nDeavour Consulting

Analytics Engineer

• Define and maintain the enterprise integration architecture strategy and roadmap.
• Design integration solutions using APIs, messaging, and event-driven architectures.
• Lead the implementation of integration platforms (e.g., Informatica, Azure Integration Services).
• Ensure secure, reliable, and scalable data exchange between internal and external systems.
• Collaborate with business and technical teams to understand integration needs and translate them into technical designs.
• Establish integration standards, patterns, and best practices.
• Support DevOps and CI/CD pipelines for integration components.
• Monitor and optimize integration performance and reliability.

Senior Data Integration Solutions Engineer

Cloud Engineer

• Design and implement robust, scalable data ingestion and transformation pipelines using Databricks, PySpark, and distributed processing. Utilize Airflow (or similar) for reliable workflow orchestration.
• Implement Delta Lake principles, focusing on CDC and schema evolution. Establish and integrate data quality frameworks (e.g., Great Expectations) within CI/CD pipelines for data integrity.
• Develop and optimize complex SQL and Python scripts. Integrate diverse data sources (APIs, S3 files, etc.) and handle both structured and unstructured data.
• Support the implementation of data governance and cataloguing solutions (e.g., Unity Catalog). Proactively investigate and improve inconsistent legacy datasets.
• Guide and manage AI agents for code generation, ensuring quality and stability. Work pragmatically and collaboratively to drive technical solutions.

Senior Data Engineer – Databricks, AWS

Solutions Engineer

• Develop and maintain integration solutions using APIs, messaging, and ETL tools
• Implement and support Informatica Integrations and integrations on platforms such as Azure Integration Services, MuleSoft, Boomi
• Collaborate with business and technical teams to gather integration requirements
• Build and manage RESTful and SOAP APIs for internal and external consumption
• Ensure secure, reliable, and scalable integration workflows
• Monitor and troubleshoot integration issues and performance bottlenecks
• Document integration designs, configurations, and support procedures
• Contribute to the continuous improvement of integration standards and practices

Senior Data Integration Engineer

Support Engineer

• Act as the L3 technical escalation point for D365 F&O incidents, problems, and service requests.
• Investigate and resolve complex production issues, including:
• Batch job failures and performance bottlenecks
• Data integrity, posting issues, and intermittent defects
• Integration failures and API/service errors
• Environment-specific issues across Dev/Test/UAT/Prod
• Perform deep root cause analysis using logs, traces, monitoring tools, and debugging techniques.
• Produce high-quality fixes (hotfixes, data fixes, configuration-supporting code changes) ensuring minimal operational impact.
• Work with Microsoft Support and third-party vendors/ISVs as needed for critical defects.
• Design, build, and maintain extension-based solutions following Microsoft best practices (no over-layering).
• Develop and support:
• X++ customisations and extensions
• SSRS reports, Data Entities, and OData/Custom services
• Batch framework enhancements and asynchronous processing
• Conduct code reviews to ensure:
• Performance, security, maintainability, and supportability
• Compliance with coding standards and deployment guardrails
• Optimise solution performance through:
• Query tuning, indexing recommendations, caching considerations
• Efficient batch scheduling and workload separation
• Support and enhance integrations including:
• OData, REST services, DMF (Data Management Framework)
• Azure integrations (e.g., Service Bus, Functions, Logic Apps) where applicable
• Power Platform integration touchpoints (as relevant)
• Diagnose and resolve interface and data movement issues (mapping, transformations, retries, sequencing).
• Support data activities such as:
• Data corrections, reconciliation routines, and entity-based imports/exports
• Ensuring auditability and controlled execution of data fixes
• Support and contribute to release planning and deployment execution across environments (Dev/Test/UAT/Prod).
• Work with Azure DevOps to manage:
• Work items, branching, pull requests, and build/release pipelines
• Maintain and improve CI/CD practices including:
• Automated build validation, code quality checks, release approvals
• Support LCS activities (as applicable):
• Environment health checks, deployable packages, updates/hotfixing
• Manage user access rights
• Security role troubleshooting and duty/privilege analysis
• Support user licencing (assign/remove licences & support licence renewal process)
• Operate within ITIL-aligned MSS processes: incident, problem, change, and request fulfilment.
• Produce clear technical documentation:
• RCA reports, technical notes, deployment runbooks, knowledge base articles
• Identify recurring issues and implement problem prevention and automation.
• Support and guide L1 and L2 support teams, ensuring effective issue resolution and knowledge transfer

D365 F&O L3 Technical Support Analyst – SCM

• Act as the final functional authority for complex D365 F&O Supply Chain Management incidents, problems, and service requests.
• Perform deep root-cause analysis on critical business process interruptions and collaborate with technical teams to deploy permanent fixes.
• Provide expert guidance, technical coaching, and updated documentation to empower Level 1 and Level 2 support teams.
• Maintain deep functional mastery over core application areas, specifically Supply Chain Management with Manufacturing, Order Management, and Advanced Warehousing.
• Ensure all supported solutions strictly align with standard D365 functionality, prioritizing system configuration over heavy customization.
• Assess the functional impact of proposed system changes and support User Acceptance Testing (UAT), regression testing, and release planning.

D365 F&O L3 Functional Support Analyst, SCM

DevOps Engineer

• Own the infrastructure. Build, maintain, and scale the systems our product runs on, with reliability and cost-efficiency as first-class concerns
• Measure the non-functional. Define and track SLIs, SLOs, and error budgets for availability, latency, throughput, and scalability. Make system behavior visible and quantifiable to the whole team
• Automate relentlessly. Identify and eliminate toil. Replace manual operational work with code, infrastructure-as-code, and self-healing systems
• Build a seamless delivery process. Design, maintain, and improve CI/CD pipelines so engineers can ship safely and frequently with fast feedback
• Collaborate across functions. Partner closely with software engineers and QA to embed reliability and quality early - through testing strategy, deployment practices, and shared ownership of production
• Apply AI to operations. Use AI/AIOps to automate remediation, surface anomalies, reduce alert noise, and improve the signal quality of monitoring, reporting, and on-call
• Lead incident response. Drive blameless postmortems and turn incidents into systemic improvements
• Set the standard. Define reliability and operational best practices, and mentor engineers across the team to raise the bar

SRE/DevOps

SDET

• Design and Implement Testing Strategy: Act as the quality owner and define the comprehensive testing strategy for the entire microservice ecosystem
• Develop Robust Test Automation: Utilize expertise in Playwright, API, and UI testing to build, improve, and maintain reliable, robust test coverage for microservices
• Ensure AI-Generated Code Quality: Design and implement test coverage to validate AI-generated functionality
• Drive Quality Culture and Standards: Challenge developers and proactively improve the team's overall quality culture and testing standards
• CI/CD Pipeline Support: Collaborate with and support developers in building, improving, and maintaining the CI/CD pipelines
• Cloud Deployment Validation: Apply knowledge of AWS environments (Fargate, EKS) to validate cloud deployments
• Handle Ambiguity: Comfortably work with minimal requirements and translate them into effective automation frameworks and test plans
• Performance and Advanced Testing: Utilize performance testing experience to ensure system scalability and reliability

Senior SDET

Architect

Integration Architect, Integration Lead

Backend Engineer

• Design, develop, test, and maintain software solutions for large-scale operational systems
• Build and enhance applications using Java, Spring Boot, React, and related technologies
• Collaborate closely with Product Owners, Scrum Masters, QA Engineers, DevOps, Security, and Architecture teams to deliver high-quality software
• Participate in Agile ceremonies including sprint planning, backlog refinement, estimation sessions, and daily stand-ups
• Write clean, maintainable, and well-tested code following established engineering best practices
• Troubleshoot and resolve technical issues across development, testing, and production environments
• Contribute to software design discussions and technical decision-making within the team
• Support continuous improvement initiatives focused on code quality, performance, and development practices
• Work closely with teammates to deliver features and enhancements aligned with business priorities
• Continuously learn and grow expertise across modern software development technologies and methodologies