Tech Lead - Foundation / Python (m/f/d)

Tech Lead Data Platform (m/f/d)

Our client is a fast-growing technology company building advanced software solutions for security-critical environments. At the core is a modern, Kubernetes-native data platform that enables large-scale intelligence collection, processing, and analysis for public sector and defense-related use cases.

The organization operates at the intersection of cutting-edge data engineering and highly regulated environments. It combines technical excellence with strict data protection standards, delivering mission-critical systems.

You will work closely with product teams, technical decision-makers, and external stakeholders to design and operate scalable data platforms that power AI-driven applications and analytics in real-world, high-impact scenarios.

In this role, you take end-to-end ownership of the data platform architecture and lead the technical execution of complex, security-sensitive systems.

- Owning the architecture of a modern data lakehouse platform (e.g., Hudi, Trino, Kafka, NiFi, PySpark), including build vs buy decisions and system design - Designing and implementing scalable data pipelines and infrastructure components in Python (PySpark, Kafka ecosystems) - Leading the technical delivery of data platforms in regulated environments, ensuring reliability, scalability, and security - Establishing engineering standards across code quality, testing, observability, and documentation - Designing and implementing data governance frameworks (lineage, cataloging, compliance with government security standards) - Building secure data workflows, APIs, and integrations into complex system landscapes - Driving Privacy by Design principles (e.g., PII handling, auditability, compliance controls) - Leading incident analysis, root cause investigations, and continuous system improvements - Mentoring and coaching Data Engineers through code reviews, technical guidance, and 1:1s - Translating product and stakeholder requirements into scalable, production-ready technical solutions

You are an experienced technical leader who combines strong hands-on engineering skills with architectural thinking and a pragmatic, solution-oriented mindset.

- 6–7+ years of experience in data engineering or software engineering, including at least 2 years in a technical leadership or architecture role - Strong expertise in Python (PySpark, pandas) and SQL, plus solid experience with TypeScript and Node.js environments - Deep understanding of modern data architectures, especially lakehouse patterns and large-scale data modeling - Hands-on experience with streaming (Kafka), batch processing (Spark), and modern table formats (Hudi, Iceberg, or Delta) - Experience building and operating production-grade data platforms in distributed, Kubernetes-based environments - Strong knowledge of security and compliance topics (IAM, encryption, audit logging, data protection) - Experience with APIs, system integrations, and complex data flows (ETL, messaging systems, legacy integration) - Proven ability to communicate complex technical topics clearly to both technical and non-technical stakeholders - Comfortable working in regulated, high-stakes environments (experience with public sector or defense is a plus) - Eligibility to work in Germany (EU or NATO citizenship preferred due to regulatory constraints)

You are interested? Feel free to get in touch directly: Constantin Clodius Phone: +49 170 3660 753 E-Mail: E-Mail: c.clodius@zabelglobal.com c.clodius@zabelglobal.com

17 November 2025

Technology - SaaS (Software as a Service)

€ 180.000 p.a.

German, English

+49 170 3660753

https://www.linkedin.com/in/constantin-clodius/