Production Data Engineer, Personal & Private Banking

Standard Bank of South Africa Limited; Johannesburg; On-site; ZAR 600,000 - 800,000; Full time

Job summary

A leading financial institution in Johannesburg is seeking a Production Data Engineer to design, code, and maintain data pipelines and data stores. The role requires expertise in database programming and cloud services like AWS or Azure, alongside practical experience in API integration. Applicants should have a relevant honours degree and at least two years of experience in data engineering.

Qualifications

• Minimum 2 years of experience in building databases and data solutions.
• Experience in AWS or Azure is an advantage.
• Experience creating and integrating APIs, especially with C# or Python.

Responsibilities

• Design, code, and monitor data pipelines and data stores.
• Collaborate in reviews of work and proactively identify issues.

Skills

Database programming languages (SQL, PL/SQL)

Building databases and data integration solutions

Data pipeline experience (SSIS)

APIs integration (C# or Python)

AWS/Azure experience

Education

Honours degree in Computer Science or similar

Job description

Production Data Engineer, Personal & Private Banking

Job Overview

Business Segment: Personal & Private Banking

Location: ZA, undefined, Johannesburg, 30 Baker Street

To design, code, verify, test, document, amend, and secure data pipelines and data stores according to agreed architecture, solution designs, standards, policies and governance requirements. To monitor and report on own progress and proactively identify issues related to data engineering activities. To collaborate in reviews of work with others where appropriate

Qualifications

Qualification:

• Field of Study: Computer Science or similar, honours (Advantageous)

Experience Required

• 2-4years Experience in building databases, warehouses, reporting and data integration solutions.
• Experience in AWS / Azure (advantageous)
• Experience in creating and integrating APIs (C# or Python, etc)
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
• 2-4 years Experience in database programming languages including SQL, PL/SQL and or appropriate data tooling.
• Experience with data pipeline (SSIS)
• Understanding of data pipelining and performance optimisation, data principles, how data fits in an organisation, including customers, products and transactional information. Knowledge of integration patterns, styles, protocols and systems theory