Data Engineer

Job Overview

You will join the Statutory & Regulatory Reporting environment, building and maintaining data-driven solutions that support banking reporting needs (Finance/Risk). 

The work involves analysing large datasets, translating business requirements into robust technical solutions in GFRS ( Global Financial Reporting System), and delivering changes end-to-end in an agile squad. 

You will work closely with a large group of Business Analysts and other squad members to refine user stories, clarify requirements, and ensure the delivered solution meets stakeholder expectations.

Key Responsibilities

• Collaborate with Business Analysts and stakeholders to refine stories, clarify acceptance criteria, and shape feasible solution options. 
• Design and implement efficient solutions using the GFRS application ( Oracle Forms + Oracle Database) 
• Build end-to-end changes: requirements analysis → design → development → testing → deployment → maintenance/support
• Produce and maintain technical documentation to ensure solutions are understandable and supportable
• Contribute to continuous improvement in the squad: code quality, automation, and collaboration practices.

Key Capabilities/Experience

• Bachelor’s degree in IT, Computer Science, or a similar field.
• Experience with banking products and/or banking reports
• Strong analytical mindset: able to interpret data, validate outcomes, and explain findings clearly.
• Expertise in SQL / RDBMS databases (preferably Oracle), handling of structured data, including performance tuning.
• Understanding of data modeling concepts
• Strong problem solving and solutions engineering mindset.
• Ability to work in a complex environment with large and heterogeneous datasets
• Experience in Agile way of working is a plus.
• Experience in CI / CD and DevOps is a plus.

Minimum Qualifications

Domain & analysis

• Experience with banking products and/or banking reports
• Strong analytical mindset: able to interpret data, validate outcomes, and explain findings clearly. 

Technical

• Strong understanding of relational databases and data modeling principles. 
• Advanced SQL skills for data extraction and analysis. 
• Strong hands-on capability with PL/SQL in Oracle environments. 

Ways of working

• Proven ability to work effectively in an agile team, including strong communication and stakeholder interaction
• Team player, proactive, and comfortable driving clarification and alignment.

Nice to have

• Proficiency and experience in programming languages such as Python, shell

scripting

• Experience in cloud platforms and technologies (Azure, AWS, GCP) is a plus.