Qureos Mentor

Collective.work

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 Context
 
 
 
 Collective.work
 
 is building the next-generation AI-powered sourcing platform for recruiters. Our mission is to help talent teams identify, engage, and hire the best candidates faster through intelligent automation and data-driven insights. We operate at the intersection of data, AI, and recruiting workflows&mdash;where high-quality data infrastructure is critical to our success.
 
 
 Missions
 
 
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 Design and maintain scalable data pipelines (batch and real-time)
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 Build and optimize ETL/ELT workflows across Azure and/or GCP
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 Develop data models and architectures to support analytics and ML use cases
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 Ensure data quality, integrity, and reliability across systems
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 Collaborate with ML engineers to prepare and serve training datasets
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 Monitor and improve pipeline performance, cost efficiency, and scalability
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 Implement best practices for data governance, security, and compliance
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 Contribute to tooling and infrastructure decisions
 
 
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 Tools &amp; Environment
 
 
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 Cloud: Azure (Data Factory, Synapse) and/or GCP (BigQuery, Dataflow)
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 Data Processing: Python, SQL, Spark
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 Orchestration: Airflow / Prefect
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 Storage: Data lakes, warehouses
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 Streaming: Kafka / PubSub (nice to have)
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 DevOps: Docker, CI/CD
 
 
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 Working Conditions
 
 
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 Flexible remote work environment
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 Opportunity to work on a product at the cutting edge of AI and recruiting
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 High ownership and impact from day one
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 Collaborative, product-driven engineering culture
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 Opportunity to shape the data foundation of a growing platform
 
 
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Data Engineer - Permanent

Join Collective.work and explore 1   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Collective.work

About Company

Data Engineer - Permanent