3352 Data Engineer (Expert)

Job Mail • On-call duty • Python • Java • ETL/ELT • 2 days ago
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Salary
≈ $31k – $59k per year (Estimated)
Location
In office (South Africa)
Seniority
Senior · 6+ years exp
Employment
Contractor

Confirmed on the employer's own hiring board on Oct 23, 2026. First seen by Alion on Oct 22, 2026. Job Mail scores C on the Alion truth index.

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Job Mail

Job Mail is a South African online job board offering a large selection of vacancies across the country and some positions abroad. Job seekers can search and apply for jobs online, upload a CV and receive job alerts, while employers and recruitment agencies can advertise positions to a broad national audience. The brand is one of the longer-established names in South African job advertising and is operated from South Africa.
jobmail.co.za • HQ: Pretoria, South Africa • Job Boards & Aggregators • Est. 1997
ROLE & RESPONSIBILITIES:
  • Design, build and operate operational data integration solutions focused on making enterprise data available, trusted and consumable.
  • Ingest and stream data from Zero Trust data sources (CMDB, identity systems, security tooling) into operational pipelines rather than analytics stores.
  • Build and maintain Kafka topics, producers/consumers, connectors and streaming applications to enable realtime flows.
  • Implement API-based integrations, webhook listeners and file ingestion solutions to capture operational events.
  • Develop robust ETL/ELT and stream processing logic to normalise, correlate and enrich data across sources.
  • Ensure pipelines are idempotent and resilient (retries, replay, backpressure and compensation strategies).
  • Apply data modelling and metadata practices to ensure consistent schemas and discoverability.
  • Implement and monitor data quality checks, anomaly detection and validation rules; drive remediation where needed.
  • Maintain data lineage, access control and security practices to meet governance and compliance requirements.
  • Collaborate with automation and orchestration teams to ensure streamed operational data feeds automation workflows and runbooks.
  • Own pipeline alerting, runbooks, and participate in incident response/on-call rotations
  • Troubleshoot production issues, perform root cause analysis and implement long-term reliability improvements.
  • Build testable pipelines with unit/integration tests, contract tests and CI/CD deployment pipelines for streaming workloads
  • Data Quality Gates: enforce automated quality checks early in pipelines (validation, schema checks, anomaly detection) and block or quarantine bad data.
  • Performance & Cost Awareness: implement efficient partitioning, batching and resource usage patterns while tracking cost and throughput trade-offs.
  • Security & Privacy by Design: apply least-privilege, secrets management, encryption in transit and at rest, and data masking/anonymisation where required.
  • Drive architectural decisions and define integration best practices
QUALIFICATIONS/EXPERIENCE:
  • Extensive hands-on experience (typically 6+ years) in data engineering, integration or streaming roles with demonstrable production experience.
  • Proven track record building and operating streaming platforms (Kafka) and API-based integrations, with strong Python/Java and enterprise databases and query languages skills.
  • Strong analytical thinking, curiosity about data, attention to detail, structured problem solving and ownership - able to figure things out and drive topics to completion.
Submit your CV to: [email protected] and Subject line Role title
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