Cloud and Data Engineer mfd

Machine Learning Reply; München; Hybrid; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

Join a leading company as a Cloud and Data Engineer Consultant in Munich. You'll provide expert guidance on cloud-based data solutions, focusing on AWS, GCP, or Azure. Collaborate with teams to implement machine learning models and ensure data quality. Enjoy a flexible work environment and opportunities for professional growth across various industries.

Leistungen

Gym membership subsidy

Flexible work environment

State-of-the-art equipment

Active social program

Qualifikationen

• Experience in AI projects and cloud technologies.
• Proficiency in Python, Java, and SQL.
• Fluency in English and at least B2 level in German.

Aufgaben

• Consult with clients to understand their business objectives.
• Design and develop cloud-based data and machine learning solutions.
• Build and maintain scalable data pipelines.

Kenntnisse

Python

Java

SQL

AI

Cloud Technologies

Ausbildung

Business Informatics

Data Science

Computer Science

Tools

Hadoop

Spark

Kubernetes

Docker

Terraform

CloudFormation

Jobbeschreibung

Machine Learning Reply provides customized end-to-end solutions in the data science field that cover the entire project life cycle, from initial strategic consulting to data architecture, infrastructure, data processing, and quality assurance using machine learning algorithms. We enable our customers to implement new data-driven business models and optimize existing processes and products, focusing on open-source and cloud technologies.

About the role :

We are seeking a talented and highly skilled Cloud and Data Engineer Consultant with a technical background to join our team. As a Consultant, you will provide expert guidance and technical support to our clients in leveraging cloud-based data and machine learning solutions, with a focus on AWS, GCP, or Azure. The ideal candidate has a solid background in software development, knowledge of cloud solutions, and a passion for data and AI.

Responsibilities :

1. Consult with clients to understand their business objectives, data engineering, and machine learning requirements.
2. Design and develop cloud-based data and machine learning solutions using AWS, GCP, and/or Azure services and tools.
3. Build and maintain scalable data pipelines, ensuring data quality and reliability.
4. Collaborate with cross-functional teams to implement machine learning models and data pipelines.
5. Stay up-to-date with the latest trends and advancements in cloud technologies, data engineering, and AI.
6. Advise clients on strategic decisions and take ownership of implementing suggested solutions.

What we offer you :

• Opportunities to work on projects across various industries (banking, insurance, automotive, retail, etc.).
• Broaden your skills through interdisciplinary work and training in data engineering, cloud architecture, and data science.
• Industry-leading collaborations in cloud, BI, and AutoML fields.
• An active social program including training, conferences, team-building, communities of practice, and hackathons.
• An open, flat work environment within a broad Reply knowledge-sharing network.
• Award-winning office space in downtown Munich with access to Stammstrecke.
• State-of-the-art equipment of your choice.
• Gym membership subsidy.
• Flexible work environment combining client sites, Reply offices, and remote work.

Job requirements

Minimum Qualifications :

• Experience or interest in AI projects and cloud technologies.
• Project experience in designing complex cloud-based solutions, through internships or professional work.
• Proficiency in Python, Java, and SQL.
• Knowledge of distributed data processing technologies like Hadoop or Spark.
• Strong academic background in Business Informatics, Data Science, Computer Science, or similar.
• Ability to communicate and present analytical results convincingly to management.
• Interest or experience in the full data lifecycle: from cloud infrastructure, data engineering, analytics, visualization, to ML engineering and MLOps.
• Fluency in English and at least B2 level in German.

Desired Qualifications :

• Extensive experience with cloud platforms (AWS, Azure, GCP).
• Cloud provider certifications are advantageous.
• Understanding of database infrastructure, data models, and ETL processes.
• Kubernetes and/or Docker knowledge is a plus.
• Experience with Infrastructure as Code tools like Terraform or CloudFormation is beneficial.
• Interest in agile project management methodologies.

What are you waiting for?

Join our team at Machine Learning Reply as a Cloud and Data Engineer Consultant in Munich! For questions or to apply, please contact Jonas Heepen directly.