Tasks 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. We’re using technologies like Python, Terraform, Kubernetes and Pub/Sub
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(Senior) Data Engineer (m/f/diverse) AVIATAR

Lufthansa • 
Hamburg, Hamburg, Germany
Position Type: Permanent
Job Description:

Tasks

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.

  • 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.
  • 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.
  • 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!

Benefits

Old-age provision / employee retirement, Financial consulting / social counseling, Profit sharing / LVV (bonus), Free parking, Lufthansa shares, Flight privileges, Canteen (subsidized by employer), Jobticket / Subsidized public transport, Business cell phone / ipad, 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.

Requirements

This position allows for a remote component with occasional presence at our main location in Hamburg.

  • completed degree in computer science or a related subject
  • at least two years of experience in data engineering (setting up and operating data pipelines in big data/analytics environments)
  • at least one year 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 Jupyter, VS Code, PyCharm, git, virtual environments, CLI
  • knowledge of automated testing, CI/CD, build pipelines, monitoring
  • confident application of DevOps/SRE principles
  • experience with technologies such as Kubernetes/OpenShift, Docker, SQL/NoSQL databases, messaging (Pub/Sub, Kafka, Azure Event Hubs), Airflow, Apache Beam
  • knowledge of event driven architectures beneficial

Company

About Lufthansa Technik AG

Lufthansa Technik is the worlds leading provider of maintenance, repair, overhaul and modification services in the aviation industry. With more than 22.000 employees and over 30 international subsidiaries, the Lufthansa Technik Group offers around 800 customers around the world a complete range of aircraft technology services.

The fascination for flying is what connects us all. In front of the engine or behind the laptop, in logistics or on the smallest individual part. We make aviation safe, rethink it – and still keep our feet on the ground. Because only when every move is perfect and we discover innovative possibilities even in the smallest detail, we are proud. We believe in the potential of the individual. And in the fact that this potential grows best in the community. Our diversity makes us strong and allows us to stand out together.

www.lufthansa-technik.de
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