Expert Data Engineer (SAR Specialist) REF5186L

Debrecen , Hungary
full-time Hybrid

TLDR

Develop automated workflows and machine learning models for Synthetic Aperture Radar (SAR) data to provide strategic intelligence for defense operations.

This is a high-impact role focused on Synthetic Aperture Radar (SAR) data. You will develop the automated workflows and ML models that translate raw radar signals into strategic intelligence (Change Detection, Anomaly Detection) for our Defense partners.

Key Responsibilities:

  • SAR Pipeline Engineering: Develop automated ingestion and preprocessing workflows for raw SAR data and metadata.
  • Explorative Analysis: Identify relevant features in radar patterns to test hypotheses for classification and change detection models.
  • Scalable Implementation: Build E2E Data/ML pipelines in Cloud-native environments using Data Lakehouse architectures.
  • Product Integration: Work closely with API teams to integrate SAR analysis functions into mission-critical services.
  • Mentoring: Lead junior members and establish Best Practices in Signal Processing and Data Engineering.

Requirements:

  • Experience: Proven track record in Machine Learning and Deep Learning, specifically with Remote Sensing (SAR/EO) or Signal Processing.
  • Domain Knowledge: Solid understanding of Radar Physics, Georeferencing, and Co-registration are advantages as well
  • Software Engineering: Expert in Python (scikit-learn, PyTorch), Git, and automated testing for data code.
  • Data Architecture: Experience with ETL/ELT, Spark, and Lakehouse architectures.
  • Language: Fluent English; German is a strong plus.

* Please be informed that our remote working possibility is only available within Hungary due to European taxation regulation.

Deutsche Telekom IT Solutions, a subsidiary of the Deutsche Telekom Group, offers a comprehensive range of IT and telecommunications services, focusing on connected living and working solutions. Serving hundreds of large customers across Europe, the company leverages its skilled workforce to build digital infrastructures that empower organizations to innovate and thrive.

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