Join our Technology & Transformation practice as an MDM Data Engineer and help us unlock the value within vast data repositories. This role focuses on strategic guidance and implementation services for managing data from diverse sources, transforming it into actionable insights for data-driven decision-making and competitive advantage. You will be part of a team addressing opportunities in business intelligence, data management, performance management, and advanced analytics technologies like big data, cloud, cognitive, and machine learning.

Design and build robust data pipeline orchestrations and workflows using Airflow. Develop sophisticated data models, construct data products, and execute complex transformations with DBT. Drive performance optimizations across data pipelines, SQL, and BigQuery environments. Ensure high-quality documentation, operate with autonomy, and foster collaboration with global cross-functional technical and non-technical teams. Produce consistent, high-quality code, leveraging AI tools to accelerate development.

We are seeking an MDM Data Engineer with a solid grasp of Master Data Management principles. Proficiency in Python and DBT is essential, with a preference for DBT Fusion over DBT Core. You should be adept at building, deploying, and maintaining Airflow DAGs for ingestion, processing, and orchestration. Strong hands-on SQL skills for efficient, performant, and cost-effective query crafting are a must, alongside extensive experience with GCP BigQuery. Expertise in data modelling, data governance, and CI/CD practices (e.g., GitHub Actions, Bitbucket) is required. A strong understanding of 'Secure by design' principles, experience with AWS Cloud, and familiarity with AWS Redshift and Snowflake are also crucial.