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Lead/Senior Data Engineer

Soho
6 months ago
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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

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Data Engineering Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the data engineering jobs market in the UK is evolving fast. Almost every organisation is talking about AI, analytics & data-driven decision making – but behind all that sits the data engineering function. Cloud costs, complex data estates, stricter regulation & the explosion of AI workloads are all changing how data platforms are built & run. Some companies are tightening budgets & consolidating teams, while others are doubling down on modern data stacks, lakehouses & real-time pipelines. Whether you are a data engineering job seeker planning your next move, or a recruiter building data teams, understanding the key data engineering hiring trends for 2026 will help you stay ahead. This guide mirrors the structure of your AI, biotech, blockchain, cloud & cyber articles, & is written with SEO in mind for both job seekers & recruiters searching for terms like “data engineering hiring trends 2026”, “data engineering jobs in the UK”, “data engineer recruitment UK” & “modern data stack roles 2026”.

Data Engineering Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data engineering hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise reliable pipelines, modern lakehouse/streaming stacks, data contracts & governance, observability, performance/cost discipline & measurable business outcomes. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for platform‑oriented DEs, analytics engineers, streaming specialists, data reliability engineers, DEs supporting AI/ML platforms & data product managers. Who this is for: Data engineers, analytics engineers, streaming engineers, data reliability/SRE, data platform engineers, data product owners, ML/feature‑store engineers & SQL/ELT specialists targeting roles in the UK.

Why Data Engineering Careers in the UK Are Becoming More Multidisciplinary

For many years, data engineering in the UK meant designing pipelines, moving data between systems, and ensuring analysts had what they needed. Today, the field is expanding. With cloud platforms, machine learning, real-time analytics and the explosion of sensitive personal data, employers expect data engineers to do much more. Modern data engineering is no longer just about code and storage. It requires legal awareness, ethical judgement, psychological insight, linguistic clarity and human-centred design. These disciplines shape how data is collected, processed, explained and trusted. In this article, we’ll explore why data engineering careers in the UK are becoming more multidisciplinary, how law, ethics, psychology, linguistics & design now influence job descriptions, and what job-seekers & employers must do to thrive.