Senior Data Platform Engineer

Mesh-AI Limited; Greater London; On-site; GBP 60,000 - GBP 80,000; Full time

Job summary

A leading data solutions company in the UK seeks an experienced Data Platform Engineer to enhance their core data platform. You will own platform initiatives, collaborate with cross-functional teams, and implement best practices to improve scalability and efficiency. Ideal candidates have over 4 years in building data platforms, strong AWS knowledge, and proficiency in Python. This position encourages innovation in a fast-paced environment, ideal for passionate problem solvers.

Qualifications

• 4+ years of experience as a Data Platform Engineer in complex environments.
• Strong understanding of platform architecture and infrastructure design.
• Experience with cloud-native data stacks on AWS (e.g. S3, Glue, Redshift).
• Solid development experience with Python and knowledge of additional languages.

Responsibilities

• Evolve core data platform, deprecate legacy systems.
• Support implementation of a data platform strategy.
• Own end-to-end platform initiatives from scoping to rollout.
• Drive technical maturity with engineering best practices.

Skills

Data platforms

AWS tech stack

Streaming technologies (Kafka, Kinesis)

Orchestration frameworks (Prefect, Airflow)

Python programming

CI/CD

Infrastructure-as-Code (Terraform)

Containerization (Docker, Kubernetes)

Version control (Git)

Education

AWS certification

Job description

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.