Analytics Engineer

Raylo; Greater London; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading analytics-driven startup in Greater London seeks an ambitious analytics engineer. You will lead the analytics stack and ensure data is clean, reliable, and delivered at speed. The role involves improving pipeline efficiency, managing data structures, and collaborating with various teams to support product launches and international expansion. Excellent SQL and dbt skills are essential, along with a STEM degree and experience in a high-performing data team. The company offers stock options and a hybrid working model.

Benefits

Stock options for all employees

Exclusive device lease

25 days + 8 bank holidays off

L&D budget for skills development

Two performance reviews a year

Enhanced parental leave policies

Workplace nursery scheme

Perkbox membership

Quarterly socials

Summer & Christmas parties

Qualifications

• 4+ years in a high-performing data team.
• Strong SQL and dbt expertise essential.
• Exposure to fast-paced development culture, ideally within consumer-facing products.
• Intense attention to detail and passion for building reliable systems.
• Desire to scale efficient and sustainable data solutions.

Responsibilities

• Take full ownership of dbt models, BigQuery performance, and end-to-end data pipelines.
• Work closely with the VP Strategy and Analytics and the analytics team.
• Improve pipeline efficiency and reduce data latency.
• Be part of a fast-paced, high-ownership environment.
• Take strategic ownership of Raylo’s analytics platform.

Skills

SQL

dbt

Python

Attention to detail

Data pipeline management

Education

STEM degree from a top university

Tools

BigQuery

Looker

Airbyte

ETL tools

Job description

What to Expect

Raylo’s Strategy & Analytics team sits at the heart of the business, powering decisions with fast, reliable and scalable data. As Raylo expands across new partners, new verticals, and into new geographies, the volume, complexity and strategic importance of data continues to grow. We already have strong foundations - modern tooling, a highly capable team and a company culture that is deeply data-driven. We’re looking for an ambitious analytics engineer to lead our analytics platform, an increasingly critical element of our infrastructure.

You’ll take immediate ownership of the analytics stack (dbt, BigQuery, Looker, Airbyte and more). You will ensure that data is clean, reliable, well-structured and delivered at speed. Your work will unblock analysts and the wider business, increase the scale of data we can process and improve the stability and performance of our pipelines. You’ll partner closely with our existing data science team and the wider analytics team to evolve our platform from a solid foundation into a best-in-class system that supports Raylo’s ambitions.

In the short term, your work will remove operational bottlenecks, reduce single points of failure, and improve data availability and latency. This will put you at the heart of decision-making across every part of the business. Longer term, you will define and deliver the strategic architecture that enables Raylo to scale: supporting new product launches, international expansion, advanced ML capabilities, deep funnel optimisation, fraud modelling, and more. This role is foundational to Raylo’s ability to achieve its growth plan.

You’ll Do

• Take full ownership of dbt models, BigQuery performance, and end-to-end data pipelines – Lead continuous improvement of our data CI/CD processes, developing a best in class analytics infrastructure
• Work closely with the VP Strategy and Analytics, the analytics team and wider business (product, engineering, finance, operations) to make sure Raylo’s data is delivering to its potential
• Improve pipeline efficiency, reduce data latency, and build reliable, scalable data structures for analysts and stakeholders.
• Be part of a fast-paced, high-ownership environment where innovation is encouraged, and data underpins every decision.
• Have the opportunity to accelerate your career through massive exposure at a rapidly scaling UK startup that’s got genuine global ambitions
• Take genuine strategic ownership of Raylo’s analytics platform, developing a multi-year plan for your vision

You’ll succeed with

• 4+ years in a high-performing data team, preceded by a STEM degree from a top university
• Strong SQL and dbt expertise essential, with Python knowledge a good addition. Experience with ETL tools and standard data visualisation tools helpful too
• Exposure to fast-paced development culture and environment, ideally within consumer-facing or subscription products
• An intense attention to detail and a passion for building reliable, scalable systems. Also, by setting and enforcing high standards within your domain, both for yourself and wider team members
• The desire to scale, efficient and sustainable data solutions, while keeping up-to-date with analytics engineering best practices and emerging tools.

Opportunities & Benefits

We are continuously improving and listening to our quarterly employee surveys to provide the best opportunities and benefits for our employees.

• Share in Raylo’s success – Stock options for all employees
• Get the latest tech – Exclusive Raylo device lease for employees
• Hybrid working model – that balances flexibility with in-person collaboration, empowering you to do your best work while staying connected with the team.
• 33 days off, your way – 25 days + 8 bank holidays with full flexibility to use on the days that mean the most to you
• Invest in your growth – L&D budget to support the skills you value
• Fast-track your career – Two performance reviews a year
• Family-first policies – Enhanced maternity, paternity, adoption or shared parental leave, if you’ve been with us for 12 months.
• Save big on childcare – Workplace nursery scheme for major cost savings
• Perks on perks – Perkbox membership with discounts & wellbeing benefits
• Good times, guaranteed – Optional quarterly socials, plus summer & Christmas parties

Hiring Process

1. Stage 1: Talent Screening
2. Stage 2: Hiring Manager Interview
3. Stage 3: SQL Test
4. Stage 4: On-site Interview
5. Stage 5: Final: Values-based Interview & Co-founder Final

*As an FCA-regulated business, we conduct background checks (DBS and AML) on all successful candidates who are offered a position at Raylo during the onboarding process.

Diversity & Inclusion at Raylo

At Raylo, we celebrate diversity and are committed to creating an inclusive workplace where everyone can thrive. We welcome people of all backgrounds, experiences, and perspectives, believing they make us stronger.