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Data Platform Engineer (Mid-Level)(m/w/x)
Building scalable data infrastructure on AWS and Kubernetes with Kafka and Snowflake. 3+ years hands-on streaming and data warehousing experience required. Work from Anywhere up to 60 days/year.
Requirements
- 3+ years building/operating data infrastructure/platforms
- Hands-on streaming technologies (Kafka) and data warehouses (Snowflake)
- Infrastructure as Code tools (Terraform) and CI/CD pipelines (GitLab)
- Cloud platforms (AWS) and container platforms (Kubernetes)
- Monitoring and observability tools (Datadog)
- Solid Python programming skills
- Interest in writing clean, maintainable code
- Strong collaboration and communication skills
- Fluent English
- Advanced SQL or data transformation tools (dbt)
- Data processing frameworks (PySpark)
- Knowledge of security and networking concepts
- Impactful skills and experiences encouraged even if not 100% met
Tasks
- Design, build, and maintain scalable data infrastructure on AWS and Kubernetes
- Develop and operate streaming and data platform components with Kafka and Snowflake
- Implement monitoring and alerting for platform reliability
- Develop operational tooling for platform performance
- Own features from development through maintenance
- Build and maintain Infrastructure as Code with Terraform and GitLab CI/CD
- Collaborate with data analysts, data scientists, and stakeholders
- Support data platform use cases
- Improve platform reliability and automation
- Contribute to engineering practices
- Participate in on-call rotations for data platform stability
Work Experience
- 3 years
Education
- Vocational certificationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Kafka
- Snowflake
- Terraform
- GitLab
- AWS
- Kubernetes
- Datadog
- Python
- SQL
- dbt
- PySpark
Benefits
Additional Allowances
- 12 free Flix vouchers
Corporate Discounts
- 12 discount vouchers for friends & family
Flexible Working
- Work from Anywhere (up to 60 days/year)
- Hybrid work model
Mental Health Support
- Wellbeing support (1:1 counselling, courses, stress management)
Learning & Development
- Learning & Development (language classes, training, expert sessions)
Mentorship & Coaching
- Mentoring Program
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Data Platform Engineer (Mid-Level)(m/w/x)
Building scalable data infrastructure on AWS and Kubernetes with Kafka and Snowflake. 3+ years hands-on streaming and data warehousing experience required. Work from Anywhere up to 60 days/year.
Requirements
- 3+ years building/operating data infrastructure/platforms
- Hands-on streaming technologies (Kafka) and data warehouses (Snowflake)
- Infrastructure as Code tools (Terraform) and CI/CD pipelines (GitLab)
- Cloud platforms (AWS) and container platforms (Kubernetes)
- Monitoring and observability tools (Datadog)
- Solid Python programming skills
- Interest in writing clean, maintainable code
- Strong collaboration and communication skills
- Fluent English
- Advanced SQL or data transformation tools (dbt)
- Data processing frameworks (PySpark)
- Knowledge of security and networking concepts
- Impactful skills and experiences encouraged even if not 100% met
Tasks
- Design, build, and maintain scalable data infrastructure on AWS and Kubernetes
- Develop and operate streaming and data platform components with Kafka and Snowflake
- Implement monitoring and alerting for platform reliability
- Develop operational tooling for platform performance
- Own features from development through maintenance
- Build and maintain Infrastructure as Code with Terraform and GitLab CI/CD
- Collaborate with data analysts, data scientists, and stakeholders
- Support data platform use cases
- Improve platform reliability and automation
- Contribute to engineering practices
- Participate in on-call rotations for data platform stability
Work Experience
- 3 years
Education
- Vocational certificationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Kafka
- Snowflake
- Terraform
- GitLab
- AWS
- Kubernetes
- Datadog
- Python
- SQL
- dbt
- PySpark
Benefits
Additional Allowances
- 12 free Flix vouchers
Corporate Discounts
- 12 discount vouchers for friends & family
Flexible Working
- Work from Anywhere (up to 60 days/year)
- Hybrid work model
Mental Health Support
- Wellbeing support (1:1 counselling, courses, stress management)
Learning & Development
- Learning & Development (language classes, training, expert sessions)
Mentorship & Coaching
- Mentoring Program
About the Company
Flix
Industry
IT
Description
Das Unternehmen konzentriert sich darauf, Reisen einfach, sicher und erschwinglich zu gestalten.
Not a perfect match?
- DWS International GmbH
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