Senior Data Engineer

Description:

Weaver FinTech Group is a leading digital financial services ecosystem connecting consumers to smarter, more flexible ways to pay, borrow, and protect what matters most. Our brands — Pay Just Now and FinChoice — empower millions of South Africans through innovative Payments, Lending, and Insurance solutions.
We’re a data-first organization built on collaboration, innovation, and purpose: to make digital finance simpler, more inclusive, and more human.

Role Overview
As a Senior Data Engineer (6-month contract) , you will lead the evolution of our data platform, architecting and optimizing scalable data pipelines using a modern cloud-based stack. You will mentor a team, set engineering standards, and drive the migration from legacy Microsoft BI tools to a future-proof, cloud-native architecture.


Key Responsibilities

• Team Leadership: Mentor and guide data engineers, manage workload planning, conduct code reviews, and foster career development.
• Data Architecture: Design, build, and maintain robust data pipelines and warehousing solutions on Snowflake (AWS), leveraging best-practice ELT patterns.
• Cloud Integration: Architect data ingestion and transformation workflows using Python, AWS S3, AWS Lambda, and DBT.
• Modernisation: Lead the migration from SSIS/SSAS to cloud-native solutions, ensuring data integrity and minimal business disruption.
• Data Modeling: Establish and enforce data modeling standards (e.g., Kimball/star schema), naming conventions, and documentation.
• Performance & Quality: Optimize data warehouse performance, implement data quality checks, and maintain observability for all pipelines.
• Security & Compliance: Ensure robust data security, privacy, and regulatory compliance across AWS and Snowflake.
• Stakeholder Collaboration: Partner with analytics, product, and business teams to deliver high-quality, timely, and secure data solutions.
• CI/CD & Automation: Introduce and maintain CI/CD pipelines for data workflows, automate processes, and champion best practices.
• Code Repository Management: Use GitHub for version control, code review, and collaborative development of all data engineering assets.

Core Technical Skills

• Python: Advanced scripting for ETL/ELT, automation, and integration with AWS and Snowflake
• AWS S3: Data lake design, secure storage, lifecycle management, and integration with Snowflake
• AWS Lambda: Serverless ETL, event-driven workflows, automation, and error handling
• Snowflake (AWS): Data modeling, performance tuning, security, cost optimization, and integration
• Snowflake OpenFlow: Workflow orchestration and seamless data movement within AWS ecosystemDBT:
• SQL transformations, data quality tests, CI/CD, and analytics engineering
• Microsoft SQL Server: Advanced T-SQL, job scheduling, and integration with cloud data platforms
• GitHub: Code repository management, version control, code review, CI/CD integration, and secrets management; all using AI

Required Qualifications
Experience: 5+ years in data engineering, with at least 2–3 years in a senior or lead capacity.
Education: Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field (Master’s or certifications in AWS, Snowflake, or Microsoft are advantageous).
Domain Knowledge: Experience in financial services or FinTech is highly valued.
Technical Leadership: Proven ability to architect large-scale data systems, lead migrations, and mentor teams.

Preferred Qualifications
Experience with data orchestration tools (e.g., Airflow, Prefect).
Familiarity with Infrastructure as Code (e.g., Terraform).
Advanced certifications in AWS, Snowflake, or Microsoft SQL Server.

What We Offer

• The opportunity to work across two of South Africa’s most exciting fintech brands.
• A collaborative environment that encourages experimentation and growth.
• The chance to explore AI-driven design innovation as part of a forward-thinking creative team.
• Hybrid work model with autonomy and flexibility.
• Competitive compensation and benefits within a purpose-led, growth-focused organization.

Requirements:

• Team Leadership: Mentor and guide data engineers, manage workload planning, conduct code reviews, and foster career development.
• Data Architecture: Design, build, and maintain robust data pipelines and warehousing solutions on Snowflake (AWS), leveraging best-practice ELT patterns.
• Cloud Integration: Architect data ingestion and transformation workflows using Python, AWS S3, AWS Lambda, and DBT.
• Modernisation: Lead the migration from SSIS/SSAS to cloud-native solutions, ensuring data integrity and minimal business disruption.
• Data Modeling: Establish and enforce data modeling standards (e.g., Kimball/star schema), naming conventions, and documentation.
• Performance & Quality: Optimize data warehouse performance, implement data quality checks, and maintain observability for all pipelines.
• Security & Compliance: Ensure robust data security, privacy, and regulatory compliance across AWS and Snowflake.
• Stakeholder Collaboration: Partner with analytics, product, and business teams to deliver high-quality, timely, and secure data solutions.
• CI/CD & Automation: Introduce and maintain CI/CD pipelines for data workflows, automate processes, and champion best practices.
• Code Repository Management: Use GitHub for version control, code review, and collaborative development of all data engineering assets.

• Python: Advanced scripting for ETL/ELT, automation, and integration with AWS and Snowflake
• AWS S3: Data lake design, secure storage, lifecycle management, and integration with Snowflake
• AWS Lambda: Serverless ETL, event-driven workflows, automation, and error handling
• Snowflake (AWS): Data modeling, performance tuning, security, cost optimization, and integration
• Snowflake OpenFlow: Workflow orchestration and seamless data movement within AWS ecosystemDBT:
• SQL transformations, data quality tests, CI/CD, and analytics engineering
• Microsoft SQL Server: Advanced T-SQL, job scheduling, and integration with cloud data platforms
• GitHub: Code repository management, version control, code review, CI/CD integration, and secrets management; all using AI

• The opportunity to work across two of South Africa’s most exciting fintech brands.
• A collaborative environment that encourages experimentation and growth.
• The chance to explore AI-driven design innovation as part of a forward-thinking creative team.
• Hybrid work model with autonomy and flexibility.
• Competitive compensation and benefits within a purpose-led, growth-focused organization.