Senior Data Engineer

We are a team of experts bringing together top talents in IT and analytics. Our mission is to build high-performing data and technology teams — from the ground up or by scaling existing ones — to help our partners become truly data-driven organizations.Currently, we are looking for a Senior Data Engineer to join the Global Analytics Unit, a global, centralized team driving data-driven decision-making and developing smart data products that power everyday operations across markets.The team’s essence is innovation — we foster a data-first mindset across all business areas, from sales and logistics to marketing and procurement. As the team expands its analytics solutions globally, we’re seeking a hands-on engineer who combines strong software craftsmanship with a passion for building scalable, automated data systems.Why join usIf you want to:Work on complex, large-scale data systems with global impactBuild robust and scalable data pipelines using modern cloud-native architecturesContribute to innovative projects and see your ideas implementedWork in a diverse global team of top-tier engineers and data professionalsHave the freedom to shape tools, technologies, and processesOperate in a culture that values autonomy, collaboration, and technical excellencethen this role is for you.We also offer:Flexible working hours and remote work optionsA relaxed, non-corporate environment with no unnecessary bureaucracyPrivate medical care and Multisport cardA modern office in central Warsaw with great transport linksAccess to global learning resources, certifications, and knowledge exchangeYour roleAs a Senior Data Engineer, you will:Design, develop, and maintain end-to-end data pipelines and architectures for large-scale analytics solutionsRefactor code and REST services to support dynamic OpCo deployments and multi-tenant scalabilityDevelop zero-touch deployment pipelines to automate infrastructure and environment provisioningImplement data validation and testing frameworks ensuring reliability and accuracy across data flowsIntegrate new pipelines into a harmonized data execution portalBuild and maintain serverless and Databricks-based data processing systems on AzureDesign and optimize ETL/ELT workflows in Python (including PySpark)Implement Infrastructure as Code (IaC) for reproducible deployments using tools like TerraformCollaborate closely with Data Scientists, Architects, and Analysts to deliver production-grade data productsTroubleshoot, monitor, and improve data pipelines to ensure performance and resilienceWhat we expect5+ years of professional experience as a Data Engineer or Software Engineer in data-intensive environmentsStrong Python development skills, with solid understanding of OOP, modular design, and testing (unit/integration)Experience with PySpark and distributed data processing frameworksHands-on experience with Azure Data ecosystem, including Databricks, Data Factory, Synapse, and serverless computeSolid knowledge of SQL and database performance optimizationExperience in CI/CD and DevOps practices for data pipelines (GitHub Actions, Azure DevOps, or similar)Proven ability to refactor complex systems and implement scalable, automated solutionsExperience in data testing, validation, and observability frameworksStrong communication skills and the ability to work independently in a global, collaborative team environmentFluent EnglishNice to haveExperience with DBT (Data Build Tool) for transforming and testing data in analytics pipelinesExperience with Terraform or other Infrastructure as Code toolsFamiliarity with containerization and orchestration (Docker, Kubernetes)Understanding of data governance and metadata management principlesExperience in multi-tenant or multi-market system designIn shortWe’re looking for a software-minded Data Engineer — someone who writes clean, testable Python, designs systems that scale globally, and loves automating everything that can be automated. You’ll have a real impact on the architecture and delivery of global analytics solutions used daily across multiple markets.Please add to your CV the following clause:"I hereby agree to the processing of my personal data included in my job offer by hubQuest spółka z ograniczoną odpowiedzialnością located in Warsaw for the purpose of the current recruitment process.”If you want to be considered in the future recruitment processes please add the following statement:"I also agree to the processing of my personal data for the purpose of future recruitment processes.”