At a Glance
- Tasks: Lead a high-impact analytics engineering team and improve data quality across the organisation.
- Company: Fast-growing tech company focused on modern data platforms.
- Benefits: Up to £130k salary, equity, private healthcare, and flexible working arrangements.
- Other info: Remote-first culture with opportunities for career growth and development.
- Why this job: Shape the future of data analytics and make a real impact in a dynamic environment.
- Qualifications: Experience in leading analytics teams and strong SQL skills required.
The predicted salary is between 60000 - 80000 £ 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.
- Manage and develop a team of Analytics Engineers, helping establish best practices around modelling, testing, documentation, and delivery standards.
- Enable teams across Product, Growth, Finance, and Operations to confidently access and use high-quality data without heavy reliance on central teams.
- Partner closely with Data Engineering to improve platform scalability, governance, observability, and performance across a GCP-native stack.
- Contribute directly to SQL/dbt development, model reviews, architecture decisions, and analytics workflows where needed.
- Improve Data Quality by establishing testing, lineage, monitoring, and documentation standards to improve trust and consistency across analytics assets.
- Translate complex commercial and product requirements into scalable, maintainable analytics solutions.
Support Product & Commercial Strategy with previous experience leading or mentoring Analytics Engineers, Analytics Developers, or similar modern data teams.
- SQL
- Data modelling
- Data quality/testing frameworks
- Experience partnering with Product, Commercial, or Operational stakeholders in fast-moving environments.
- Experience working in modern cloud-first data environments with strong engineering standards and CI/CD practices.
Benefits include private healthcare, remote-first flexibility with ad hoc London travel, wellness allowance, and flexible working arrangements.
Engineering and Analytics Manager in London employer: KDR Talent Solutions
Join a dynamic technology business that prioritises innovation and employee growth, offering a remote-first work culture with the flexibility to travel to London as needed. As an Analytics Engineering Manager, you'll not only lead a high-impact team but also benefit from competitive compensation, equity options, and a wellness allowance, all while contributing to the evolution of a cutting-edge data platform. This role provides a unique opportunity to shape analytics standards and practices in a fast-paced environment, ensuring your contributions are both meaningful and rewarding.
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We think this is how you could land Engineering and Analytics Manager in London
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We think you need these skills to ace Engineering and Analytics Manager in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at KDR Talent Solutions. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at KDR Talent Solutions
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
