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

Nominate & Attend

Product Owner - Data Platforms London £600/day Inside IR35

City of London
1 week ago
Create job alert

Data Platforms Product Owner | Technical Data Background | Banking / Cards / Insurance | London (hybrid) | £600/day (Inside IR35) | 6 month initial contract

Our London based Financial Services client is looking for a Technical Data Platforms Product Owner to work on a large project. You'll have a solid data / tech background, preferably in Financial Services. You'll have the ability to write the User Stories for the Data Engineers and tell the Architect what you need in the Data Model - and you'll define the data platforms roadmap. You will also have good experience around ADF, Azure DataBricks, and Snowflake - plus your knowledge will include ETL processes, Data Governance, Data Warehouses, Data Marts, and Data Lakes.

Key Skills & Experience:

Product Owner
Data Platforms Roadmap
User Stories
Snowflake
Azure Data Factory / Azure Data Bricks
Data Models
Great Communication skills

This role would be based in the City of London on a hybrid 50% home and 50% office based.

Initial contract is 6 months

£600 Inside IR35 - so you will be working via an umbrella company

If this sounds of interest, please do send me your CV to start a conversation around this.

Adecco acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. The Adecco Group UK & Ireland is an Equal Opportunities Employer.

By applying for this role your details will be submitted to Adecco. Our Candidate Privacy Information Statement explains how we will use your information - please copy and paste the following link in to your browser

Related Jobs

View all jobs

Product Owner

Product Owner - FMGC Data SAAS

Product Owner - FMGC Data SAAS

Product Owner - FMGC Data SAAS

Data Engineering Product Owner...

Pricing Product Manager

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.

Part-Time Study Routes That Lead to Data Science Jobs: Evening Courses, Bootcamps & Online Masters

Data science sits at the intersection of statistics, programming and domain expertise—unearthing insights that drive business decisions, product innovation and research breakthroughs. In the UK, organisations from fintech and healthcare to retail and public sector are investing heavily in data-driven strategies, fuelling unprecedented demand for data scientists, machine learning engineers and analytics consultants. According to recent projections, data science roles will grow by over 40% in the next five years, offering lucrative salaries and varied career paths. Yet many professionals hesitate to leave their current jobs or pause personal commitments for full-time study. The good news? A vibrant ecosystem of part-time learning routes—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn data science while working. This comprehensive guide explores every pathway: foundational CPD units and short courses, hands-on bootcamps, accredited online MScs, plus funding options, planning strategies and a real-world case study. Whether you’re an analyst looking to formalise your skills, a software developer pivoting into data or a manager seeking to harness data-driven decision-making, you’ll find the right route to fit your schedule, budget and career goals.

The Ultimate Assessment-Centre Survival Guide for Data Science Jobs in the UK

Assessment centres for data science positions in the UK are designed to replicate the multifaceted challenges of real-world analytics teams. Employers combine psychometric assessments, coding tests, statistical reasoning exercises, group case studies and behavioural interviews to see how you interpret data, build models, communicate insights and collaborate under pressure. Whether you’re specialising in predictive modelling, NLP or computer vision, this guide provides a step-by-step roadmap to excel at every stage and secure your next data science role.

Top 10 Mistakes Candidates Make When Applying for Data-Science Jobs—And How to Avoid Them

Trying to land your next data-science role? Avoid the ten most common mistakes UK candidates make—complete with practical fixes, expert tips and vetted resources to help you secure that offer. Introduction From real-time analytics teams in London fintechs to AI research labs in Cambridge, demand for data-science talent has never been hotter. Yet recruiters scanning CVs on boards like DataCareer’s UK data-engineering & data-science feed still reject most applicants long before interview—usually for mistakes that take minutes to fix. Below you’ll find the ten costliest errors we see, each paired with an actionable remedy and a trusted link for deeper reading. Bookmark this checklist before you press Apply.