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Data Engineer (Mid)

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. And in 2024, we were selected by Apple as one of three global finalists for the 2024 iPhone App of the Year reflecting the innovation and impact of what we’ve built.

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.

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

As a Data 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 using Snowflake and 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
  • 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. You can apply directly below or contact us if you’re still unsure.

Your key experience:
  • 2+ years in a data analyst or analytics engineering role
  • 1+ years working with AWS
  • 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
  • Familiarity with Snowflake or data warehousing technologies & techniques
  • 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

Our tech stack

Check out our Tech Radar here which we are constantly iterating, and gives a good reflection on what technologies we use, but also what we are looking into in the future.

Data Platform 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 (25-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.

    We offer a salary of £60,000 - £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 £60-80k, Software Engineer IV £80k-95k, 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

    At Runna we have a limited number of employment visas that we are able to sponsor and are limited by govt. guidelines so cannot guarantee a visa sponsorship to all applicants. Please do apply though as we will consider all applicants.

    Average salary estimate

    $80000 / YEARLY (est.)
    min
    max
    $60000K
    $100000K

    If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

    What You Should Know About Data Engineer (Mid), Runna

    Join Runna as a Mid-Level Data Engineer and be part of an innovative team helping everyday runners achieve their goals! Located in Vauxhall, New Jersey, we’re on a mission to create the #1 training platform for runners, providing world-class coaching and community support. After successfully securing a £5M funding round, we're rapidly expanding, recently even making it to Apple's top finalists for the 2024 iPhone App of the Year. As a vital member of our highly skilled engineering team, you'll play a crucial role in shaping how our data is handled. In this position, you'll architect and build a state-of-the-art data platform, working closely with cross-functional teams to ensure we harness data effectively for growth. Your expertise in Python and SQL will be essential in creating high-quality datasets and data pipelines that allow us to glean insights and understand the factors behind our product's success. If you're someone who loves to collaborate, innovate, and contribute to a fast-paced, dynamic environment, we want to hear from you! At Runna, every team member makes a significant difference, and now is an exciting time to join us as we aim to reach millions of subscribers and revolutionize fitness training for runners everywhere!

    Frequently Asked Questions (FAQs) for Data Engineer (Mid) Role at Runna
    What qualifications do I need to apply for the Data Engineer position at Runna?

    To be considered for the Data Engineer role at Runna, you should have at least 2 years of experience in a data analyst or analytics engineering position. In addition, having over a year of experience with AWS and proficiency in Python and SQL are key qualifications. A strong background in quantitative methods derived from studies in Computer Science, Mathematics, or Engineering will also be beneficial.

    Join Rise to see the full answer
    What does a Data Engineer at Runna typically do?

    As a Data Engineer at Runna, your main responsibilities will include building and maintaining high-quality datasets and data pipelines using Python and SQL, designing data transformation logic for cleansing and enriching data, and collaborating with cross-functional teams to ensure the data infrastructure aligns with company objectives. You’ll help us understand user behavior and product performance by enabling advanced analytics.

    Join Rise to see the full answer
    Which technologies will I work with as a Data Engineer at Runna?

    At Runna, you’ll work with a range of technologies, including Python, SQL, and cloud solutions like AWS and Snowflake. Familiarity with data warehousing technologies and tools, as well as infrastructure as code tools such as CloudFormation or Terraform, will also be beneficial. Your role will require leveraging tools for observability and monitoring, enhancing our data platform’s capabilities.

    Join Rise to see the full answer
    What can I expect from the interview process for the Data Engineer role at Runna?

    The interview process for the Data Engineer position at Runna is designed to be straightforward and enjoyable. It includes an introductory chat followed by a take-home technical task. You’ll also participate in a technical interview where you'll discuss your task and answer general architecture and tech-related questions. Finally, you’ll meet the team for an in-person chat that includes a technical discussion.

    Join Rise to see the full answer
    Is there room for growth and development for Data Engineers at Runna?

    Absolutely! At Runna, we value personal and professional growth. As a Data Engineer, you will have opportunities to build your skill set, innovate with new technologies, and work closely with the leadership team to shape the future of our data platforms. Our flexible environment and focus on collaborative work promote continuous learning and advancement.

    Join Rise to see the full answer
    Common Interview Questions for Data Engineer (Mid)
    What experience do you have with data transformation processes?

    When answering this question, you should highlight specific examples of your experience with data transformation. Discuss the tools and technologies you’ve used, such as Python or SQL, and provide details of a project where you successfully transformed raw data into actionable insights.

    Join Rise to see the full answer
    Can you explain a challenging data engineering project you’ve worked on?

    Share a relevant project where you faced significant challenges, discussing the problem, your solution, and the outcome. Emphasize how you collaborated with your team to overcome obstacles and how the experience improved your skills as a Data Engineer.

    Join Rise to see the full answer
    How do you ensure data quality in your projects?

    Explain your approach to maintaining data quality, including methods for validation and verification. You might talk about data cleansing techniques and automated testing processes you use to ensure robust data integrity throughout your projects.

    Join Rise to see the full answer
    What tools do you use for data pipeline development?

    Discuss the tools and platforms you are comfortable with, such as AWS, Snowflake, and ETL frameworks you've worked with. Be prepared to explain their functionalities and how you have leveraged them in previous projects.

    Join Rise to see the full answer
    How do you approach collaboration with cross-functional teams?

    Describe your communication strategy when working with other teams. Provide examples of how you’ve facilitated discussions and ensured that everyone’s needs were met in past projects, emphasizing your ability to understand both technical and non-technical requirements.

    Join Rise to see the full answer
    How do you stay updated with the latest data engineering trends?

    Share your methods for staying informed about industry trends, such as following relevant blogs, attending webinars, or participating in online communities. Mention any recent trends you've incorporated into your work.

    Join Rise to see the full answer
    What strategies do you use to optimize data pipeline performance?

    Highlight specific strategies you've employed in the past to improve pipeline efficiency. This may include discussing optimization techniques, caching strategies, and monitoring tools you've used to track performance.

    Join Rise to see the full answer
    Can you explain your experience with cloud technologies?

    Detail your experience with cloud platforms, particularly AWS, and how you have utilized them in data engineering projects. Talk about specific services like S3, Redshift, or RDS, and how they supported your data initiatives.

    Join Rise to see the full answer
    What do you consider when designing a data model?

    Discuss the key considerations in designing a data model, such as scalability, performance requirements, and future growth. Provide an instance where your design had a significant impact on a project’s success.

    Join Rise to see the full answer
    How would you handle conflicting priorities from different stakeholders?

    Talk about your approach to balancing conflicting priorities, which might involve discussing how you facilitate communication between stakeholders to determine essential deliverables, and how you manage expectations with clarity and transparency.

    Join Rise to see the full answer
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    DATE POSTED
    April 7, 2025

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