We're Hiring: Data Engineer / Data Architect | Lesaka Technologies
Are you ready to design and scale world-class data infrastructure in a fast-growing fintech environment?
Join
Lesaka
, a leader in financial technology, and play a pivotal role in enabling data-driven decision-making, supporting analytics and AI initiatives, and ensuring our data systems meet the highest standards of reliability, security, and compliance.
This role combines
hands-on engineering with architectural leadership
, working closely with product, analytics, and compliance teams to deliver scalable, secure, and future-proof data solutions.
Location:
Johannesburg / Cape Town
Department:
Data & Analytics
Reporting To:
Head of Data / Analytics Manager
Why This Role Matters
You will:
? Design and maintain
scalable, secure, high-performance data architectures
? Build
robust ETL/ELT pipelines
for batch and streaming data
? Enable
analytics, BI, and AI workloads
through reliable data platforms
? Ensure
regulatory compliance and data governance
for sensitive financial data
What You'll Do
?
Data Architecture & Design
Design and maintain scalable, secure, and high-performance data architectures
Define data models, schemas, and standards across transactional and analytical systems
Architect data lakes, data warehouses, and real-time data pipelines
Ensure alignment with fintech regulatory and compliance requirements
?
Data Engineering
Build and maintain ETL/ELT pipelines for batch and streaming data
Integrate data from internal systems, third-party APIs, and financial data providers
Optimize data processing for performance, reliability, and cost efficiency
Ensure data quality, consistency, and availability
?
Cloud & Infrastructure
Develop and manage cloud-based data platforms (AWS, GCP, or Azure)
Implement infrastructure-as-code and CI/CD for data pipelines
Monitor and troubleshoot data systems in production
?
Security & Governance
Implement data security, access controls, encryption, and monitoring
Support data governance, lineage, and metadata management
Collaborate with compliance and risk teams on audits and regulatory needs
?
Collaboration & Leadership
Work closely with product managers, analysts, and ML engineers
Provide technical guidance and best practices for data usage
Document architectures, workflows, and standards
Mentor junior data engineers (if applicable)
?
Minimum Requirements
?? 5+ years of experience in data engineering, data architecture, or related roles
?? Strong proficiency in SQL and data modelling (dimensional and/or normalized)
?? Experience building data pipelines using tools such as Airflow, dbt, Spark, or similar
?? Strong programming skills in Python, Scala, or Java
?? Hands-on experience with cloud data services (BigQuery, Redshift, Snowflake, Databricks)
?? Experience with both batch and streaming data systems (Kafka, Kinesis, Pub/Sub)
?? Solid understanding of data security, privacy, and governance principles
Preferred Qualifications
Experience in fintech, banking, payments, or financial services
Familiarity with regulatory frameworks (PCI DSS, SOC 2, GDPR)
Experience supporting analytics, BI, and machine learning workloads
Knowledge of event-driven and real-time data architectures
Prior experience leading architectural decisions or data platform migrations
Core Technical Competencies
Data Architecture & Modelling
- Scalable, resilient designs for transactional and analytical workloads
Data Engineering & Pipelines
- Reliable batch and streaming pipelines with strong data quality
Cloud & Platform Engineering
- Proficient in AWS, GCP, or Azure with IaC and CI/CD