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Data Engineering Consultant

Data Engineering Consultant

North America, Remote

We’re working with the market leader in the PLM (Product Lifecycle Management) industry, working with Crocs, Aldi, Louis Vuitton and Skechers to name a few.

The product is a AI driven intelligence tool that has changed the retail and consumer goods world completely. Where companies implement the software to forecast trends, get insights on competition and match supply to demand to name a few. All through the power of machine learning and AI.

They’re currently at a Series D round of funding and sit around 1000+ employees and are continuing their growth in both North America and Europe.


OQ-industries Artificial Intelligence
OQ-industries Retail
OQ-industries SaaS

What to expect:

The Pricing and Inventory Business Unit, focused on U.S. growth, delivers AI-driven in-season pricing and inventory solutions for fashion, beauty, and home markets. This role involves collaborating with internal tech & product teams as well as customers and external vendors to continuously ensure a high data quality. Responsibilities include transforming and storing incoming and outgoing data, improving data models and data interface structures, and maintaining stable data flow.


  • Fully remote within the US or Canada
  • Great work life balance, built on collaboration, flexibility and respect
  • Surrounded by an expert team to help you develop and progress
  • This is a new business unit, so there is a strong pathway for growth in the business


  • Business-fluent in English; additional language skills are advantageous
  • 2+ years hands-on experience in data migration, transformation and storage
  • Proficient knowledge of Python, Spark, SQL, AWS/Azure/GCP is advantageous
  • Comfortable working with external stakeholders, handling customer situations and communicating across all organizational levels
  • Experience in retail merchandising within the fashion and lifestyle sectors is a big plus

Sounds good?

Apply now
For more information, connect with our specialised team member on LinkedIn Drew Batteria