• Design and deliver batch and streaming data pipelines using cloud‑native and event‑driven patterns
• Build ingestion and transformation workflows to harmonize diverse datasets into common data models
• Expose integrated data through APIs and messaging platforms

• Implement and manage secure file transfer integrations using managed transfer services
• Apply authentication, authorization, virus scanning, and cross‑account data movement
• Create and maintain operational runbooks and support documentation

• Engineer pipelines for high reliability, performance, and scalability
• Instrument solutions with logging, metrics, tracing, and alerting
• Automate deployment and operations aligned with DevOps and CI/CD best practices

• Engineer, manage, and support Operational Data Store (ODS) capabilities
• Optimize and uplift ODS platforms to meet evolving business outcomes and scale requirements
• Work with data caching technologies to improve performance and scalability
• Identify and remediate underlying platform and architectural issues

• Strong experience in data integration engineering or related roles
• Hands‑on experience with
• File Transfer & Managed Transfer Services
• Event‑driven architectures and Kafka
• ODS technologies: PostgreSQL, Graph databases, OpenSearch
• Change Data Capture (CDC) tools such as Debezium
• Experience designing cloud‑native data platforms
• Strong understanding of data security, governance, and reliability engineering
• Solid scripting and automation skills
• Excellent problem-solver and stakeholder collaboration abilities

• Experience with large‑scale distributed systems
• Exposure to API management and data virtualization
• Familiarity with observability tools (e.g., Prometheus, Grafana, CloudWatch, etc.)

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.

If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion on your career.