LiveEO GmbH
Senior Data Engineer - Remote Sensing & AI Pipelines(m/w/x)
Vollzeitmit HomeofficeSenior
Berlin
Neuer Job?Nejo!
Dein persönlicher KI-Karriere-Agent
THThryve
Senior Data Engineer (Product-focused)(m/w/x)
Berlin
Vollzeitmit HomeofficeSenior
AI/ML
Nejo KI-Zusammenfassung
Building real-time data processing microservices and evolving data lake (ClickHouse) for health tech SaaS. Deep understanding of biological signals required. Virtual shares, flexible work locations, BVG Job Ticket.
Anforderungen
- Motivation for handling complex data challenges
- Deep understanding of biological signals
- Questioning assumptions in data
- Building systems for real-world complexity
- Building systems that interpret and stabilize data
- Curiosity about wearables and data generation
- Strong analytical thinking
- Deep understanding of data problems
- Solid SQL experience
- Solid data modeling experience
- Hands-on ClickHouse experience
- Experience building data pipelines
- Experience operating data pipelines
- Experience developing Python microservices
- Experience deploying applications in Kubernetes
- Experience configuring applications via Helm Charts
- Ability to work independently
- Ownership of systems end-to-end
- Experience with wearable data
- Experience with health data
- Experience with time-series data
- Interest in biology
- Interest in physiology
- Interest in medical applications
- Strong sense of data quality
- Curiosity-driven exploration
- Experience with unstructured data pipelines
- Experience with health data standards
- Familiarity with feature store architectures
Aufgaben
- Design and build microservices for real-time data processing
- Operate and evolve our data lake (ClickHouse) and ingestion pipelines
- Develop and maintain robust streaming and CDC pipelines (Kafka, Debezium)
- Improve data quality and reliability with noisy, inconsistent wearable data
- Collaborate with analytics and AI teams for high-quality use cases
- Serve as a technical sparring partner for data modeling and pipeline design
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- SQL
- ClickHouse
- Kafka
- CDC
- Python
- Kubernetes
- ArgoCD
- Helm Charts
- Debezium
- RabbitMQ
- OpenTelemetry
- Grafana
- Tempo
- Loki
- Prometheus
- NoSQL
- S3
- HL7
- FHIR
Benefits
Sonstige Vorteile
- Virtual shares
Flexibles Arbeiten
- Flexible work locations
Öffi Tickets
- BVG Job Ticket
Gesundheits- & Fitnessangebote
- Urban Sports Club Membership
Firmenfahrrad
- Subsidized Swapfiets Bike Subscription
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Thryve erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Noch nicht perfekt?
- yoummday
Senior Data Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin, München, Halle (Saale) - Data4Life
Data Engineer(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenBerlin, Potsdam - Statista
Data Engineer - Healthcare(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenHamburg, Berlin - 4flow SE
Senior Data Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin
THThryve
Senior Data Engineer (Product-focused)(m/w/x)
Berlin
Vollzeitmit HomeofficeSenior
AI/ML
Nejo KI-Zusammenfassung
Building real-time data processing microservices and evolving data lake (ClickHouse) for health tech SaaS. Deep understanding of biological signals required. Virtual shares, flexible work locations, BVG Job Ticket.
Anforderungen
- Motivation for handling complex data challenges
- Deep understanding of biological signals
- Questioning assumptions in data
- Building systems for real-world complexity
- Building systems that interpret and stabilize data
- Curiosity about wearables and data generation
- Strong analytical thinking
- Deep understanding of data problems
- Solid SQL experience
- Solid data modeling experience
- Hands-on ClickHouse experience
- Experience building data pipelines
- Experience operating data pipelines
- Experience developing Python microservices
- Experience deploying applications in Kubernetes
- Experience configuring applications via Helm Charts
- Ability to work independently
- Ownership of systems end-to-end
- Experience with wearable data
- Experience with health data
- Experience with time-series data
- Interest in biology
- Interest in physiology
- Interest in medical applications
- Strong sense of data quality
- Curiosity-driven exploration
- Experience with unstructured data pipelines
- Experience with health data standards
- Familiarity with feature store architectures
Aufgaben
- Design and build microservices for real-time data processing
- Operate and evolve our data lake (ClickHouse) and ingestion pipelines
- Develop and maintain robust streaming and CDC pipelines (Kafka, Debezium)
- Improve data quality and reliability with noisy, inconsistent wearable data
- Collaborate with analytics and AI teams for high-quality use cases
- Serve as a technical sparring partner for data modeling and pipeline design
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- SQL
- ClickHouse
- Kafka
- CDC
- Python
- Kubernetes
- ArgoCD
- Helm Charts
- Debezium
- RabbitMQ
- OpenTelemetry
- Grafana
- Tempo
- Loki
- Prometheus
- NoSQL
- S3
- HL7
- FHIR
Benefits
Sonstige Vorteile
- Virtual shares
Flexibles Arbeiten
- Flexible work locations
Öffi Tickets
- BVG Job Ticket
Gesundheits- & Fitnessangebote
- Urban Sports Club Membership
Firmenfahrrad
- Subsidized Swapfiets Bike Subscription
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Thryve erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Über das Unternehmen
Thryve
Branche
Healthcare
Beschreibung
Thryve is a pioneering B2B SaaS company operating at the forefront of healthcare digitization globally.
Noch nicht perfekt?
- LiveEO GmbH
Senior Data Engineer - Remote Sensing & AI Pipelines(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - yoummday
Senior Data Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin, München, Halle (Saale) - Data4Life
Data Engineer(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenBerlin, Potsdam - Statista
Data Engineer - Healthcare(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenHamburg, Berlin - 4flow SE
Senior Data Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin