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Continental

Software Engineer – Data Platform

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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.
  • Define and implement a multi-layered data quality framework, including unit-level, integration-level, and cross-pipeline validation rules.
  • Establish centralized and version-controlled storage of DQ rules, with integration into orchestration and CI/CD pipelines.
  • Implement automatic DQ monitoring with severity levels (Critical, High, Medium, Low) and enable flagging, filtering, and quarantining logic at relevant stages of the pipeline.
  • Collaborate with source system owners and business stakeholders to define meaningful and actionable DQ thresholds.

  • Degree in Computer Science, Data Engineering, or a related field.
  • 5–8 years in software development, with hands-on experience with inbound- and outbound data exchange interfaces, using a variety of technologies, such as APIs, CDC, managing endpoints.
  • Hands-on experience with Scala / Java, Python, and advanced SQL, using Git for collaborative development and CI/CD methodologies.
  • Experience building robust ingestion pipelines and ETL-jobs in a software engineering context.
  • Track record with Azure or other hyperscaler resource management.
  • Familiarity with data lake housing and data warehousing, Databricks and Azure knowledge is a plus.
  • Comfortable working across geographies and time zones; collaborates effectively with global teams and enterprise stakeholders.
  • Candidates with a strong backend/software engineering background (e.g. Java, Scala, distributed systems) who want to move into data platform engineering are highly encouraged to apply.

NOT a fit if your experience is primarily:

▪ Notebook-based data processing (e.g. Jupyter, ad-hoc PySpark) without production deployment

▪ Dashboarding / analytics / BI tools

▪ SQL-only roles without software engineering experience

The well-being of our employees is important to us. That's why we offer exciting career prospects and support you in achieving a good work-life balance with additional benefits such as:

  • Training opportunities
  • Mobile and flexible working models
  • Sabbaticals

and much more...

Sounds interesting for you? Click here to find out more.

Diversity, Inclusion & Belonging are important to us and make our company strong and successful. We offer equal opportunities to everyone - regardless of age, gender, nationality, cultural background, disability, religion, ideology or sexual orientation.

Ready to drive with Continental? Take the first step and fill in the online application.