

  • Strong commercial experience in Python, SQL and cloud-based data engineering.
  • Hands-on experience with AWS services such as Redshift, Athena, S3, Glue and ideally Kinesis.
  • Understanding of streaming data, system performance and cost-efficient architecture.
  • A proactive mindset with the confidence to identify and solve problems independently.

BENEFITS

The successful Data Engineer will receive the following benefits:

  • Salary between £70,000 - £90,000 - depending on experience.
  • Competitive benefits.

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

Related Jobs

View all jobs

Data Engineer

Sanderson Cardiff, Cymru / Wales, CF10 2AF, United Kingdom
£60,000 – £72,000 pa Hybrid

Data Engineer

Harnham - Data & Analytics Recruitment London, United Kingdom
£70,000 – £90,000 pa Hybrid

Data Engineer

Harnham - Data & Analytics Recruitment Manchester, United Kingdom
£70,000 – £90,000 pa Hybrid

Data Engineer

Sanderson Bristol, United Kingdom
£45,000 – £48,000 pa Permanent

Data Engineer

Vermelo RPO Salford, United Kingdom
£40,000 – £60,000 pa Remote

Data Engineer

Relation Therapeutics London, United Kingdom
Permanent

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.

Products

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Jobs

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.

Careers

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.

🍪 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.