Data Engineer – AI-Driven Procurement Platform

Job Title:

Location:

Experience Required:

About the Role:

We’re on a mission to redefine enterprise procurement using AI. Our intelligent sourcing platform leverages cutting-edge technology to help organizations discover, assess, and collaborate with suppliers more effectively. This system relies on scalable data ingestion pipelines, smart recommendation engines, and rich analytics capabilities to support strategic procurement decisions across industries.

What You’ll Do:

• Build and maintain efficient, scalable, and fault-tolerant data pipelines to collect and process structured and unstructured data from a variety of internal and external data sources.
• Partner with ML engineers, data scientists, and product managers to deliver clean, reliable data to power AI models and analytics dashboards.
• Design and optimize ETL/ELT workflows to ensure data pipelines are high-performing, maintainable, and robust.
• Develop APIs, data models, and storage systems to support data products and analytical tools.
• Enforce data quality, security, and compliance in alignment with both internal policies and industry regulations.
• Monitor data systems, debug issues, and perform performance tuning in a cloud-native environment.
• Participate in technical design discussions and contribute to the evolution of the data engineering roadmap within an agile setup.

Must-Have Qualifications:

• Proven expertise in

  Python

  and

  SQL

  for building data pipelines and transformations.
• Experience with orchestration tools like

  Apache Airflow

  ,

  Prefect

  , or

  Dagster

  .
• Solid background in cloud platforms, especially

  AWS (S3, Glue, Lambda, Redshift)

  or

  GCP (BigQuery, Dataflow)

  .
• Deep understanding of data architecture including

  data lakes, warehouses

  , and

  batch/stream processing paradigms

  .
• Familiar with

  API integration

  ,

  Git-based version control

  , and

  CI/CD tools

  like GitHub Actions or Jenkins.
• Knowledge of

  data governance

  , validation frameworks, and best practices for ensuring data integrity and security.

Bonus Points For:

• Exposure to

  ML workflows

  and tools such as

  MLflow

  ,

  SageMaker

  , or

  Vertex AI

  .
• Background in

  procurement

  ,

  supply chain

  , or enterprise sourcing platforms.
• Experience working with

  graph databases

  ,

  NLP tools

  , or

  personalized recommendation systems

  .
• Previous collaboration with global product teams or consulting engagements.

What’s In It for You:

• Be part of building a game-changing AI platform with meaningful business impact.
• Work alongside an expert team of engineers, scientists, and UX designers.
• Enjoy the freedom to innovate and influence technical direction in a fast-paced, startup-style environment.