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Senior Databricks Data Engineer(m/w/x)
Data pipeline design and optimization for major enterprise clients, building batch and streaming workflows on cloud platforms. Deep hands-on Databricks experience with Spark and Delta Lake required. Flexible work location options.
Requirements
- Deep hands-on experience with Databricks
- Experience with Azure, AWS, or GCP
- Experience with Spark (PySpark/Scala)
- Experience with Delta Lake and MLflow
- Strong programming skills in Python or Scala
- Experience with CI/CD pipelines
- Familiarity with GitHub Actions and Azure DevOps
- Solid understanding of distributed computing
- Data modeling and performance tuning skills
- Experience in cloud-native environments
- Familiarity with orchestration tools
- Experience with Databricks Workflows and Airflow
- Familiarity with infrastructure-as-code
- Experience with Terraform
- Proactive mindset and strong communication skills
- Passion for building scalable data systems
- Professional communications skills in German & English
Tasks
- Design and maintain scalable data pipelines.
- Develop batch and streaming data workflows.
- Collaborate with stakeholders to define data solutions.
- Optimize performance and cost of Databricks jobs.
- Establish best practices for data quality and security.
- Mentor junior engineers in Databricks expertise.
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- German – Business Fluent
- English – Business Fluent
Tools & Technologies
- Databricks
- Azure
- AWS
- GCP
- Spark
- PySpark
- Scala
- Delta Lake
- MLflow
- CI/CD pipelines
- GitHub Actions
- Azure DevOps
- Airflow
- Terraform
Benefits
Career Advancement
- Career acceleration opportunity
- Annual performance review
Purpose-Driven Work
- Impactful project contributions
Flexible Working
- Flexible work location options
Mentorship & Coaching
- Individual development plan
Learning & Development
- Paid educational resources
Team Events
- Team events and networking
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Senior Databricks Data Engineer(m/w/x)
Data pipeline design and optimization for major enterprise clients, building batch and streaming workflows on cloud platforms. Deep hands-on Databricks experience with Spark and Delta Lake required. Flexible work location options.
Requirements
- Deep hands-on experience with Databricks
- Experience with Azure, AWS, or GCP
- Experience with Spark (PySpark/Scala)
- Experience with Delta Lake and MLflow
- Strong programming skills in Python or Scala
- Experience with CI/CD pipelines
- Familiarity with GitHub Actions and Azure DevOps
- Solid understanding of distributed computing
- Data modeling and performance tuning skills
- Experience in cloud-native environments
- Familiarity with orchestration tools
- Experience with Databricks Workflows and Airflow
- Familiarity with infrastructure-as-code
- Experience with Terraform
- Proactive mindset and strong communication skills
- Passion for building scalable data systems
- Professional communications skills in German & English
Tasks
- Design and maintain scalable data pipelines.
- Develop batch and streaming data workflows.
- Collaborate with stakeholders to define data solutions.
- Optimize performance and cost of Databricks jobs.
- Establish best practices for data quality and security.
- Mentor junior engineers in Databricks expertise.
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- German – Business Fluent
- English – Business Fluent
Tools & Technologies
- Databricks
- Azure
- AWS
- GCP
- Spark
- PySpark
- Scala
- Delta Lake
- MLflow
- CI/CD pipelines
- GitHub Actions
- Azure DevOps
- Airflow
- Terraform
Benefits
Career Advancement
- Career acceleration opportunity
- Annual performance review
Purpose-Driven Work
- Impactful project contributions
Flexible Working
- Flexible work location options
Mentorship & Coaching
- Individual development plan
Learning & Development
- Paid educational resources
Team Events
- Team events and networking
About the Company
Ultra Tendency
Industry
IT
Description
Ultra Tendency is an international premier Data Engineering consultancy for Big Data, Cloud, Streaming, IIoT and Microservices.
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