Data Engineer/Lead

Recruiter:

H2R Africa

Job Ref:

JHB001208/DH

Date posted:

Monday, May 4, 2026

Location:

Pretoria, South Africa

Salary:

Hourly

SUMMARY:

ð We’re Hiring: Data Engineer

Contract position- 18 months
Do you thrive on turning raw data into powerful insights?
Our client in the finance industry is looking for a Data Engineer to join their growing team and help build the backbone of their data-driven future.

POSITION INFO:
PLEASE NOTE THAT NO CV'S WILL BE KEPT FOR FUTURE USE. ONLY APPLY IF YOU QUALIFY IN FULL.

What You’ll Do

Lead the Data Migration Workstream
Facilitate review sessions with Business stakeholders, implementation Partner, and the Technical Team
Review and facilitate sign off for data migration artifacts by all the relevant signatories
Guide and facilitate activities and deliverables in the data migration workstream
Develop, construct, test and maintain architectures.
Ensure architectures will support the requirements of business.
Discover opportunities for data acquisition and sharing.
Develop data set processes for data modelling, mining and production.
Employ a variety of languages and tools to marry systems together.
Recommend way to improve data reliability, efficiency and quality.
Prepare data for use in predictive and prescriptive modelling.
Conduct research to answer industry and business questions.
Leverage volumes of data from internal and external to answer business questions.
Develop and manage stakeholder relations effectively to promote data management across the organisation and support reliable decision making and appropriate data usage.
Participate and provide technical support in cross organisational activities relating to any of the above-mentioned data management activities.
Provide regular progress reports as per stakeholder requirements and present data management updates in various forums as required

Qualifications:
A minimum of a Bachelor’s degree in Computer Science or Information Management OR equivalent;

A minimum of five to eight years’ experience in a data management environment

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