Data Engineer

Moonlight Ai GmbH; Berlin; Hybrid; EUR 75,000 - 110,000; Full time

Job summary

Moonlight AI GmbH is seeking a Data Engineer to build and maintain the core data infrastructure powering clinical ML systems. You will manage end-to-end data ingestion, quality controls, and governance in a regulated setting, collaborating with ML and software teams.

You will design scalable pipelines, implement lineage tracking, and advance data quality and security standards to enable research, model development, and clinical validation across Europe.

Qualifications

• 3+ years building scalable data pipelines for large-scale structured and unstructured data.
• Experience with Infrastructure-as-Code and reproducible, version-controlled infrastructure.
• Knowledge of data versioning, lineage tracking, and automated quality controls in production.
• 2+ years in regulated environments (healthcare/medical devices) with governance requirements.
• 1+ year working with large image formats (WSI, DICOM) and related standards.
• Excellent written & verbal communication in English; valid work permit for Germany.

Responsibilities

• Ingest and process multi-modal datasets including imaging and clinical metadata.
• Design secure data transfer pipelines for clinical partners.
• Own the data warehouse and provide fast, reliable access to researchers and clinicians.
• Implement automated data quality checks at scale and expand sample quality controls.
• Build data versioning and end-to-end lineage tracking for auditability.
• Shape and enforce data governance practices aligned with FDA/IVDR compliance.

Skills

Data pipelines

IaC

Data modeling

Data governance

Auditability

English fluency

Tools

Terraform

Docker

Python

Snowflake

Job description

As a Data Engineer, you will build the core data infrastructure that powers our machine learning systems for clinical diagnostics. You will ensure our digitized data library is high-quality, complete, and traceable, from the moment it is ingested through research, model development, and clinical validation. This high-impact role spans data engineering, data governance, and the data foundation of our ML platform in a regulated environment.

Responsibilities

• Multi-Modal Data Ingestion: Build and maintain robust pipelines to ingest and process large-scale, multi-modal datasets, including gigapixel imaging, genomic data, and clinical metadata.
• Data Transfer Infrastructure: Design reusable, secure transfer pipelines to streamline data exchange with clinical and scanning partners.
• Data Warehousing: Design, optimize, and own the data warehouse, providing R&D and clinical teams with fast, reliable access to critical data.
• Implement automated validation tools to enforce high data quality standards at scale, expanding on sample quality control provided by our Clinical Team.
• Build data versioning and end-to-end lineage tracking so every data point is traceable to its source and fully auditable for model research, development, or clinical validation.
• Shape and execute data governance practices (access control, retention, usage) that align with FDA and IVDR compliance requirements.

Cross-functional collaboration

• ML Platform Support: Work closely with ML Engineers and Software Engineers to design and strengthen the underlying data foundation of our ML platform.

Requirements

• 3+ years of hands-on experience:
• Building scalable pipelines for large-scale structured and unstructured data, using Infrastructure-as-Code (IaC).
• Building solutions for distributed or high-performance data processing with reproducible, version-controlled infrastructure.
• Experience with data modeling, data versioning, lineage tracking, and automated quality controls in production environments.
• 2+ years experience developing data or ML systems, preferably in a regulated environment (e.g. medical devices, healthcare, financial services) with a strong understanding of requirements such as reproducibility, auditability, and data governance.
• 1+ year of experience working with large image formats (e.g., Whole Slide Images [WSI], DICOM, or equivalent).
• Excellent written & verbal communication (English) and interpersonal skills.
• Valid work permit and residence in Germany or other Central European country.
• Availability to travel to clinical partners in Europe and to our offices in Basel and Tunis as needed.
• Exposure to ISO 27001 / ISO 13485 a plus
• Exposure to Software as a Medical Device (SaMD) or clinical integrations is a strong plus