Senior Data Engineer

Define and own enterprise data warehouse (EDW) architecture across Bronze, Silver and Gold layers. Design and develop scalable, metadata-driven ETL/ELT frameworks and reusable engineering accelerators. Lead large-scale data integration and pipeline development across Teradata, Hadoop/Cloudera and Spark platforms.

Establish engineering standards for data modelling, SCD, CDC, historical data management and data recovery. Implement data lineage, data quality, reconciliation, auditability and governance controls. Optimise complex SQL queries, Spark workloads, MPP architecture, partitioning and performance.

Develop enterprise banking data solutions, payment harmonisation and business data products. Automate data engineering deployment and infrastructure using Terraform and CI/CD pipelines. Lead technical design reviews, code reviews and architecture decisions to ensure scalable solutions.

Mentor engineering teams and collaborate with architects, business analysts, testing, DevOps and operations teams.

Bachelor's degree in Computer Science, Information Technology, Engineering or a related discipline. Minimum 10+ years of experience in Data Engineering, including at least 5 years in enterprise data warehouse architecture and development. Strong hands-on experience with Teradata or other MPP databases such as Netezza, Greenplum, Exadata or IBM Db2 Warehouse.

Strong understanding of enterprise EDW architecture, including Bronze, Silver and Gold layere