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Shippeo

Real-time supply chain visibility platform

Senior Data Integration Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listed

About the Job

Requirements

  • Four to six years of dedicated experience as a Data Engineer or Data Integration Engineer.
  • Advanced proficiency in Python and standard data libraries, including Pandas and NumPy.
  • Strong hands-on exposure to application programming interfaces, Airflow, structured files such as JSON and XML, and flat files such as CSV and EDI.
  • Solid knowledge of coding best practices, object-oriented programming principles, data structures, and relational and non-relational database models.
  • Strong verbal and written communication skills in English, with the ability to mentor junior engineers and communicate confidently with client stakeholders.

Responsibilities

  • Write and maintain clean, efficient, well-documented automated data pipelines in Python to process millions of data points.
  • Translate complex customer requirements into high-level technical architecture designs and convert them into working code.
  • Lead, coach, and unblock a team of junior engineers in Bangalore; manage code reviews and oversee production releases.
  • Partner with clients during project kick-off phases to gather requirements, map technical architecture, and solve edge-case integration defects.
  • Collaborate with Data Engineers and Product leads to leverage AI capabilities and internal tools, driving faster and more efficient outcomes.

Desired Qualifications

  • Familiarity with basic cloud computing principles, preferably AWS services.
  • Prior experience in the supply chain, logistics, or SaaS enterprise software sector.

About the Company

Shippeo

Real-time supply chain visibility platform

Shippeo provides a Europe-focused supply chain visibility platform that gives real-time and predictive information to optimize transportation and operations. Through a subscription service, clients such as retailers, manufacturers, and logistics providers access a machine learning–driven system that delivers accurate estimated times of arrival (ETAs) and anticipates potential disruptions, enabling proactive planning. The platform supports carrier onboarding and technology integrations, and is designed to improve customer satisfaction, enhance team collaboration, and reduce transportation penalties. Shippeo differentiates itself by concentrating on the European market, offering precise ETA predictions and disruption forecasting as part of an integrated visibility solution. The company's goal is to help customers gain transparent, timely insights across their supply chains to drive smoother operations and fewer delays.

Company size
201-500
Company stage
Late Stage VC
Total funding
$134.1M
Headquarters
Paris, France
Founded
2014

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