Python Developer

Python Developer

Posted Today by Insight International (UK) Ltd

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Negotiable
Undetermined
Undetermined
London Area, United Kingdom
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Application Development Application Programming Interface (API) Azure Databricks Azure DevOps Cloud Computing Cloud Technology Continuous Integration and Continuous Delivery Data Access Database Management Databricks Data Cleansing Data Engineering DevOps Django (Web Framework) Extract Transform Load (ETL) FastAPI Github Management Microsoft Azure Mobile Application Development Plotly Pyspark Python (Programming Language) React.js Relational Databases Scalability Software Coding Software Development SQL (Programming Language) User Experience Web SQL Databases Workflows

Summary: The Python Developer role in London focuses on combining backend data engineering with frontend application development. The position requires expertise in Python, React.js, SQL, and Databricks to create scalable, data-driven applications. Responsibilities include building APIs, developing ETL pipelines, managing SQL databases, and designing interactive user interfaces. Collaboration with cross-functional teams and participation in DevOps practices are also key aspects of the role.

Key Responsibilities:

  • Build APIs and services using Python frameworks (Flask, FastAPI, Django).
  • Integrate with Databricks SQL endpoints for data access.
  • Ensure performance, scalability, and security of backend systems.
  • Develop ETL pipelines and workflows using PySpark on Databricks.
  • Work with Delta Lake, Unity Catalog, and Databricks REST APIs.
  • Optimize queries and pipelines for cost efficiency in cloud environments (Azure/AWS).
  • Write and optimize complex SQL queries.
  • Manage relational databases and integrate with Databricks.
  • Perform data cleansing, transformation, and aggregation for analytics.
  • Design and build responsive, interactive UIs using React.js.
  • Integrate frontend components with backend APIs and Databricks datasets.
  • Use visualization libraries (D3.js, Plotly, Recharts) for dashboards.
  • Work with cross-functional teams (data scientists, product managers, UX designers).
  • Participate in CI/CD pipelines (GitHub Actions, Azure DevOps).
  • Document workflows and ensure compliance with coding standards.

Key Skills:

  • Proficiency in Python, React.js, SQL, and Databricks.
  • Experience with Python frameworks (Flask, FastAPI, Django).
  • Knowledge of ETL processes and data engineering using PySpark.
  • Familiarity with Delta Lake, Unity Catalog, and Databricks REST APIs.
  • Strong SQL skills for database management and optimization.
  • Ability to design responsive UIs and integrate with backend services.
  • Experience with visualization libraries (D3.js, Plotly, Recharts).
  • Collaboration skills for working in cross-functional teams.
  • Understanding of CI/CD practices and tools (GitHub Actions, Azure DevOps).
  • Strong documentation and coding standards compliance.

Salary (Rate): undetermined

City: London

Country: United Kingdom

Working Arrangements: undetermined

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Role Title : Python Developer

Location : London, UK

Employment Type : Permanent

A Python + React + SQL + Databricks developer role blends backend data engineering with frontend application development, requiring strong coding skills in Python, React.js, SQL, and Databricks for building scalable, data-driven applications.

Key Responsibilities

  • Backend Development (Python)
    • Build APIs and services using Python frameworks (Flask, FastAPI, Django).
    • Integrate with Databricks SQL endpoints for data access.
    • Ensure performance, scalability, and security of backend systems.
  • Databricks & Data Engineering
    • Develop ETL pipelines and workflows using PySpark on Databricks.
    • Work with Delta Lake, Unity Catalog, and Databricks REST APIs.
    • Optimize queries and pipelines for cost efficiency in cloud environments (Azure/AWS).
  • SQL Database Management
    • Write and optimize complex SQL queries.
    • Manage relational databases and integrate with Databricks.
    • Perform data cleansing, transformation, and aggregation for analytics.
  • Frontend Development (React)
    • Design and build responsive, interactive UIs using React.js.
    • Integrate frontend components with backend APIs and Databricks datasets.
    • Use visualization libraries (D3.js, Plotly, Recharts) for dashboards.
  • Collaboration & DevOps
    • Work with cross-functional teams (data scientists, product managers, UX designers).
    • Participate in CI/CD pipelines (GitHub Actions, Azure DevOps).
    • Document workflows and ensure compliance with coding standards.
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