Senior Analytics Engineer in London

Senior Analytics Engineer in London

London Full-Time 60000 - 75000 £ / year (est.) Home office (partial)
Xbridge Limited

At a Glance

  • Tasks: Design and build AI-ready data models to drive real-time decisions.
  • Company: Simply Business, a tech-driven insurance company empowering small businesses.
  • Benefits: Flexible work, competitive salary, private medical insurance, and generous leave policies.
  • Other info: Inclusive culture that values diverse backgrounds and encourages personal development.
  • Why this job: Join a team where your work directly impacts over 900,000 customers.
  • Qualifications: 3+ years in analytics or data engineering, proficient in cloud tools like Snowflake.

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

Who Are We? 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. We’re a technology company as well as one that sells insurance. That means we build, we fail, we learn and we improve. Through our global social impact strategy, called 'The Big Dreams Project’, we're working to help 10,000 small businesses start or grow by 2030.

What Is the Opportunity? Here's what you'll be doing: Data and Analytics (DNA) is the heartbeat of Simply Business, empowering every decision we make with precision and insight. As our Senior Analytics Engineer, you’ll be at the forefront of this mission, moving beyond standard reporting to build the high-performance, event-driven data models that power our AI and ML future. This role is a unique blend of technical mastery and strategic influence. You won't just be building pipelines; you’ll be pioneering AI readiness by designing low-latency architectures that drive real-time decisions—from dynamic pricing to risk assessment—across our entire global operation.

As one of our Senior Analytics Engineers, you'll:

  • 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 our 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 refreshing, data-led solutions to our customers.

We're looking for someone who is:

  • A seasoned data expert with 3+ years of experience in analytics or data engineering, specifically modeling and transforming data using tools like dbt.
  • Technically proficient in cloud environments, with hands-on experience using Snowflake or Databricks to manage large-scale data assets.
  • Experienced in building ML features, with a passion for creating the infrastructure that makes artificial intelligence possible.
  • Adaptable and curious, ideally bringing familiarity with various programming languages and an interest in evaluating new tools to drive AI adoption.
  • A proactive problem solver who might have experience with real-time streaming (like Apache Flink) or a background in the insurance domain.
  • A relatable communicator who can translate complex technical architecture into plain English for stakeholders across the business.

We know it's tough, but please try to avoid the confidence gap. You don't have to match all the bullet points above to be considered for this role. We encourage people of all different backgrounds and identities to apply. We are committed to maintaining an inclusive, supportive place for you to be you and do your very best work.

What are the benefits of working at Simply Business:

  • We offer a great work-life balance where workloads are manageable and everyone has the flexibility to work hybrid.
  • On top of the 25 days annual leave (plus bank holidays), we offer the option to buy five more days of holiday with your flexible benefits.
  • Our flexible parental leave allows you to approach an important time how you want - with six months full pay to the primary caregiver and four weeks full pay if you're the secondary caregiver.
  • Our life event leave is an extra days leave every two years for those big moments in your life like moving house or your birthday.
  • Long-serving employees get a two week paid sabbatical after five years of service, then four weeks off after ten years of service.
  • Private medical insurance through BUPA, that covers any pre-existing condition is a core benefit. Plus a health cash plan that covers your everyday medical expenses.
  • We offer a competitive salary based on your experience and the current market. Plus the potential to earn an annual bonus based on performance.
  • Access to tools to support your personal development on our dedicated learning platform. As well as support for your mental health with access to counselling.
  • We match what you put into your pension up to five per cent. And pass on a tax-free sum that's four times your basic salary with our life assurance policy, with the option to increase it to ten times through our flexible benefit scheme.
  • Our salary sacrifice car scheme gives you the option to buy a brand new, fully insured, and maintained car for a convenient fixed monthly amount taken from your gross salary (after 6 months service).
  • Our flexible benefits scheme gives you an allocated amount to use each year on benefits like critical illness cover, dental insurance, travel insurance, or a gym membership.

Ready to join us and drive our success as a high-performing team? Apply today.

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 in London employer: Xbridge Limited

Simply Business is an exceptional employer that prioritises employee well-being and professional growth, offering a flexible hybrid work environment and a generous benefits package including 25 days of annual leave, private medical insurance, and a competitive salary with performance bonuses. Our inclusive culture fosters collaboration and innovation, empowering you to make a real impact in the Insurtech space while supporting your personal development through dedicated learning resources.

Xbridge Limited

Contact Details:

Xbridge Limited Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Analytics Engineer in London

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We think you need these skills to ace Senior Analytics Engineer in London

Data Modelling
Data Transformation
dbt
Cloud Environments
Snowflake
Databricks
Machine Learning Feature Engineering

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 Xbridge Limited. 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 Xbridge Limited

Brush Up on Your Statistics

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Get Comfortable with Python and R

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Prepare for Case Studies

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