We are working with a leading European provider of digital and cloud-based solutions for professional workplaces across various industries. This organization helps businesses and individuals navigate complex regulations, manage critical information, and enhance their digital capabilities.
The Role
- Design and implement robust, cloud-native Snowflake solutions at an enterprise level.
- Provide significant architectural leadership and act as a technical counterpart to Data Architects.
- Work extensively with Snowflake, AWS, dbt, and other modern data tools.
- Manage Snowflake Platform Engineering, including account setup, warehouse management, and performance optimization.
- Implement Cloud Integration & Data Pipelines using ELT platforms like Fivetran/dbt, Snowpipe, AWS S3/Stages.
- Establish Governance with DQ-Tests (dbt), Tagging/Masking Policies, and Data Contracts.
- Enable self-service capabilities through Analytics Engineering Patterns and Data Products.
What You'll Need
- Bachelor's degree in Data Science, Computer Science, Engineering, or a related field.
- Minimum of 4 years of experience as a Data Engineer with a focus on cloud data architectures.
- Excellent German language skills and fluent English (C1) in both written and spoken communication.
- Strong expertise in Snowflake-AWS integration, including architecture, RBAC, performance tuning, S3, and IAM.
- Proficiency in data ingestion using ELT platforms (e.g., Fivetran, Stitch, Snowpipe).
- Advanced skills in SQL & data modeling, including dbt, dimensional modeling, and Data Vault.
- Solid programming experience with Python for data processing and automation.
- Understanding of DataOps principles, Analytics Engineering, Data Mesh, and Self-Service Principles.
What's On Offer
- Opportunity to be part of a national and international network of data professionals.
- Continuous professional development through an internal academy.
- A culture that values freedom, responsibility, and drives innovation.
- An inclusive work environment that promotes diversity and equal opportunities.
Apply via Haystack today!
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