Requirements

Expected technologies

Databricks

Apache Spark

Azure Data Factory

Python

Terraform

SQL

Azure SQL

Optional technologies

Docker

Kubernetes

Our requirements

• Minimum 4 years of professional experience in data engineering or backend development
• Strong hands-on experience in Python and SQL for data processing and automation
• Deep understanding of Databricks, Apache Spark, and Delta Lake
• Proficiency in the Azure Data Stack, including Data Factory, ADLS, Synapse, Azure SQL, and Event Hubs
• Experience with streaming data and real-time analytics solutions
• Familiarity with DevOps tools and practices such as CI/CD, Terraform, Docker, Kubernetes/AKS
• Proven ability to lead, mentor, and collaborate effectively within engineering teams
• Fluent Polish required
• Residing in Poland required

Your responsibilities

• Designing and implementing scalable Data Hubs, integrating diverse data sources
• Defining and enforcing standards, best practices, and architecture patterns across teams
• Mentoring data engineers and guiding technical decisions through code reviews and strategic input
• Building robust batch and real-time data pipelines using Python, SQL, and Spark
• Implementing monitoring, data validation, and anomaly detection mechanisms
• Automating infrastructure and deployment workflows with CI/CD tools