Data Engineer - Mid & Senior

Data Engineer – Mid & Senior - 4 vacanciesCloud ETL & Platform Development📍 Hybrid in Warsaw (3 days/week onsite required) | 💼 Full-time | B2B contract up to $7,800/monthOur client is a US-based technology company headquartered in New York City, delivering digital solutions and consulting services that transform businesses and drive measurable value. With offices in multiple countries, the company is now investing in a new engineering centre in Warsaw, recognizing the strong talent and culture of Polish software professionals.We are looking for a highly motivated and self-driven Data Engineer to join a fast-growing data platform team. In this role, you will design, build, and maintain robust, scalable, and cloud-native ETL infrastructure and data pipelines, enabling real-time analytics and AI-ready architecture for high-performance business applications.This is a hybrid position — you will be expected to work from the Warsaw office at least 3 days per week.Key ResponsibilitiesDesign, develop, and deploy Python-based ETL pipelines using Airflow and PrefectBuild and optimize data warehouse structures for analytics, OLAP, and dimensional modelingModel AI-compatible DB schemas and ontologies for future-facing analyticsMigrate and transform structured, semi-structured, and unstructured data using DBT and PandasWork with streaming/event-driven architectures for real-time data processingOptimize pipeline performance and scalability for large data volumesEnsure data quality, validation, cleansing, and graceful error handlingPerform code reviews to ensure standards, scalability, and best practicesCollaborate with DevOps on CI/CD and automated release pipelinesImplement data governance, security, and observability across ETL processesKey Requirements5+ years of experience designing and building enterprise-scale ETL pipelinesStrong Python skills, including use of Pandas for data processingProficient in SQL — writing complex queries and procedures across RDBMSesExperience with Airflow, Prefect, or similar workflow orchestration toolsSolid understanding of data warehousing (OLTP, OLAP, Facts & Dimensions)Familiarity with cloud-based data platforms such as RDS, Redshift, or SnowflakeKnowledge of cloud data architectures, messaging systems, and scalable designHands-on experience with code versioning, deployment automation, and CI/CDPreferred QualificationsExperience with Docker, Kubernetes, AWS Lambdas, Step FunctionsExposure to Databricks, PySpark, and advanced distributed data processingCloud certifications are a plusWhat’s OfferedB2B contract with monthly compensation up to $7,800Strong career growth opportunities in a global fintech environmentHigh-impact projects in a fast-growing sectorFriendly, open, and ambitious team cultureHybrid model – minimum 3 days/week in the Warsaw office