Job
- Level
- Senior
- Job Feld
- Data, Back End
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- Köln
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In diesem Job entwickelst du robuste Datenpipelines, entwirfst skalierbare Transformationslogik und implementierst MLOps-Infrastruktur für Machine Learning-Workflows, während du eng mit Data Scientists zusammenarbeitest.
Job Technologien
Deine Rolle im Team
- We are looking for a versatile, senior Data / ML Engineer to join us. You will sit at the critical intersection of Data Engineering and Machine Learning, serving as the bridge between raw data infrastructure and production-ready AI models.
- This role requires a pragmatic engineering mindset. You will be responsible for architecting robust data pipelines, designing scalable transformation logic, and building the MLOps infrastructure required to deploy, monitor, and scale machine learning workflows in production.
- Design, build, and maintain scalable, fault-tolerant data pipelines (ETL/ELT) to ingest and process large-scale structured and unstructured data using Spark and cloud-native architectures.
- Collaborate closely with Data Scientists to transition experimental models into clean, production-ready code and robust pipelines.
- Implement advanced data modeling and transformation logic to ensure high-fidelity inputs for both downstream models and business analytics.
- Build continuous integration and deployment (CI/CD) pipelines for data and ML workflows, ensuring system reliability, data quality, and uptime.
Unsere Erwartungen an dich
Qualifikationen
- Deep understanding of data pipeline orchestration, distributed processing, and building resilient, testable ETL/ELT systems.
- Solid grasp of data modeling concepts, especially in the context of analytics and reporting (conceptual, logical, and physical models).
- Familiarity with streaming data frameworks (Kafka, Event Hubs, or similar).
- Ability to explain complex technical concepts to both technical and non-technical stakeholders.
- Strong ability to work effectively with cross-functional teams including data science, engineering, and business units.
- Skilled in balancing immediate business needs with long-term technical feasibility.
- High attention to detail with a strong focus on data quality, accuracy, and reliability.
- A self-starter with strong organizational skills and the ability to drive initiatives from concept to completion.
Erfahrung
- 7+ years of experience in data engineering, ideally with hands-on exposure to analytics engineering practices (e.g., data modeling, transformation logic).
- Proven experience working closely with data scientists or driving data science projects with a highly pragmatic, production-focused mindset.
Benefits
Gesundheit, Fitness & Fun
Work-Life-Integration
Mehr Netto
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Eurowings Aviation GmbH
Unsere Kunden sollen ein möglichst reibungsloses Reiseerlebnis haben. Darum tun wir alles, um den digitalen Reisebegleiter der Zukunft zu kreieren. Er wird unsere Kunden bei all ihren Bedürfnissen unterstützen - angefangen bei der Motivation durch "Horizons by Eurowings" bis hin zu angenehmen Erinnerungen!
Description
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Logistik, Transport
Senior Data/ML Engineer
- Ort
- Köln
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
