Join a leading South African data consultancy delivering advanced data platforms for a US-based fintech client. Design and build scalable data pipelines, cloud-native data platforms, and analytics infrastructure. Strong experience with Python, SQL, and PySpark required.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
THE OPPORTUNITY THAT AWAITS YOU
If you enjoy building modern cloud data platforms, solving complex data problems, and working with PySpark, Snowflake, and distributed data systems — keep reading.
We’re hiring Senior Data Engineers to join a leading South African data consultancy delivering advanced data platforms for a US-based fintech client in the equity markets space.
You’ll help design and build scalable pipelines, cloud-native data platforms, and analytics infrastructure powering real financial intelligence.
If you enjoy owning complex data problems and delivering solutions that actually get used, this role will feel right at home.
WHAT YOU WILL BE BUILDING
- Scalable data platforms supporting fintech analytics and market intelligence
- High-performance data pipelines processing large volumes of financial data
- Distributed data processing frameworks using PySpark and modern data stacks
- Cloud-native data platforms across Azure and AWS environments
- API-driven data ingestion and integration frameworks in cloud ecosystems
- Modern data warehouses and lakehouse architectures using platforms like Snowflake and Databricks
YOUR KEY RESPONSIBILITIES
- You’ll design and build scalable data pipelines and distributed processing frameworks
- You’ll develop and optimise data transformations using Python, SQL, and PySpark
- You’ll integrate multiple enterprise data sources through cloud-based APIs and ingestion pipelines
- You’ll contribute to the design and architecture of modern data platforms
- You’ll collaborate directly with client stakeholders to translate business requirements into scalable solutions
- You’ll optimise performance, reliability, and scalability of cloud data platforms
- You’ll support analytics and data science teams by delivering high-quality curated data models
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OUR REQUIRED EXPERTISE
Technical Expertise
- 5–10+ years of Data Engineering experience
- Strong experience with Python and SQL for data engineering
- Experience working with PySpark and distributed data processing frameworks
- Experience building modern ELT/ETL pipelines
- Experience working with cloud data platforms such as Snowflake or Databricks
- Strong experience with cloud infrastructure (Azure or AWS)
- Experience integrating and managing API-driven data pipelines in cloud environments
- Experience designing and operating enterprise-scale data warehouses or lakehouse platforms
- Exposure to analytics ecosystems such as Power BI, Tableau, or similar BI tools
- Experience in financial services, fintech, or data consultancy environments is advantageous.
Problem-Solving & Ownership
- Able to design and build scalable data platforms solving complex business problems
- Comfortable working with large, distributed datasets and high-performance pipelines
- Takes ownership of delivery in a consulting project environment
- Strong troubleshooting capability in complex cloud data ecosystems
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Collaboration & Communication
- Comfortable working in a consulting delivery environment
- Able to communicate technical solutions clearly to business stakeholders
- Confident working with international clients and cross-functional engineering teams
- Collaborates effectively across data engineering, analytics, and architecture teams
YOUR REWARD
- Contract: 12-month rolling contract (full-time, fixed term)
- Rate: R900 – R950 per hour
- Location: Remote anywhere in South Africa
- Client Environment: Leading SA Data Consultancy delivering for a US-based Fintech client
- Working Model: Remote (SA working hours)
- Impact: Build modern data platforms powering fintech analytics and market intelligence
For more roles, please have a look at our website (www.60degrees.com) or follow us on LinkedIn (https://www.linkedin.com/company/10287263/).
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