We're putting together a talented team to build the 1 training platform for Runners We help everyday runners become outstanding by building an incredible app providing world-class training, coaching and community for everyone, whether you're improving your 5k time or training for your first marathon. We’re growing extremely fast! In November 2023 we closed a $6.5M funding round led by JamJar with participation from Eka Ventures, Venrex and Creator Ventures. In 2024, we were selected by Apple as one of three global finalists for the iPhone app of the year, reflecting the innovation and impact of what we’ve built & in 2025 we were acquired by Strava ! Our ambition is huge: to become the go-to global leading training platform for millions of runners everywhere. We’re growing with purpose and looking for people who want to build something meaningful with lasting impact. With the recent acquisition by Strava accelerating our journey, now is a really magical time to join. The team you'll join We are looking for a talented, creative, and positive team player to join our highly skilled data engineering team and play a key role in shaping and evolving our data platform capabilities. The data engineering team at Runna is responsible for building and maintaining the data platform infrastructure, ingesting data from a variety of different sources, and ensuring the availability and scalability of our data warehouse for the whole business. You'll work closely with a variety of teams here, including: Data analytics team : Helping them to ingest and model data, supporting the creation of dashboards driving key business insights in a scalable, repeatable way. Engineering teams: Supporting their access to scalable data solutions, helping them to onboard and understand their data more easily. AI/ML teams: Supporting the creation of feature datasets, model training/validation data, and supporting model deployment. What you'll be doing As a data engineer, you will; Support and maintain our cutting edge data platform, delivering technical solutions to meet the business needs across AWS and Snowflake. Build and maintain scalable data pipelines, ETL/ELT processes and data integration solutions. Implement data transformation logic to cleanse, validate, and enrich data for consumption within the data warehouse and by downstream consumers. Contribute to design discussions as we evolve and improve the data platform. Collaborate with cross-functional teams, including product, growth and engineering, to ensure the data platform is delivering useful data to key stakeholders and driving value for the business. What you'll bring to the team: 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. You can apply directly below or contact us if you're still unsure. Your key experience: 3 years in a Data Engineer, or Data Platform Engineer role 3 years working with data warehouses, SQL, python and cloud environments Strong experience designing and building data pipelines Strong experience working and communicating with stakeholders at all levels Your key skills: Data Solutions : You're experienced delivering secure, scalable, efficient data solutions in an AWS cloud environment. Data Pipelines : You're experienced designing, building, and delivering data pipelines to ETL/ELT data from a source system into a data warehouse or data lake. Python : You will have strong experience programming in python and are comfortable solving complex problems using python. SQL : You're a SQL expert and can easily build complex queries to query data in a database. You understand the performance implications of different solutions and your queries are easy to read, efficient, and performant. Databases : You will have a strong understanding of the fundamentals of database structure and behaviours. You understand the different types of databases and when it's appropriate to use each one. Data Warehousing : You're experienced with data warehousing tools (ideally Snowflake) and are familiar with the core concepts of a modern data warehouse. Communication Skills : You will be a highly skilled communicator capable of taking complex technical solutions and explaining them to non-technical stakeholders. Adaptable : You will be a fast learner and able to quickly adapt to new technologies outside of your comfort zone. Detail Oriented : You will have an eye for detail and take pride in the quality of your work. Ways of Working : 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 & well written documentation Bonus points if you have: Event Driven Architecture (EDA) : Any experience designing, building and maintaining event driven architecture, especially in an AWS environment, is highly advantageous. Fitness: Experience with fitness data (e.g. heart rate data, FIT files) or even a general interest in fitness will be beneficial for understanding the domain. Salary and Benefits We’re offering a salary of £76,300 - £85,000 per year, depending on experience, plus participation in Strava's long-term incentive (stock) programs. Overview of our benefits is below: We’re also committed to continually evolving our benefits to support you as we grow. Here is a brief overview what we currently offer in the UK Flexible working – we typically spend 2–3 days a week together in our Vauxhall office ️ 25 days holiday, plus bank holidays (which you can take whenever suits you) Free Runna & Strava subscriptions for you and 3 of your friends (get ready to be your friends fave person or save them for holiday presents!) Strava membership! Headspace membership Money every year to spend on gear, events and the gym! We’ll give you a voucher to spend on our website so you can buy yourself new Runna kit (and will renew this every year on your work anniversary) Private health insurance with Bupa and workplace pension scheme Modern Health ia a mental wellness platform and app that combines technology with professional support to improve mental well-being and reduce stress Carrot fertility support - this benefits provider can provide inclusive fertility, hormonal health, and family-forming benefits to our global employee population and takes the burden off what we know can be a stressful process. Please see more info on our amazing benefits here: Benefits at Runna Our Interview Process: Our aim is to keep the interview process as straightforward and enjoyable as possible, and will consist of the following stages: Introductory chat with Talent Partner (25 minutes video call) SQL HackerRank Test (~60 minute online platform) Team Manager (~30 minutes video call) Technical Interview (1 hour video call) General questions (15 minutes) System design (45 minutes) Meet the team and in-person chat (in-person chat with founder(s), rest of the team and technical discussion) Please let us know if there’s anything we can do to better accommodate you throughout the interview process - this can be from scheduling interviews around childcare commitments to accessibility requirements. We want you to show your best self in the process, so please speak to your Talent Partner!