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.

Responsibilities

Design, build, and maintain data pipelines for processing large-scale datasets
Develop solutions for data ingestion, transformation, and storage using Python
Work with structured and unstructured data from various external and internal sources
Optimize data workflows to ensure performance, scalability, and reliability
Collaborate with engineering and business teams to understand data needs and deliver solutions
Ensure data quality through validation, monitoring, and error handling mechanisms
Contribute to the development of modern data platforms and architectures

Requirements

Solid experience in data engineering, preferably with batch processing or ETL workflows
Strong 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 datasets
Knowledge of designing and optimizing data processing workflows
Familiarity with cloud environments (AWS, GCP, or Azure)
Strong analytical thinking and problem-solving skills

Nice to have

Experience working with financial or market data
Familiarity with columnar storage formats (e.g., Parquet)
Knowledge of modern data lake or data platform concepts
Experience with containerization (e.g., Docker, Kubernetes)
Exposure to timeseries data or low-latency data processing

We offer

Opportunity to work with large-scale data systems
Exposure to modern data technologies and cloud environments
Collaborative and engineering-driven culture
Flexible working conditions

Senior Data Engineer with Python

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