Our clients reserves the right not to make an appointment. In considering candidates for appointment into advertised posts, preference will be accorded to persons from a designated group in accordance with the approved Employment Equity Plan.

Data Engineer (Fed31)

Overview

Reference
Fed31

Salary
Market Related

Job Location
- South Africa -- Johannesburg Metro -- Sandton

Job Type
Permanent

Posted
10 October 2025

Closing date
15 Oct 2025 20:59


Summary:

At Fedgroup, our in-house system powers everything from secured investments and life insurance to impact farming and beyond. Our versatile platform is central to our success, complemented by an app that empowers users to manage their financial futures with ease. In this role, you'll engage with diverse stakeholders, including business owners, project managers, developers, and tech partners (IOT, ML, ICT). We stay practical while leveraging battle-tested, advanced technologies to drive innovation.

What to Expect:

Database Engineering/Management

  • Work with on-site MSSQL 2022 databases to extract, transform, and load data as needed
  • Assist the Data Lead with doing performance analysis and tuning

Data Collection and Analysis

  • Gather, clean, and analyse large datasets to identify trends, patterns, and insights
  • Utilize statistical methods to interpret data and generate meaningful reports

Reporting and Visualization

  • Develop and maintain interactive dashboards and reports for key stakeholders
  • Communicate complex data findings in a clear and understandable manner

Data Quality Assurance

  • Implement and maintain data quality processes to ensure accuracy and reliability
  • Collaborate with cross-functional teams to address data discrepancies and issues

What you'll bring:

Qualifications and Experience

  • Bachelor’s degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science) or equivalent experience
  • Proven experience as a Data Engineer or in a related role with 5 years’ experience
  • Proficient in data analysis tools and languages. (Most importantly Microsoft T-SQL)
  • Experience with data visualization tools
  • Industry-specific knowledge in finance is not necessary but will be beneficial
  • Experience with open-source data pipeline ETL tools will be beneficial

Competencies

  • Analytical mindset with a keen attention to detail
  • Strong communication skills, both verbal and written
  • Adaptability and willingness to learn new technologies and techniques


Contact information

Wilma Spitsbaard