Data Engineer (Intermediate & Senior) Contract

Location: South Africa (Hybrid Johannesburg preferred)
Contract: 6-12 Months (Renewable)
Industry: Banking / Financial Services
Positions: 1 × Intermediate (3-5 yrs), 1 × Senior (5-8 yrs)

About the Role

We are looking for experienced Data Engineers to join a leading banking team. The role involves designing and building data pipelines across multiple data platforms including Orion Hive, Data Lake/Reservoir, Teradata, and SQL environments.
You will work within a fast-paced financial services environment and collaborate with cross-functional data and analytics teams.

Key Responsibilities

• Develop and maintain data pipelines from Orion Hive, Data Lake/Reservoir, and Teradata into SQL platforms.
• Design and implement ETL/ELT processes for enterprise data integration.
• Perform data modelling and optimisation for analytics and reporting.
• Write clean, efficient code for data ingestion and transformation using C#/.NET.
• Ensure end-to-end data quality, performance, and reliability.
• Work with business and technical stakeholders to translate requirements into scalable data solutions.
• Troubleshoot and resolve data pipeline issues across environments.
• Contribute to continuous improvement of data engineering tools and best practices.

Minimum Requirements

Technical Skills

• C# / .NET development experience (required)
• Strong SQL skills (SQL Server / T-SQL)
• Hands-on experience with Teradata
• Experience building data pipelines in:
  • Orion Hive
  • Data Lake / Data Reservoir
• Experience using Visual Studio
• Solid understanding of data modelling, ETL/ELT concepts, and data integration patterns

Experience

• Intermediate: 3-5 years
• Senior: 5-8 years

Industry Advantage

• Banking / Financial Services experience strongly preferred
• Experience working in enterprise-scale data environments

Soft Skills

• Strong analytical and problem-solving skills
• Ability to work under pressure in a high-performance team
• Clear communication and stakeholder engagement ability
• Self-driven and solution-focused mindset

Nice to Have

• Python for advanced ETL or automation
• Cloud platform experience (Azure, AWS, GCP)
• Exposure to big-data tooling & distributed systems
• Data governance & metadata management understanding