Senior Data Engineer (Databricks) (Fully Remote)

Datapao; United States; Remote; USD 94,000 - 148,000; Full time

Benefits offered by this job

Remote UK

Databricks training

Flexible PTO

Job summary

Datapao is seeking a senior data engineer to deliver data engineering projects using Databricks on AWS/Azure. You will lead small delivery teams, manage client relationships, and mentor junior engineers while contributing to hiring.

This fully remote UK role offers flexible PTO and Databricks training benefits through our EOR provider. Ideal candidates have 5+ years in data engineering with cloud platforms and strong ETL/ELT and pipeline orchestration skills.

Qualifications

• 5+ years in data engineering with cloud platforms (AWS, Azure, GCP).
• Strong ETL/ELT and pipeline orchestration skills.

Responsibilities

• Deliver data engineering projects using Databricks on AWS/Azure.
• Lead small delivery teams and manage client relationships.
• Support pre-sales, mentor junior engineers, and contribute to hiring.

Skills

Data engineering

Cloud platforms

Tools

Databricks

Apache Spark

Airflow

Job description

• Deliver data engineering projects using Databricks on AWS/Azure.
• Lead small delivery teams and manage client relationships.
• Support pre-sales, mentor junior engineers, and contribute to hiring.

Requirements:

• 5+ years in data engineering with cloud platforms (AWS, Azure, GCP).
• Strong ETL/ELT and pipeline orchestration skills.

Offer:

• Fully remote setup in the UK with flexible PTO.
• Educational benefits including Databricks courses and certifications.
• Competitive salary and comprehensive benefits via EOR provider.

Datapao

Datapao is a data engineering and cloud migration consulting company that helps clients solve complex data puzzles using technologies like Apache Spark and Databricks. They are a rapidly growing tech company with a high-transparency culture, emphasizing open feedback and no politics.