Data Analytics Engineer London

Checkout Ltd; London; On-site; GBP 50,000 - 90,000; Full time

Job summary

An innovative fintech company is seeking a skilled Analytics Engineer to enhance their financial data capabilities. In this role, you will design and implement robust data pipelines, ensuring data integrity and compliance. Collaborating closely with Finance teams, you will translate business needs into effective data models. This position offers a unique opportunity to work in a dynamic environment, contributing to the digital economy's future. Join a diverse team that values collaboration and innovation, and make a significant impact in a rapidly evolving industry.

Qualifications

• 2+ years of experience in analytics engineering or data engineering.
• Strong understanding of data modeling techniques and data governance.

Responsibilities

• Design and build data pipelines to process data from various systems.
• Maintain data governance and security standards across systems.

Skills

Analytics Engineering

Data Transformation

Data Warehousing

Data Modeling

Attention to Detail

Communication Skills

Education

Bachelor's Degree in Computer Science or related field

Tools

Snowflake

Google BigQuery

AWS Redshift

dbt

Looker

Tableau

Apache Superset

Job description

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, ensuring data integrity, and that 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 making 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 data pipelines to process and transform large data volumes generated by our systems. You will be responsible for ensuring the accuracy and reliability of these data pipelines, maintaining high data quality standards as Checkout continues to grow. You will own these processes and take charge of maintaining data integrity and performance.

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 supporting business operations and analytics.
• Maintain data governance and security standards across our systems.
• Continuously evaluate and adopt new technologies to improve our platform and systems.
• Collaborate with Finance stakeholders to translate business requirements into technical specifications and SLAs.

Qualifications

• 2+ years of experience in analytics engineering or data engineering, focusing on large-scale data transformation and warehousing.
• Experience with cloud data warehouses such as Snowflake, Google BigQuery, or AWS Redshift.
• Experience with data transformation tools like dbt or Dataflow.
• Understanding of data modeling techniques.
• Experience with visualization platforms such as Looker, Tableau, or Apache Superset.
• Knowledge of software engineering best practices applied to data systems.
• Python, Java, or Flink knowledge is a plus but not required.
• Strong attention to detail and ability to work independently in a fast-paced environment.
• Excellent communication and interpersonal skills.

Additional Information

Apply without meeting all requirements

If you don’t meet all the requirements but believe you are suitable, please apply anyway. We’re eager to connect with people aligned with our mission and values.

We believe in equal opportunities

We work as one team, regardless of background, identity, or payment method used.

Our clients are worldwide, and so are we. We value hard-working individuals and providing a supportive community for everyone to thrive.

Joining our team means unlocking your potential to do your best work. We encourage you to share how you can make a difference with us.

We aim to make our hiring process accessible and support you in your application or work environment needs. Just let us know.

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