Senior Cloud Consultant - Data and Machine Learning Engineer

February 27

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Auvaria

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Auvaria is a consulting and engineering company with focus on AWS, based in Vienna, Austria and Berlin, Germany. Our team provides specialized cloud services along the entire cloud journey, regardless of what phase you are currently in: From strategy to migrations, architecture modernization, DevOps, data & analytics, security, and managed services.

Cloud Consulting • AWS Consulting • Cloud Transformation • DevOps Engineering • Cloud Security

11 - 50 employees

📋 Description

• Welcome to Auvaria, where passion, team spirit, responsibility and courage form the basis of our culture. • You will play an important role in the implementation of complex cloud projects, focusing on data engineering and machine learning solutions. • Furthermore, you assume responsibility for the technical architecture and implementation of cloud solutions for our customers. • Comprehensively advise our customers on all technical aspects of cloud solutions, focusing on data infrastructure, ETL processes, and machine learning architectures. • Develop innovative and scalable cloud architectures that meet specific customer requirements. • Take responsibility for the implementation and operation of AWS-based solutions, configuring, optimizing, and monitoring cloud infrastructures, ETL pipelines, and ML models to ensure smooth operation. • Design, implement, and deploy machine learning models, with a strong focus on Generative AI and prompt engineering using AWS SageMaker and Bedrock. • Develop and maintain robust ETL processes on AWS, ensuring data quality, consistency, and availability for analytics and machine learning purposes. • Implement and maintain Infrastructure as Code solutions using Terraform, and establish efficient CI/CD pipelines for both infrastructure and application deployments. • Support sales in pre-sales activities and present the advantages of cloud-based data and ML solutions to our customers. • Share your cloud, data, and ML expertise with colleagues and external participants in workshops and training courses. • Contribute to the continuous development of the team and the internal cloud competence.

🎯 Requirements

• Solid technical know-how: You have a bachelor's or Master’s degree in computer science, engineering or another relevant STEM field. • You have at least two years of experience in the IT industry, ideally with a focus on cloud technologies. • AWS Expertise: You know your way around AWS, with at least 2 years of hands-on experience. • Familiarity with data and ML services and tools is essential, and certifications like AWS Solution Architect are a big plus—or you’re ready to earn one! • Machine Learning proficiency: Extensive experience in developing and deploying machine learning models, with a particular focus on Generative AI and prompt engineering. • Proficiency in using AWS SageMaker and Bedrock for ML workflows. • Data Engineering skills: Strong experience in designing and implementing ETL processes on AWS. • Proficiency in working with various databases and SQL. • Programming skills: Strong proficiency in Python for both software engineering and data science tasks. • CI/CD knowledge: Experience in implementing and maintaining CI/CD pipelines for both infrastructure and application deployments. • Proven experience with IaC: You have good experience with Infrastructure as Code (IaC) using tools like Terraform, CloudFormation, AWS CDK or Pulumi. • Project management experience: You have experience in managing IT projects and are familiar with agile methods such as Scrum or Kanban. • Ideally, you are able to plan, organize and successfully complete complex projects. • Communication and Consulting skills: You are comfortable expressing ideas in both English and German and can explain technical topics in simple terms to different audiences. • You enjoy working with others and building good relationships with customers or teammates. • Previous consulting experience in a professional services environment is highly desirable. • Learning efficiency: You have excellent learning skills and are always motivated to learn new technologies and customer environments. • You are curious and open to new challenges and are not afraid to learn new things.

🏖️ Benefits

• Personal mentoring: An experienced colleague is at your side and supports you in your first steps. • Digital onboarding sessions: Our digital onboarding sessions will teach you everything you need to know about Auvaria, our culture and your tasks. • Free certifications: Increase your market value and gain recognized certifications • Flexibility: Thanks to our 4-day week at 36 hours per week and the possibility to work remotely, there is enough time to adapt the work to your needs - and not the other way around. • Minimal travel: Travel is limited to a maximum of 25% of your working hours. This gives you more time for your actual work. • Afterwork events: Get to know your colleagues in a relaxed atmosphere at our regular afterwork events in Vienna, Hamburg, Novi Sad and virtually. • On-site team events: Regular team events strengthen team spirit and ensure lots of fun.