Senior Data Integration Engineer ( holders only)

Role overview

We are looking for a Senior Data Integration Engineer to design, implement and operate reliable integrations between a cloud data platform and an established data-processing application. The role will focus on building production-grade integration solutions, ensuring data consistency, compatibility, traceability and seamless processing across multiple services.

Key responsibilities:

• Design and implement source-to-application integrations, adapters and data transformation workflows.
• Develop and maintain batch and change-data processing pipelines using Python and SQL.
• Work with APIs, XML/JSON and integration services to enable reliable data exchange.
• Ensure record identity, data consistency and compatibility with existing applications.
• Implement robust logging, monitoring, retries, error handling and replay mechanisms.
• Develop automated tests and validate integrations across multiple services.
• Troubleshoot end-to-end data flows and trace individual records across systems.
• Evaluate and recommend whether to modify existing applications, introduce adapters, or use shared data models.
• Collaborate with engineering teams to ensure reliable, maintainable and production-ready integration solutions.

Required skills and qualifications:

• 9+ years of experience building and operating production-grade data integrations.
• Strong hands-on experience with Python and SQL.
• Experience working with REST APIs and data formats such as XML and JSON.
• Strong understanding of batch processing and change-data processing.
• Experience developing integration adapters and transformation workflows.
• Hands-on experience with automated testing, logging, retries and replay mechanisms.
• Ability to troubleshoot and trace data across multiple services and processing layers.

Must have skills:

• Python and SQL
• API and data processing
• XML/JSON
• Batch and change-data processing
• Integration adapters and data transformations
• Automated testing
• Error handling, logging, retry and replay
• Strong understanding of end-to-end data flow and record traceability

Good to have skills:

• Experience with AWS Cloud services.
• Hands-on experience with RabbitMQ.
• Experience with MongoDB and Solr.
• Knowledge of cloud-based data platforms and distributed systems.
• Familiarity with CI/CD and DevOps practices.

Desired attributes:

• Strong problem-solving and troubleshooting skills.
• Ability to make sound architectural decisions around adapters, application changes and shared models.
• Strong focus on data accuracy, reliability and system compatibility.
• Excellent communication and collaboration skills.
• Ability to work independently and take end-to-end ownership of integration solutions.
• Strong engineering mindset with a focus on maintainability, testability and production readiness.