Du berätst Kunden bei der Erreichung ihrer Geschäftsz Ziele und entwickelst cloud-basierte Daten- sowie Machine-Learning-Lösungen.
Anforderungen
- •Previous experience in Artificial Intelligence projects
- •Project experience in complex cloud-based solutions
- •Experience in Python, Java, and SQL
- •Knowledge of Hadoop or Spark
- •Completed university studies in quantitative fields
- •Ability to communicate analytical results convincingly
- •Interest in the full lifecycle of Data
- •Fluent in English, speaks German at B2 Level
Deine Aufgaben
- •Mit Kunden über Geschäftsziele sprechen
- •Cloud-basierte Daten- und ML-Lösungen entwerfen
- •Skalierbare Datenpipelines aufbauen und pflegen
- •Mit cross-funktionalen Teams zusammenarbeiten
- •Über aktuelle Trends in Cloud-Technologien informiert bleiben
- •Klienten bei strategischen Entscheidungen beraten
Deine Vorteile
Zugang zu Projekten in verschiedenen Branchen
Interdisziplinäre Weiterbildungsmöglichkeiten
Kooperationen in Cloud, BI und AutoML
Aktives Sozialprogramm mit Veranstaltungen
Offene, flache Arbeitsumgebung
Ausgezeichnete Büroflächen in München
State-of-the-art Equipment nach Wahl
Öffentliches Verkehrsticket mit Deutschlandticket
Fitnessstudio-Mitgliedschaftszugehörigkeit
Flexible Arbeitsumgebung zwischen Klient und Remote
Original Beschreibung
## Cloud and Data Engineer (m/f/d)
**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 cloud-based 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 cloud-based 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 cross-functional teams to implement machine learning models and data pipelines.
* Stay up to date with the latest trends and advancements in cloud-based 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 mid-market 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 industry-leading 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 knowledge-sharing network.
* Award-winning office space in downtown Munich with access to “Stammstrecke.”
* State-of-the-art 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.
## 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 cloud-based 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.