Senior Data Engineer (Azure Databricks)

Quick Facts

• Role: Senior Data Engineer (Azure Databricks)

Description

You will design, develop, and maintain scalable Azure Databricks data solutions for analytics and BI. You will manage the full data lifecycle—from acquisition and integration to analysis and visualization—and build CI/CD pipelines to automate testing, deployment, and operations. You will deliver end-to-end data and analytics projects and optimize data pipelines, analytics products, and APIs for performance, reliability, scalability, and data quality.

Responsibilities

• Design, develop, and maintain scalable Azure Databricks solutions for analytics and BI
• Manage the end-to-end data lifecycle (acquisition, integration, analysis, visualization)
• Build and maintain CI/CD pipelines using Azure DevOps and/or GitHub
• Deliver end-to-end data and analytics projects (requirements, architecture, implementation, deployment)
• Develop and optimize data pipelines, visualizations, analytics products, automated services, and APIs
• Ingest and integrate data from diverse sources into scalable, maintainable data platforms
• Ensure performance, reliability, scalability, and data quality
• Collaborate with multidisciplinary teams to create models, insights, and production-ready solutions
• Identify opportunities to leverage data and models to improve products and customer solutions
• Advise clients and stakeholders on data, Databricks, and solution architecture to identify optimization opportunities

Requirements

• 4+ years of experience with Azure
• 6+ years of industrial experience in large-scale data management, visualization, and analytics
• Strong hands-on experience with Azure Databricks (data engineering, data processing, analytics workloads)
• Hands-on knowledge of Azure data services such as Azure Data Lake, Azure SQL, and Azure Data Factory
• Good knowledge of SQL and Python
• Proactive, goal-oriented mindset and strong problem-solving skills
• Excellent communication skills in English for discussing technical issues with clients and end users
• Willingness to visit the Warsaw office as needed (customer visits/workshops/important project periods)

Benefits

• Learning & development: flexible English reimbursement and an individual development budget after probation
• Private medical care, sports card, preferential life insurance, plus Fruit Tuesdays and a summer ice-cream bonus
• Hybrid work setup with delivery teams mostly remote
• Non-work activities and community initiatives (e.g., Office Day, competitions, CF4GOOD charity causes)
• People-first, collaboration-focused culture