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Senior Analytics Engineer(m/w/x)
Building foundational data models and scalable data architecture in on-prem/cloud for a global Language AI platform, integrating new data sources via DataOps. 5+ years in data/analytics engineering with data model design and cloud data warehouse expertise required. Hybrid work, flexible hours.
Anforderungen
- 5+ years in data or analytics engineering roles
- Expertise in designing and implementing data models
- Advanced proficiency in SQL
- Experience in data manipulation with Python
- Hands-on experience with cloud data warehouses
- Experience with data orchestration and transformation tools
- Understanding of best practices for querying OLAP databases
- Ability to work with business stakeholders
- Experience diagnosing and resolving data issues
- Excellent problem-solving abilities
Aufgaben
- Build and maintain data pipelines
- Create foundational data models in the data warehouse
- Integrate new data sources using DataOps best practices
- Support data specialists in optimizing queries and tables
- Design and implement scalable data architecture in on-prem and cloud environments
- Develop and optimize data models for analytics and reporting
- Monitor and enhance data system performance
- Ensure data quality, consistency, and integrity
- Apply data governance frameworks and champion data contracts
- Maintain comprehensive documentation and promote best practices
- Guide and mentor junior team members
Berufserfahrung
- 5 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- SQL
- Python
- Snowflake
- Databricks
- BigQuery
- Clickhouse
- dbt
- Airflow
Benefits
Flexibles Arbeiten
- Hybrid work schedule
- Flexible working hours
Lockere Unternehmenskultur
- Diverse and internationally distributed team
- Open communication
Karriere- und Weiterentwicklung
- Regular feedback
Team Events & Ausflüge
- Regular in-person team events
- Monthly full-day hacking sessions
Mehr Urlaubstage
- 30 days of annual leave
Sonstige Vorteile
- Competitive benefits
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Senior Analytics Engineer(m/w/x)
Building foundational data models and scalable data architecture in on-prem/cloud for a global Language AI platform, integrating new data sources via DataOps. 5+ years in data/analytics engineering with data model design and cloud data warehouse expertise required. Hybrid work, flexible hours.
Anforderungen
- 5+ years in data or analytics engineering roles
- Expertise in designing and implementing data models
- Advanced proficiency in SQL
- Experience in data manipulation with Python
- Hands-on experience with cloud data warehouses
- Experience with data orchestration and transformation tools
- Understanding of best practices for querying OLAP databases
- Ability to work with business stakeholders
- Experience diagnosing and resolving data issues
- Excellent problem-solving abilities
Aufgaben
- Build and maintain data pipelines
- Create foundational data models in the data warehouse
- Integrate new data sources using DataOps best practices
- Support data specialists in optimizing queries and tables
- Design and implement scalable data architecture in on-prem and cloud environments
- Develop and optimize data models for analytics and reporting
- Monitor and enhance data system performance
- Ensure data quality, consistency, and integrity
- Apply data governance frameworks and champion data contracts
- Maintain comprehensive documentation and promote best practices
- Guide and mentor junior team members
Berufserfahrung
- 5 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- SQL
- Python
- Snowflake
- Databricks
- BigQuery
- Clickhouse
- dbt
- Airflow
Benefits
Flexibles Arbeiten
- Hybrid work schedule
- Flexible working hours
Lockere Unternehmenskultur
- Diverse and internationally distributed team
- Open communication
Karriere- und Weiterentwicklung
- Regular feedback
Team Events & Ausflüge
- Regular in-person team events
- Monthly full-day hacking sessions
Mehr Urlaubstage
- 30 days of annual leave
Sonstige Vorteile
- Competitive benefits
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?
- Maniko Nails GmbH
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(Senior) Analytics Engineer - Marketing(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenBerlin - 4flow SE
Senior Data Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - Arsipa GmbH
Senior Data Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - Friendsurance
Senior Data Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin