Senior Data Platform Engineer - Recommendations

Senior Data Platform Engineer - London

Live shows make us feel good. They’re a time to hang with our friends, discover new artists or lose ourselves on a dance floor. We’re on a mission to bring all of this to more fans, more often – and that’s where you come in.

We’re looking for a Senior Data Platform Engineer to join our Data Platform team, to help us scale our data platform to make DICE more reliable and impactful for its partners and customers.

At DICE, you’ll be part of the company that’s redefining live entertainment. It’s a place where you can be yourself, influence the culture, and create work that you’re proud of.

You’re an experienced individual who is passionate about building and scaling data products, enhancing data platforms, and comfortable supporting the diverse needs of multiple teams. You’ll be in an inspiring and fast-moving environment as part of a cross-functional team, working closely with developers, data scientists, data analysts, data engineers, analytics engineers and product managers. You’ll be building data tools, designing highly scalable systems, and arriving at essential insights that will help us make the right platform choices for our use cases.

You will contribute to improving our ways of working and establishing standards across the data team.

We work in an iterative approach, designing, building and trialling out new concepts quickly to test our assumptions and create the best service for our fans & partners. We also continue to pursue the best approaches to the many challenges we face in delivering highly scaled and richly personalised services. We want engineers open to collaboration and who want to be an integral part of the product improvement process.

• Joining a team of experienced engineers focused on evolving our core data platform, with responsibilities ranging from deprecating legacy systems to designing and building next-generation platform capabilities.
• Working with Engineering Managers and Software Engineers to support the formulation and implementation of a data platform strategy.
• Taking ownership of end-to-end platform initiatives—from scoping and architecture to implementation and rollout—delivering scalable and maintainable systems that empower data consumers across the org.
• Helping drive the technical maturity of the platform team by introducing engineering best practices, fostering reusability, and actively breaking down silos to promote shared ownership and collaboration.
• Working closely with the Product Manager for the Data Platform team, along with Data Engineers, Analytics Engineers, Analysts, and Data Scientists, to ensure our platform solutions are robust, efficient, and future-ready.

• Passionate, humble and talented.
• A fan of music and culture.
• Actively responsible and a problem solver.
• Inspiring and collaborative.
• Eager to build apps that make a positive impact on the world.
• A great communicator.
• Up‑to‑date with technologies and techniques, and you know when to use them.
• Independent and require minimal supervision.

• Proven experience as a Data Platform Engineer with 4+ years of experience, with a track record of building and scaling modern data platforms and tooling, ideally in complex or high‑growth environments.
• Strong understanding of platform architecture and infrastructure design, including security, scalability, observability, and cost efficiency.
• Experience building reusable, self‑serve tooling and frameworks that improve developer productivity and standardise data workflows across teams.
• Extensive knowledge of the AWS tech stack.
• Deep familiarity with streaming technologies such as Kafka, Kinesis, or similar event‑driven architectures.
• Experience with orchestration frameworks (e.g. Prefect and Airflow) and setting up scalable, observable DAG infrastructure.
• Strong understanding of data infrastructure best practices, including CI/CD, Dev Ops, Infrastructure‑as‑Code (Terraform), and containerization (Docker/Kubernetes) and have used these technologies to build scalable data platforms.
• Deep experience with cloud‑native data stacks, especially on AWS (e.g. S3, Glue, Redshift, Athena, RDS, etc.).
• Solid development…