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Senior Analytics Engineer(m/w/x)
Building scalable data models and analytics architectures for DAX/Fortune 500 clients. Extensive dbt experience and dimensional data modelling required. Hybrid work, flexible hours.
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Anforderungen
- Several years of hands-on experience in Analytics Engineering and data modelling on modern cloud data platforms
- Translate business requirements into sustainable analytical data models
- Extensive experience working with dbt (dbt Core and/or dbt Cloud)
- Designed, implemented and developed analytics engineering solutions
- Strong command of dimensional data modelling (Kimball Star Schema, Snowflake Schema)
- Solid experience designing and implementing modern ELT and data transformation architectures
- Excellent SQL skills
- Comfortable using Python for automation, data analysis and development
- Practical experience with modern cloud data platforms (Snowflake, Databricks, BigQuery, Redshift)
- Familiar with modern lakehouse architectures and table formats (Delta Lake, Apache Iceberg)
- Understanding of Data Quality, Data Testing, Data Lineage and Data Governance
- Experience with Great Expectations, data catalogues or similar tools is an advantage
- Experience with Data Vault 2.0 is considered a plus
- Experience with Semantic Layers or modern BI architectures is considered a plus
- Ownership of technical solution designs
- Advise clients as a trusted technical partner
- Support colleagues as a mentor and technical sparring partner
- Communicate complex technical concepts clearly and effectively
- Willingness to travel occasionally
Aufgaben
- Design and deliver modern analytics solutions
- Develop scalable data models and analytics architectures
- Design, develop, and own analytical data models
- Ensure high quality, performance, and maintainability of data models
- Build robust data transformation pipelines using dbt
- Establish best practices for testing, documentation, version control, and deployment
- Design scalable analytical data models using Kimball, Snowflake Schema, and Data Vault 2.0
- Integrate diverse data sources into a consistent analytics landscape
- Establish and drive best practices for Data Quality, Data Testing, Data Lineage, and Data Governance
- Contribute to the development of modern analytics standards
- Optimize data models and query performance on cloud data platforms
- Leverage lakehouse architectures and technologies like Delta Lake and Apache Iceberg
- Collaborate with business stakeholders, Data Analysts, Data Scientists, and Data Engineers
- Translate complex business requirements into scalable analytics solutions
- Take technical ownership of workstreams or project modules
- Act as a technical mentor and sparring partner for colleagues
- Advise clients as a trusted partner
- Facilitate workshops
- Present technical solutions in a clear and business-oriented way
Berufserfahrung
Ausbildung
Sprachen
Tools & Technologien
Benefits
- Above-average remuneration
- Hybrid working models
- Flexible working hours
- Work from home option
- Open, collaborative culture
- Flat hierarchies
- International team
- Knowledge sharing
- Tailored learning opportunities
- Professional development support
- Individualized career paths
- Personal development support
- International company events
- After-work beer
- Sabbatical option
- Company Bike program
- Subsidized Wellpass membership
- Modern offices
- Complimentary drinks
- Fresh fruit
- Snacks
- Premium coffee
Von Nejo automatisch aufbereitet
Nejo hat diesen Job automatisch von der Website des Unternehmens Eraneos Germany GmbH erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
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