Senior Data Engineer, Medical Devices / IoMT (m/f/d) für Berlin gesucht

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Job Kategorie: Sonstige Branchen Sonstige Tätigkeitsbereiche

Stellenangebot Basisdaten

Arbeitsort:: DE 10963 Berlin
Umkreis:: keine Angabe.
Art der Arbeitsstelle:
Letze Aktualisierung:: 08.01.20262026-01-08

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Stellenausschreibung: Senior Data Engineer, Medical Devices / IoMT (m/f/d)

Arbeitgeber bzw. Arbeitsvermittler: Beats Medical GmbH in Hamburg

Branche: Sonstige Branchen

Kategorie: Sonstige Tätigkeitsbereiche

Stellenbeschreibung: We are dedicated to supporting professionals in measuring what matters, preventing cardiovascular events, and improving diagnosis and therapy in cardiovascular health. Our team is unwaveringly committed to reshaping the future of cardiovascular health, beat by beat, and we eagerly welcome potential candidates to join us in this mission. We are seeking an experienced Data Engineer. In this role, you will play a critical part in developing, and optimizing our cardiovascular diagnostic product line aimed at maternal health. You will work closely with hardware engineers, software developers, and clinical experts, to ensure our products meet stringent regulatory standards and deliver exceptional performance. Tasks Design, build, and maintain robust, scalable, and secure data ingestion and transformation pipelines. Implement automated ingestion, validation, lineage tracking, and quality monitoring. Develop and maintain reusable data libraries, transformation logic, and governance frameworks. Ensure full compliance with GDPR, NIS2, Cyber Resilience Act (EU), HIPAA (US), PIPL (China), PDPA (Singapore), and other global regulatory frameworks. Experience with implementation of Role-based access control (RBAC), Encryption in transit and at rest (HSM/KMS), Data anonymization & pseudonymization workflows and Consent handling and audit mechanisms. Participate in security audits, compliance reviews, and certification efforts. Operationalize AI pipelines including model deployment, monitoring, drift handling, versioning, and automated retraining. Deploy explainable AI tooling (SHAP/LIME) into the pipeline for auditability and compliance. Maintain CI/CD workflows for data and ML workloads. Develop Python-based analytics scripts, reusable data modules, and feature engineering logic. Support visualization workflows (Tableau, Looker, Grafana, or Streamlit). Ensure reproducibility and model traceability across the full lifecycle. Requirements Bachelor’s or Master’s degree in Computer Science, Engineering, Data science, AI, Cybersecurity, or similar. 5+ years of experience building secure, compliant cloud-based data ecosystems for regulated data domains. Experience building secure cloud-based data systems using AWS, Azure, or GCP. Strong programming skills in Python and SQL. Advanced experience with Orchestration (Airflow, Dagster, or Prefect), Data frameworks (Spark, dbt, Kafka) and Infrastructure automation (Terraform, Kubernetes, Helm). Experience managing encryption standards and secure authentication Adept with containers, service mesh and runtime security scanning Experience translating compliance frameworks into technical implementation. Proven cross-functional communication skills. Clear, documentation-driven engineering approach. Experience with medical data formats (FHIR, HL7, DICOM). Experience in regulated industries (MedTech, pharma). Certifications such as AWS Certified Security Specialty, CISSP Associate and TensorFlow Developer / MLflow Certification (good to have). Benefits Competitive salary and comprehensive benefits package. Opportunities for professional growth and development. A supportive and innovative work environment. Location is not a barrier for the right candidates though occasional travel to our Berlin HQ may be required. The chance to make a meaningful impact on the lives of patients and healthcare professionals. You are at the forefront of developing technology that saves lives – what else is there? We look forward to your application!

Qualifikation: Arbeitskräfte

Verdienst:: n.a.

Bewerbung an: Beats Medical GmbH
Am Strandkai 1
De 20457 Hamburg

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