Data Engineer (12 month contract)

Job Description • Design and implement advanced data science solutions across banking domains, with a focus on automation and integration with enterprise database platforms. • Lead the automation of end-to-end data science workflows, including data extraction, transformation, modelling, and deployment. • Work closely with database engineering teams to ensure seamless integration between models and large-scale relational and non-relational databases.

• Champion the development of reusable, scalable ML pipelines for model training, evaluation, monitoring, and retraining. • Contribute to data governance and model risk management processes in line with regulatory standards. • Develop and optimize data models, data warehousing solutions, and database structures.

• Ensure data quality, consistency, and reliability across all platforms. • Implement data governance, security, and compliance best practices. • Monitor and improve pipeline performance, troubleshoot issues, and ensure high availability.

• Automate recurring tasks and improve overall data engineering processes. • Document data flows, system designs, and technical processes. Job

• 10+ years of experience in database, data engineering or relevant technical roles. • Strong proficiency in SQL and experience with relational databases (e.g., MySQL, Oracle). • Hands-on experience with ETL tools or frameworks (e.g., Airflow, Informatica, AWS Glue). • Proficiency in programming languages such as Python and Unix shell