Python Engineer - Hybrid (1 day a week in London) - Outside IR35 - Rate negotiable Must have worked in Financial Services We are seeking a skilled Python Developer to join our clients data engineering team, focusing on data processing, automation, and orchestration workflows within a reference data platform. This is a technically demanding role that involves building and maintaining robust data pipelines, ensuring seamless orchestration across systems, and integrating with modern data platforms. Key Responsibilities: • Develop and maintain Python-based data processing solutions • Design and implement orchestration workflows using tools such as Apache Airflow, Azure Data Factory (ADF), and Control-M • Collaborate with cross-functional teams to optimize data integration and transformation processes • Work with data platforms including Databricks, Snowflake, and Exadata to manage and manipulate large-scale datasets • Integrate and manage event-driven architectures using Kafka and Event Hub • Contribute to automation and efficiency improvements across the reference data platform • Participate in code reviews, testing, and documentation Key Skills & Experience: • Very strong in Python, particularly for backend and data processing tasks • Recently worked in financial services industry on internal systems • Hands-on experience with orchestration tools such as Airflow, ADF, or Control-M • Familiarity with data platforms such as Databricks, Snowflake, and Exadata • Experience with event streaming technologies like Kafka and Event Hub • Bonus: Exposure to Streamlit, Power Apps for lightweight UI development