Senior Python Engineer

• Minimum 7 years of commercial experience with Python as the primary programming language
• Strong hands-on experience with Pandas, NumPy, Polars, Dask, or similar Python data tooling
• Experience working with time-series, event-driven, or large historical datasets
• Strong SQL skills
• Hands-on experience with analytical databases or data platforms such as ClickHouse, Snowflake, BigQuery, Redshift, Databricks, or Druid
• Experience building production data pipelines, internal tools, or reusable Python components
• Practical approach to data quality, debugging, monitoring, and performance optimisation
• Good English communication skills (C1)

• Building and maintaining production-grade Python tools, libraries, and data pipelines
• Working with large-scale historical, time-series, and event-based datasets
• Improving data quality, validation, observability, and monitoring
• Optimising data-processing workflows and pipeline performance
• Writing SQL queries and working with analytical databases and data platforms
• Collaborating with engineers and technical users to improve internal data workflows
• Solving practical problems around data reliability, scale, and performance

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