Senior Data Engineer - Data Platform

Role:

• Develop and operate a modern data platform built on Databricks.
• Design, optimize, and maintain scalable data pipelines and data products.
• Implement robust data models using Data Vault 2.0 and manage transformations with dbt Core.

Requirements:

• At least 5 years of experience in data engineering.
• Strong hands-on experience with Databricks, SQL, Python, Apache Spark, and PySpark.
• Advanced knowledge of dbt Core, Data Vault 2.0, and Microsoft Azure.

Benefits:

• Worldwide remote working opportunity.
• Contract type: Fixed-term employment contract.
• Opportunity to work with modern technologies and complex data architecture.

Why Apply:

• AI-powered matching ensures fast and fair review.
• Shortlisted candidates are shared directly with the hiring company.
• Collaborative environment with agile project and product teams.