Job Title: Data Engineer with Securities and Lending Experience

Location

Johannesburg

Job Type

Contract – 12 Months Contract-Onsite

Job Description

The candidates should possess Financial Services industry experience, preferably within a regulated banking environment.

 Experience within Investor Services, and more specifically Securities Lending and Borrowing (SLB) or closely related capital markets domains, will be considered highly beneficial.

Job Duties

• • Develop a Test Automation Strategy & Governance, in conjunction with Business, IT, program leadership
  • Design and implement a scalable, reusable automation framework supporting Functional, Regression and Regression Testing
  • Ensure compatibility with CI/CD pipelines and cloud-native deployment environments (AWS/EKS).
  • Achieve minimum 85% automation coverage across SLB, Interfaces and Data Flows, Performance and Security Testing
  • Implement automated test data provisioning and environment setup performed exclusively within non‑production environments (DEV, SIT, UAT, PRE-PROD).
  • Embed automation scripts into CI/CD pipelines for continuous validation.
  • Non-Functional Testing - Provide automated solutions for performance, scalability, and security testing.
  • Deliver structured training for the organisations teams on automation tools and frameworks.

Required Qualifications

• Degree in Computer Science, Information Technology, Software Engineering, or a related discipline.
• Strong knowledge of data engineering principles, database management, and data architecture design.
• Proven experience with data processing frameworks such as Apache Spark, Hadoop, or equivalent technologies.
• Proficiency in programming languages including Python, SQL, and Java or Scala.
• Experience with securities and lending data structures, processes, and terminology.
• Familiarity with cloud platforms such as Microsoft Azure, Amazon Web Services, or Google Cloud Platform.
• Understanding of financial regulations and compliance standards relevant to banking data.
• Strong problem-solving skills and attention to detail.
• Excellent communication skills, both written and verbal, with the ability to engage technical and non-technical stakeholders.

Preferred Qualifications

• Postgraduate qualification in Data Science, Finance, or a related field.
• Experience working within the banking sector, specifically in securities trading or lending departments.
• Knowledge of data visualisation tools such as Power BI, Tableau, or similar.
• Understanding of DevOps practises and experience with automation tools.
• Certification in cloud technologies or data engineering specialisms.

Experience

• At least five years of data engineering experience, preferably within banking and finance.
• Proven track record of working on projects involving securities and lending data.
• Demonstrated ability to manage complex data environments and deliver robust solutions on time.

Knowledge and Skills

• Comprehensive understanding of data warehousing concepts and ETL (extract, transform, load) processes.
• Strong analytical skills to interpret complex financial data and translate it into actionable insights.
• Familiarity with data governance frameworks and best practises in data security and privacy.
• Ability to work independently and within a team, managing multiple priorities effectively.