At a Glance
- Tasks: Lead a high-impact analytics engineering team and shape data delivery standards.
- Company: Fast-growing tech company focused on modern data platforms.
- Benefits: Competitive salary, equity package, wellness allowance, and flexible remote work.
- Other info: Remote-first culture with opportunities for career growth and ad hoc London travel.
- Why this job: Make a real impact on data-driven decision-making in a dynamic environment.
- Qualifications: Experience leading analytics teams and strong skills in BigQuery, SQL, and GCP.
The predicted salary is between 117500 - 130000 £ per year.
KDR have partnered with a fast-growing technology business building a modern data platform at the centre of how the organisation scales product, commercial, and operational decision-making. Following a significant growth phase over the last few years, the business are now investing heavily in the maturity of their analytics engineering capability. They already have strong foundations in place across GCP and BigQuery, but are now looking for someone to help formalise standards, improve self‑serve analytics, and shape how trusted business data is delivered across the organisation.
As Analytics Engineering Manager, you’ll lead a small but high-impact analytics engineering function while remaining hands‑on with modelling, architecture, and platform direction. This role sits between Data Engineering, Product Analytics, and commercial stakeholders, helping ensure data is reliable, scalable, and genuinely useful to the business. Reporting into the Director of Data, you’ll play a key role in defining how data products are structured, governed, and consumed across the company.
What you’ll do
- Manage and develop a team of Analytics Engineers, helping establish best practices around modelling, testing, documentation, and delivery standards.
- Own the Semantic Layer: Shape and maintain trusted business definitions and scalable dbt models powering reporting, experimentation, and operational analytics.
- Build Self‑Serve Analytics: Enable teams across Product, Growth, Finance, and Operations to confidently access and use high‑quality data without heavy reliance on central teams.
- Drive Platform Evolution: Partner closely with Data Engineering to improve platform scalability, governance, observability, and performance across a GCP‑native stack.
- Hands‑On Delivery: Contribute directly to SQL/dbt development, model reviews, architecture decisions, and analytics workflows where needed.
- Improve Data Quality: Establish testing, lineage, monitoring, and documentation standards to improve trust and consistency across analytics assets.
- Partner with the Business: Translate complex commercial and product requirements into scalable, maintainable analytics solutions. Deliver reliable datasets and metrics that support growth initiatives, experimentation, customer insight, forecasting, and operational decision‑making.
What you’ll bring
- Previous experience leading or mentoring Analytics Engineers, Analytics Developers, or similar modern data teams.
- Strong hands‑on experience with: BigQuery, dbt, SQL, Looker, GCP‑native analytics environments.
- Strong understanding of metric governance and self‑serve analytics principles.
- Experience partnering with Product, Commercial, or Operational stakeholders in fast‑moving environments.
- Comfortable balancing strategic leadership with hands‑on technical contribution.
- Experience working in modern cloud‑first data environments with strong engineering standards and CI/CD practices.
Equity package, remote‑first flexibility with ad hoc London travel, wellness allowance, flexible working arrangements.
Analytics Engineering Manager, GCP Platform | Remote employer: KDR Talent Solutions
Join a dynamic and innovative technology company that prioritises employee growth and well-being, offering a remote-first work culture with flexible arrangements and an equity package. As an Analytics Engineering Manager, you'll lead a high-impact team while enjoying the benefits of a supportive environment that fosters collaboration and professional development, all while contributing to the evolution of a cutting-edge data platform in London.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineering Manager, GCP Platform | Remote
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. A personal connection can often get your foot in the door faster than a CV.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving GCP, BigQuery, and dbt. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common questions related to analytics engineering. Be ready to discuss how you've tackled challenges in past roles, especially around data quality and self-serve analytics.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining us and contributing to our mission of building a robust analytics engineering function.
We think you need these skills to ace Analytics Engineering Manager, GCP Platform | Remote
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Analytics Engineering Manager. Highlight your experience with GCP, BigQuery, and any leadership roles you've had. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about analytics engineering and how you can contribute to our team. Be sure to mention specific projects or achievements that relate to the job description.
Showcase Your Technical Skills:Since this role involves hands-on work with SQL, dbt, and analytics workflows, make sure to include relevant examples in your application. We love seeing how you've tackled challenges in past roles using these tools!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at KDR Talent Solutions
✨Know Your Tech Stack
Make sure you’re well-versed in GCP, BigQuery, and dbt. Brush up on your SQL skills too! Be ready to discuss how you've used these technologies in past projects and how they can be applied to improve analytics engineering practices.
✨Showcase Leadership Experience
Prepare examples of how you've led or mentored teams in the past. Highlight specific instances where you established best practices or improved team performance. This will demonstrate your ability to manage and develop a high-impact analytics engineering function.
✨Understand Business Needs
Familiarise yourself with how analytics can drive business decisions. Be prepared to discuss how you’ve translated complex requirements into scalable analytics solutions. This shows that you can bridge the gap between technical and commercial stakeholders.
✨Be Hands-On
Don’t shy away from discussing your hands-on experience with model reviews and architecture decisions. Share your approach to improving data quality and how you’ve implemented testing and monitoring standards in previous roles.
