Data Engineer (Big Data) - Krakow - Poland - onsite - Hybrid

We are seeking a highly skilled Data Engineer to join our growing data team in Kraków. This role is ideal for someone with strong Big Data expertise, excellent analytical capabilities, and a passion for turning complex data into meaningful business insights.Key ResponsibilitiesDesign, build, and maintain scalable data pipelines and data architecture in a Big Data environmentExecute complex data analysis and develop advanced SQL queries to support business and technical needsCollaborate with cross-functional teams to understand data requirements and deliver high-quality solutionsEnsure data quality, integrity, and performance across platformsWork closely with stakeholders to translate business requirements into technical solutionsContribute to Agile delivery processes and continuous improvement initiativesRequired Skills & Experience5+ years of relevant experience as a Data Engineer in a Big Data environmentStrong expertise in complex data analysis and advanced SQL queryingProficiency in programming languages such as Python and/or ScalaHands-on experience with Spark and Big Data processing frameworksExperience with cloud platforms, preferably Azure CloudFamiliarity with Databricks and Power BI (or similar BI tools) is a strong advantageSolid understanding of Agile methodologies and delivery practicesStrong analytical, data management, and problem-solving skillsExcellent communication skills with the ability to collaborate with global stakeholdersFluent in English (written and spoken)Personal AttributesStrong team player with excellent interpersonal skillsProactive, resilient, and able to take initiativeKeen interest in understanding business context behind dataAbility to work effectively in a fast-paced, global environmentWhat We OfferOpportunity to work on large-scale, impactful data projectsCollaborative and international team environmentModern tech stack and cloud-based infrastructureCareer growth and development opportunitiesIf you're passionate about Big Data and want to make a real impact in a global organization, we’d love to hear from you.