Summary
✨ AI‑Generated
A senior data engineering role focused on building scalable data platforms, pipelines, analytics solutions, and automated delivery processes using modern cloud data technologies.
Highlights
Fully remote opportunity with competitive contract rates, modern data technologies, and end-to-end ownership of analytics solutions.
Description
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 BIManaging the full data lifecycle, from acquisition and integration to analysis and visualizationBuilding and maintaining CI/CD pipelines using Azure DevOps and/or GitHub, automating testing, deployment, and operationsDelivering end-to-end data and analytics projects, from requirements and architecture to implementation and deploymentDeveloping and optimizing data pipelines, visualizations, analytics products, automated services, and APIsIngesting and integrating data from diverse sources into scalable, maintainable data platformsEnsuring performance, reliability, scalability, and data quality of data solutionsCollaborating with multidisciplinary teams to turn data into models, insights, and production-ready solutionsIdentifying opportunities to leverage data and models to improve products and customer solutionsAdvising 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 analyticsStrong hands-on experience with Azure Databricks, including data engineering, data processing, and analytics workloadsHands-on knowledge of other Azure data services and technologies, such as Azure Data Lake, Azure SQL, Azure Data FactoryGood knowledge of SQL and PythonProactive approach, goal-oriented mindset, and strong problem-solving skillsGreat communication skills for discussing technical issues with end users and clientsVery good knowledge of English, with the ability to communicate effectively and explain and simplify technical topics for the businessWillingness 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 WorkflowsGood understanding of DevOps practices, version control, automated testing, and deployment processes
