Friendsurance
Senior Data Engineer(m/w/x)
Full-timeWith HomeofficeSenior
Berlin
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DEDeepL
Senior Staff Data Engineer(m/w/x)
Berlin
Full-timeWith Home OfficeSenior
Data Science
Nejo AI Summary
Shaping enterprise data strategy and architecture for a global Language AI communications platform. 10+ years experience and technical leadership required. Hybrid work schedule, flexible working hours.
Requirements
- 10+ years data engineering experience
- Understanding of data infrastructure and orchestration
- Experience with AWS, Azure, or GCP
- Advanced Python or Bash scripting skills
- Technical leadership and mentoring experience
- Experience in SaaS or distributed systems
- Experience with Airflow, dbt, or Spark
- Experience with real-time streaming pipelines
- Knowledge of Snowflake, BigQuery, or Redshift
- Background in data or analytics engineering
- Familiarity with MLOps and ML infrastructure
- Experience with security and compliance frameworks
- Experience with Jira and Confluence
- Open-source contributions or community involvement
- Experience with cloud cost optimization strategies
Tasks
- Define enterprise-wide data engineering standards and strategies
- Implement best practices for data solutions
- Provide expert guidance on AWS and architectural decisions
- Drive efficiency, cost reduction, and innovation across data
- Evaluate and recommend tools to enhance data capabilities
- Influence leaders across engineering and machine learning teams
- Mentor teams to foster a culture of technical excellence
- Translate stakeholder requirements into technical solutions
- Collaborate with customer-facing teams on client needs
- Drive data security, governance, and compliance standards
- Implement security measures for data at rest and in transit
- Document data processes and systems architecture
- Maintain compliance with GDPR and SOC 2 requirements
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- AWS
- Azure
- GCP
- Python
- Bash
- Apache Airflow
- dbt
- Apache Spark
- Kafka
- Flink
- Snowflake
- BigQuery
- Redshift
- Jira
- Confluence
Benefits
Informal Culture
- Diverse and international team
- Open communication
Career Advancement
- Regular feedback
Flexible Working
- Hybrid work schedule
- Flexible working hours
Competitive Pay
- Virtual Shares
Team Events
- Regular in-person team events
- Monthly full-day hacking sessions
More Vacation Days
- 30 days of annual leave
Mental Health Support
- Mental health resources
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of DeepL 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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DEDeepL
Senior Staff Data Engineer(m/w/x)
Berlin
Full-timeWith Home OfficeSenior
Data Science
Nejo AI Summary
Shaping enterprise data strategy and architecture for a global Language AI communications platform. 10+ years experience and technical leadership required. Hybrid work schedule, flexible working hours.
Requirements
- 10+ years data engineering experience
- Understanding of data infrastructure and orchestration
- Experience with AWS, Azure, or GCP
- Advanced Python or Bash scripting skills
- Technical leadership and mentoring experience
- Experience in SaaS or distributed systems
- Experience with Airflow, dbt, or Spark
- Experience with real-time streaming pipelines
- Knowledge of Snowflake, BigQuery, or Redshift
- Background in data or analytics engineering
- Familiarity with MLOps and ML infrastructure
- Experience with security and compliance frameworks
- Experience with Jira and Confluence
- Open-source contributions or community involvement
- Experience with cloud cost optimization strategies
Tasks
- Define enterprise-wide data engineering standards and strategies
- Implement best practices for data solutions
- Provide expert guidance on AWS and architectural decisions
- Drive efficiency, cost reduction, and innovation across data
- Evaluate and recommend tools to enhance data capabilities
- Influence leaders across engineering and machine learning teams
- Mentor teams to foster a culture of technical excellence
- Translate stakeholder requirements into technical solutions
- Collaborate with customer-facing teams on client needs
- Drive data security, governance, and compliance standards
- Implement security measures for data at rest and in transit
- Document data processes and systems architecture
- Maintain compliance with GDPR and SOC 2 requirements
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- AWS
- Azure
- GCP
- Python
- Bash
- Apache Airflow
- dbt
- Apache Spark
- Kafka
- Flink
- Snowflake
- BigQuery
- Redshift
- Jira
- Confluence
Benefits
Informal Culture
- Diverse and international team
- Open communication
Career Advancement
- Regular feedback
Flexible Working
- Hybrid work schedule
- Flexible working hours
Competitive Pay
- Virtual Shares
Team Events
- Regular in-person team events
- Monthly full-day hacking sessions
More Vacation Days
- 30 days of annual leave
Mental Health Support
- Mental health resources
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of DeepL 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
DeepL
Industry
IT
Description
DeepL is a global communications platform powered by Language AI, focused on breaking down language barriers and improving communication.
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