Data Engineer (Databricks/PySpark)

Location: Europe

Company

Join hirify.global, a global IT consulting company delivering software development and IT consulting services to clients worldwide. The customer is an AdTech and data analytics company building cloud-based, high-load platforms for large-scale marketing and advertising data processing.

What you will do

• Develop and maintain batch and near real-time data pipelines for large data volumes.
• Transform, validate, optimize, and monitor data using Databricks, PySpark, and SQL.
• Support scalable Data Lakehouse solutions based on modern engineering standards.
• Build, test, and automate ETL processes and data workflows.
• Improve data quality, organization, and reliability across platforms.
• Collaborate with engineers, analysts, and stakeholders to troubleshoot issues and deliver scalable solutions.

Requirements

• 2+ years of experience in Big Data development and database design.
• Strong hands-on SQL and Python development skills.
• Hands-on experience with PySpark.
• Experience developing and maintaining Databricks data pipelines.
• Experience with Delta Lake and Medallion Architecture, including Bronze, Silver, and Gold layers.
• Strong analytical and problem-solving skills.
• Intermediate or higher English level required.

Nice to have

• Experience with AWS services, including S3.

Culture & Benefits

• Work on enterprise-scale Data Lakehouse and analytics solutions for a global customer.
• Collaborate with experienced data engineering professionals across modern cloud-native and distributed systems.
• Develop expertise in Databricks, PySpark, Delta Lake, and scalable data platforms.