Data Engineer

(Hybrid working role - minimum three office-based days a week in London)

About the team

PPL’s Technology team plays a key role in supporting the systems, platforms and data capabilities that help us license recorded music and distribute revenue fairly to performers and recording rightsholders. The team works closely with colleagues across the business to develop secure, reliable and scalable technology that supports PPL’s members, licensees and internal teams.

This role sits within the data engineering area of Technology, supporting the development and operation of PPL’s Analytic Data Platform (ADP), our cloud-based data lake and data warehouse. The platform is actively evolving, with opportunities to improve how data is sourced, transformed, trusted and used across the organisation.

What you’ll be doing:

Reporting into the Data Architect, you will design, build, test, release and support data pipelines and integrations that underpin PPL’s Analytic Data Platform. You will work with a modern data stack, including Snowflake, DBT, Apache Airflow, SQDBM, SQL, Python and AWS services, helping to make data reliable, reusable and ready for analytics across the business. You will also support day-to-day platform operations, respond to incidents, resolve data-quality issues and contribute to continuous improvement across engineering practices, testing, documentation and deployment processes.

Key responsibilities will include:

• Design, develop, test and release robust data pipelines and integrations using technologies such as Snowflake, DBT, Apache Airflow, SQDBM, SQL, Python and AWS services including Glue, DynamoDB Streams and Kinesis.
• Take ownership of the day-to-day operation of data pipelines and integrations behind the ADP, including monitoring performance, responding to incidents, resolving data-quality issues and carrying out root-cause analysis.
• Source, prepare and transform raw data from cloud and on-premises systems so it is reliable, reusable and ready for analytics.
• Apply analytical engineering principles to model, transform and document data so it is trusted and accessible for data consumers across the business.
• Work with the Data Architect, DevOps, IT Operations and business data SMEs to translate user and technical requirements into scalable, well-designed solutions.
• Support continuous improvement by helping to develop reusable design patterns, code, automated tests and deployment processes using tools such as Bitbucket, JIRA and Confluence.
• Explore and apply AI tools responsibly to improve engineering efficiency and code quality, in line with PPL’s governance, security and data-privacy standards.
• Build strong relationships with technical colleagues and stakeholders across the business to understand how data is used for analytics and decision-making.

What you’ll need:

• Around 3–4 years’ experience in data engineering, with a strong foundation in designing, building, testing and releasing data pipelines.
• Confidence working across a modern data stack and cloud-based data environments, ideally including AWS services.
• Strong SQL and Python skills, alongside experience with data modelling, orchestration, transformation and deployment processes.
• A structured, quality-first mindset, with a focus on testing, documentation, security and careful handling of personal or confidential data.
• Curiosity about AI and emerging data technologies, with the judgement to use new tools responsibly and effectively.
• A proactive, collaborative approach and the ability to build trusted relationships with technical teams and business stakeholders.
• Strong written and verbal communication skills, with confidence working collaboratively and independently.
• Excellent organisational skills, with the ability to manage priorities and deliver work within agreed timeframes.

Why work at PPL?

• Hybrid working and flexible working hours
• Work from anywhere in the world for up to 2 weeks per year
• Early finishes on Fridays in the summer months
• Private medical insurance, life assurance and health cash plan
• Annual allowance to claim back funds spent on your favourite music activity
• Free healthy breakfasts and fresh fruit every day
• Exclusive retail and gym discounts to support your wellbeing
• Season ticket loans
• Regular socials and music industry related events
• Annual bonus, which is non-contractual

Equity, Inclusivity and Diversity at PPL

At PPL, we believe in fairness and in creating a work environment that respects all lived experiences. We are proud to represent musicians and performers from every section of society and are committed to cultivating a workplace where everyone feels welcome, valued and able to thrive.