LiveEO GmbH
Senior Data Engineer - Remote Sensing & AI Pipelines(m/w/x)
Full-timeWith HomeofficeSenior
Berlin
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THThryve
Senior Data Engineer (Product-focused)(m/w/x)
Berlin
Full-timeWith Home OfficeSenior
AI/ML
Nejo AI Summary
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.
Requirements
- 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
Tasks
- 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
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- SQL
- ClickHouse
- Kafka
- CDC
- Python
- Kubernetes
- ArgoCD
- Helm Charts
- Debezium
- RabbitMQ
- OpenTelemetry
- Grafana
- Tempo
- Loki
- Prometheus
- NoSQL
- S3
- HL7
- FHIR
Benefits
Other Benefits
- Virtual shares
Flexible Working
- Flexible work locations
Public Transport Subsidies
- BVG Job Ticket
Healthcare & Fitness
- Urban Sports Club Membership
Company Bike
- Subsidized Swapfiets Bike Subscription
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Thryve and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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THThryve
Senior Data Engineer (Product-focused)(m/w/x)
Berlin
Full-timeWith Home OfficeSenior
AI/ML
Nejo AI Summary
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.
Requirements
- 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
Tasks
- 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
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- SQL
- ClickHouse
- Kafka
- CDC
- Python
- Kubernetes
- ArgoCD
- Helm Charts
- Debezium
- RabbitMQ
- OpenTelemetry
- Grafana
- Tempo
- Loki
- Prometheus
- NoSQL
- S3
- HL7
- FHIR
Benefits
Other Benefits
- Virtual shares
Flexible Working
- Flexible work locations
Public Transport Subsidies
- BVG Job Ticket
Healthcare & Fitness
- Urban Sports Club Membership
Company Bike
- Subsidized Swapfiets Bike Subscription
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Thryve and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Thryve
Industry
Healthcare
Description
Thryve is a pioneering B2B SaaS company operating at the forefront of healthcare digitization globally.
Not a perfect match?
- LiveEO GmbH
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