Job
- Level
- Senior
- Job Field
- Data, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Kirchhellen
- Working Model
- Onsite
Job Summary
In this role, you design and operate scalable Python microservices and data pipelines for our cloud-native platform, implement AI and ML features, and optimize data infrastructure and CI/CD processes.
Job Technologies
Your role in the team
- As part of our Data & AI team, you will shape the next generation of our cloud-native industry analysis platform.
- The focus of the role is on Platform and Data Engineering - designing, building, and operating scalable Python microservices, cloud infrastructure, and event-driven data pipelines.
- Based on this foundation, you develop AI and ML functions that help industrial plants operate more efficiently, sustainably, and intelligently.
- Further development and operation of a Python microservices platform with well-defined service interfaces, shared libraries, and strict engineering standards (mypy, Pydantic v2, pytest/TDD, ruff).
- Design and implementation of event-driven architectures with RabbitMQ, Redis Streams, and Google Cloud Pub/Sub.
- Building and maintaining reliable data pipelines using relational databases, BigQuery, and streaming systems.
- Operation and further development of CI/CD pipelines (GitHub Actions) as well as Kubernetes deployments.
- Development and deployment of ML models for anomaly detection, predictive maintenance, and energy optimization.
- Development of AI agent systems and LLM-powered applications with tool integrations.
- Ownership across services: deployment, monitoring, code reviews, and further development.
- Close collaboration with international engineering teams and direct influence on platform architecture.
- Mentoring and active contribution to the engineering culture.
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Our expectations of you
Education
- Completed degree in Computer Science, Mathematics, or a related field.
Qualifications
- Proficient in Docker and Kubernetes.
- Independent management of CI/CD pipelines (e.g., GitHub Actions, GitLab CI).
- Strong sense of personal responsibility as well as excellent communication skills in English.
- Knowledge of LLM / AI agent systems and RAG architectures is an advantage.
- Knowledge in industrial domains: sensor data, IoT, plant monitoring advantageous.
Experience
- At least 4 years of experience in Python development as a Data Backend or Platform Engineer.
- Proven experience with microservice architectures, service ownership, and production-level operation of services.
- Python: Experience with mypy, Pydantic, and consistent use of Type Hints.
- Experience with event-driven systems (Message Queues, Streaming, asynchronous service patterns).
- Experience in Data Engineering and working with analytical databases (BigQuery or comparable).
- Experience with ML model development and deployment in production environments (anomaly detection, predictive maintenance) is an advantage.
- Experience with high-performance data processing (Polars, Spark) and workflow orchestration is an advantage.
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What we offer
- Flat hierarchies as well as autonomous and independent work.
- A structured onboarding process as well as a motivated and helpful team that always has an open ear for you.
- A pleasant and collegial working environment where employees of diverse backgrounds and orientations work together successfully.
- Free private parking.
- Ergonomically designed workstations and modern technical equipment.
- 30 days of vacation.
- Christmas and holiday bonuses.
- Various bonus payments.
- Benefits such as company bikes and corporate benefits.
- Specialized employee training.
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Benefits
Health, Fitness & Fun
More net
Topics that you deal with on the job
Job Locations
This is your employer
Ingersoll Rand Ltd
Ingersoll Rand, active since 1871, is a leading provider of industrial tools and compressors, known for its high product quality and engineering excellence. The company serves various industries, including mining and oil and gas.
Description
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Industry, Production
Senior Data & AI Platform Engineer
- Location
- Kirchhellen
- Working Model
- Onsite
- Diversity
- Open for all genders
