Job
- Level
- Senior
- Job Field
- Data
- Employment Type
- Part Time/Full Time
- Contract Type
- Permanent employment
- Location
- Hamburg
- Working Model
- Hybrid
Job Technologies
Your role in the team
- We're looking for someone to join our team of data and machine learning engineers, developing new data, ML and analytics pipelines and scaling the existing ones for a growing number of customers and use cases.
- We're using technologies like Python, Terraform, Kubernetes, Docker & Pub/Sub to run event-based analytics pipelines, processing new data points every day on the Google Cloud Platform.
- We have developed an ML Ops stack allowing us to seamlessly deploy our models into a production environment.
- We're rolling out new features through fully automated CI/CD pipelines including code reviews & automated tests.
- We take responsibility for the full DevOps cycle, but thanks to managed cloud services & automation, we spend most of our time working on new features & architecture optimizations, rather than responding to ops issues.
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Our expectations of you
Education
- completed degree in computer science or a related subject
Qualifications
- Knowledge of automated testing, CI/CD, build pipelines, monitoring
- Confident application of DevOps/SRE principles
Experience
- at least four years of experience in data engineering (setting up and operating data pipelines in big data/analytics environments)
- at least two years of experience with one or more of the major cloud providers (GCP/Azure/AWS)
- Experience in software development with Python, knowledge of tools such as VS Code, PyCharm, git, Jupyter, pip, conda, CLI
- Experience with Machine Learning Operations and running ML models in a production environment
- Experience with technologies such as Kubernetes/OpenShift, Docker, SQL/NoSQL databases, messaging (Pub/Sub, Kafka, Azure Event Hubs), Airflow, Apache Beam
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Benefits
Work-Life-Integration
- 🏠Home Office
- 🧳Relocation Support
- ⏸Educational Leave/Sabbatical
- 🅿️Employee Parking Space
- ⏰Flexible Working Hours
Food & Drink
More net
Health, Fitness & Fun
Job Locations
Location Hamburg
Germany
This is your employer
Lufthansa Industry Solutions GmbH
Lufthansa Industry Solutions is a service company specializing in IT consulting and system integration. The Lufthansa subsidiary supports its customers in digital transformation of their businesses. Customers include companies within the Lufthansa Group as well as more than 200 other companies in various industries. The company, headquartered in Norderstedt, employs over 1,800 employees at various locations in Germany, Albania, Switzerland and the USA.
Description
- Company Size
- 250+ Employees
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Aviation, Space Travel, Logistics, Transportation
Senior Data Machine Learning Engineer
- Location
- Hamburg
- Working Model
- Hybrid
