Posted today · be early

Data Engineer (Snowflake)

Addepto

WorldwideremotePosted today

Skill Required

Data-EngineerBig-Data-EngineerBackend-EngineerPython-DeveloperETL-DeveloperSnowflake-Data-EngineerSnowflake-EngineerSnowflake-Platform-EngineerSnowflake-Data-EngineeringCloud-Data-EngineerAWS-Data-EngineerSnowflake-Data-Warehouse-ArchitectData-Engineer-JobsSenior-Cloud-Data-EngineerData EngineerSnowflakesoftware engineeringdata engineeringCD pipelinesEngineeringR ProgrammingDatabricksdevelopingdesigningBigQuerybuildingAirflowPythonDjangoLookerdesignSparkAzureCI/CDCloudDesign PatternsAPIsETLAWSandFulltime

Key highlights

Experience: At least 4 years commercial experience
Key Requirement: Proven hands-on experience with Snowflake
Key Requirement: Commercial experience with Django and REST APIs
Key Requirement: Fluent English (C1 level)
Benefit: Flexible work arrangements (remote or modern offices)
Benefit: Sponsored training and certifications via Databricks and Anthropic

Role overview

Addepto is a leading AI consulting and data engineering company, part of the US-based KMS Technology group, that builds scalable AI solutions for large enterprises and startups. As a Data Engineer, you will join a senior engineering team working on a greenfield data platform, combining backend engineering with data ingestion and processing to integrate data from multiple file-based and API sources into a modern cloud data warehouse. Beyond the greenfield platform, the company offers opportunities to work on other high-impact projects, including a large-scale automotive data platform using Spark and AWS, a universal aerospace data platform powered by Azure and Databricks, and a centralized reporting platform for a US telecommunications company utilizing BigQuery and Looker.

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.

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.
Proven hands-on experience with Snowflake as a modern cloud data platform.
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.
Working knowledge of at least one major cloud platform (preferably AWS).
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).

Benefits

Work in a supportive team of passionate enthusiasts of AI & Big Data.
Engage with top-tier global enterprises and cutting-edge startups on international projects.
Enjoy flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces.
Accelerate your professional growth through career development paths, knowledge-sharing initiatives, language classes, and sponsored training and conferences.
Benefit from partnerships with Databricks and Anthropic, which provide access to industry-leading training materials and certification programs.
Participate in team-building events and utilize the integration budget.
Celebrate work anniversaries, birthdays, and milestones.
Access medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching.
Get full work equipment for optimal productivity, including a laptop and other necessary devices.
With our backing, you can boost your personal brand by speaking at conferences, writing for our blog, or participating in meetups.
Experience a smooth onboarding with a dedicated buddy, and start your journey in our friendly, supportive, and autonomous culture.