Logward, a Shippeo company, is a pioneer in AI-powered supply chain execution workflows. As part of Shippeo — the global leader in real-time transportation visibility — Logward brings together trusted, SLA-backed visibility data with intelligent workflows and automation, helping global supply chain teams respond faster, reduce manual effort, and run more connected operations.
*Please note: this role is locally employed by and contracted directly through Logward India Private Limited.*
Job DescriptionAs a Senior Data Integration Engineer at Logward (a Shippeo company) , you will play a pivotal role in accelerating our engineering capabilities and shaping the technical direction of our data integration team. This position balances deep technical expertise with collaborative mentorship. Initially, you will work hands-on to ensure the stability of automated pipelines , but as our internal AI capabilities and automation tools evolve , your position will dynamically transition into a strategic technical consulting role, engaging directly in client workshops and technical design.
Please Note: This role is based in Bangalore, India requiring 4 days per week in the office. As we operate internationally, we kindly request all candidates to submit their CV in English.
Contract Type: Full-time / Permanent
Key Responsibilities
Hands-on Engineering: Write and maintain clean, efficient, and well-documented automated data pipelines in Python to process millions of data points.
System Design: Translate complex customer requirements into high-level technical architecture designs and convert them into working code.
Team Mentorship: Lead, coach, and unblock a team of junior engineers in Bangalore, managing code reviews (PRs) and overseeing production releases.
Technical Advisory: Partner with clients during project kick-off phases to gather requirements, map technical architecture, and solve edge-case integration defects.
Strategic Automation: Collaborate closely with Data Engineers and Product leads to leverage AI capabilities and internal tools, driving faster and more efficient outcomes.
We seek highly autonomous and self-directed professionals who thrive in an engineering environment that balances technical excellence with collaborative leadership.
Experience: 4–6 years of dedicated experience as a Data Engineer or Data Integration Engineer , ideally with a proven track record of handling team delivery or technical coordination.
Core Technical Stack: Advanced proficiency in Python and standard data libraries (Pandas, NumPy). Strong hands-on exposure to APIs, Airflow, structured files ($JSON/XML$), and flat files (CSV, EDI) is required.
Computer Science Fundamentals: Solid knowledge of coding best practices, object-oriented programming principles, data structures, and relational/non-relational database models.
Communication & Leadership: Exceptional verbal and written communication skills in English. You must possess the patience and clarity required to mentor junior engineers and confidently face client stakeholders.
Preferred (Not Required)
Familiarity with basic cloud computing principles, preferably AWS services.
Prior experience in the Supply Chain, Logistics, or SaaS enterprise software sector
Why Join Shippeo?
At Shippeo, you will join a fast-moving company that values ambition, care, delivery, and collaboration. We offer an environment where impact is encouraged, ideas are valued, and development is supported.
What sets us apart:
Meaningful work with real-world impact in global supply chains.
A diverse, inclusive, and international team.
A culture of transparency, feedback, and continuous learning.
Opportunities for growth, internal mobility, and professional development
Hybrid work model and flexible policies.
To learn more about our culture and people, visit our Careers section or explore team stories on our social platforms.
Recruitment Process
Preliminary call with a Talent Acquisition Manager
Technical Live Coding / Case Study assessment
First interview with the Hiring Manager
Final interview with leadership or cross-functional team members
Diversity and Inclusion
At Shippeo, we are committed to fostering a diverse and inclusive workplace. We value the perspectives, experiences, and contributions of individuals from all backgrounds. Our policies, practices, and company culture reflect this commitment to equal opportunity and mutual respect.
If you have specific needs or questions regarding disability inclusion, you may reach out to our dedicated Disability Advisor at [email protected] for support during the application process.
This position is published via the Shippeo global talent platform on behalf of Logward, a Shippeo group company. The hiring entity and legal employer of record for this role is Logward India Private Limited. All interviews, offer letters, and employment contracts will be executed directly through Logward India.
Skills Required
- 4-6 years experience as a Data Engineer or Data Integration Engineer, with team delivery or technical coordination experience
- Advanced proficiency in Python
- Experience with Pandas and NumPy
- Hands-on exposure to Airflow
- Hands-on experience with APIs
- Experience processing structured files (JSON, XML) and flat files (CSV, EDI)
- Strong computer science fundamentals: OOP, data structures, relational and non-relational database models
- Excellent verbal and written communication in English; ability to mentor and interact with client stakeholders
- Work from Bangalore office 4 days per week (local presence)
- Familiarity with basic cloud computing principles, preferably AWS
- Prior experience in Supply Chain, Logistics, or SaaS enterprise software
What We Do
Shippeo is a global leader in real-time multimodal transportation visibility, helping major shippers and logistics service providers operate more resilient, sustainable, and customer-centric supply chains. This is made possible with highly accurate real-time operational visibility and Transport Process Automation™ to streamline transportation processes, reduce latency and improve operational efficiency. Their Multimodal Visibility Network integrates with more than 1,000 TMS, telematics and ELD systems, enabling Shippeo’s platform to provide instant access to real-time shipment tracking across all transport modes, in a single portal, through an intuitive user experience. A proprietary and industry-leading machine learning algorithm offers unmatched ETA accuracy, allowing supply chain companies to quickly anticipate problems, proactively alert customers, efficiently manage exceptions with collaborative workflows, and GHG emissions from supply chain transport. Hundreds of customers, including global brands like Ahold Delhaize, AkzoNobel, Amazon, Avery Dennison, Bosch Siemens Hausgeräte, Carrefour, Coca-Cola HBC, Jaguar Land Rover, Heineken, Kuehne+Nagel, L’Oréal, LVMH, Renault Group, Sabic, Saint-Gobain, Siemens Energy and XPO Logistics, trust Shippeo to track more than 32 million shipments per year across 110 countries. Learn more at www.shippeo.com









