Data Integrations Engineer

Responsibilities

• Solution Design
• Design and implement integration solutions using Azure services such as: Azure Logic Apps (Standard & Consumption)
• Azure Service Bus (Queues, Topics, DLQ)
• Azure API Management
• Event Grid / Event Hub
• Azure Functions
• Translate functional requirements into scalable integration architectures.
• Build robust retry, error-handling, dead-lettering, and monitoring patterns.
• Development & Implementation
• Develop integration workflows using Logic Apps (stateful and stateless).
• Implement synchronous and asynchronous messaging patterns.
• Build APIs and connectors for internal/external system integrations.
• Implement CI/CD pipelines for integration components (Azure DevOps/GitHub).
• Build reusable components, templates, and enterprise integration patterns.
• Service Bus & Messaging
• Configure queues, topics, subscriptions, and rules.
• Implement DLQ handling, repair & replay, and quarantine logic.
• Ensure message security, idempotency, and guaranteed delivery.
• API Management
• Publish, secure, and monitor APIs using Azure API Management.
• Implement policies (rate limiting, caching, transformation, authentication).
• Manage API lifecycle and developer onboarding.
• Monitoring & Support
• Implement alerting and observability using: Application Insights
• Log Analytics
• Azure Monitor
• Troubleshoot integration failures, performance issues, and message dead-lettering.
• Support production workloads, ensure platform reliability, and optimize cost.
• Security & Governance
• Apply best practices for identity and access management (Azure AD).
• Implement security standards: Managed Identity, OAuth2, RBAC, Key Vault.
• Ensure compliance with company governance and Azure landing zone policies.
• Required Skills & Qualifications
• Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related field.
• Basic understanding of data integration concepts (ETL/ELT, APIs, messaging).
• Experience or familiarity with programming languages such as Python, Java, C#, or SQL
• Knowledge of relational databases (PostgreSQL, MySQL, SQL Server) and basic NoSQL concepts, CosmosDb.
• Understanding of data formats such as JSON, XML, CSV, and Parquet.
• Familiarity with REST APIs and data exchange mechanisms.
• Basic exposure to cloud platforms (Azure) is an advantage.
• Soft skills
• Strong analytical skills and capacity to challenge the financial information received
• High sense of organisation and able to manage multiple tasks with strong attention to detail
• Excellent communication skills with the ability to interact with international stakeholders
• Curious, proactive, keen to learn and ready for new challenges
• Ability to work independently while also having a team-oriented mindset.
• Languages
• Excellent knowledge of English (written and verbal communication skills)
• Knowledge of any other language is a plus (French)

Additional Information

Job Overview Associate Data Integration Engineer is responsible for designing, developing, and maintaining cloud-based integration solutions using Microsoft Azure services. This role focuses on building scalable integration architectures, implementing API-driven workflows, orchestrating system communication, and ensuring high availability, performance, and security across integration platforms. The engineer will work closely with application teams, data engineers, and architects to deliver enterprise-grade integration solutions.

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Company Intel

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