Senior Data Engineer | Remote-First, Azure Databricks

Senior Data Engineer (Contractor) – The Legends Agency

Location:

Johannesburg, Gauteng – The Legends Agency

Contract:

12 months, with potential extension.

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.

Key Responsibilities

• Apply 3 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

• 3 to 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.

Location:

Johannesburg, Gauteng – Visi Select (Remote – South Africa)

Role:
Provide technical and analytical support for Quintessence implementations, ensuring client satisfaction.

Key Responsibilities

• Minimum 2 years of experience in data analysis, modelling, 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.

About You

• 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 experience in a programming language such as Python (essential).
• Exposure to data visualisation tools (Power BI, Tableau, or Qlik View) – 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.

Location:

Johannesburg, Gauteng – Remote (International client).

Compensation: R95 000 – R?  per month (exact figure missing).

Key Responsibilities

• 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 modeling, and pipeline management skills.
• Familiarity with CI/CD, Git, and infrastructure‑as‑code.
• Excellent collaboration and problem‑solving skills.

Location:

Bedfordview, Gauteng – On Point HR & Talent Solutions

Job Purpose

The Data Engineer will be responsible for driving, designing, and building scalable ETL systems for a big data warehouse to implement robust & trustworthy…