We are looking for a Senior Data Engineer to join our client's team on a 6-month contract, hybrid working with a possibility of extension.

Purpose:
To design and manage robust, secure and scalable data pipelines supporting Banking-as-a-Service operations and analytics.

 
Key Responsibilities:

• Build and maintain ETL pipelines for financial transaction and customer data.
• Integrate real-time data streams from core banking systems and external APIs.
• Manage data lakes and warehouses in cloud environments (AWS S3, Redshift, Glue).
• Implement data quality, lineage, and governance controls aligned with banking regulations.
• Collaborate with analytics and engineering teams to enable advanced insights.

 

Skills, Knowledge and Requirements:

• Bachelor’s degree in Computer Science, Engineering, or related discipline.
• Experience with ETL/ELT frameworks (Airflow, Spark, Kafka).
• Strong SQL, Python, and cloud (AWS/Azure) experience.
• Knowledge of BaaS or digital banking platforms advantageous.
• Understanding of data compliance, encryption, and financial systems integration.

 

Soft Skills:

• Good communication skills
• Attention to detail and accuracy
• Integrity and Ethical Judgement
• Teamwork and Collaboration
• Initiative and Proactivity
• Adaptability to Technology
• Experience in python, SSIS, SQL, GraphQL
• AWS working knowledge a must (Must have experience on AWS + AWS certification for access to systems)