Senior Cloud Data Engineer (Azure)

Quick Facts

• Role: Senior Cloud Data Engineer (Azure)

• Focus: Azure Data Platform (Azure Synapse, Databricks, Data Lakehouse)

• Preferred start: November 2026

• Work model: 100% remote

Description

You will design, develop, and maintain scalable cloud data solutions on the Azure Data Platform, covering Azure Synapse, Databricks, and Data Lakehouse environments. The role includes building and optimizing ETL/ELT pipelines, developing Databricks workflows (including Delta Live Tables), and supporting data platform migration and modernization (e.g., Unity Catalog). You will also contribute to CI/CD, infrastructure automation, monitoring, logging, and operational best practices.

Responsibilities

• Implement and optimize ETL/ELT processes to ingest, transform, and serve data from multiple business domains (operational, financial, reporting systems)

• Create and maintain data processing solutions using Python, SQL, and Apache Spark

• Support data environment migration and modernization, including Unity Catalog rollout, platform updates, and data platform transformations

• Build and maintain Databricks workflows, Delta Live Tables (DLT), metadata-driven frameworks, and orchestration processes

• Collaborate with architects, analysts, and business stakeholders to translate business requirements into robust technical solutions

• Co-develop and improve CI/CD processes, infrastructure automation, monitoring, logging, and operational best practices

Requirements

• Minimum 6 years of Azure cloud data experience in commercial production projects

• Experience with Terraform

• Databricks experience

• Commercial experience processing large data using JSON

• Commercial experience with PySpark

• Advanced SQL experience

• Proficiency with Git and CI/CD methodologies

• Ability to design and optimize data processing solutions (ETL/ELT) with technical planning and alternatives (e.g., Apache Airflow)

• Python development experience with Pandas and/or NumPy

• Familiarity with Azure Data Explorer, Azure Data Factory, Azure Data Lake, Azure Databricks, Azure DevOps, Azure Synapse Analytics

• Agile practices and software development tooling familiarity (including Azure DevOps)

• Knowledge of secure cloud data storage and processing

• Conscious use of Generative AI in software engineering processes and architectural/technical decisions

• English at least B2; comfortable communication in Polish

Benefits

• High autonomy and real impact on project direction

• Client projects across Europe and the USA (tourism, insurance, energy, pharma, finance)

• Paid cloud certifications and training (AWS, Microsoft, Databricks Academy)

• AI tools for the team from day one

• Expert community and access to system architects, business analysts, and UX teams

• 100% remote work

• Substantive feedback after the recruitment process, regardless of outcome