Join our dynamic Technology & Transformation practice, where we help organizations harness the power of their data. We specialize in providing strategic guidance and implementation services to transform vast amounts of information into actionable insights. Our expertise spans business intelligence, data management, performance management, and cutting-edge analytics technologies including big data, cloud, and AI.

We are seeking a skilled Data Engineer to build robust data pipelines and workflows. This role involves developing models, creating data products, and optimizing transformations. You will be instrumental in ensuring high-quality code and documentation, collaborating effectively with global teams, and leveraging AI for accelerated delivery.

Design, build, and maintain data pipeline orchestrations and workflows using Airflow. Develop and implement data models, build data products, and perform transformations using DBT. Optimize performance across data pipelines, SQL queries, and BigQuery environments. Produce high-quality, AI-accelerated code and comprehensive documentation. Collaborate with cross-functional technical and non-technical teams globally. Operate independently to deliver consistent, high-quality results.

Proficiency in Python and DBT, with DBT Fusion being highly preferred. Experience building, deploying, and maintaining Airflow DAGs for data ingestion, processing, and orchestration. Strong hands-on SQL capabilities for crafting efficient and cost-effective queries. Extensive experience working with GCP BigQuery and strong data modeling expertise. Solid background in data governance and secure by design principles. Familiarity with CI/CD tools such as GitHub, Bitbucket, or Bamboo. Experience working within an AWS Cloud environment is essential. Knowledge of financial services, Master Data Management principles, and Agile delivery frameworks is advantageous.