Data Engineer

Intellect Group

Cambridge, England

12 months ago

Applications closed

Related Jobs

View all jobs

Data Engineer

Experis Bath, Somerset, TA7 8PH, United Kingdom

£500 – £550 pd

Data Engineer

Experis Telford, Shropshire, SY2 5TN, United Kingdom

£430 – £483 pd

Data Engineer

hireful Bristol, Bristol (county), United Kingdom

£50,000 – £55,000 pa Hybrid

Data Engineer

South Norfolk and Broadland Council Whitlingham, Norfolk, United Kingdom

£42,287 – £47,191 pa

Data Engineer

Erin Associates South Yorkshire, United Kingdom

£55,000 – £60,000 pa

Data Engineer

hireful Devon, United Kingdom

£50,000 – £55,000 pa

Posted: 8 May 2025 (12 months ago)

Save job

Create job alert

Applications closed

Job Title:Mid-Level Data Engineer

Location:Fully Remote (UK-based applicants only, with optional weekly co-working in Cambridge)

Employment Type:Full-Time, Permanent

Sector:Data & AI Consultancy – Banking & Video Gaming

Salary:Competitive, dependent on experience

About the Role

Intellect Group is delighted to be recruiting on behalf of a specialist data consultancy based in Cambridge, renowned for delivering high-impact solutions across theBankingandVideo Gamingsectors. Their areas of expertise includeDigital Transformation,Machine Learning & AI,Data Engineering, andData Science.

As they continue to grow, they are now looking for aMid-Level Data Engineerto join their close-knit team. This is a fantastic opportunity for a technically strong and motivated individual with a few years of experience under their belt, who’s ready to take ownership of their work, contribute to complex projects, and work directly with clients in a variety of industries.

This role isfully remote, with the option of joining the team once a week inCambridgefor collaborative working and professional development.

Key Responsibilities

Design, build and optimise scalable and robust data pipelines and architectures
Develop and maintain ETL workflows using modern tooling
Contribute to solution design and technical delivery across multiple client projects
Collaborate closely with data scientists, analysts, and consultants to support ML/AI deployment
Integrate data from a variety of cloud and on-premise sources
Participate in internal code reviews, architecture discussions, and knowledge sharing
Engage with clients to understand requirements and translate them into technical solutions

Candidate Profile

3–7 years of experience as a Data Engineer (or in a similar role)
Strong programming skills inPythonand working knowledge ofSQL
Solid understanding of data modelling, data warehousing, and ETL best practices
Exposure to bothAWSandGoogle Cloud Platform (GCP)
Comfortable working independently and collaborating within a distributed team
Excellent communication and stakeholder engagement skills
UK-based with the option to join weekly co-working days in Cambridge

Nice to Have

Experience working within aconsultancy or client-facing environment
Familiarity with tools and frameworks such as:
Databricks
PySpark
Pandas
Airflowordbt
Experience deploying solutions using cloud-native services (e.g., BigQuery, AWS Glue, S3, Lambda)

What’s On Offer

Fully remote working with the flexibility to work from anywhere in the UK
Optional weekly in-person collaboration inCambridge
Frequent team socials and company trips – previous destinations includeItalyand thePeak District
6% pension contribution
Friendly, talented team culture with a strong emphasis on knowledge-sharing
Exposure to cutting-edge data projects across highly dynamic sectors

Industry Insights

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

Apr 9, 2026

Products

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

Advertising data science jobs in the UK requires a different approach to most technical hiring. 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.

Apr 5, 2026

Jobs

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

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.

Mar 24, 2026

Jobs

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.