Data Engineer (Contractor)

The Legends Agency; Johannesburg; Remote; ZAR 200,000 - 300,000; Full time

Job summary

A specialist data consultancy is seeking a Data Engineer to design and maintain data solutions for a leading insurance client. This role offers an initial 12-month contract with strong potential for extension, requiring expertise in Azure Databricks and Oracle databases. The ideal candidate has 3 to 5 years of Data Engineering experience and thrives in a remote-first environment.

Qualifications

• 3 to 5 years of hands-on Data Engineering experience.
• Strong expertise in Azure Databricks.
• Proven experience working with Oracle database environments.

Responsibilities

• Deliver robust, efficient data solutions.
• Develop and optimize data pipelines using Azure Databricks.
• Integrate and manage Oracle databases.

Skills

Hands-on Data Engineering experience

Expertise in Azure Databricks

Experience with Oracle databases

SQL and data modeling capabilities

Problem-solving mindset

Strong communication skills

Job description

Overview

About Our Client

Our client is a specialist data and technology consultancy, delivering innovative solutions that empower financial services businesses to make smarter, faster decisions. With a strong focus on advanced analytics, AI integration, and cloud-first design, the team partners with leading insurers and financial institutions to drive transformation. They offer a collaborative, remote-first culture where your expertise will directly impact business outcomes.

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.

Key Responsibilities

• Apply 35 years of experience as a Data Engineer 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.

About You / Qualifications

• 3 to 5 years of hands-on Data Engineering experience.
• Strong expertise in Azure Databricks.
• 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.