Data Engineer / Data Architect

Quick Facts

• Role: Data Engineer / Data Architect

• Work model: 100% remote

• Engagement: B2B (long-term, 12+ months)

Description

You will design, build, optimize, and maintain Azure data pipelines for processing and integrating large text datasets using OpenAPI. You will also develop and maintain knowledge bases (including vector storage) for analytics and AI/ML use cases, and build OpenAPI/Swagger-documented APIs that expose pipeline data to other systems. This is a Data Engineering/Data Architecture role focused on pipelines and data integration—not a Python full-stack position.

Responsibilities

• Build, optimize, and maintain high-performance data pipelines in Azure

• Process, parse, clean, and structure large volumes of text data

• Develop and maintain knowledge bases (including vector databases / data storage structures) for analytics and AI/ML solutions

• Design, integrate, and expose OpenAPI (Swagger) APIs to feed and serve data from pipelines

• Create consistent data contract documentation and integration touchpoints (API-first) in OpenAPI

• Collaborate with analysts, architects, and engineers to design end-to-end data architecture

Requirements

• Very strong Python knowledge and ability to write efficient, clean code for data processing and analysis

• Practical commercial experience with key data services on Microsoft Azure

• Practical OpenAPI (Swagger) knowledge for integrating pipelines, delivering endpoints, and documenting API specifications

• Experience designing, maintaining, or integrating knowledge bases, vector databases, and advanced data storage structures

• Experience handling large-volume text files with optimization of reading/writing and efficient processing

• High communication skills and fluent English for day-to-day project collaboration

Benefits

• Stable long-term B2B collaboration

• Growth within a mature, reputable organization

• Complete workstation setup with modern personalized equipment and ready-to-use software resources

• 100% remote work with flexible start time (6:00–10:00)

• Dedicated mentoring and ongoing support from expert team members

• Strong culture based on respect, sharing knowledge, and working toward shared goals

• Real impact: room for initiatives and shaping solutions with your ideas