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Senior Data Engineer (Databricks)

Skills
Cloud ComputingSQLSoftware DevelopmentApache SparkArtificial IntelligenceAzure DatabricksBig Data
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • 5+ years of data engineering experience with cloud platforms
  • Proven Databricks experience including PySpark SQL Delta Lake and Unity Catalog
  • Strong ETL/ELT development and data pipeline orchestration experience
  • Proficiency in SQL and Python for data transformation and optimization
  • Hands-on CI/CD and Infrastructure as Code experience
  • Experience integrating Databricks with BI tools
  • Consulting and client-facing experience with solution design and stakeholder communication
  • Experience delivering data lakehouse buildouts or cloud data migrations

Nice to have

  • Customer-facing
  • Consultative mindset
  • Flexible
  • Resilient
  • Problem-solver
  • Clear communicator

Day to day

  • Deliver complex data engineering projects across multiple industries, either individually or by leading small delivery teams
  • Work directly with customers on fast-paced 2 to 4 month engagements, solving data engineering, ML, MLOps, and cloud migration challenges
  • Support pre-sales activities, mentor junior engineers, and contribute to hiring while helping shape the team and organization

Hiring process

  • Submit your application
  • Interview process with selection discussions