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Principal Analytics Engineer(m/w/x)
Evolving analytical model architecture and semantic layers for unified KPIs, leading AI-driven capabilities at a high-growth digital automotive marketplace. 7+ years in advanced Analytics Engineering with extensive AWS (Glue, Athena, S3, MWAA) expertise required. Direct impact on strategic data initiatives and technical direction.
Anforderungen
- 7+ years in advanced Analytics Engineering or Data Engineering roles
- Strong ability to influence technical and business stakeholders
- Proactive, collaborative, and solution-driven mindset
- Demonstrated experience in AI-driven analytics
- Extensive hands-on expertise with AWS (Glue, Athena, S3, MWAA)
- Expert-level Python and PySpark skills
- Expert-level SQL and mastery of dimensional modeling techniques
- Strong understanding of data privacy, security and compliance
- Proven ability to optimise large datasets and troubleshoot complex system behaviours
Aufgaben
- Define and evolve the architecture for analytical models
- Design and maintain advanced semantic layers for unified KPIs
- Set technical direction and align stakeholders on modeling practices
- Lead the implementation of AI-driven analytical capabilities
- Develop modeling patterns and documentation standards
- Partner with teams to deliver high-performance data pipelines
- Optimize AWS cloud-native services for analytical workloads
- Continuously improve modeling patterns and development processes
- Mentor analytics engineers and analysts on modeling skills
- Deliver high-quality semantic assets for self-service analytics
Berufserfahrung
- 7 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- AWS (Glue, Athena, S3, MWAA)
- Python
- PySpark
- SQL
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Principal Analytics Engineer(m/w/x)
Evolving analytical model architecture and semantic layers for unified KPIs, leading AI-driven capabilities at a high-growth digital automotive marketplace. 7+ years in advanced Analytics Engineering with extensive AWS (Glue, Athena, S3, MWAA) expertise required. Direct impact on strategic data initiatives and technical direction.
Anforderungen
- 7+ years in advanced Analytics Engineering or Data Engineering roles
- Strong ability to influence technical and business stakeholders
- Proactive, collaborative, and solution-driven mindset
- Demonstrated experience in AI-driven analytics
- Extensive hands-on expertise with AWS (Glue, Athena, S3, MWAA)
- Expert-level Python and PySpark skills
- Expert-level SQL and mastery of dimensional modeling techniques
- Strong understanding of data privacy, security and compliance
- Proven ability to optimise large datasets and troubleshoot complex system behaviours
Aufgaben
- Define and evolve the architecture for analytical models
- Design and maintain advanced semantic layers for unified KPIs
- Set technical direction and align stakeholders on modeling practices
- Lead the implementation of AI-driven analytical capabilities
- Develop modeling patterns and documentation standards
- Partner with teams to deliver high-performance data pipelines
- Optimize AWS cloud-native services for analytical workloads
- Continuously improve modeling patterns and development processes
- Mentor analytics engineers and analysts on modeling skills
- Deliver high-quality semantic assets for self-service analytics
Berufserfahrung
- 7 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- AWS (Glue, Athena, S3, MWAA)
- Python
- PySpark
- SQL
Über das Unternehmen
AutoScout24
Branche
IT
Beschreibung
The company is a high-growth organization in the digital automotive marketplace.
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