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Job Description
Structured overview of role & requirementsAbout This Role
Develop and maintain production-grade Python data pipelines and automation workflows for financial services.
Integrate data from various sources including APIs, databases, and third-party platforms while ensuring data quality and control.
Deploy and support data solutions using source control and continuous integration/deployment frameworks within regulated environments.
Minimum Requirements
Strong commercial Python development experience.
Advanced SQL and practical data-modelling skills.
Experience with ETL/ELT pipelines, REST API integrations, Git, and CI/CD.
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experience working in regulated industries, preferably banking or financial services, ensuring compliance with data security, auditability, and governance standards.
Proficient in building maintainable, tested, and well-documented data engineering solutions with error handling and production support.
Familiarity with cloud platforms (preferably Azure) and modern automation tools like Databricks, Selenium, Docker, and infrastructure-as-code.