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Simon-Kucher
2mo ago

Senior Manager – Data Engineering(m/w/x)

Berlin, Bonn, Köln, Frankfurt am Main, Hamburg, München
Full-timeWith Home OfficeSenior
AI/ML

Description

In this role, you will empower organizations by transforming raw data into actionable insights, designing robust data architectures, and leading cloud management strategies. Your day-to-day responsibilities will involve collaborating with teams to optimize data flows and ensuring seamless deployment of AI/ML models.

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Requirements

  • •At least 6 years of relevant industry experience
  • •Proven success in deploying production-grade data and AI/ML solutions
  • •Deep knowledge of cloud platforms (AWS, Azure, or GCP)
  • •Strong expertise in DevOps, including CI/CD pipelines
  • •Hands-on experience building, deploying, and scaling high-availability environments
  • •Demonstrated ability to implement robust monitoring, logging, and security practices
  • •Track record of optimizing system performance and reliability
  • •Excellent communication skills to convey technical concepts
  • •Proven leadership in managing teams through complex projects
  • •A standout university degree in a relevant field

Education

Bachelor's degree

Work Experience

6 years

Tasks

  • •Ensure stakeholders have access to complete and relevant data
  • •Transform complex datasets into structured, actionable outputs
  • •Deliver automated, reliable data flows for operational efficiency
  • •Present technical concepts to both technical and non-technical stakeholders
  • •Create clear visualizations that translate technical analysis into business insights
  • •Design and implement end-to-end data architectures on AWS, Azure, or GCP
  • •Collaborate with data science and engineering teams to optimize data pipelines
  • •Establish data management best practices for compliance and security
  • •Architect and maintain scalable cloud environments for AI applications
  • •Define cloud stack design focusing on availability, security, and cost-efficiency
  • •Advise on implementing infrastructure as code principles using Terraform or CloudFormation
  • •Design and manage CI/CD pipelines for AI/ML model deployment
  • •Orchestrate containerized environments for efficient application delivery
  • •Establish MLOps best practices, including model monitoring and automated retraining

Tools & Technologies

AWSAzureGCPDockerKubernetesTerraformCloudFormation

Languages

English – Business Fluent

German – Business Fluent

Benefits

Flexible Working

  • •Hybrid working

Childcare

  • •Daycare allowance

Corporate Discounts

  • •Corporate discounts

Mental Health Support

  • •Wellbeing support

Snacks & Drinks

  • •Healthy snacks and beverages

Team Events

  • •Employee events
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