Data Analytics Engineer

Who you are

• 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

What the job involves

• 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
• 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

Benefits

• 401(k)
• Dental insurance