7 beste Stellen als cloud platform engineer in frechen – aktuell auf Personalsuche

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- Vollzeit
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- Englisch
- Master
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MobiLab Solutions GmbH —Köln
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REWE digital —Köln
- Online-Bewerbung
- Informatik
- DevOps
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- Flexible Arbeitszeiten
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Senior Data/ML Engineer (all genders)

Eurowings Digital GmbH -
Köln

Jetzt bewerben

Details zur Stelle

Vollzeit
vor 19 Stunden

Qualifikationen

CI/CD
Azure
Spark
Machine Learning
Scala
Terraform
GitHub
Kafka
Python

Vollständige Stellenbeschreibung

Job overview

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.

What you will do

Data Infrastructure & Pipelines: 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
ML Systems & MLOps: Collaborate closely with Data Scientists to transition experimental models into clean, production-ready code and robust pipelines
Analytics Engineering: Implement advanced data modeling and transformation logic to ensure high-fidelity inputs for both downstream models and business analytics
Operational Excellence: Build continuous integration and deployment (CI/CD) pipelines for data and ML workflows, ensuring system reliability, data quality, and uptime

Technical Stack:

Languages & Frameworks: Scala, Python, SQL, Spark (with experience using Spark in production environments)
Cloud & Infra: Azure Cloud Platform, Databricks, Kafka
CI/CD & IaC: Azure DevOps / GitHub, Terraform

Job Title

Senior Data/ML Engineer

What you will need

Experience: 7+ years of experience in data engineering, ideally with hands-on exposure to analytics engineering practices (e.g., data modeling, transformation logic)
Data Science Partnership: Proven experience working closely with data scientists or driving data science projects with a highly pragmatic, production-focused mindset
Core Engineering: Deep understanding of data pipeline orchestration, distributed processing, and building resilient, testable ETL/ELT systems
Data Modeling: Solid grasp of data modeling concepts, especially in the context of analytics and reporting (conceptual, logical, and physical models)
Streaming: Familiarity with streaming data frameworks (Kafka, Event Hubs, or similar)

What you will bring

Excellent Communication: Ability to explain complex technical concepts to both technical and non-technical stakeholders
Collaboration Mindset: Strong ability to work effectively with cross-functional teams including data science, engineering, and business units
Stakeholder Management: Skilled in balancing immediate business needs with long-term technical feasibility
Quality Focus: High attention to detail with a strong focus on data quality, accuracy, and reliability
Execution: A self-starter with strong organizational skills and the ability to drive initiatives from concept to completion

Inclusivity

all genders

Workplace type

Hybrid

About us

We are dreamers, doers, and enthusiasts!

Our mission is to enable our customers on leisure and/or business travel to enjoy a seamless travel booking experience from the tip of their fingers. Therefore, we are continuously working passionately on providing diverse and attractive offers on our online booking platforms Eurowings & Eurowings Holidays and mobile Apps to empower our customers with relevant information and smart digital services throughout their travel experience.

Jetzt bewerben

Erweiterte Suche

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