Software Engineer – Data Platform

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Skills you'll use

What you'll do

• Design, implement, and maintain secure, scalable and fault-tolerant data ingestion pipelines from a wide variety of source systems, including SAP, Salesforce, SharePoint, APIs, and (legacy) manufacturing platforms.
• Build and enhance production-grade metadata-driven data handling components and inbound-/outbound-interfaces.
• Own production data interfaces end-to-end.
• Develop reusable, version-controlled platform components, APIs, or data interfaces, following software engineering best practices (CI/CD, automated testing, version control, monitoring).
• Contributes to a global data engineering team delivering to all major business domains.
• Establish and maintain holistic data quality management, monitoring and reporting.
• Collaborates across business IT, cybersecurity, infrastructure, and architecture teams to ensure secure and sustainable delivery.
• Design and implement fault-tolerant, observable data pipelines, including logging, alerting, and failure handling strategies.

Who can apply

• Build and maintain Python- or Scala-based extraction services (e.g., Debezium Server, custom APIs, rclone)
• Implement CDC, delta, and event-based patterns.
• Build and enhance push-based HTTP, Kerberos-authenticated custom data lake transfer delivery component.
• Integrate with systems such as Salesforce, SharePoint, and other API- or file-based endpoints.  
• Establish, operate and troubleshoot extraction from SAP using tools like Theobald Extract Universal.
• Establish and maintain a web-accessible data catalog application as part of the data platform, focusing on backend services, metadata management, and integration with platform components.
• Integrate dataset discoverability, preview/exploration options, and lineage information using Unity Catalog as a backend metadata system.
• Design and implement structured access request workflows including request submission, approval chains, audit trail, and enablement triggers.

About Continental

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