Django)

Addepto

2d•Hybrid

About The Position

Addepto is a leading AI consulting and data engineering company that builds scalable, ROI-focused AI solutions for large enterprises and startups. As part of KMS Technology, Addepto combines deep AI specialization with enterprise-scale delivery capabilities. As a Senior Backend / Data Engineer (Python/Django), you will join a senior engineering team working on a greenfield data platform. You will be involved in building the solution end-to-end, combining strong backend engineering with data ingestion and data processing. The project involves integrating data from multiple file-based and API sources into a modern cloud data warehouse, with a strong focus on data quality, reliability, scalability, and production readiness. The company is also looking for engineers for other data projects, including a platform for processing automotive data (streaming and batch), a universal data platform for global aerospace companies (Azure and Databricks powered), and a centralized reporting platform for a telecommunications company (BigQuery and Looker). This role offers the opportunity to work on diverse and challenging data projects, leveraging modern technologies and contributing to impactful AI solutions.

Requirements

At least 4 years of commercial experience in Backend Engineering, Data Engineering, or building production data-intensive systems.
Strong programming skills in Python, including clean code and solid software engineering practices.
Hands-on commercial experience with Django and building REST APIs.
Experience designing and developing data ingestion / ETL or ELT pipelines from file-based and API sources.
Experience with modern cloud data platforms or warehouses, such as Snowflake or Databricks.
Working knowledge of at least one major cloud platform (AWS, Azure, or GCP).
Experience with workflow orchestration tools such as Airflow or equivalent.
Strong understanding of data validation, data quality, and error-handling design.
Experience working with CI/CD and production environments.
Ability to work independently and take ownership of technical deliverables.
Experience using AI coding assistants or AI-supported development workflows.
Excellent communication skills and the ability to clearly document technical decisions.
Fluent English (at least C1 level).

Responsibilities

Design and develop scalable data ingestion pipelines for file-based and API data sources using Python.
Build and maintain backend components responsible for data processing, validation, and integration.
Design and develop REST APIs using Python and Django.
Implement robust data quality, validation, and error-handling mechanisms.
Design and maintain data models and work with modern cloud data platforms and warehouses.
Develop and maintain automated data-quality tests.
Work with cloud services and workflow orchestration tools such as Airflow.
Contribute to CI/CD pipelines and application environment configuration.
Ensure solutions are reliable, maintainable, scalable, and production-ready.
Write and maintain technical documentation and operational runbooks.
Collaborate with engineers and stakeholders to translate business and technical requirements into effective solutions.
Use AI-assisted development tools and workflows as part of day-to-day software delivery.

Benefits

Flexible work arrangements, allowing remote work or work from modern offices and coworking spaces.
Career development paths.
Knowledge-sharing initiatives.
Language classes.
Sponsored training and conferences.
Access to Databricks and Anthropic training materials and certification programs.
Team-building events.
Integration budget.
Celebration of work anniversaries, birthdays, and milestones.
Medical and sports packages.
Eye care.
Well-being support services, including psychotherapy and coaching.
Full work equipment for optimal productivity, including a laptop and other necessary devices.
Opportunities to boost personal brand by speaking at conferences, writing for the blog, or participating in meetups.
Smooth onboarding with a dedicated buddy.
Friendly, supportive, and autonomous culture.