At a Glance
- Tasks: Build and scale data platforms to enhance live entertainment experiences.
- Company: Join DICE, a company redefining live entertainment with a vibrant culture.
- Benefits: Competitive salary, diverse team, and opportunities for personal growth.
- Other info: Dynamic environment with a focus on innovation and inclusivity.
- Why this job: Make a real impact in the music and culture space while collaborating with talented teams.
- Qualifications: 4+ years as a Data Platform Engineer with strong AWS and data architecture skills.
The predicted salary is between 43200 - 72000 £ per year.
Live shows make us feel good. They’re a time to hang with our friends, discover new artists or lose ourselves on a dancefloor. 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.
About the role
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.
You’ll be
- 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.
You are
- 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.
- Up-to-date with technologies and techniques, and you know when to use them.
- Independent and require minimal supervision.
You’ll need
- 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, DevOps, 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 experience with Python (other programming languages are a plus).
- Strong grasp of version control and CI workflows (e.g. GitHub Actions), and comfort working in Unix environments.
- Knowledge of dbt.
- Knowledge of A/B testing or multivariate testing frameworks.
- Knowledge of data governance, security & privacy, lineage, and quality frameworks in cloud environments.
- AWS certification.
About DICE
DICE is based throughout Europe, North America, Australia and India, and is rapidly growing worldwide. We’re constantly innovating to bring amazing products to fans, artists, venues and promoters. We know that having a variety of perspectives makes us a better company – it's why we strongly encourage members of underrepresented communities to apply. Find out how we’re creating a more diverse, equitable and inclusive DICE.
Application process
Our process usually involves a quick chat on the phone, a portfolio review or task and a couple of interviews where you’ll meet the people you’ll work with. We’ll keep you fully informed along the way.
Senior Data Platform Engineer in London employer: DICE
DICE is an exceptional employer that champions creativity and innovation in the heart of Greater London. With a strong focus on mentorship and professional growth, employees are encouraged to develop their skills in a supportive environment that values diversity and inclusion. The hybrid work model offers flexibility, making it an ideal place for those seeking a meaningful and rewarding career in design.
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We think you need these skills to ace Senior Data Platform Engineer in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
