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Senior Cloud Data & AI Engineer – Databricks at ruhr.agency (ruhrdot GmbH) | JobVerse
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Senior Cloud Data & AI Engineer – Databricks
ruhr.agency (ruhrdot GmbH)
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Senior Cloud Data & AI Engineer – Databricks
Essen, North Rhine-Westphalia, Germany
Full Time
1 hour ago
$60,000 - $90,000 EUR
No Sponsorship
Apply Now
Key skills
AWS
Azure
Cloud
ERP
PySpark
Python
Spark
SQL
Unity
AI
Machine Learning
ML
GenAI
LLM
RAG
MLflow
Data Engineering
Analytics
Databricks
Git
CRM
CI/CD
About this role
Role Overview
Design and implement modern Data & AI platforms based on Databricks
Develop robust and high-performance batch and streaming pipelines using Python, SQL, Spark and PySpark
Work on scalable Lakehouse architectures for analytics, ML and GenAI use cases
Utilize core Databricks components such as Delta Lake, Unity Catalog, Workflows, MLflow, Model Serving and Vector Search in production environments
Support the development and operationalization of ML, LLM and GenAI use cases
Work on topics such as serving, retrieval, evaluation, monitoring and governance for modern AI applications
Integrate various source systems such as APIs, databases, ERP or CRM systems
Implement technical requirements related to data quality, security, governance and observability
Automate deployments and technical standards with Git, CI/CD and Infrastructure as Code
Advise clients and internal stakeholders on architecture decisions for data platforms and AI solutions
Share knowledge within the team, provide technical guidance and support to less experienced colleagues
Requirements
Several years of experience in Data Engineering, Machine Learning Engineering, AI Engineering or a comparable role
Strong knowledge of Databricks
Strong skills in Python, SQL, Spark and PySpark
Practical experience with at least one cloud platform, ideally Azure or AWS
Experience building and operating modern data platforms in the cloud
Experience with MLflow, Model Serving and Vector Search, ideally within the Databricks ecosystem
Good knowledge of modern AI/LLM architectures, e.g., RAG, retrieval, evaluation, serving and production GenAI applications
Solid understanding of Lakehouse architectures, data modeling and production data pipelines
Experience in Data Governance, Data Quality, Security and Monitoring
Confident use of Git, CI/CD and, ideally, Infrastructure as Code
Degree in Business Informatics, Computer Science, Data Science or a related field
Structured, self-driven and solution-oriented way of working
Tech Stack
AWS
Azure
Cloud
ERP
PySpark
Python
Spark
SQL
Unity
Benefits
High-end technology & real responsibility
Platform & architecture excellence
Scope for creativity & innovation
Expertise meets team spirit
Investment in your future
State-of-the-art equipment
Culture of transparency
Job security & work-life balance
Apply Now
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