Job Description

This is a software engineering role focused on building production-grade data platform components.

You will design and operate services, APIs, and data pipelines in a CI/CD-driven environment.

This is NOT a notebook-driven or analytics-focused role.

Job Description:

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.

Main Tasks:

Design and implement fault-tolerant, observable data pipelines, including logging, alerting, and failure handling strategies.
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.
Perform design reviews with Cybersecurity.
Ensure documentation and compliance for all interfaces and data ingress points.
Manage audit and traceability requirements.
Collaborate closely with IT and business users to translate requirements into scalable technical patterns.
Serve as technical escalation point for complex source integration.

Job Description

This is a software engineering role focused on building production-grade data platform components.

You will design and operate services, APIs, and data pipelines in a CI/CD-driven environment.

This is NOT a notebook-driven or analytics-focused role.

Job Description:

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.

Main Tasks:

Design and implement fault-tolerant, observable data pipelines, including logging, alerting, and failure handling strategies.
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.
Perform design reviews with Cybersecurity.
Ensure documentation and compliance for all interfaces and data ingress points.
Manage audit and traceability requirements.
Collaborate closely with IT and business users to translate requirements into scalable technical patterns.
Serve as technical escalation point for complex source integration.

Software Engineer – Data Platform

Skills