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Python Developer - Data Engineering & Orchestration
Remote in the UK (1 day a week in London)
Outside IR35
Rate negotiable
Must come from Financial Services
We are seeking a skilled Python Developer to join our 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.
* 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.
* Bonus: Knowledge of banking and securities reference data.
* Ideal Candidate Profile:
* Technically curious with a passion for data-driven solutions.
* Strong problem-solving and analytical skills.
* Able to work both independently and as part of a collaborative team.
* Experience in high-performance, regulated industries (e.g., financial services) is a plus.
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