Data Analytics Engineer I London

Checkout Ltd; City of London; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

A fintech company in London is seeking a Data Analytics Engineer to design and implement data pipelines and ensure data quality. The ideal candidate has over 2 years of experience in analytics engineering, strong SQL skills, and familiarity with cloud-based data technologies. Join our dynamic team and play a pivotal role in shaping our financial data capabilities.

Benefits

Flexible hybrid working model

Ownership and meaningful challenges

Qualifications

• 2+ years of experience in an Analytics Engineering or Data Engineering role.
• Experience with large scale data transformation and data warehousing.
• Strong attention to detail and autonomous work capability.

Responsibilities

• Design and build data pipelines to process data.
• Implement monitoring and alerting frameworks.
• Collaborate with Finance stakeholders on technical specifications.

Skills

SQL coding

Data modeling techniques

Cloud-based data warehouse technologies

Data transformation tools (dbt, Dataflow)

Visualization platforms (Looker, Tableau)

Tools

Snowflake

Google BigQuery

AWS Redshift

Job description

Link to Privacy Policy Link to Cookie PolicyData Analytics Engineer I page is loaded## Data Analytics Engineer Ilocations: Londontime type: Full timeposted on: Posted Todayjob requisition id: R8244****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****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.****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