Python Developer

Python Developer

Posted 1 day ago by 1752142065

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Negotiable
Outside
Hybrid
London
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Airflow Apache Airflow Apache Kafka Automation Azure Databricks Azure Data Factory Banking Control-M (Batch Scheduling Software) Databricks Data Engineering Data Integration Data Processing Financial Services Microsoft Azure Powerapps Python (Programming Language) Securities (Finance) Snowflake (Data Warehouse) Software Development User Interface Workflows

Summary: We are looking for a skilled Python Developer specializing in data engineering and orchestration workflows within a financial services context. The role involves developing robust data pipelines and integrating with modern data platforms while ensuring seamless orchestration across systems. The position is primarily remote with one day a week in London and is classified as outside IR35. Candidates should have a strong background in Python and experience with various data processing and orchestration tools.

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:

  • 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.
  • 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.

Salary (Rate): undetermined

City: London

Country: UK

Working Arrangements: hybrid

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

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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