Data Analytics Engineer I

About the role

As an Analytics Engineer, you will play a pivotal role in making financial data capabilities world-class within the Financial Infrastructure team. You will work closely with Finance and Treasury teams to translate requirements into robust data models and build scalable pipelines to process large volumes of financial data. You will take ownership of data quality and reliability to ensure the platform meets regulatory and compliance obligations as the business scales.

Responsibilities

• 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.

Required skills

• SQL
• Data warehousing
• Data modeling
• Snowflake
• Google BigQuery
• AWS Redshift
• dbt
• Dataflow
• Looker
• Tableau
• Apache Superset
• Software engineering best practices

Nice to have

• Python
• Java
• Flink

Qualifications

• 2+ years of experience in an Analytics Engineering or Data Engineering role with a focus on large scale data transformation and data warehousing

About the Company

Checkout.com is a global fintech company powering payments for major digital brands like eBay, Spotify, and Uber. With 20 offices across six continents and headquarters in London, the company enables over 10 billion transactions annually for more than one billion global shoppers.