Senior Cloud Data Engineer (Azure)

Quick Facts

• Role: Senior Cloud Data Engineer (Azure)
• Platform: Azure Data Platform (Azure Synapse, Databricks, Data Lakehouse)
• Preferred start: November 2026
• Work model: 100% remote

Description

You will join a client project to design, develop, and maintain scalable data solutions on the Azure Data Platform. The role focuses on building and optimizing ETL/ELT and large-scale data processing with Python, SQL, and Apache Spark/Databricks, as well as supporting platform migration and modernization (including Unity Catalog). You will also help evolve CI/CD, automation, monitoring, and operational best practices.

Responsibilities

• Implement and optimize ETL/ELT processes to ingest, transform, and serve data from multiple business domains (operational, finance, reporting)
• Build and maintain data processing solutions using Python, SQL, and Apache Spark
• Support data environment migration and modernization, including Unity Catalog adoption, platform updates, and data platform transformations
• Build and maintain Databricks workflows, Delta Live Tables (DLT) solutions, metadata-driven frameworks, and orchestration processes
• Collaborate with architects, analysts, and business stakeholders to translate business requirements into technical solutions
• Co-develop CI/CD processes, infrastructure automation, monitoring, logging, and operational best practices

Requirements

• Minimum 6 years of experience working with Azure cloud data (commercial production deployments)
• Experience with Terraform
• Experience with Databricks
• Commercial experience processing large data sets using JSON
• Commercial experience with PySpark
• Advanced SQL applied to technical solutions (Microsoft technologies and beyond)
• Git experience and fluency with CI/CD methodologies
• Ability to design and optimize data processing solutions (ETL/ELT), including technical design and alternatives (e.g., Apache Airflow)
• Python programming experience with Pandas and/or NumPy
• Familiarity with Azure Data Explorer, Azure Data Factory, Azure Data Lake, Azure Databricks, Azure DevOps, Azure Synapse Analytics
• Experience with Agile practices and software development toolchain (including Azure DevOps)
• Knowledge of secure cloud data storage and processing mechanisms
• Ability to intentionally use Generative AI in software development and architectural/technology decisions
• English at B2 level or higher; comfortable communication in Polish

Benefits

• High autonomy and real impact on project direction
• Projects for European and US clients (travel, insurance, energy, pharmaceutical, finance)
• Cloud certifications and training paid by the employer (AWS, Microsoft, Databricks Academy)
• AI tools for the team from day one
• Expert community: topic groups and access to system architects, business analysts, and UX team
• 100% remote work
• Substantive feedback after the recruitment process, regardless of outcome