Gymshark on cord

Gymshark

Lead Data Engineer

External position
Solihull, UK
Hiring internally for Gymshark?
E-Commerce ยท Fashion ยท Sport
We do gym.
Posted
a month ago
Checked
cord regularly checks that external positions are still open
2 days ago

Skills & Experience

Job roles: Data Engineer
Experience level: Lead
Core skills considered: Big Data, Data Architecture, Data Pipelines, Data Modeling, Python
Other skills considered: SQL, Airflow, CI/CD, Terraform

Logistics

Base salary: Undisclosed
Some companies on cord are unable to disclose salaries publicly due to internal company policies. Message the company for salary information.
Employment type: Permanent
Remote working: Hybrid (up to 2 remote days p/w)
Visa sponsorship: Not available

Job Description

This role exists to provide technical leadership within the data engineering team, setting the standard for engineering excellence while remaining deeply hands-on. The Lead Data Engineer drives the design and delivery of scalable, resilient data platforms and pipelines that underpin Gymshark's ambition to be a truly data driven business. Sitting at the intersection of craft and collaboration, this role shapes technical direction, raises the capability of those around them, and ensures the team builds the right things in the right way.


What you'll be doing:

Technical Leadership:

  • Own and drive the technical design and architecture of data pipelines, data models, and platform components across the team.
  • Set and enforce engineering standards: code quality, testing, observability, security, and documentation, ensuring the whole team operates to them
  • Lead technical discovery, design sessions, and code reviews, providing constructive, actionable feedback that elevates team output.
  • Identify and drive resolution of technical debt, proactively surfacing risks and proposing pragmatic solutions.
  • Evaluate emerging tools and technologies (within the GCP ecosystem and beyond) and make grounded recommendations to the Data Engineering Manager.
  • Work with the Data Engineering manager to find solutions to complex or ambiguous data engineering problems, unblocking the team and stakeholders.
  • Ensure architectural decisions align with Gymshark's data strategy, platform vision, and evolving business needs.
  • Champion a culture of engineering excellence through example, documentation, and knowledge sharing.

Delivery:

  • Own and drive the technical design and architecture of data pipelines, data models, and platform components across the team.
  • Set and enforce engineering standards: code quality, testing, observability, security, and documentation, ensuring the whole team operates to them.
  • Lead technical discovery, design sessions, and code reviews, providing constructive, actionable feedback that elevates team output.
  • Identify and drive resolution of technical debt, proactively surfacing risks and proposing pragmatic solutions.
  • Evaluate emerging tools and technologies (within the GCP ecosystem and beyond) and make grounded recommendations to the Data Engineering Manager.
  • Work with the Data Engineering manager to find solutions to complex or ambiguous data engineering problems, unblocking the team and stakeholders.
  • Ensure architectural decisions align with Gymshark's data strategy, platform vision, and evolving business needs.
  • Champion a culture of engineering excellence through example, documentation, and knowledge sharing.

People & Craft:

  • Mentor and coach Data Engineers (Junior through Senior), supporting their technical growth and career progression.
  • Facilitate knowledge sharing sessions, pairing, and documentation to build collective capability and reduce knowledge silos.
  • Contribute to hiring: lead technical interviews, calibrate assessments, and help onboard new team members effectively.
  • Partner with the Data Engineering Manager on team development planning, identifying skill gaps and proposing learning opportunities.
  • Ensure team members feel supported, challenged, and set up to do their best work.

Governance & Collaboration:

  • Partner with Data Governance to embed data quality, access control, and privacy by design into all engineering work.
  • Collaborate cross functionally with Data Product, and wider Tech teams to ensure joined up platform delivery.
  • Maintain accurate and comprehensive technical documentation: architecture decision records, runbooks, pipeline specs, and data dictionaries.
  • Uphold data governance, security, and compliance standards across all data engineering activities.

What you'll need:

Essential Criteria:

  • Strong experience in data engineering in a senior or lead-level technical role.
  • Deep expertise in Google Cloud Platform: BigQuery, Dataflow, Pub/Sub, Cloud Storage, and Cloud Composer (Airflow) as the primary data platform stack.
  • Advanced Python and SQL skills, including writing performant, production grade code and conducting rigorous code reviews.
  • Proven experience designing and building complex, scalable data pipelines using both batch and streaming/event driven patterns.
  • Strong data modelling skills: dimensional modelling, data vault, or equivalent, with a track record of building well structured, reusable BigQuery data models.
  • Experience with Dataform (or equivalent SQL based transformation tools) for orchestrating transformations within BigQuery at scale.
  • Solid understanding of software engineering principles: CI/CD, version control (Git), testing frameworks, and infrastructure as code (Terraform).
  • Demonstrated ability to embed data quality, observability, and alerting into pipelines (automated validation, anomaly detection, monitoring).
  • Experience leading technical design sessions, owning architecture decisions, and communicating trade offs clearly to both technical and non technical audiences.
  • Track record of mentoring or coaching engineers and growing technical capability within a team.
  • Strong cross functional collaboration and stakeholder management skills, with experience translating business requirements into technical solutions.

Preferred Skills & Experience:

  • Experience with DataProc (Spark) for large scale distributed data processing workloads.
  • Familiarity with Looker or similar BI tooling, and an understanding of how data models feed downstream analytics and reporting.
  • Exposure to analytics engineering practices and tooling (e.g. dbt conceptual patterns, data contracts, semantic layers).
  • Experience in e-commerce or retail data environments is desirable.
  • Familiarity with data mesh or data platform architecture patterns and their practical application in a scaled organisation.
  • Experience with GCP cost management and BigQuery cost optimisation strategies.
  • Broader exposure to ML infrastructure, feature engineering pipelines, or data science platform enablement.

Company Benefits

  • ๐Ÿ™Œ Competitive โ€˜Win Together, Lose Togetherโ€™ Bonus
  • ๐Ÿฉบ Choice of Private Medical Insurance or Healthcare Cash Plan, paid for by us!
  • ๐Ÿ– 25 days holidays + your birthday and all the Bank Holidays which can be substituted and taken whenever you want.
  • ๐Ÿ’ป A truly Flexible Working Culture
  • ๐Ÿ‘ฅ A collaborative, creative and inspiring working environment
  • ๐Ÿ’ฐ Employer pension contributions up to 7%
  • ๐Ÿคฉ Life Assurance at four times your basic salary
  • ๐Ÿฆˆ 50% Gymshark Discount
  • ๐ŸŽ Gymshark Gift Card for each year of service
  • ๐Ÿ›๏ธ Discounts, Cashback and Savings programme
  • ๐Ÿฅ‡ Financial, Physical and Mental Wellbeing Support
  • ๐Ÿ“š Great Training and Learning Resources
  • ๐Ÿ–ฅ Choice of hardware and access to the best software
  • ๐Ÿค’ Paid time off when youโ€™re physically and mentally unwell
  • ๐Ÿงธ Very Generous Family Leave package โ€“ we support you extending your family
  • ๐ŸŽ Refuel - Healthy fresh food at GSHQ
  • ๐Ÿ‹๏ธโ€โ™‚๏ธ Lifting Club (LC) Gym Membership
  • ๐Ÿ‘‰ Free monthly massages
  • ๐Ÿ’ˆ Beauty and Barber facilities
  • ๐Ÿš˜ Free on-site parking
Lead Data Engineer at Gymshark
Position posted a month ago

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Starling Bank on cord

Starling Bank

Full Stack Engineer (ML Ops)

London, UK
FinTech ยท Banking ยท Finance
A better bank for everyone
Active
over 6 months ago
Responds to
0% of requests
Responds in
1h 55m
Requests
7 pending

Skills & Experience

Job roles: Full Stack
Experience level: Mid, Senior
Core skills considered: Java, React, Redux, AWS, JavaScript

Logistics

Base salary: ยฃ70K - ยฃ110K
Employment type: Permanent
Remote working: Hybrid (up to 2 remote days p/w)
Visa sponsorship: Not available

Job Description

Starling is the UKโ€™s first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time.

Starling is the UKโ€™s first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way.

Weโ€™re a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. Weโ€™re a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices.

Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together!

The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness.

Hybrid Working

We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. We don't like to mandate how much you visit the office and work from home, that's to be agreed upon between you and your manager.

Our Data Environment

Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective and agile decision making, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech.

We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good.

Requirements

We have built our entire banking platform in house and mostly in Java. We are looking for people who want to work on building the tooling that is used by our engineers on a daily basis.

We are looking for people who are truly full stack, and are as comfortable polishing their javascript front end as they are debugging the innards of their java applications database interactions, or standing up infrastructure with terraform. We are looking for people who can:

  • Design REST apis.
  • Code backend services, ideally using Java, or another other server side compiled language.
  • Develop modern front ends, ideally using React and Redux.
  • Get their code into the cloud and support it there, ideally on AWS.
  • Believe in clean coding, simple solutions, automated testing and continuous deployment.
  • Like to take ownership of a feature from the original idea through to live.
  • Think (like us) that a small number of empowered developers is the right way to deliver software.

Company Benefits

  • 33 days holiday (including flexible bank holidays)
  • An extra dayโ€™s holiday for your birthday
  • 16 hours paid volunteering time a year
  • Part-time and/or flexible hours available for most roles
  • Salary sacrifice, company enhanced pension scheme
  • Life insurance at 4x your salary
  • Hybrid/remote working
  • Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton
  • Generous family-friendly policies
  • Varied social groups set up and run by our employees
  • Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks
  • Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing

Full details are available on our careers site

Interview Process

Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team:

  • Stage 1 - 30 mins with one of the team
  • Stage 2 - Take home challenge
  • Stage 3 - 90 mins technical interview with two team members
  • Stage 3 - 45 min final with an executive and a member of the people team
Alex Yeates on cord
Message Alex Yeates at Starling Bank
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