REMOTE Data Engineer

Frankfurt am Main  ‐ Hybrid


Continuous Integration Artificial Intelligence Amazon Web Services Microsoft Azure Infrastructure Management Kubernetes Architecture Automation Test Automation Extract Transform Load (ETL) Python (Programming Language) SQL Databases Java (Programming Language) Business Intelligence Cloud Computing Computer Security Databases Continuous Delivery Information Engineering Data Modeling Relational Databases DevOps Web Development Governance Node.Js Testing Git Pandas AngularJS Front End Software Development Restful Api Terraform Docker


We are currently in a search for two Senior Data Engineers to scale up AI projects. Role 1:Your tasks will consist of developing further the scaling of AI throughout the company as well as providing technical governance and establishing Infrastructure-as-Code, based on Kubernetes as well as AWS and Azure services. Moreover, you will plan and furrther develop existing CI/CD pipelines for deployment of containers/lambdas/database scripts etc. and integrate automated testing frameworks into CI/CD

Role 2: Your tasks will consist of Establishment of development infrastructure using Infrastructure-as-Code, based on Kubernetes as well as AWS and Azure services. Frontend web development (Angular and Nodejs) and integration of automated testing (CI/CD pipelines). You will continue the development of containers based on Python / Java. Everything should be done while ensuring compliance with IT security requirements

Project details:
• Starting period: 26.02.2024
• Ending period: 31.12.2024 (possible extension)
• Full-time (5 days/week)
• Location: Remote/Frankfurt (20%)
• Languages: German

Must-have experiences:
Role 1:
• AI models using ML frameworks in operational use(>3 years)
• GIT, Continuous Integration/Continuous Deployment (CICD), Testing and DevOps (>3 years)
• Development and automation of ETL pipelines and data modeling (Python, Pandas, SQL, REST.) (>3 years)
• (AWS/Azure) and Kubernetes(>3 years)
• VSCode and Docker containers (min. 1 year)

Role 2:
• AI models using ML frameworks in operational use(>3 years)
• Architecture and implementation knowledge in the field of Infrastructure-as-Code (especially Terraform and CDK) and cloud deployments (AWS and Azure) (>2 years)
• Architecture and implementation knowledge of relational databases( SQL, ETL, and BI tools)
• Development of web frontends
• deployment, automation, and monitoring of CI/CD pipelines

If you see yourself as the perfect fit or have someone in your network, who might be interested, we will be happy to work together!
Start date
100% (5 days per week)
9 months
(extension possible)
Digital Associates GmbH
Published at
Contact person:
Georgi Radev
Project ID:
Traffic and Logistics
Contract type
80 % remote
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