Senior Data Integration Engineer

About the Role

We are seeking a highly specialized Senior Data Integration Engineer to design, build, and maintain robust, scalable integrations across a complex enterprise ecosystem. This role focuses on enabling seamless system-to-system data flows, ensuring high availability, and providing real-time access to data across legacy, cloud, and SaaS platforms.

Key responsibilities include:

• Integration Architecture & Design
  • Design and implement complex enterprise integration patterns, including API‑led connectivity, event‑driven architectures, and batch ETL.
  • Architect scalable, secure, and resilient system‑to‑system data flows across heterogeneous environments.
  • Develop reusable integration frameworks and enforce enterprise integration standards.
  • Collaborate with enterprise architects and business stakeholders to align integrations with strategic objectives.
• Pipeline Development & Real‑Time Data Movement
  • Build and maintain high‑throughput ETL/ELT pipelines using Qlik Talend (Cloud or On‑Premise).
  • Implement and optimise log‑based CDC and low‑latency replication using Qlik Replicate.
  • Support zero‑downtime migrations and real‑time streaming integrations.
  • Perform complex data mapping, transformation, validation, and reconciliation across source and target systems.
  • Optimize performance and ensure scalability of integration pipelines.
• Data Virtualization & System Connectivity
  • Leverage Denodo (or similar platforms) to create enterprise data virtualization layers for real‑time data access without physical movement.
  • Design and implement semantic layers and virtual data services.
  • Integrate diverse platforms including on‑premise databases, legacy mainframes, cloud data warehouses, and SaaS applications such as Salesforce, Workday, SAP.
  • Design and consume REST and SOAP APIs and manage integrations across multiple protocols (SFTP, JDBC, messaging queues).
• Reliability, Governance & Leadership
  • Implement robust error handling, monitoring, logging, and alerting mechanisms.
  • Ensure data integrity, security, and high availability of integration services.
  • Enforce governance standards including data lineage, metadata management, and compliance controls.
  • Provide technical leadership, define coding standards, and promote best practices in integration design.
  • Mentor junior engineers and support continuous improvement within integration teams.

• Must‑Have Skills & Experience
  • 6+ years of professional experience in data integration, ETL development, middleware administration, or enterprise application integration.
  • Deep, hands‑on expertise with Qlik Talend (Cloud or On‑Premise) for designing complex workflows and transformations.
  • Proven experience configuring and tuning Qlik Replicate for log‑based CDC and real‑time replication across heterogeneous systems.
  • Strong experience with Denodo (or similar enterprise data virtualization platforms).
  • Expert‑level SQL skills with advanced data mapping, transformation, and validation capabilities.
  • Strong understanding of enterprise integration patterns including batch processing, messaging, and API‑led connectivity.
  • Experience ensuring high availability, monitoring, and operational stability of integration services.
• Highly Desirable Skills
  • Experience with cloud integration services such as AWS Glue, Azure Data Factory, or Google Cloud Dataflow.
  • Experience designing RESTful APIs and working with API gateways (Apigee, Mule Soft, Kong).
  • Familiarity with messaging and streaming platforms such as Kafka, RabbitMQ, or IBM MQ.
  • Proficiency in scripting languages (Python, Shell) for automation and enhancement of integrations.
  • Understanding of data governance principles, data lineage, and metadata management.
  • Experience implementing CI/CD pipelines for integration deployments using Git, Jenkins, or Azure Dev Ops.
• Education

  Bachelor’s degree in Computer Science, Information Technology, Software Engineering, or related field.

• Application screen against required skills, competencies and experience.
• Completion of a technical case study.
• Face‑to‑face and online psychometric assessments.
• Interview.
• Credential checks and reference completion.
• Offer if successful.

• Employment Type:
  
  Full‑time
• Salary:
  Market Related / Negotiable
• Location Options:
  Johannesburg, Cape Town, Remote
• Must be located in South Africa or have a valid work permit for South Africa.