Senior Data Engineer (Azure/Databricks)

Required skills: SQL, Python, Business Intelligence (BI), Operations, CI/CD, Testing, Solution architecture, Microsoft Azure, GitHub, Big Data Location: 100% remotely Rate: up to 160 pln/h on b2b We are looking for an experienced Senior Data Engineer (Azure/Databricks) , who will support our global customers mainly in the pharmaceutical and FMCG industry in building innovative big data products and services. You will be responsible for: Designing, developing, and maintaining scalable data solutions in Azure Databricks for analytics and BI Managing the full data lifecycle, from acquisition and integration to analysis and visualization Building and maintaining CI/CD pipelines using Azure DevOps and/or GitHub , automating testing, deployment, and operations Delivering end-to-end data and analytics projects , from requirements and architecture to implementation and deployment Developing and optimizing data pipelines, visualizations, analytics products, automated services, and APIs Ingesting and integrating data from diverse sources into scalable, maintainable data platforms Ensuring performance, reliability, scalability, and data quality of data solutions Collaborating with multidisciplinary teams to turn data into models, insights, and production-ready solutions Identifying opportunities to leverage data and models to improve products and customer solutions Advising clients and stakeholders on data, Databricks, and solution architecture, identifying optimization opportunities What you will need: 4+ years of experience in Azure and 6+ years of industrial experience in large-scale data management, visualization, and analytics Strong hands-on experience with Azure Databricks , including data engineering, data processing, and analytics workloads Hands-on knowledge of other Azure data services and technologies, such as Azure Data Lake, Azure SQL, Azure Data Factory Good knowledge of SQL and Python Proactive approach, goal-oriented mindset, and strong problem-solving skills Great communication skills for discussing technical issues with end users and clients Very good knowledge of English, with the ability to communicate effectively and explain and simplify technical topics for the business Willingness to show up at the Warsaw office as needed (customer visits/workshops/important project periods requiring F2F teamwork). Nice to have: Experience designing and implementing CI/CD pipelines for data and analytics solutions, preferably using Azure DevOps, and data orchestration through Databricks Workflows Good understanding of DevOps practices, version control, automated testing, and deployment processes