(Senior) Python Software Developer (m/f/diverse) @ AVIATAR

Lufthansa Technik AG; Hamburg; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

Join Lufthansa Technik AG as a (Senior) Python Software Developer in Hamburg. In this role, you'll work with data engineers to develop and scale data pipelines using modern cloud technologies like Python, Kubernetes, and Terraform. Enjoy benefits like flight privileges, flexible working hours, and a chance to contribute to innovative projects in a supportive environment.

Leistungen

Old-age provision / employee retirement

Company bonus (if applicable)

Flexible working hours

Development programs / Training opportunities

Flight privileges

Hybrid working possible

Employee events (summer festivals, sports competitions)

Qualifikationen

• At least two years of experience in data engineering with data pipelines.
• One year experience with major cloud providers (GCP/Azure/AWS).
• Experience in software development with Python.

Aufgaben

• Develop new data pipelines and scale existing ones for multiple customers.
• Utilize event-based data pipelines on Google Cloud Platform.
• Implement automated Infrastructure as Code and CI/CD practices.

Kenntnisse

Python

DevOps

Data Engineering

Cloud Services

CI/CD

Automated Testing

Ausbildung

Degree in Computer Science or related field

Tools

Terraform

Kubernetes

Pub/Sub

SQL

NoSQL

Docker

Apache Beam

Airflow

Jobbeschreibung

(Senior) Python Software Developer (m/f/diverse) @ AVIATAR, Hamburg

Client:

Lufthansa Technik AG

Location:

Hamburg, Germany

Job Category:

Other

EU work permit required:

Yes

Job Reference:

9b4800cba1ad

Job Views:

3

Posted:

27.06.2025

Expiry Date:

11.08.2025

Job Description:

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!

Contact:

DimitriReiswich

AVIATAR
Lufthansa Technik AG

Benefits include:

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.

Minimum Requirements:

• 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

Additional Notes:

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