Databricks Data Engineer

TL;DR

Databricks Data Engineer: Building and optimizing data pipelines and transformations using Spark with an accent on data modeling, governance, and cloud integration. Focus on orchestrating complex workflows and ensuring high data quality within data lakes and warehouses.

Location: Amsterdam, Netherlands

Salary: €47,000–€72,000

What you will do

• Build and optimize data transformations using Spark.
• Design and maintain scalable data models for warehouses.
• Develop and manage robust data pipelines.
• Implement data quality checks and governance best practices.
• Integrate Databricks with cloud storage and compute resources.
• Orchestrate data workflows using Databricks Workflows.

Requirements

• Proven experience in data engineering with Databricks.
• Proficiency in Python, SQL, and Scala.
• Strong understanding of ETL processes and data warehousing concepts.
• Experience with cloud storage solutions like Amazon S3 or Azure Data Lake.
• Ability to collaborate effectively with stakeholders on data requirements.

Culture & Benefits

• Structured career development plan.
• Access to training and professional certifications.
• Regular knowledge sharing sessions and internal community events.
• Work from Europe up to 4 weeks per year.