DontApply.Club
Login Register

Python Full-Stack Engineer

Neevglobal — United Kingdom · Posted ~1 hour ago

Skills

Python React.js SQL Databricks PySpark ETL APIs Flask FastAPI Django Delta Lake Unity Catalog Relational Databases Frontend Development Azure AWS

🔓 Log in to save this job, tailor your resume & track your apply process — 7 days free, no card needed.

Log in to add to target list

Summary ✨ AI‑Generated

Build scalable, data-driven applications across the full stack, combining Python backend services, modern React interfaces, SQL data management, and cloud-based data engineering. You will develop APIs, create ETL workflows with PySpark, work with lakehouse technologies and data catalogs, optimize queries and pipelines, and deliver interactive user experiences.

Highlights

Broad full-stack role combining backend engineering, data engineering, and responsive frontend development. The position provides hands-on exposure to modern Python frameworks, Databricks, cloud data platforms, scalable APIs, ETL pipelines, and analytics workflows.

Description

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 EngineeringDevelop 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 ManagementWrite 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 & DevOpsWork 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.