Role Overview
Efficienza is looking for a Python Engineer to join a fast-moving team building backend services, APIs, and data-driven applications. This role is ideal for candidates with strong Python fundamentals and an interest in backend development, whether gained through internships, academic projects, or self-driven learning.
You will contribute to backend systems and data workflows that support both internal and client-facing products. We value engineers who take initiative, learn independently, ask thoughtful questions, and enjoy solving real-world technical problems.
You will excel if you:
- Write clean, readable Python code and maintain code standards as systems grow
- Understand how APIs, databases, and services work together before implementation phase.
- Use documentation, logs, and available resources to investigate problems and learn independently
- Take ownership of assigned work, communicate blockers early, and follow through reliably
- Stay curious about backend systems, APIs, data flows, and how real-world applications are built and scaled
Key Responsibilities
Python Development and Code Quality
- Write clean, well-structured Python code following agreed conventions across functions, modules, and packages
- Break down assigned features into logical components with clear input, output, and error handling before implementation
- Use object-oriented programming concepts such as classes, inheritance, composition, and abstraction to build scalable backend applications
- Apply Python fundamentals correctly: data structures, comprehensions, generators, context managers, and exception handling
- Write code that is modular, reusable, and easy to extend as requirements evolve
- Write basic unit tests for functions and modules using pytest to validate behaviour and catch regressions early
Backend Services and API Development
- Build and maintain RESTful API endpoints using FastAPI or Flask, following consistent naming and response conventions
- Implement request validation, error handling, and structured response formatting across all endpoints
- Work with relational databases: write queries, manage schema changes, and validate data integrity
- Integrate with internal and third-party APIs, handling authentication, request validation, error responses, and service interactions
- Work with external services and APIs, understand how they communicate, and troubleshoot integration issues when they arise
Database and Storage
- Write and optimize SQL queries for PostgreSQL across read, write, and aggregation use cases
- Understand database schema design at a basic level: normalization, foreign keys, indexes, and the tradeoffs involved
- Validate that data flows correctly between APIs, business logic, and storage layers
- Work on caching and session storage by understanding basic data structures
- Assist in maintaining database migrations and understand their impact on existing data and services
Initiative and Independent Work
- Take ownership of assigned tasks from implementation through testing and review
- Raise ambiguities, dependencies, and blockers early instead of waiting until deadlines
- Propose implementation approaches and seek feedback when requirements are unclear
Collaboration and Communication
- Collaborate with engineers during sprint activities and communicate progress, blockers, and dependencies clearly
- Learn from code reviews and architectural guidance, applying established engineering standards consistently
- Contribute to documentation and seek feedback early to ensure implementations align with team practices and expectations
Required Technical Knowledge
| Area | Details |
|---|---|
| Python | Data structures, OOPS, error handling |
| REST API Basics | HTTP methods, status codes, request/response structure, JSON handling |
| FastAPI or Flask | Routing, request validation, response models, basic middleware |
| SQL / PostgreSQL | SELECT, INSERT, UPDATE, JOIN, WHERE clauses, basic schema understanding |
| Redis | Key-value storage concepts, caching basics, expiry handling |
| CLI and Scripts | Ability to build and run standalone Python scripts |
| Git | Commits, branches, pull requests, resolving conflicts, clean history, CI/CD Pipeline |
Key Deliverables
- Build and maintain Python services, APIs, and data workflows with appropriate testing and documentation
- Deliver clean, reviewable code and pull requests that align with team standards
- Contribute to reliable sprint delivery by completing tasks on time and communicating risks or blockers early
Good to Have
- Internship, academic, or personal project experience using Python for backend, data, or automation work
- Exposure to Docker, async Python, data processing libraries, or message queue concepts
- Open-source contributions or publicly accessible projects that demonstrate practical development experience