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Vauxhall, United Kingdom

We're putting together a talented team to build the #1 training platform for Runners

We help everyday runners become outstanding by providing world-class training, coaching and community for everyone, whether you're improving your 5k time or training for your first marathon. To date we have built iOS, Android and Apple watch apps that help people achieve their goals by coaching them through the full journey and syncing to their favourite fitness devices.

We’re growing extremely fast and in November 2023 closed a new £5M funding round led by JamJar with participation from Eka Ventures, Venrex and Creator Ventures. We want to grow as fast as we can into the future and are looking for individuals who will help us get there. For more about our background and growth check out our Careers Page!

We’re now looking ahead to the future and the people who want to help us build and scale Runna. Our aim is to reach millions of subscribers in the next 5 years and be the go-to training platform for any runner. Now is a magical time to join, we're still small, and everyone makes a foundational difference.

Who we’re looking for

We are looking for a talented, creative, and positive team player to join our highly skilled cross-functional engineering team and drive the scaling of data consumption at Runna. You will work closely with the engineering, product, and growth teams to help them become truly data-driven. Your role will involve building the foundations for ingesting, processing, storing, and querying all the data we receive daily, helping us understand the factors driving our product's success. You will also collaborate closely with our data platform team, founders, and CTO to help shape Runna's future, with their support throughout this exciting journey.

As a Analytics Engineer your role will include:

Work with our Data Platform team to architect, build, test and deliver a state-of-the-art data platform to support the data needs of our rapidly growing company
Design, implement and maintain high-quality datasets and data pipelines in Python, and SQL on AWS
Implement data transformation logic to cleanse, validate, and enrich raw data for analysis and consumption by downstream applications.
Further integrate with Mixpanel to enable advanced analytics and data tracking, providing insights into user behavior and product performance.
Adopt a data mindset by designing and developing data pipeline tasks at scale, enabling all teams to perform data-related jobs themselves.
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

Analytics Engineer Interview Process

Our aim is to keep the interview process as straightforward and enjoyable as possible, and will consist of the following stages:

Kick off! (apply below)

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 ❤️

Introductory chat (30-minute video call)
Take home technical task (max 1-2 hours to complete)
1.5-hour technical interview (the first half of the call will be used to discuss the take-home technical task from the previous stage and the second half will be some general architecture/tech questions)
Meet the team and in-person chat (in-person chat with founder(s), rest of the team and technical discussion)

Once the process is finished, we promise to let you know our decision as soon as possible.

Requirements

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. You can apply directly below or contact us if you’re still unsure.

Your key experience:

2+ years in a Analytics or Data Platform role
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:

You have industry experience working on production ETLs (big data and data warehousing) and data modelling as a developer or an analyst.
Proficiency with Python programming
You have experience building robust and reliable data sets requiring a high attention to detail and consideration for data quality.
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)
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:

2+ years working with AWS
Have experience with Serverless architectures
Experience with infrastructure as code tools (e.g. CloudFormation, Terraform) and CI/CD pipelines.
Experienced with job orchestration frameworks (e.g. Airflow, MWAA on AWS)
Have a strong interest in the health/fitness technologies

Our tech stack

Below you can find a small reflection of our current tech stack:

Frontend:

React Native (iOS and Android)
Typescript
GraphQL (Apollo Client)
Fastlane
SwiftUI (Apple Watch)
Maestro E2E tests

Backend:

Serverless (AWS)
Lambdas (NodeJS & Python)
AWS AppSync
DynamoDB, S3, SQS, SNS, EventBridge, SageMaker
Postman API tests

All the other good stuff:

Sentry
GitHub Actions
Intercom, Mixpanel
RevenueCat
App Store Connect / Play Store
Figma

Benefits

We offer a salary of £42,500 - £100,000 (depending on experience), plus equity in the form of Runna stock options.

** Based on years of direct, relevant experience. Software Engineer I £42.5k, Software Engineer II £47.5-60k, Software Engineer III £60-75k, Software Engineer IV £77.5-92.5k, Software Engineer V £95k+

We'll be growing our package of benefits over time. We currently offer:

Flexible working (we typically work 2-3 days in our office in Vauxhall)
Salary reviews every 6 months or whenever we raise more investment
25 days of holiday plus bank holidays
A workplace pension scheme where if you pay 5% we pay 3%
A brand new Macbook, a running watch of your choice, and anything else you need to do your best work
Private health insurance
Enhanced family care policy (3 months fully paid leave when a new Runna joins the family, fertility support & other benefits)
An hour slot each week (during work time) to do a Runna workout

Estimated Salary range:

Our salary intelligence, powered by our AI algorithms, has calculated an estimated range for this position between $45,000 - $70,000 . Please note that the actual salary for this position may vary, as it is dependent on various factors including but not limited to experience, location, and market dynamics.

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