Almedia
Data Engineer(m/w/x)
Full-timeOn-siteExperienced
from 190,000 / year
Berlin
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sensmoreML Ops / Data Engineer - Robotics(m/w/x)
Berlin, Potsdam
Full-timeOn-site
AI/ML
Data Science
Description
You will bridge the gap between robotics and data by building the infrastructure that powers advanced AI models, ensuring seamless data flows from complex sensors into automated ML pipelines.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •3+ years experience building cloud data pipelines
- •Proficiency in Python, SQL, and big-data frameworks
- •Familiarity with ML Ops tooling
- •Experience designing data warehouses or data lakes
- •Understanding of distributed systems and data serialization
- •Excellent problem-solving skills and adaptability
- •Background in robotics or sensor data
- •Knowledge of real-time data processing
- •Experience with infrastructure as code and CI/CD
- •Familiarity with Kubernetes and containerized deployments
- •Exposure to vision-language or action-planning models
Education
Vocational certification
OR
Bachelor's degree
Tasks
- •Design and maintain data infrastructure
- •Build and operate multi-sensor telemetry pipelines
- •Architect scalable data lakes and warehouses
- •Integrate ML Ops tools like DVC or MLflow
- •Automate model training and retraining triggers
- •Track data and model lineage
- •Implement data validation and monitoring systems
- •Collaborate on data schemas and APIs
- •Optimize distributed processing and storage performance
- •Document pipeline architectures and ML Ops practices
Tools & Technologies
AWSGCPAzurePythonSQLDVCMLflowKubeflowRedshiftSnowflakeBigQueryDelta LakeParquetAvroTerraformCloudFormationKubernetes
Languages
English – Business Fluent
Benefits
Competitive Pay
- •Attractive compensation package
- •Stock options
Snacks & Drinks
- •On-site beverages
Team Events
- •Regular social events
Other Benefits
- •Engagement with top-tier researchers
- •Influence future robotic technologies
Additional Allowances
- •Relocation assistance to Berlin
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of sensmore 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.
Not a perfect match?
- sensmore
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Full-timeOn-siteNot specifiedBerlin, Potsdam - Prior Labs
ML Engineer, Cloud Platform(m/w/x)
Full-timeOn-siteExperiencedfrom 140,000 / yearBerlin, Freiburg im Breisgau - BIT Capital
Senior Data Engineer(m/w/x)
Full-timeOn-siteSeniorBerlin - Ströer SE & Co. KGaA
Data Engineer(m/w/x)
Full-timeOn-siteExperiencedBerlin
SE
sensmoreML Ops / Data Engineer - Robotics(m/w/x)
Berlin, Potsdam
Full-timeOn-site
AI/ML
Data Science
New Job?Nejo!
The AI Job Search Engine
Description
You will bridge the gap between robotics and data by building the infrastructure that powers advanced AI models, ensuring seamless data flows from complex sensors into automated ML pipelines.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •3+ years experience building cloud data pipelines
- •Proficiency in Python, SQL, and big-data frameworks
- •Familiarity with ML Ops tooling
- •Experience designing data warehouses or data lakes
- •Understanding of distributed systems and data serialization
- •Excellent problem-solving skills and adaptability
- •Background in robotics or sensor data
- •Knowledge of real-time data processing
- •Experience with infrastructure as code and CI/CD
- •Familiarity with Kubernetes and containerized deployments
- •Exposure to vision-language or action-planning models
Education
Vocational certification
OR
Bachelor's degree
Tasks
- •Design and maintain data infrastructure
- •Build and operate multi-sensor telemetry pipelines
- •Architect scalable data lakes and warehouses
- •Integrate ML Ops tools like DVC or MLflow
- •Automate model training and retraining triggers
- •Track data and model lineage
- •Implement data validation and monitoring systems
- •Collaborate on data schemas and APIs
- •Optimize distributed processing and storage performance
- •Document pipeline architectures and ML Ops practices
Tools & Technologies
AWSGCPAzurePythonSQLDVCMLflowKubeflowRedshiftSnowflakeBigQueryDelta LakeParquetAvroTerraformCloudFormationKubernetes
Languages
English – Business Fluent
Benefits
Competitive Pay
- •Attractive compensation package
- •Stock options
Snacks & Drinks
- •On-site beverages
Team Events
- •Regular social events
Other Benefits
- •Engagement with top-tier researchers
- •Influence future robotic technologies
Additional Allowances
- •Relocation assistance to Berlin
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of sensmore 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
sensmore
Industry
Manufacturing
Description
The company automates the world's largest machines with unprecedented intelligence, integrating robotics into a platform for productivity and safety.
Not a perfect match?
- Almedia
Data Engineer(m/w/x)
Full-timeOn-siteExperiencedfrom 190,000 / yearBerlin - sensmore
Robotics Engineer - Vision Language Action Model(m/w/x)
Full-timeOn-siteNot specifiedBerlin, Potsdam - Prior Labs
ML Engineer, Cloud Platform(m/w/x)
Full-timeOn-siteExperiencedfrom 140,000 / yearBerlin, Freiburg im Breisgau - BIT Capital
Senior Data Engineer(m/w/x)
Full-timeOn-siteSeniorBerlin - Ströer SE & Co. KGaA
Data Engineer(m/w/x)
Full-timeOn-siteExperiencedBerlin