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, private healthcare, and flexible remote work.
- Other info: Great opportunities for learning, development, and career growth.
- 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
- Lead & Mentor: 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.
- Support Product & Commercial Strategy: 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: Data modelling, ELT workflows, Metric governance, Data quality/testing frameworks, 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.
Benefits
- Private healthcare
- Equity package
- Remote-first flexibility with ad hoc London travel
- Learning & development budget
- Wellness allowance
- Flexible working arrangements
Please click apply if this role feels like a strong fit.
Analytics Engineering Manager in Ipswich employer: KDR Talent Solutions
Join a dynamic and innovative technology company that prioritises employee growth and well-being. As an Analytics Engineering Manager, you'll benefit from a remote-first culture with flexible working arrangements, a generous learning and development budget, and the opportunity to shape the future of analytics within a fast-growing organisation. With a strong focus on collaboration and mentorship, this role offers a unique chance to lead a high-impact team while contributing directly to the evolution of data-driven decision-making.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineering Manager in Ipswich
✨Tip Number 1
Network like a pro! Reach out to your connections in the analytics and tech space. Attend meetups or webinars related to data engineering and analytics. You never know who might have a lead on that perfect role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving GCP, BigQuery, and dbt. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common analytics engineering scenarios. Be ready to discuss how you've improved data quality or implemented self-serve analytics in past roles. We want to see your hands-on experience shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Analytics Engineering Manager in Ipswich
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Analytics Engineering Manager role. Highlight your hands-on experience with GCP, BigQuery, and SQL, as well as any leadership roles you've had in analytics teams.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about analytics engineering and how you can contribute to our team. Mention specific projects or achievements that demonstrate your ability to lead and mentor others in a fast-paced environment.
Showcase Your Technical Skills:Don’t shy away from detailing your technical expertise in dbt, data modelling, and ELT workflows. We want to see how you’ve applied these skills in real-world scenarios, so include examples that showcase your problem-solving abilities.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. This way, we can ensure your application gets the attention it deserves and you can easily track your progress!
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 capabilities.
✨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 processes. This will demonstrate your ability to manage a high-impact analytics engineering function.
✨Understand Business Needs
Familiarise yourself with how analytics can drive product and commercial strategies. Be prepared to discuss how you would translate complex requirements into scalable analytics solutions that support decision-making across various teams.
✨Emphasise Collaboration Skills
Since this role involves partnering with different stakeholders, think of examples where you successfully collaborated with product, growth, or finance teams. Show how you can balance strategic leadership with hands-on contributions to foster a collaborative environment.
