What we offerVacanciesData Engineer

Data Engineer (Interior Design)

Argentina Brazil Bulgaria Colombia Europe Europe (remote) Latin America Mexico Poland Remote (Ukraine) Romania Ukraine Data Engineering Engineering Python
Apply Now

Required skills

SQL / strong
Python / strong
Data Warehousing / strong
English / expert

Are you passionate about building robust, high-performance data platforms? Join us as a Data Engineer and work on an innovative solution in the interior decor industry.

We at Sigma Software create cutting-edge digital products that transform industries, and this project is no exception. You will be part of a team that combines technology and design to deliver a unique visualization experience for customers. Why join us? You’ll work with modern data engineering tools, enjoy professional growth opportunities, and be part of a supportive, knowledge-sharing culture.

Customer

Our client operates in the interior decor sector, delivering innovative digital solutions that enhance the shopping experience. Their advanced visualization tools allow customers to preview furniture and decor items in realistic settings, helping them make confident purchasing decisions. The company blends technology with design expertise to transform how people shop for their homes.

Project

The project focuses on building a high-performance data platform to support an advanced interior visualization product. This solution enables real-time rendering of home decor items in various styles and environments, powered by robust ELT pipelines and centralized data warehousing. The team works closely with product managers, machine learning engineers, and data scientists to ensure data-driven insights and seamless user experiences.

Requirements

  • At least 3-4 years of experience in data engineering, building scalable data systems and pipelines
  • Strong SQL skills
  • Working proficiency in Python
  • Experience building or maintaining data pipelines and working with a data warehouse or analytics stack
  • Strong computer science fundamentals
  • Knowledge of system architecture with emphasis on reliability, availability, and performance
  • Focus on delivering production-ready solutions
  • Attention to detail and commitment to data quality
  • Clear communication skills
  • Comfortable working in a fast-paced, evolving environment
  • Upper-Intermediate level of spoken and written English

Personal Profile

  • Proactive and detail-oriented approach
  • Ability to take ownership of complex data systems
  • Passion for data quality and continuous improvement
  • Strong mentoring and collaboration skills
  • Adaptability in fast-paced project environments

Responsibilities

  • Design, build, and optimize high-volume, high-performance ELT pipelines for centralized data warehousing
  • Collaborate with Product Managers, ML Engineers, Data Scientists, and DevOps to define and enforce a reliable, scalable, and secure data platform architecture
  • Ensure adherence to data warehousing standards, data quality best practices, and metadata management processes
  • Take responsibility for assigned data warehouse components, contributing to enhancements in performance and reliability
  • Conduct architecture reviews and participate in system design discussions to provide technical input
  • Support and collaborate with peers, sharing knowledge and promoting a culture of quality and continuous learning
Meet your team!

WHY US

  • Diversity of Domains & Businesses
  • Variety of technology
  • Health & Legal support
  • Active professional community
  • Continuous education and growing
  • Flexible schedule
  • Remote work
  • Outstanding offices (if you choose it)
  • Sports and community activities

REF3912N

Share this vacancy

apply now

apply now

    OR

    Drop your CV here, or

    Supports: DOC, DOCX, PDF, max size 5 Mb


    Submit application

    Take a quiz

    Take a quiz

      Was it comfortable to apply the CV?


      How did you find us?




      Did you hear about us before visiting the site?