Senior Integration Engineer

Overview

• Engage closely with business stakeholders and cross‑functional technical teams to understand current and future integration needs
• Help define and shape forward looking integration and API patterns that scale across the organisation
• Translate business objectives into pragmatic integrations and data solutions, ensuring delivery is value‑led rather than purely technology‑driven
• Influence integration architecture decisions by balancing strategic direction, delivery feasibility, and measurable business outcomes
• Act as a trusted technical partner to the business, clearly articulating trade‑offs, benefits, and opportunities related to integration approaches
• Lead the design and implementation of cloud‑native integration solutions using modern AWS services and patterns
• Build and maintain secure, scalable, and reusable APIs that expose core business and data capabilities
• Apply API‑first and contract‑driven design principles to support long‑term reusability and governance
• Implement synchronous, asynchronous, and event‑driven integration patterns as appropriate
• Own and lead the engineering delivery of core data hubs and integration‑led data pipelines
• Design and implement reliable, high‑quality data pipelines aligned with HL’s SDLC and architectural principles
• Collaborate with the Data Platform team to ensure solutions align with AWS and Snowflake standards
• Contribute to the consolidation and distribution of key data domains into reusable data products
• Design and implement automated testing strategies across integrations, APIs, and data pipelines
• Drive towards a gold‑standard, fully automated testing suite, including unit, integration, data quality, and contract testing
• Embed build, test, and deployment processes into CI/CD pipelines using Dev Ops best practices
• Ensure solutions are observable and production‑ready through logging, monitoring, alerting, and resilience patterns
• Work across integration, data, and platform teams to enable consistent engineering patterns and standards
• Support HL’s transformation programmes by leading solutions for reliable, real‑time, and batch data movement
• Influence integration and data engineering best practices across the team
• Provide technical leadership and mentoring to other engineers where required

• Strong experience designing and delivering solutions on AWS, including services such as API Gateway, Lambda, Event Bridge, SQS/SNS, Cloud Watch, IAM, and VPC networking concepts
• Infrastructure‑as‑Code using Terraform, including reusable modules, environment promotion and configuration management, secure, automated deployments
• Hands‑on experience building APIs and integration services using Type Script
• Strong understanding of API‑first, RESTful, and event‑driven architectures
• Experience with schema versioning, contract testing, and backward‑compatibility strategies
• Experience building and operating data pipelines on cloud data platforms
• Strong working knowledge of dbt for data transformations, testing, and documentation
• Familiarity with Snowflake data modelling, optimisation, and cost‑aware design
• Understanding of data quality, lineage, and observability concepts
• CI/CD pipeline implementation for applications, infrastructure, and data workloads
• Strong focus on test automation and engineering quality
• Ability to operate production systems, including incident support and root‑cause analysis
• Comfortable working across integration, data, and platform teams
• Able to influence architecture and engineering standards
• Willing to mentor and support less‑experienced engineers
• Pragmatic, delivery‑focused mindset with strong ownership of outcomes