Remote Data Engineer : Build Scalable Pipelines & Ml

Restonic Mattresses | South Africa; Remote; ZAR 300 000 - 400 000; Full time

Job summary

A leading mattress company in South Africa is seeking a Data Engineer (Contractor) to design and maintain data solutions for insurance clients. The ideal candidate should have 3-5 years of Data Engineering experience, ideally within financial services. Key responsibilities include developing data pipelines with Azure Databricks, optimizing Oracle databases, and ensuring data quality and accessibility across teams. This is a contract position with potential for extension, offering competitive compensation.

Qualifications

• 3-5 years of hands-on Data Engineering experience.
• Proven experience working with Oracle database environments.
• Solid SQL and data modeling capabilities.
• Experience in insurance or broader financial services is advantageous.

Responsibilities

• Design, build, and maintain data solutions for a leading insurance client.
• Develop, maintain, and optimize data pipelines using Azure Databricks.
• Integrate and manage Oracle databases for optimal performance.
• Collaborate with cross-functional teams to ensure data quality.

Skills

Data Engineering experience

Oracle database environments

SQL and data modeling capabilities

Problem-solving mindset

Communication skills

Education

Degree in a relevant field

Tools

Azure Databricks

SQL

Python

Power BI

Job description

Data Engineer (Contractor) – Insurance / Financial Services

Location: Johannesburg, Gauteng

The Role: Data Engineer (Contractor)

This contract role is key to designing, building, and maintaining high‑quality, secure, and scalable data solutions for a leading insurance client. You’ll work across modern data platforms and cloud environments, enabling accurate insights and supporting analytics and machine learning initiatives. The role is initially a 12‑month contract, with strong potential to extend based on performance and project needs.

• Apply extensive experience to deliver robust, efficient data solutions.
• Develop, maintain, and optimize data pipelines using Azure Databricks.
• Integrate and manage Oracle databases to ensure optimal security and performance.
• Write and optimize SQL, applying strong data modeling principles.
• Collaborate with cross‑functional teams to ensure data quality, accessibility, and scalability.
• Support machine learning and analytical initiatives in the insurance domain.
• Monitor, troubleshoot, and enhance existing data infrastructure.

Key Qualifications

• 3‑5 years of hands‑on Data Engineering experience.
• Proven experience working with Oracle database environments.
• Solid SQL and data modeling capabilities.
• Experience in insurance or broader financial services is advantageous.
• Strong problem‑solving mindset, with the ability to work independently in a remote‑first setup.
• Collaborative team player with excellent communication skills.

Client Support Data Engineer – Quintessence

Location: Remote (South Africa)

Salary: R18 000 – R25 000 per month (depending on experience)

Provide technical and analytical support to ensure Quintessence implementations run smoothly and meet SLA requirements.

• Minimum 2 years of experience in data analysis, modeling, and troubleshooting.
• Configure and implement Quintessence software for client environments.
• Provide 2nd‑tier client support, including data enhancements and issue resolution.
• Understand and manage client data requirements within the financial markets.
• Build and maintain end‑to‑end data service solutions and integrations.
• Develop queries combining multiple data sources while ensuring data integrity.
• Recommend improvements to data reliability, efficiency, and quality.
• Provide structured feedback to development teams on functionality and issues.
• Design user interfaces for data uploads and visualisation.

Key Qualifications

• 2+ years of experience working with data in a technical support or engineering role.
• Degree in Statistics, Mathematics, Engineering, Informatics, or related field.
• Strong SQL and Excel skills, plus a programming language such as Python (essential).
• Exposure to data visualisation tools (Power BI, Tableau, or QlikView) (advantageous).
• Knowledge of APIs, ETL processes, or data warehousing (advantageous).
• Background in financial services or asset management (distinct advantage).
• Client‑focused mindset with excellent communication skills.
• Ability to multitask, manage competing priorities, and meet deadlines.

AWS Data Engineer (6‑Month Contract)

Location: Remote (supporting an international client)

Design & optimize data pipelines and ETL processes.

Work with AWS services: S3, Glue, Redshift, DBT, Spark, Terraform.

Support cloud integration and modernization projects.

Ensure system performance, monitoring & reliability.

Enforce data security, governance, and compliance standards.

Collaborate with global, cross‑functional teams.

Qualifications

• 5+ years' experience as a Data Engineer (Intermediate‑Senior).
• Hands‑on expertise in AWS data services.
• Strong SQL, data modelling, and pipeline management skills.
• Familiarity with CI/CD, Git, and infrastructure‑as‑code.
• Excellent collaboration and problem‑solving skills.

Why Join?

Competitive contract compensation; work with cutting‑edge AWS technologies; collaborate with international teams.

Data Engineer – Education Focus (Sample)

• Education: Bachelor of Science in Computer Science, Big Data, Database Administration or related fields.
• 3+ years in Advanced Data Engineering.
• Experience with on‑premises and cloud data pipelines (M. Fabric).
• SQL, Python, R or Power BI; knowledge of Oracle, Teradata, Snowflake.
• Experience in data warehousing and ETL; Yellowfin knowledge is beneficial.
• Experience with telecommunications / financial services or Fintech is a plus.
• Client‑focused mindset with excellent communication.

NOTE

All postings include standard requirements; some items reference Access Bank and other clients.