Senior Data Integration Engineer - Bangalore

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.*

As 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

We seek highly autonomous and self-directed professionals who thrive in an engineering environment that balances technical excellence with collaborative leadership.

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.

Requirements

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.

Nice to have

Familiarity with basic cloud computing principles, preferably AWS services.; Prior experience in the Supply Chain, Logistics, or SaaS enterprise software sector

Benefits

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.; 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