Mimacom AG
Data Engineer(m/w/x)
Full-timeWith HomeofficeSenior
Zürich
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RERepRisk AG
Senior Data Engineer(m/w/x)
Zürich
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
Architecting and building Databricks lakehouse solutions for a DaaS company focused on reputational risks. Proven Dimensional Data Modelling and Data Vault experience essential. Flexible working hours, state-of-the-art open-source technologies.
Requirements
- Bachelor's Degree in computer science or related STEM field
- 5+ years hands-on Data Engineering experience
- Strong Python and SQL proficiency
- Solid Batch and stream processing experience
- Proven Dimensional Data Modelling and Data Vault experience
- Data Orchestration tools experience
- Familiarity with data quality and validation frameworks
- Metadata tools integration experience
- Strong version control (Git) and CI/CD understanding
- Cloud platforms experience (AWS preferred)
- Practical Data Lakehouse concepts and technologies experience
- Proactive mindset, strong ownership, initiative, drive
- Strong communication skills, professional English proficiency
- BPM software workflow configuration delivery
- ML teams experience, ML/DL/NLP concepts familiarity
- Valid work permit
Tasks
- Architect, build, and scale a modern data platform
- Lead design and delivery of enterprise data infrastructure
- Architect Databricks lakehouse solutions
- Implement Databricks lakehouse solutions
- Design, build, and maintain scalable ELT pipelines
- Develop and optimize streaming and batch data pipelines
- Tune data platform performance
- Optimize data platform costs
- Govern cluster and compute resources
- Define and enforce data contracts and schemas
- Define and enforce data governance standards
- Ensure data quality, observability, and lineage
- Collaborate with data scientists and analysts
- Deliver reliable, self-serve data products
- Establish and champion data engineering best practices
- Establish and champion data engineering standards
- Establish and champion reusable frameworks
- Stay current with Databricks ecosystem
- Stay current with lakehouse trends
- Stay current with data engineering patterns
- Participate in code reviews
- Maintain high quality, performance, and security standards
- Engage in Agile/Scrum ceremonies
- Contribute architectural insights
- Provide technical direction to the team
Work Experience
- 5 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- SQL
- AWS Glue
- dbt
- Kafka
- Airflow
- Dagster
- Great Expectations
- SODA
- Collibra
- OpenMetadata
- Git
- CI/CD
- AWS
- Databricks
- Snowflake
- Camunda
Benefits
Flexible Working
- Flexible working hours
Learning & Development
- Skill development
Other Benefits
- Team support
Startup Environment
- Agile development ecosystem
Modern Equipment
- State-of-the-art open-source technologies
Informal Culture
- Entrepreneurial, international, and dynamic work environment
- Diverse company culture
Purpose-Driven Work
- Shared mission
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of RepRisk AG and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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RERepRisk AG
Senior Data Engineer(m/w/x)
Zürich
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
Architecting and building Databricks lakehouse solutions for a DaaS company focused on reputational risks. Proven Dimensional Data Modelling and Data Vault experience essential. Flexible working hours, state-of-the-art open-source technologies.
Requirements
- Bachelor's Degree in computer science or related STEM field
- 5+ years hands-on Data Engineering experience
- Strong Python and SQL proficiency
- Solid Batch and stream processing experience
- Proven Dimensional Data Modelling and Data Vault experience
- Data Orchestration tools experience
- Familiarity with data quality and validation frameworks
- Metadata tools integration experience
- Strong version control (Git) and CI/CD understanding
- Cloud platforms experience (AWS preferred)
- Practical Data Lakehouse concepts and technologies experience
- Proactive mindset, strong ownership, initiative, drive
- Strong communication skills, professional English proficiency
- BPM software workflow configuration delivery
- ML teams experience, ML/DL/NLP concepts familiarity
- Valid work permit
Tasks
- Architect, build, and scale a modern data platform
- Lead design and delivery of enterprise data infrastructure
- Architect Databricks lakehouse solutions
- Implement Databricks lakehouse solutions
- Design, build, and maintain scalable ELT pipelines
- Develop and optimize streaming and batch data pipelines
- Tune data platform performance
- Optimize data platform costs
- Govern cluster and compute resources
- Define and enforce data contracts and schemas
- Define and enforce data governance standards
- Ensure data quality, observability, and lineage
- Collaborate with data scientists and analysts
- Deliver reliable, self-serve data products
- Establish and champion data engineering best practices
- Establish and champion data engineering standards
- Establish and champion reusable frameworks
- Stay current with Databricks ecosystem
- Stay current with lakehouse trends
- Stay current with data engineering patterns
- Participate in code reviews
- Maintain high quality, performance, and security standards
- Engage in Agile/Scrum ceremonies
- Contribute architectural insights
- Provide technical direction to the team
Work Experience
- 5 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- SQL
- AWS Glue
- dbt
- Kafka
- Airflow
- Dagster
- Great Expectations
- SODA
- Collibra
- OpenMetadata
- Git
- CI/CD
- AWS
- Databricks
- Snowflake
- Camunda
Benefits
Flexible Working
- Flexible working hours
Learning & Development
- Skill development
Other Benefits
- Team support
Startup Environment
- Agile development ecosystem
Modern Equipment
- State-of-the-art open-source technologies
Informal Culture
- Entrepreneurial, international, and dynamic work environment
- Diverse company culture
Purpose-Driven Work
- Shared mission
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of RepRisk AG and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
RepRisk AG
Industry
IT
Description
RepRisk is the world’s most respected Data as a Service (DaaS) company for reputational risks and responsible business conduct.
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