Senior Software Engineer – Data Platform (Tech Lead)
Role Overview
• Own and govern the data ingestion and integration architecture for the enterprise data platform.
• Define and evolve scalable, reusable, and production-grade data interfaces across all source systems and business domains.
• Provide technical leadership and design authority for all data platform ingestion and integration components, ensuring engineering quality, scalability, and reliability.
• Establish and enforce software engineering and architecture standards across data platform development (CI/CD, testing, observability, design patterns).
• Act as the primary escalation point and technical authority for complex ingestion, integration, and data platform challenges.
• Guide and support a distributed team of software engineers and data engineers in building production-grade ingestion services and platform components.
• Collaborate closely with platform architecture, cybersecurity, infrastructure, and business IT teams to ensure secure, compliant, and sustainable system design.
• Drive consistency and reuse across data platform patterns, frameworks, and engineering practices.
Key Skills for This Role
Full Job Posting
Qualifications
- ▪ Degree in Computer Science or a related field.
- ▪ 6–10 years of experience in software engineering and data platform development, with a focus on large-scale, enterprise-grade systems.
- ▪ Proven track record of technical leadership and architectural ownership in distributed systems or data platforms.
- ▪ Strong hands-on experience with Scala / Java and Python in a production software engineering environment.
- ▪ Deep understanding of data integration patterns (APIs, CDC, streaming, event-driven architectures).
- ▪ Experience designing and governing reusable frameworks, platform components, and engineering standards.
- ▪ Strong knowledge of CI/CD, version control, automated testing, and observability practices.
- ▪ Experience with Microsoft Azure or other hyperscaler environments.
- ▪ Familiarity with lakehouse and data warehousing architectures; Databricks experience is a plus.
- ▪ Ability to guide and mentor engineers while collaborating across global teams and stakeholders.
- 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
- Additional information
- 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.
About Continental Group Sector ContiTech
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