Data Engineer at Hire Resolve

Job Description

• Hire Resolve's client is looking for a Data Engineer to join their team in Johannesburg, GP.  A fintech company dedicated to making life simpler and more secure for African communities through innovative financial and technology solutions. Operating across insurance and telecommunications, with plans to expand into digital payments, our mission is to remove barriers and help people achieve their goals.
• You will play a key role in building and maintaining a modern data ecosystem that enables operational excellence and data-driven decision making. 

Responsibilities

• Integrate and transform data from multiple internal and external sources.
• Design, build, and maintain robust data pipelines and integration workflows.
• Optimise data storage, transformation, and access across cloud and local environments.
• Set up and maintain PostgreSQL databases and related environments.
• Manage and transform large Excel datasets for operational use and reporting.
• Automate reports and dashboards using AWS QuickSight, Excel, or similar tools.
• Support clean data ingestion from ERP systems such as Odoo.
• Collaborate with software engineers, analysts, and cross-functional teams to integrate and prioritise data needs.
• Ensure high standards of data quality, documentation, and reproducibility.
• Maintain data integrity, security, and version control.
• Work in Linux-based environments (Ubuntu) and troubleshoot data operations issues.
• Solve data challenges in resource-constrained or remote environments.
• Stay adaptable to new tools and technologies, contributing to a culture of trust and strong internal data practices.

Requirements

Qualifications & Experience:

• Tertiary qualification in Computer Science, Information Systems, Engineering, or a related field.
• Minimum of 4 years’ professional experience in a Data Engineering or Data Operations role.
• Strong problem-solving skills with the ability to challenge assumptions.
• Full proficiency in English.
• Experience with cloud data platforms and storage solutions.
• Knowledge of structured and unstructured data processing.
• Familiarity with data security, access control, and governance.
• Experience with ERP systems and data exports (e.g., Odoo).
• Experience automating reports and building self-service dashboards.

Technical Skills:

• Proficiency in SQL and relational database design.
• Strong Python programming skills.
• Hands-on experience with PostgreSQL in production environments.
• Knowledge of ETL/ELT principles and pipeline development.
• Experience with orchestration tools (Apache Airflow, Dagster, or Prefect).
• Familiarity with data transformation tools (dbt, Dataform).
• Experience with reporting tools (e.g., AWS QuickSight).
• Familiarity with Google Cloud Platform or AWS.
• Comfortable working in Linux-based systems.

Deadline:3rd November,2025