STAFF DATA ENGINEER

• You are passionate to stay ahead of the latest AWS Cloud, and Data Lake technologies
• We’re one of the largest and most advanced Data Engineering teams in the country
• Together we can build state-of-the-art data solutions that power seamless experiences for millions of customers

TECHNICAL SKILLS:

This is a senior technical role, requiring a broad range of tools, languages, and frameworks. You will be a good match if you have previous experience in:

• Building data warehouses or data lakes
• Proficient in SQL and DBT
• Proficiency in Ab Initio, Unix/Linux, SQL and scripting languages such as shell or Perl
• Experience and knowledge of cloud-based infrastructure (AWS)
• Experience with AWS services such as Glue, Lambda, SageMaker, or EMR
• Infrastructure as code using AWS CDK/CloudFormation or Terraform (desirable)
• CI/CD tools (i.e. GitHub Actions), TeamCity or Octopus
• Familiarity with streaming technologies such as Apache Kafka, AWS Kinesis, or similar
• Familiarity with visualisation tools such as PowerBI, Tableau or QuickSight

You will be a part of the Data Provisioning and Enrichment Crew, which is responsible for:

• Design and deliver an integrated Corporate Services data platform providing a single source of truth for timely and accurate data.
• Delivery Risk Treasury Finance Data Platform outcomes; and
• Overseeing the delivery of all data outcomes to support Finance Risk and Treasury

This is a senior technical role, requiring a broad range of tools, languages, and frameworks. You will be a good match if you have previous experience in:

• Building data warehouses or data lakes
• Proficient in SQL and DBT
• Proficiency in Ab Initio, Unix/Linux, SQL and scripting languages such as shell or Perl
• Experience and knowledge of cloud-based infrastructure (AWS)
• Experience with AWS services such as Glue, Lambda, SageMaker, or EMR
• Infrastructure as code using AWS CDK/CloudFormation or Terraform (desirable)
• CI/CD tools (i.e. GitHub Actions), TeamCity or Octopus
• Familiarity with streaming technologies such as Apache Kafka, AWS Kinesis, or similar
• Familiarity with visualisation tools such as PowerBI, Tableau or QuickSigh