Data Analytics Engineer

Key Skills

Amazon RedShift, Apache Airflow, AWS, Data Biuld Tool - dbt, Fivetran, Git, Google BigQuery, Google Dataflow, Looker, Snowflake, SQL, Tableau

Job Description

Job Description

Finance and Treasury Services (FTS) are a suite of products responsible for enhancing and optimising Checkout.com’s financial processes. The mission: “Build a transparent and accessible financial ecosystem that unlocks value for our customers”. FTS are becoming the golden source and distribution hub of financial data to a variety of end user groups. With Checkout.com’s fast paced growth and complex business domain we thrive in the ongoing challenges of data integrity, granularity, and scalability.

We are looking for a talented Analytics Engineer to join our Transactional Ledger Analytics team. 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.

This role offers an exciting opportunity to shape a core part of our financial data capabilities. Your expertise in building data pipelines, optimising data flows and implementing data governance principles will play a critical role in enabling business operations for our Finance and Treasury teams. We are seeking someone who possesses strong technical expertise, a strong bias towards action, and the ability to collaborate effectively with a diverse set of stakeholders.

Key Responsibilities

• Design and build data pipelines to process data from our systems, services and applications.
• Implement monitoring and alerting systems 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.
• Create and maintain documentation for our data architecture and data assets.
• Ensure data governance and security standards are maintained across our systems.
• Continuously evaluate and implement new technologies to improve our platform and systems.
• Work closely with Finance stakeholders to translate business requirements into technical specifications and Service Level Agreements.

You will be working with dbt, Looker, Snowflake, Apache Airflow, git, Fivetran and AWS.

Qualifications

About You

• 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.
• 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.