Data Engineer
Proud to be partnered with a Retail Financial Services organisation who are seeking two Contract Data Engineers to design, build, and maintain secure, scalable data pipelines on AWS cloud. You will work with large-scale transactional and customer data, ensuring data integrity, performance, and compliance. This role requires hands‑on expertise in AWS services and strong experience in financial data engineering.
Key Responsibilities
- Build and maintain ETL/ELT pipelines for transactional, customer, and operational data.
- Design and implement data architectures and models optimised for analytics and reporting.
- Work extensively with AWS services, including:
- AWS Glue – ETL processing
- Amazon Redshift / RDS – data warehousing
- AWS Lambda – serverless transformations
- AWS Athena / EMR – analytics and big data processing
- Ensure data quality, governance, and regulatory compliance (e.g., PCI DSS, GDPR).
Required Skills & Experience
- Proven experience as a Data Engineer, preferably in financial services or highly regulated industries.
- Strong proficiency with AWS cloud services (S3, Glue, Redshift, Lambda, Athena, EMR).
- Hands‑on experience with Python, SQL, and Spark for ETL and analytics.
- Knowledge of data warehousing, data lakes, and large-scale data processing.
- Excellent problem‑solving skills and ability to work independently in a fast‑paced environment.