National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Junior/Mid/Senior Data Engineer - Hybrid, London

Prospect
Greenford
5 days ago
Create job alert

Junior/Mid/Senior Data Engineer - Hybrid, LondonLocation: London (hybrid: 3 days in office in Victoria)Contract Type: Full TimeRole Level: Junior/Mid/SeniorSalary: Junior - £38,000 - £55,000; Mid-Level - £55,000 - £75,000; Senior - £95,000 - £130,000 Reporting Line: Head of Data EngineeringDirect Reports: TBCThe RoleProspect is on a mission to revolutionise decision making in sport. Our analytical solutions support decision making from the field through to the board room, helping our performance clients win trophies in four different sports, and winning awards for our commercial clients too. We have four primary lines of business: Performance Analytics, Sporting Product Analytics, Marketing Analytics & Execution, and Consulting & Advisory. Since closing our seed fundraising round in June 2021, Prospect has worked with rights holders, clubs, investors, broadcasters, and other service providers to the sports industry.We are looking for someone who is equally passionate about sports and analytics and is excited about the possibilities of the intersection of the two. The ideal candidate would have experience as a problem solver, data engineer, and communicator, preferably with a strong grasp of cloud computing concepts, preferably using AWS. You’ll work as part of cross-functional teams to help solve challenges and aid decision makers across the sporting landscape, from elite professional teams, to leagues and roadcasters, applying advanced analytics and modelling techniques.Personal Attributes Highly motivated and results-driven with a passion for technology. A passion for the business of sports, media and technology. Can-do attitude; a self-starter who wants to drive the company forward. Collaborative, open to feedback and willing to learn.Junior Data EngineerResponsibilities Support development of scalable data pipelines. Assist with testing, validation and documentation of data assets. Learn from and collaborate with senior engineers.Capabilities 2+ years relevant work experience. Foundational experience with Python and SQL. Eagerness to work with tools like dbt, Spark, DataBricks and Kedro. Understanding of version control, testing, and documentation. Familiarity with Agile, Jira, and Confluence. Proficiency working with AWS cloud services is required.Mid-Level Data EngineerResponsibilities Build and maintain reliable data pipelines. Manage and optimise cloud storage and warehousing. Ensure data quality, security and maintainability.Capabilities 4+ years relevant work experience. Strong SQL and Python skills. Experience with Snowflake, dbt, Spark. Version control, CI/CD and testing practices. Familiarity with Agile, Jira, and Confluence. Proficiency working with AWS cloud services is required.Senior Data EngineerResponsibilities Architect robust data infrastructure and workflows. Lead technical design and platform evolution. Mentor engineers and drive operational excellence.Capabilities 6+ years relevant work experience. Expertise in distributed data architecture and orchestration. Deep knowledge of Snowflake, S3, Athena, dbt. Security, performance, and governance leadership. Familiarity with Agile, Jira, and Confluence. Proficiency working with AWS cloud services is required.How to apply? To apply, send your CV and covering letter to with the role that you are applying for in the subject line. You must have the right to work in the United Kingdom. Please state current notice period in the email.This is an exciting opportunity to join a fast-growing company that is looking to revolutionise decisionmaking in sport. Prospect is committed to providing equal opportunities for candidates from all backgrounds. Since our founding in 2019, we have sought to build an inclusive working environment where diversity is celebrated.

Related Jobs

View all jobs

Junior/Mid/Senior Data Engineer - Hybrid, London

Junior/Mid/Senior Data Engineer - Hybrid, London

Junior/Mid/Senior Data Engineer - Hybrid, London

Junior/Mid/Senior Data Engineer - Hybrid, London

Junior/Mid/Senior Data Engineer - Hybrid, London

Junior/Mid/Senior Data Engineer - Hybrid, London

National AI Awards 2025

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.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.