Senior Data Engineer (a) | NWS Management AG

Years of experience in Data Engineering *

Main focus areas (multiple possible) *

Data Engineering / Pipelines
Cloud / Data Platforms
ML / AI
Analytics / BI

Entity resolution / matching (Rate 1-5 | 1 = Basic, 5 = Expert) *

Large datasets (> millions of records) (Rate 1-5 | 1 = Basic, 5 = Expert) *

Embeddings (e.g. NLP, semantic search) (Rate 1-5 | 1 = Basic, 5 = Expert) *

Vector databases (e.g. FAISS, Pinecone, Azure AI Search) (Rate 1-5 | 1 = Basic, 5 = Expert) *

Practical experience *

Used in production
POC / prototype only
No experience

Python (data processing, ETL) (Rate 1-5 | 1 = Basic, 5 = Expert) *

SQL (complex queries, optimization (Rate 1-5 | 1 = Basic, 5 = Expert) *

Performance optimization (Python/SQL) (Rate 1-5 | 1 = Basic, 5 = Expert) *

Distributed frameworks used *

Spark
Flink
Beam
None

Hands-on usage in production *

Yes
POC only
No

Building & operating pipelines (end-to-end) (Rate 1-5 | 1 = Basic, 5 = Expert) *

Data quality (validation/testing) (Rate 1-5 | 1 = Basic, 5 = Expert) *

Data freshness / SLAs (Rate 1-5 | 1 = Basic, 5 = Expert) *

Data lineage & traceability (Rate 1-5 | 1 = Basic, 5 = Expert) *

Monitoring & alerting (Rate 1-5 | 1 = Basic, 5 = Expert) *

Cloud experience *

Azure
AWS
GCP
Limited

Hands-on cloud data platform (production) *

Yes (production)
Partial
Limited
None

Azure (if applicable): Data Lake / Synapse / Databricks (Rate 1-5 | 1 = Basic, 5 = Expert) *

Large-scale pipelines (crawling / parsing) *

None
Initial
Regular
Lead role

Production systems experience *

Yes
Partial
No

B2B / commercial data (Rate 1-5 | 1 = Basic, 5 = Expert) *

Knowledge graphs / graph (Rate 1-5 | 1 = Basic, 5 = Expert) *

Collaboration with ML / Data Science (Rate 1-5 | 1 = Basic, 5 = Expert) *

APIs / data interfaces for AI systems (Rate 1-5 | 1 = Basic, 5 = Expert) *

Short Motivation (1-2 Sentences) *

Earliest possible availability? *

Salary expectations *

Preferred Setup (Remote/hybrid)

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