Senior Data Engineer with Python

Data Engineer (Python)We are looking for a Data Engineer with strong Python skills to join our team and support the development of scalable data processing solutions. This role focuses on building and optimizing data pipelines, working with large datasets, and enabling efficient data flow across systems.ResponsibilitiesDesign, build, and maintain data pipelines for processing large-scale datasetsDevelop solutions for data ingestion, transformation, and storage using PythonWork with structured and unstructured data from various external and internal sourcesOptimize data workflows to ensure performance, scalability, and reliabilityCollaborate with engineering and business teams to understand data needs and deliver solutionsEnsure data quality through validation, monitoring, and error handling mechanismsContribute to the development of modern data platforms and architecturesRequirementsSolid experience in data engineering, preferably with batch processing or ETL workflowsStrong hands-on experience with Python (Python-first mindset)Experience in ingesting and processing data (e.g., collecting, transforming, and loading data into storage systems such as data lakes)Good understanding of working with large-scale and high-volume datasetsKnowledge of designing and optimizing data processing workflowsFamiliarity with cloud environments (AWS, GCP, or Azure)Strong analytical thinking and problem-solving skillsNice to haveExperience working with financial or market dataFamiliarity with columnar storage formats (e.g., Parquet)Knowledge of modern data lake or data platform conceptsExperience with containerization (e.g., Docker, Kubernetes)Exposure to timeseries data or low-latency data processingWe offerOpportunity to work with large-scale data systemsExposure to modern data technologies and cloud environmentsCollaborative and engineering-driven cultureFlexible working conditions