Future Tech Jobs Future Tech Jobs

Analytics Engineer

Harnham - Data and Analytics Recruitment
Sheffield, United Kingdom
Last month
£65,000 – £70,000 pa

Salary

£65,000 – £70,000 pa

Job Type
Permanent
Work Pattern
Full-time
Work Location
Remote
Seniority
Mid
Education
Degree
Posted
30 Apr 2026 (Last month)
Share
Save job
Create job alert

Analytics Engineer

UK, Fully Remote, £65,000 to £70,000

This is an opportunity to join a fast-growing digital marketplace at a pivotal stage in its data journey. The business is investing heavily in its data platform and is looking for anAnalytics Engineer to take ownership of a modern stack, bridge technical and commercial needs, and play a key role in shaping how data is used across the organisation.

The Company

They are a VC-backed technology business operating a two-sided online marketplace within the education sector. With strong growth and an expanding customer base, data has become central to improving acquisition, understanding user journeys, and delivering clearer commercial insight. The data function is still maturing, offering a rare chance to influence foundations, standards, and ways of working from an early stage.

The Role

You will be the first key Data Engineer hired in a new phase of the data team, taking ownership of an existing cloud-based data platform following a consultant handover. Working closely with analytics and senior stakeholders, you will help turn fragmented data into reliable, actionable insight.

Responsibilities include:

  • Owning and developing the data platform on GCP, ensuring reliability and scalability
  • Building and maintaining robust ingestion pipelines using modern ELT tools
  • Designing and maintaining high-quality data models to support analytics and self-serve BI
  • Partnering with BI and commercial teams to translate business needs into technical solutions
  • Supporting data governance, testing, and documentation across the warehouse
  • Contributing to ongoing platform improvements, including automation and AI-enabled tooling

Your Skills & Experience

  • Strong data engineering fundamentals within a modern cloud data stack
  • Proven experience with GCP, BigQuery, dbt, and ELT tools such as Fivetran or similar
  • Solid data modelling capability for analytics and reporting use cases
  • Hands-on experience with infrastructure as code, particularly Terraform
  • Comfortable working in scaling environments with evolving data maturity
  • Able to communicate clearly with both technical and non-technical stakeholders
  • An interest in automation, AI, or improving engineering workflows is beneficial

What They Offer

  • High autonomy and the chance to shape a growing data platform
  • Clear scope for progression as the data function expands
  • Support from an established DevOps and engineering team

How to Apply

If you are a Data Engineer looking to own a modern data stack and make a tangible impact in a growing tech business, apply now to learn more.

Related Jobs

View all jobs

Analytics Engineer

Harnham - Data and Analytics Recruitment Sheffield, United Kingdom
£65,000 – £70,000 pa Remote

Senior Analytics Engineer

Synthesia London, United Kingdom
Remote

Pricing Analytics Engineer

Datatech Bristol, Bristol (county), United Kingdom

Lead Analytics Engineer

AJ Bell M53Ee, M5 3EE, United Kingdom
On-site

Analytics Manager

Harnham - Data and Analytics Recruitment London, United Kingdom
£100,000 – £120,000 pa Permanent

Data Platform Manager

Harnham - Data and Analytics Recruitment London, United Kingdom
£60,000 – £85,000 pa On-site

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Products

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Where to advertise data science jobs UK in 2026: the specialist boards, communities and channels that actually reach senior and lead data science talent. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science 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

Data Science Jobs UK 2026: What to Expect Over the Next 3 Years

Data Science Jobs UK 2026: roles, salaries and the trends shaping UK data science hiring over the next three years — from MLE crossover to GenAI workflows. Data science has spent the past decade being described as the sexiest job of the twenty-first century. By 2026, the reality is both more nuanced and more interesting than that label ever suggested. The discipline has matured, fragmented, deepened, and in some respects reinvented itself — and the jobs market has changed with it in ways that create genuine opportunity for those who understand what employers actually want, and genuine difficulty for those still operating on assumptions formed five years ago. The data science jobs market of 2026 is not simply a larger version of what it was three years ago. The generalist data scientist — equally comfortable wrangling data, building models, and presenting insights to the board — is giving way to a more specialised landscape where employers know exactly what problem they are trying to solve and are looking for candidates with the specific depth to solve it. Machine learning engineering, causal inference, experimentation, AI product development, and domain-specific applied science have all emerged as distinct career tracks within what was previously a single, loosely defined profession. At the same time, the arrival of large language models and the broader AI capability wave has both threatened and created data science roles in equal measure. Some of the work that junior data scientists spent their early careers doing — data cleaning, exploratory analysis, basic model building — is being partially automated by AI tooling. But the demand for practitioners who can evaluate AI systems rigorously, apply statistical thinking to complex business problems, and build the data foundations on which AI depends has grown considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what data scientists are expected to build and know, and how to position a data science career that will remain valuable as the field continues to evolve around them. This article breaks down what the UK data science jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

🍪 Basic, anonymous analytics (aggregate counts only, never shared) are always on. Accept to also enable third-party tools — Google Analytics, Microsoft Clarity, Mixpanel, Leadfeeder — which help us match you with relevant Data Science roles. We never sell your data or use it for cross-site advertising. See our Cookie Policy.