Lead/Senior Data Engineer

Xpertise Recruitment; London; On-site; GBP 70,000 - 90,000; Full time

Job summary

Join a leading force in the music industry as a Lead Data Engineer. You'll architect and optimize data solutions, lead a talented team, and collaborate to deliver impactful data products that support strategic decision-making and innovation.

Qualifications

• Expert-level SQL and strong scripting skills.
• Proven leadership and mentoring experience.

Responsibilities

• Architect and build efficient, reliable data pipelines.
• Lead and mentor a growing data engineering team.
• Champion best practices in data design and cloud architecture.

Skills

SQL

Python

Communication

Tools

Snowflake

Airflow

AWS Glue

Spark

S3

Job description

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.