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Analytics Engineer London

Checkout Ltd

City of London

On-site

GBP 60,000 - 80,000

Full time

30+ days ago

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Job summary

A leading fintech company in London is hiring an Analytics Engineer to enable key insights into product performance and manage data models using advanced tools like dbt and Snowflake. This role requires proven analytics engineering experience, strong SQL skills, and the ability to work in a collaborative environment. Join this dynamic team that values performance and flexibility, with a hybrid working model offering three days a week in the office.

Benefits

Hybrid working model
Real ownership in projects
Opportunities for growth

Qualifications

  • Proven experience in analytics engineering or business intelligence.
  • Hands-on skills in data modeling demonstrated in large-scale environments.
  • Excellent SQL skills and experience with data transformation.

Responsibilities

  • Design and implement scalable data models for the data warehouse.
  • Work with teams to provide data ready for analysis and reporting.
  • Champion data warehouse governance and best practices.

Skills

Data modeling
SQL
Data warehousing
Analytics engineering
Cloud technologies

Tools

Snowflake
AWS
Google Cloud
Microsoft Azure
dbt
Job description
Link to Privacy Policy Link to Cookie PolicyAnalytics Engineer page is loaded## Analytics Engineerlocations: Londontime type: Full timeposted on: Posted Todayjob requisition id: R8277****Company Description****Checkout.com is where the world checks out. Our global network powers billions of transactions every year, making money move without making a fuss. We spent years perfecting a service most people will never notice. Because when digital payments just work, businesses grow, customers stay, and no one stops to think about why.With 19 offices spanning six continents, we feel at home everywhere – but London is our HQ. Wherever our people work their magic, they’re fast-moving, performance-obsessed, and driven by being better every day. Ideal. Because a role here isn’t just another job; it’s a career-defining opportunity to build the future of fintech.****Job Description****As a Data Analytics Engineer at Checkout you will be responsible for enabling key insights on how products are performing and establishing a single source of truth for North Star and tracking metrics, working closely with product managers and product data scientists to shape the product’s evolution at Checkout. You'll have the opportunity to build new data products and introduce step changes in how we view analytics for these critical areas. You'll have end-to-end ownership of multiple data products from design to implementation to the operationalisation. **How You’ll Make An Impact*** Design and implement high-performance, reusable, and scalable data models for our data warehouse using dbt and Snowflake* Design and implement Looker structures (explores, views, etc) which will enable users across the organization to self-serve analytics* Work closely with data analysts and business teams to understand business requirements and provide data ready for analysis and reporting* Continuously discover, transform, test, deploy and document data sources and data models* Apply, help define, and champion data warehouse governance: data quality, testing, documentation, coding best practices and peer reviews* Take initiative to improve and optimise analytics engineering workflows and platforms**Key Requirements*** Proven delivery experience as a data, business intelligence or analytics engineer* Hands-on proven data modeling and data warehousing skills demonstrated in large-scale data environments* Proven experience in software development lifecycle in analytics (e.g. version control, testing, and CI/CD)* Excellent SQL and data transformation skills (e.g. ideally proficient in dbt or similar)* Familiarity with at least one of these Cloud technologies: Snowflake, AWS, Google Cloud, Microsoft Azure* Passionate about sales, finance, customer, marketing and/or product analytics data* Good attention to detail to highlight and address data quality issues****Bring all of you to work****We create the conditions for high performers to thrive – through real ownership, fewer blockers, and work that makes a difference from day one.Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity – and where your growth is in your hands.We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here.It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable.****Life at Checkout.com****We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.to learn more about our culture, open roles, and what drives us.For a closer look at daily life at Checkout.com, follow us on and
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