We’re looking for someone to join our team of data engineers, developing new data pipelines and scaling the existing ones for a growing number of customers and use cases.
1. We’re using technologies like Python, Terraform, Kubernetes and Pub/Sub to run event-based data pipelines, processing millions of new data points every day on the Google Cloud Platform.
2. We’re rolling out new features multiple times a day through fully automated Infrastructure as Code and CI/CD pipelines, including code reviews and automated tests.
3. We take responsibility for the full DevOps cycle, but thanks to managed cloud services and automation, we spend most of our time actually working on new features and architecture optimisations, rather than responding to ops issues.
And if this sounds like an exciting environment to work in, we haven’t even mentioned benefits like standby flying for your work/life balance yet. Let’s talk!
Contact
Dimitri Reiswich
AVIATAR
Lufthansa Technik AG
LinkedIn
Old-age provision / employee retirement, Financial consulting / social counseling, Company bonus (if applicable), Free parking, Lufthansa shares, Flight privileges, Canteen (subsidized by employer), Jobticket / Subsidized public transport, Support for relocation, Discounts / shopping, Employee events (summer festivals, participation in sports competitions etc), Sabbatical / exemptions, Part-time models, Hybrid working possible, Family days (family gets to know workplace), Flexible working hours, Development programs / Training opportunities, Binding program / network program, Doctor‘s office, Fitness studio / sports facilities / company football etc.
4. completed degree in computer science or a related subject
5. at least two years of experience in data engineering (setting up and operating data pipelines in big data/analytics environments)
6. at least one year of experience with one or more of the major cloud providers (GCP/Azure/AWS)
7. experience in software development with Python, knowledge of tools such as Jupyter, VS Code, PyCharm, git, virtual environments, CLI
8. knowledge of automated testing, CI/CD, build pipelines, monitoring
9. confident application of DevOps/SRE principles
10. experience with technologies such as Kubernetes/OpenShift, Docker, SQL/NoSQL databases, messaging (Pub/Sub, Kafka, Azure Event Hubs), Airflow, Apache Beam
11. knowledge of event driven architectures beneficial