DATAPAO

Data Engineer

• Deliver complex data engineering projects across industries, individually or by leading small delivery teams
• Work on fast-paced projects typically lasting 2 to 4 months
• Use Apache Spark and Databricks on AWS or Azure
• Directly manage customer relationships independently or with a Project Manager
• Support the pre-sales process
• Mentor more junior engineers
• Contribute to hiring best-in-class data talent
• Solve data engineering, machine learning, MLOps, and cloud migration challenges for EMEA and US customers
• Design data architectures and guide customers in adopting new technologies

Explore Senior Data Engineer – Databricks at DATAPAO. Review requirements and application details.

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Senior Data Engineer – Databricks