Cloud data engineer Jobs in München

Job description

Company overview :

Machine Learning Reply provides customized endtoend solutions in the data science field that cover the entire project life cycle from initial strategic consulting to data architecture and infrastructure topics through to data processing and quality assurance using machine learning algorithms. We enable our customers to successfully implement new datadriven business models as well as optimize existing processes and products with a focus on opensource 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 be responsible for providing expert guidance and technical support to our clients in leveraging cloudbased data and machine learning solutions with a specific focus on AWS GCP or Azure. The ideal candidate for this role possesses a solid background in Software Development knowledge of Cloud Solutions and shares our passion for Data and AI.

Responsibilities :

Consult with clients to understand their business objectives data engineering and machine learning requirements.

Design and develop cloudbased data and machine learning solutions using AWS GCP and / or Azure services and tools.

Build and maintain scalable data pipelines ensuring data quality and reliability.

Collaborate with crossfunctional teams to implement machine learning models and data pipelines.

Stay up to date with the latest trends and advancements in cloudbased technologies data engineering and AI.

Advise clients on strategic decisions and take ownership of the implementation of the suggested solutions.

What we offer you :

Access to work on projects across industries (large and midmarket companies in Banking Insurance Automotive Retail etc..

Broaden your skills through interdisciplinary work and training in the areas of data engineering cloud architecture and data science.

Benefit from industryleading cooperations in the cloud BI and AutoML fields.

A very active social program including training conferences team buildings Reply Exchange communities of practice and hackathons.

Work in an open flat environment within a broad Reply knowledgesharing network.

Awardwinning office space in downtown Munich with access to Stammstrecke.

Stateoftheart equipment of your choice.

Public transport ticket with Deutschlandticket.

Gym membership subsidy for a gym of your choice.

Flexible work environment between client Reply office and remote work.

Job requirements

Minimum Qualifications :

Previous experience and / or interest in the area of Artificial Intelligence projects and Cloud.

Project experience either through internships or similar corporate experience in designing complex cloudbased solutions.

Experience in Python Java and SQL.

Knowledge of Distributed Data Processing technologies like Hadoop or Spark.

Successfully completed university studies with a strong quantitative background for example in Business Informatics Data Science Informatics Computer Science or similar.

Ability to convincingly communicate and present analytical results to management.

Interest and / or experience in the full lifecycle of Data : from Cloud Infrastructure Data Engineering Data Analytics and Visualization to ML Engineering and MLOps.

Fluent in English and able to speak German at least at a B2 Level.

Desired Qualifications :

Extensive experience working with cloud technologies (AWS Azure GCP).

Certificates from Cloud Providers are an advantage.

Understanding of underlying database infrastructure (data models ETL processes).

Kubernetes and / or Docker knowledge is a plus.

Experience in Infrastructure as Code technologies (Terraform CodeFormation) is a plus

Interest in (agile) project management.

What are you waiting for

Join our team at Machine Learning Reply as a Cloud and Data Engineer Consultant in Munich!

If you have any further questions or would like to apply please do not hesitate to write directly to Jonas Heepen .

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Your application has been successfully submitted!

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Employment Type : Full-Time

Experience : years

Vacancy : 1