Join our Technology & Transformation practice as a Consultant and help clients unlock the value within their data. You'll work with a global network to provide strategic guidance and implementation services, managing data from various sources to create actionable insights for data-driven decision-making.

Our practice focuses on business intelligence, data management, performance management, and advanced technologies like big data, cloud, and machine learning, offering a comprehensive approach to data challenges.

Design, develop, and maintain scalable data solutions on Google Cloud Platform (GCP). Build robust data pipelines for ingestion, transformation, and loading (ETL/ELT) using Python and SQL.

Integrate data from multiple source systems, ensuring data quality through cleansing, validation, and reconciliation. Support enterprise data platforms, data warehousing, and dimensional modeling initiatives.

Optimize SQL queries for reporting and analytics, and collaborate with stakeholders to define and implement data requirements. Monitor data pipelines, troubleshoot issues, and ensure the smooth operation of production environments.

We seek a skilled Data Engineer with 3-5 years of experience, specifically in designing and maintaining scalable data solutions. Expertise in Google Cloud Platform (GCP) services such as BigQuery, Cloud Storage, and Dataflow is essential.

Proficiency in SQL, including complex queries and optimization, alongside strong Python programming skills for data processing and automation, is required. Experience with ETL/ELT pipeline development and an understanding of data warehousing concepts are crucial.

Familiarity with Git for version control is expected. Prior experience within the Banking or Financial Services domain is highly preferred, with an understanding of relevant datasets such as customer, transaction, and regulatory reporting data.