Hybrid Senior Data Engineer

Posted 5 hours ago

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About the role

  • Senior Data Engineer at Verity designing and evolving data architectures. Building scalable pipelines and implementing data engineering best practices in cloud environments.

Responsibilities

  • Will be responsible for designing and evolving data architectures
  • Building scalable pipelines
  • Implementing engineering best practices in cloud environments
  • Playing a key role in evolving the data architecture and defining technical standards
  • Designing and evolving scalable data architectures in cloud environments
  • Developing robust pipelines for data ingestion, transformation, and delivery
  • Defining data engineering and data quality best practices
  • Structuring analytical datasets to support analytics and machine learning initiatives
  • Optimizing performance and governance of data environments
  • Supporting analytics teams in structuring datasets and pipelines
  • Contributing to continuous improvements in architecture and engineering processes

Requirements

  • Strong experience in data engineering
  • Experience with Python and advanced SQL
  • Experience with BigQuery or modern data warehouses
  • Experience with cloud environments (preferably GCP)
  • Experience building pipelines and modeling analytical data
  • Experience with layered data architectures (Medallion / Lakehouse)
  • Nice-to-have: Experience with Vertex AI or advanced data platforms
  • Experience with DataOps / MLOps
  • Experience with large-scale analytical environments
  • Experience supporting machine learning initiatives

Benefits

  • Meal allowance
  • Food allowance
  • Home office allowance
  • Health insurance
  • Dental insurance
  • Life insurance
  • Employee discount partnerships
  • Agreements with businesses and educational institutions
  • Recurring Agile training sessions

Job title

Senior Data Engineer

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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