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Senior Staff Data Engineer(m/w/x)
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.
Anforderungen
- 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
Aufgaben
- 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
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- AWS
- Azure
- GCP
- Python
- Bash
- Apache Airflow
- dbt
- Apache Spark
- Kafka
- Flink
- Snowflake
- BigQuery
- Redshift
- Jira
- Confluence
Benefits
Lockere Unternehmenskultur
- Diverse and international team
- Open communication
Karriere- und Weiterentwicklung
- Regular feedback
Flexibles Arbeiten
- Hybrid work schedule
- Flexible working hours
Attraktive Vergütung
- Virtual Shares
Team Events & Ausflüge
- Regular in-person team events
- Monthly full-day hacking sessions
Mehr Urlaubstage
- 30 days of annual leave
Mentale Gesundheitsförderung
- Mental health resources
Noch nicht perfekt?
- FriendsuranceVollzeitmit HomeofficeSeniorBerlin
- Axel Springer SE
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Senior Staff Data Engineer(m/w/x)
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.
Anforderungen
- 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
Aufgaben
- 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
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- AWS
- Azure
- GCP
- Python
- Bash
- Apache Airflow
- dbt
- Apache Spark
- Kafka
- Flink
- Snowflake
- BigQuery
- Redshift
- Jira
- Confluence
Benefits
Lockere Unternehmenskultur
- Diverse and international team
- Open communication
Karriere- und Weiterentwicklung
- Regular feedback
Flexibles Arbeiten
- Hybrid work schedule
- Flexible working hours
Attraktive Vergütung
- Virtual Shares
Team Events & Ausflüge
- Regular in-person team events
- Monthly full-day hacking sessions
Mehr Urlaubstage
- 30 days of annual leave
Mentale Gesundheitsförderung
- Mental health resources
Über das Unternehmen
DeepL
Branche
IT
Beschreibung
DeepL is a global communications platform powered by Language AI, focused on breaking down language barriers and improving communication.
Noch nicht perfekt?
- Friendsurance
Senior Data Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - Axel Springer SE
Staff Software Engineer Data(m/w/x)
Vollzeit/Teilzeitmit HomeofficeSeniorBerlin - Arsipa GmbH
Senior Data Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - Lovehoney Group
Senior Data Engineer - Warehouse(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - Simon-Kucher
Senior Manager – Data Engineering(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin, Bonn, Köln, Frankfurt am Main, Hamburg, München