Building data pipelines on Snowflake with dbt for a global investment firm. SQL expertise and Data Vault modeling knowledge required. Free lunch and latest technology provided.
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Anforderungen
- Bachelor's or master's degree in computer science, engineering, information systems, or related discipline
- Proven experience as data engineer, analytics engineer, or similar role
- SQL expert for complex data landscapes, creating efficient, maintainable data flows
- Deep understanding of data historization principles and pitfalls
- Good knowledge of Data Vault and dimensional modelling principles
- Good knowledge of enterprise data warehousing concepts
- Thorough experience with dbt model development and testing
- Thorough experience with dbt CI, custom materializations and macros
- Hands-on project experience with pandas and data frame processing
- Snowpark expertise in building scalable data transformations and analytical workflows
- Experience with modern cloud-based data platform architectures
- Familiarity with git-based development workflows
- Familiarity with modern data engineering practices, including CI/CD
- Familiarity with automated data testing
- Practical software development and architecture in C# or Rust is a plus
- Experience in data quality management
- Experience in data governance
- Experience in metadata management
- Strong analytical thinking and problem-solving abilities
- Good communication skills
- Ability to work effectively with technical and business stakeholders
- Affinity for Artificial Intelligence (AI)
- Willingness to embrace AI-enabled tools and ways of working
- Talented people, not just a CV that ticks all the boxes
- Encouraged to apply even if not all requirements are met
Aufgaben
- Design, build, and maintain data pipelines on Snowflake using dbt
- Develop and enhance Data Vault models
- Create reusable business objects and data products
- Integrate data from source systems into a centralized data platform
- Apply metadata-driven development principles
- Collaborate with analysts, architects, and data consumers to understand requirements
- Ensure data quality, traceability, lineage, and governance
- Optimize data models and transformations for performance, maintainability, and cost efficiency
- Contribute to CI/CD pipelines, automated testing, and DataOps practices
- Participate in the continuous improvement of data engineering standards, frameworks, and methodologies
- Define patterns and best practices for the data platform
- Share knowledge and raise the efficiency of other team members
Berufserfahrung
Ausbildung
Sprachen
Tools & Technologien
Benefits
- Collaboration spaces
- Open-office space
- Free lunch
- Friendly, diverse team
- Flat hierarchy
- Campus feeling
- Collaborative spirit
- Latest technology
- Agile environment
Von Nejo automatisch aufbereitet
Nejo hat diesen Job automatisch von der Website des Unternehmens BVZH Bank Vontobel AG 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.
Zur Originalanzeige bei BVZH Bank Vontobel AGÜber das Unternehmen
The company is a family-owned and publicly listed firm committed to long-term thinking and sustainability.
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