Senior/Staff Software Engineer, Data Platform in London - Runna

We are looking for a talented, creative, and positive team player to join our highly skilled cross‑functional engineering team and lead the development of our data platform. As part of this work, you’ll be working closely with the engineering, product and growth team to build the foundations of how we ingest, process, store and query all the data we receive each day and use it to drive all of Runna’s data and analytics needs (including machine learning). You will work closely with our founders and CTO to help shape the future of Runna, who will support you all along this exciting journey.

Leading the data platform, you’ll help build the #1 running app in the world, pioneering the way that people train and use fitness apps.

As a Data Platform Engineer, your role will include:

• Architect, build, test, and deliver a state‑of‑the‑art data platform to support the data needs of our rapidly growing company.
• Design and implement scalable and efficient data pipelines, ETL processes, and data integration solutions to collect, process, and store large volumes of data within AWS.
• Implement data transformation logic to cleanse, validate, and enrich raw data for analysis and consumption by downstream applications.
• Further our integration with Mixpanel to enable advanced analytics and data tracking, providing insights into user behaviour and product performance.
• Adopt a data platform mindset by designing and developing data pipelines that prioritise security, scalability, uptime, and reliability.
• Mentor and guide team members on data engineering best practices and the use of AWS and Mixpanel.
• Collaborate with cross‑functional teams, including product, growth, engineering, and business stakeholders, to ensure the data platform aligns with company goals and drives value.
• Continuously evaluate and adopt new technologies and tools to enhance the data platform’s capabilities and performance.
• Communicating the advantages and limitations of technology solutions to partners, stakeholders, and team members.

What experience we’re looking for:

If you don’t quite meet all of the below skills, we’d still love to hear from you as we might be able to tweak the role slightly or offer you a position better suited for you. Your key experience:

• 5+ years in a Data Platform role or similar.
• 3+ years working with AWS.
• You’ve led the development of key projects within a data platform team.
• Experience with quantitative methods and approaches to solving problems gained through various experiences or studies (e.g., Computer Science, Mathematics, Physics, Engineering degree or equivalent practical experience).

Your key skills:

• Experience with delivering data pipelines within AWS.
• Proficiency with Python programming.
• Familiarity with AWS Redshift or similar cloud DWH platforms such as Snowflake or BigQuery.
• Proficiency with SQL and experience with relational databases (e.g. Amazon Redshift), NoSQL databases (e.g. DynamoDB), and graph databases (e.g. Amazon Neptune).
• Experience with infrastructure as code tools (e.g. CloudFormation, Terraform) and CI/CD pipelines.
• Experience with observability and monitoring tools (e.g. Cloudwatch, Datadog).
• Analytical and detail‑oriented, with a commitment to producing high‑quality work.
• A pragmatic mindset, with excellent communication and collaboration skills.
• Able to work within a highly‑skilled engineering team in a fast‑paced, iterative environment.

Enthusiasm for our ways of working which include:

• Iterative development, continuous deployment and test automation.
• Knowledge sharing, pair programming, collaborative design & development.
• Shared code ownership & cross‑functional teams.

Bonus points if you:

• Have experience with Serverless architectures.
• Experienced with job orchestration frameworks (e.g. Airflow, MWAA on AWS).
• MLOps knowledge and grasp of basic concepts.
• Have a strong interest in the health/fitness technologies.