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

Nominate & Attend

Lead/Senior Data Engineer

Soho
1 month ago
Applications closed

Related Jobs

View all jobs

Data Lead | Senior Data Engineer/Scientist

Senior Data Engineer - Snowflake

Senior Data Engineer

Assistant Data Engineer (Cabling)

Assistant Data Engineer Cabling

Senior Data Analytics Developer

Join a leading force in the music industry, empowering artists at every stage of their careers. We're looking for a Lead Data Engineer to spearhead the development and optimisation of our cutting-edge Analytic Data Platform (ADP).

You’ll design scalable data solutions, lead a talented team of engineers, and collaborate across tech and business teams to deliver impactful data products. Your work will directly support strategic decision-making and innovation across the company.

What you’ll do:

Architect and build efficient, reliable data pipelines and products.

Lead and mentor a growing data engineering team.

Collaborate with DevOps, QA, IT Ops, analysts, and business experts.

Champion best practices in data design, development, and cloud architecture.

Stay on top of the latest tools and trends, especially in AWS and open-source data tech.

What you bring:

Expert-level SQL and strong scripting (Python/DBT).

Deep knowledge of ETL/ELT processes, CI/CD, and data performance tuning.

Strong communication skills, with a knack for translating complex tech into clear business insights.

Proven leadership and mentoring experience.

Nice to have:

Hands-on experience with Snowflake, Airflow, AWS Glue, Spark, and S3.

Familiarity with open-source data libraries (e.g., Pandas, DBT).

Experience with modern data stacks and AWS cloud services.

This is your chance to shape the future of our data ecosystem from the ground up.

Ready to lead? Apply now and help us stay ahead in the data-driven music world

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.

Jobs

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.

Careers Jobs

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.

Jobs

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.

🍪 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.