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- Tasks: Lead the evolution of our data platform and build innovative AI solutions.
- Company: Ciphr, a people-first tech company focused on data and analytics.
- Benefits: Private medical, 30 days holiday, remote work options, and more perks.
- Why this job: Shape the future of data and AI while mentoring the next generation of engineers.
- Qualifications: Experience as a Senior Analytics Engineer and strong DevOps skills.
- Other info: Join a supportive culture that values your growth and individuality.
The predicted salary is between 36000 - 60000 £ per year.
Be the technical force behind Ciphr’s data & AI platform. We’re scaling our Data Science & Analytics capability and looking for a Senior Analytics Engineer to turn architectural vision into robust, production-ready data & AI solutions. You’ll lead on pipelines, semantic models and LLM-powered features, set the engineering bar, and mentor others - so our teams (and customers) can trust insights at scale.
What you’ll own and deliver:
- Lead the evolution of our strategic data platform across Snowflake, dbt, Fabric and Power BI, designing for reliability, scalability and reusability.
- Build and optimise data & AI workflows, including LLM integrations, MCP servers, and AI DevOps for evaluation/monitoring/logging.
- Embed security and compliance into every solution.
- Mentor analytics engineers and act as a trusted technical delegate for the Director of Data Science & Analytics when needed.
What good looks like here:
- Secure, scalable, well‑documented production systems with measurable performance gains, high adoption of Ciphr Analytics/AI features, and visible innovation across data, AI and automation.
- Demonstratable reliability and performance improvements across key pipelines and workloads.
- High adoption and satisfaction rates for Ciphr Analytics and AI-enabled features, with low-friction access, usability, and integration across the business.
- Increased technical confidence and independence of junior engineers through mentoring.
- Clear evidence of innovation and optimisation across data, AI and automation workflows.
- Full compliance with data security and governance, contractual, and audit requirements.
What you’ll bring:
- Proven success as a Senior Analytics Engineer / Senior Data Engineer.
- Strong CI/CD, DevOps, Terraform/Azure DevOps; confident with AI productivity tools (e.g., GitHub Copilot).
- Communication, documentation and mentoring skills that elevate the whole team.
How we work:
Hybrid, UK‑based: outcome‑focused with regular in‑person anchor days for collaboration (typically monthly), and flexible presence aligned to role/team needs.
Why Ciphr:
We put people first and live our values of Trust, Accountability, Service Excellence and Authenticity—and we’re growing a culture where your personal and professional growth matters.
Benefits that matter:
- Private medical (Bupa), dental, health cash plan, life assurance, income protection, pension, 30 days’ holiday + bank holidays, birthday day off, volunteering days, National Trust family membership, cycle to work, tech loans, and more.
- Plus a Work From Anywhere benefit for up to 4 weeks per tax year (subject to policy).
Apply now. Bring your craft, curiosity and leadership to a team that’s shaping how UK organisations use people data.
Inclusion at Ciphr — We’re building an inclusive, flexible, supportive culture where individuality is celebrated (including employee resource groups and community). If you need adjustments at any stage, just let us know.
Senior Analytics Engineer in Reading employer: Ciphr
Contact Detail:
Ciphr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analytics Engineer in Reading
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to data pipelines and AI solutions. 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 your technical knowledge and soft skills. Practice common interview questions and be ready to discuss how you've tackled challenges in previous roles.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at Ciphr.
We think you need these skills to ace Senior Analytics Engineer in Reading
Some tips for your application 🫡
Show Your Technical Skills: Make sure to highlight your experience with data platforms like Snowflake, dbt, and Power BI. We want to see how you've turned architectural visions into real-world solutions, so don’t hold back on the details!
Emphasise Mentoring Experience: Since mentoring is a big part of this role, share examples of how you've helped junior engineers grow. We love seeing how you’ve elevated your team’s skills and confidence!
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to describe your achievements and how they align with our goals at Ciphr. We appreciate a well-structured application that’s easy to read!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Ciphr
✨Know Your Tech Stack
Familiarise yourself with the specific technologies mentioned in the job description, like Snowflake, dbt, and Power BI. Be ready to discuss how you've used these tools in past projects and how they can be applied to Ciphr’s data platform.
✨Showcase Your Mentoring Skills
Since mentoring is a key part of this role, prepare examples of how you've successfully guided junior engineers or team members in the past. Highlight your communication style and how you foster a collaborative environment.
✨Demonstrate Problem-Solving Abilities
Be prepared to discuss specific challenges you've faced in previous roles, particularly around building scalable data solutions or optimising workflows. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Align with Company Values
Ciphr values Trust, Accountability, Service Excellence, and Authenticity. Think about how your personal values align with these and be ready to share examples that demonstrate your commitment to these principles during the interview.
