Senior Analytics Engineer

Senior Analytics Engineer

Full-Time 60000 - 75000 £ / year (est.) Home office (partial)
Simply Business

At a Glance

  • Tasks: Build high-performance data models and integrate diverse data sources for AI and ML.
  • Company: Simply Business, empowering small businesses with innovative insurance solutions.
  • Benefits: Great work-life balance, flexible leave, competitive salary, and health benefits.
  • Why this job: Join a dynamic team shaping the future of data-driven decision-making.
  • Qualifications: 3+ years in analytics or data engineering, proficient in cloud environments.
  • Other info: Mentorship opportunities and a commitment to equality in the workplace.

The predicted salary is between 60000 - 75000 £ per year.

About the Company

We insure small businesses and enable big dreams – not just for our customers, but for our people and communities too. With over 1,000,000 active insurance policies, we protect builders, bakers, landlords and more than 1,200 other trades.

Position Overview

Technology – Senior Analytics Engineer

Position Type: Permanent

Target Openings: 1

What Is the Opportunity?

Data and Analytics (DNA) is the heartbeat of Simply Business, empowering every decision we make with precision and insight. As Senior Analytics Engineer you will build high‑performance, event‑driven data models that power our AI and ML future, designing low‑latency architectures for real‑time decisions across our global operation.

Responsibilities

  • Design and build authoritative data models in our warehouse, ensuring every asset is robust, scalable, and fully AI/ML ready.
  • Integrate diverse new data sources to enrich our analytical capabilities and provide the complex datasets required for advanced machine learning.
  • Collaborate across engineering and product teams to ensure application designs support sophisticated reporting and real‑time AI features.
  • Manage and optimise ELT pipelines that serve as the single source of truth for Finance, Operations, and Marketing teams.
  • Champion technical standards by mentoring junior engineers and driving best practices in data governance and quality assurance.
  • Pioneer feature engineering pipelines that allow us to challenge the status quo and deliver data‑led solutions to our customers.

Qualifications

  • 3+ years of experience in analytics or data engineering, specifically modeling and transforming data using tools like dbt.
  • Proficient in cloud environments, with hands‑on experience using Snowflake or Databricks to manage large‑scale data assets.
  • Experienced in building ML features, passionate about infrastructure that makes AI possible.
  • Adaptable and curious, familiar with various programming languages and eager to evaluate new tools to drive AI adoption.
  • Proactive problem‑solver with experience in real‑time streaming (e.g., Apache Flink) or a background in the insurance domain.
  • Effective communicator who can translate complex technical architecture into plain English for stakeholders across the business.

Benefits

  • Great work‑life balance and hybrid flexibility.
  • 25 days annual leave plus bank holidays; option to buy five more days.
  • Flexible parental leave – six months full pay as primary caregiver, four weeks full pay for secondary caregiver.
  • Life event leave – extra days every two years for big personal moments.
  • Paid sabbatical after five and ten years of service.
  • Private medical insurance through BUPA plus a health cash plan.
  • Competitive salary with potential annual bonus.
  • Dedicated learning platform and mental health support.
  • Employer pension match up to 5% and additional tax‑free life assurance.
  • Salary sacrifice car scheme after six months of service.
  • Flexible benefits scheme for critical illness cover, dental, travel, gym and more.

Employment Practices

Simply Business is committed to providing equality and opportunities for all employees and candidates considering a career with us. We offer a workplace where colleagues are treated with respect and dignity. We don’t (and won’t) discriminate either directly or indirectly on the grounds of race, colour, religion, belief, political opinion, disability, nationality, ethnic origin, sex, sexual orientation or relationship status at any stage of the hiring process or during the course of your employment.

Senior Analytics Engineer employer: Simply Business

Simply Business is an exceptional employer that prioritises the well-being and growth of its employees, offering a great work-life balance and hybrid flexibility. With a commitment to professional development through dedicated learning platforms and generous benefits like flexible parental leave and paid sabbaticals, we foster a culture of respect and inclusivity, making it an ideal place for those looking to thrive in their careers while contributing to meaningful projects in the insurance sector.
Simply Business

Contact Detail:

Simply Business Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Analytics Engineer

✨Tip Number 1

Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. A friendly chat can give you insider info and maybe even a referral.

✨Tip Number 2

Show off your skills in real-time! If you get the chance, do a live coding challenge or a technical interview. It’s your moment to shine and demonstrate how you tackle problems on the spot.

✨Tip Number 3

Prepare for those tricky questions! Brush up on your knowledge of data models and machine learning. Being able to explain complex concepts simply will impress the interviewers.

✨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.

We think you need these skills to ace Senior Analytics Engineer

Data Modelling
Event-Driven Architecture
AI/ML Readiness
Data Integration
ELT Pipeline Management
Data Governance
Quality Assurance
Feature Engineering
dbt
Snowflake
Databricks
Real-Time Streaming
Apache Flink
Effective Communication
Problem-Solving

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your CV and cover letter for the Senior Analytics Engineer role. Highlight your experience with data modelling, cloud environments, and any relevant tools like dbt, Snowflake, or Databricks. We want to see how your skills align with our needs!

Showcase Your Projects: Include specific examples of projects you've worked on that demonstrate your ability to build high-performance data models and manage ELT pipelines. We love seeing real-world applications of your skills, so don’t hold back!

Communicate Clearly: When writing your application, remember to keep it clear and concise. Use plain English to explain complex technical concepts, as we value effective communication across all teams. This will show us you can bridge the gap between tech and business.

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 gives you a chance to explore more about Simply Business while you're at it!

How to prepare for a job interview at Simply Business

✨Know Your Data Tools

Make sure you’re well-versed in the tools mentioned in the job description, like dbt, Snowflake, and Databricks. Brush up on your experience with these platforms and be ready to discuss specific projects where you’ve used them to build data models or manage large-scale data assets.

✨Showcase Your Problem-Solving Skills

Prepare examples of how you've tackled complex data challenges in the past. Whether it’s optimising ELT pipelines or integrating new data sources, having concrete examples will demonstrate your proactive problem-solving abilities and your fit for the role.

✨Communicate Clearly

Since effective communication is key, practice explaining technical concepts in simple terms. Think about how you would describe your work to non-technical stakeholders. This will show that you can bridge the gap between technical and non-technical teams.

✨Emphasise Collaboration

Highlight your experience working with cross-functional teams. Be prepared to discuss how you’ve collaborated with engineering and product teams to support reporting and AI features. This will illustrate your ability to work well in a team-oriented environment.

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