Not specified; discretionary bonus based on perfor...
On-site
Sql engineering at scale
Python for production pipelines
Data modeling trade-offs
The role involves delivering data work on client engagements including pipelines, transformation layers, models, and the surrounding infrastructure
Job Summary
The role involves delivering data work on client engagements including pipelines, transformation layers, models, and the surrounding infrastructure.
Candidates must be proficient in crafting scalable, resilient, and fault-tolerant architectures while adapting to diverse client contexts.
Benefits include company private health care, enhanced maternity and paternity leave up to 6 months, and an annual allowance of €2000 for training and conferences.
Matching Summary
The role involves delivering data work on client engagements including pipelines, transformation layers, models, and the surrounding infrastructure.
Salary
Not specified; Discretionary Bonus based on performance; Annual allowances: €2000 Training, €300 Hardware
Skills & Requirements
Must-have
SQL engineering at scale
Python for production pipelines
Data modeling trade-offs
Transformation architecture design
Pipeline design batch streaming
Data testing as code
Data observability practices
CI/CD for data systems
Data governance implementation
Cost-conscious optimization
Modern platform fluency
Nice-to-have
Active learner with curiosity
Community writing and speaking
Cross-functional communication skills
Mentoring junior engineers
Contributing to sales proposals
Comfortable with ambiguity
Diversity equity inclusion commitment
Key Requirements
Senior level experience in data engineering
Proven track record building production data systems
Experience with legacy warehouse migrations or greenfield lakehouses
Ability to define and evolve internal data standards
Strong background in SQL performance and query planning