Checkout.com Logo

Checkout.com

Data Analytics Engineer

Sorry, this job was removed at 06:23 p.m. (GMT) on Thursday, Mar 06, 2025
Be an Early Applicant
Hybrid
London, Greater London, England
Hybrid
London, Greater London, England

Company Description

We're Checkout.com

Checkout.com is one of the most exciting fintechs in the world. Our mission is to enable businesses and their communities to thrive in the digital economy. We’re the strategic payments partner for some of the best known fast-moving brands globally such as Wise, The Hut Group, Sony Electronics, Sainsbury’s, Deliveroo, Adidas, Klarna and many others. Purpose-built with performance and scalability in mind, our flexible cloud-based payments platform helps global enterprises launch new products and create experiences customers love. And it's not just what we build that makes us different. It's how.

We empower passionate problem-solvers to collaborate, innovate and do their best work. That’s why we’re on the Forbes Cloud 100 list and a Great Place to Work accredited company. And we’re just getting started. We’re building diverse and inclusive teams around the world — because that’s how we create even better experiences for our merchants and our partners. And we need your help. Join us to build the digital economy of tomorrow.

Job Description

You will be joining the Financial Infrastructure team, responsible for building and maintaining the core systems powering our internal financial ecosystem. Every year, we process hundreds of billions of events that have a financial impact on Checkout.com and our merchants. Our team is responsible for maintaining an accurate record of all financial data, the data integrity of our systems and ensuring our infrastructure meets regulatory and compliance obligations in a scalable, reliable and fault-tolerant manner.

As an Analytics Engineer, you will play a pivotal role in our mission to make our financial data capabilities world-class. You will work closely with our Finance and Treasury teams to translate their requirements into robust and intuitive data models. You will design and build the data pipelines necessary to process and transform large amounts of data that our systems generate. You will be responsible for ensuring the accuracy and reliability of these data pipelines, as Checkout continues to scale as a business. You will have ownership over these processes, allowing you to take charge in maintaining a high standard of data quality.

How you’ll make an impact

  • Design and build data pipelines to process data from our systems, services and applications.
  • Implement monitoring and alerting frameworks to ensure data pipeline performance and reliability.
  • Partner with other analytics engineers to design and implement scalable data models that support downstream business operations and analytical queries.
  • Ensure data governance and security standards are maintained across our systems.
  • Continuously evaluate and implement new technologies to improve our platform and systems.
  • Collaborate with Finance stakeholders to translate business requirements into technical specifications and Service Level Agreements.

Qualifications

  • 2+ years of experience in an analytics engineering or data engineering role with a focus on large scale data transformation and data warehousing.
  • Excellent SQL coding skills.
  • Experience with cloud-based data warehouse technologies such as Snowflake, Google BigQuery, or AWS Redshift.
  • Experience with data transformation tools such as dbt, or Dataflow.
  • Understanding of data modeling techniques.
  • Experience with using visualisation platforms such as Looker, Tableau, or Apache Superset.
  • Understanding of software engineering best practices and their application to data processing systems.
  • Knowledge of Python, Java or Flink is a plus, but not a necessity.
  • Strong attention to detail.
  • Ability to work autonomously in a fast-paced and dynamic environment.
  • Strong communication and interpersonal skills.

Additional Information

Apply without meeting all requirements statement 

If you don't meet all the requirements but think you might still be right for the role, please apply anyway. We're always keen to speak to people who connect with our mission and values.

We believe in equal opportunities

We work as one team. Wherever you come from. However you identify. And whichever payment method you use. 

Our clients come from all over the world — and so do we. Hiring hard-working people and giving them a community to thrive in is critical to our success.

When you join our team, we’ll empower you to unlock your potential so you can do your best work. We’d love to hear how you think you could make a difference here with us. 

We want to 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. We’ll be happy to support you.

Take a peek inside life at Checkout.com via

  • Our Culture video https://youtu.be/BEwnpHuadSw
  • Our careers page https://www.checkout.com/careers
  • Our LinkedIn Life pages bit.ly/3OaoN1U
  • Our Instagram https://www.instagram.com/checkout_com/

Similar Jobs

2 Days Ago
Lower Place, London, England, GBR
Mid level
Mid level
Fintech • HR Tech • Insurance • Consulting
The Data Engineer will develop and maintain data pipelines and systems for client portfolio evaluation and reinsurance analytics. Responsibilities include designing data models, automating processes, collaborating with clients, and enhancing analytics tools, while ensuring data integrity and accuracy.
Top Skills: AlteryxPower BIPythonSQL
7 Days Ago
Easy Apply
Hybrid
London, Greater London, England, GBR
Easy Apply
Mid level
Mid level
Fintech • Information Technology • Insurance • Software
As an Analytics Engineer, you will create data models in Snowflake, integrate new data sources, collaborate with teams to ensure robust analytics architecture, and communicate insights to stakeholders. Your role supports decision-making and operational efficiency across the organization.
Top Skills: DbtETLLookerPower BISnowflakeSQLTableau
15 Days Ago
Hybrid
Bournemouth, Dorset, England, GBR
Senior level
Senior level
Financial Services
As a Lead Data Engineer, you will create and maintain data collection, storage, and analytics solutions. You are responsible for generating data models, designing and implementing data pipelines, and ensuring effective access control. Your role includes delivering data visualization solutions while collaborating with stakeholders to align on data requirements, all within a culture that values diversity and inclusion.

What you need to know about the London Tech Scene

London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account