About Finonex Finonex is a company that develops innovative and advanced online financial trading platforms. They focus on creating accessible, secure, and user-friendly trading experiences powered by cutting-edge technology, supported by 24/7 service. We’re united by a collaborative, Agile culture that values creative and productive teams, transparent communication, and shared success. As a company that thrives on innovation and curiosity, we actively explore emerging technologies and industry trends—including AI and generative systems—through internal sessions, tech talks, and a culture of experimentation. Now, as we establish a brand-new Data Department, we are looking for highly skilled professionals who want to help build our data platform and shape the future of Finonex’s data strategy from the ground up.ResponsibilitiesDesign, implement, and maintain scalable data pipelines using Python and orchestration tools like Apache AirflowTake a leading role in evaluating and selecting foundational components of our data stack (e.g., Databricks vs. Snowflake)Architect and optimize data workflows across AWS and on-premise environmentsWork with modern file formats (Iceberg, Parquet, ORC) and understand their trade-offs for performance, cost, and scalabilityCollaborate with analysts, engineers, and stakeholders to provide accessible and reliable datasetsHelp assess and implement frameworks such as DBT for data transformation and modelingDevelop best practices and internal standards for data engineering, monitoring, and testingContribute to the long-term vision and roadmap of Finonex’s data infrastructureRequirements5+ years of hands-on experience as a Data Engineer or similar roleStrong proficiency in Python for data processing and workflow automationExperience with Apache Airflow (managed or self-hosted)Solid understanding of data lake and table formats like Iceberg, Parquet, Delta Lake, and their use casesFamiliarity with big data processing (e.g., Apache Spark) and query engines (e.g., Trino)Experience working in AWS environments, and comfort with hybrid cloud/on-premise infrastructureProven ability to work independently, drive decisions, and evaluate technologies with minimal oversightNice to HaveExperience with DBT or other data modeling and transformation toolsPrior involvement in building or migrating data platforms from scratchExposure to Superset or other modern BI toolsKnowledge of data governance, cataloging, or lineage tracking solutionsInterest in shaping team culture, mentoring, and knowledge sharingBenefitsWork in a highly professional team. Informal and friendly atmosphere in the teamPaid vacation — 20 business days per year, 100% sick leave paymentEquipment provisionPartially compensated educational costs (for courses, certifications, professional events, etc.)Legal and Accounting support in PolandAbility to work from our comfortable office in Warsaw at Prosta 515 sick days per year‍Medical insurance (after the end of the probationary period)Flexible working hours — we care about you (!) and your outputEnglish and Polish classes 2 times a week (online)Bright and memorable corporate life: corporate parties, gifts to employees on significant datesAI disclaimerWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Senior Data Engineer

Emma

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