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Logward (a Shippeo company) is seeking a Senior Data Integration Engineer to play a pivotal role in accelerating engineering capabilities and shaping the technical direction of the data integration team. This role balances deep technical expertise with collaborative mentorship, initially focusing on hands-on work to ensure stability of automated pipelines. As internal AI capabilities and automation tools evolve, the position will dynamically transition into a strategic technical consulting role, engaging directly in client workshops and technical design.
Key responsibilities include:
- Writing and maintaining clean, efficient, and well-documented automated data pipelines in Python to process millions of data points
- Translating complex customer requirements into high-level technical architecture designs and converting them into working code
- Leading, coaching, and unblocking a team of junior engineers in Bangalore, managing code reviews and overseeing production releases
- Partnering with clients during project kick-off phases to gather requirements, map technical architecture, and solve edge-case integration defects
- Collaborating closely with Data Engineers and Product leads to leverage AI capabilities and internal tools, driving faster and more efficient outcomes
Logward is a pioneer in AI-powered supply chain execution workflows. As part of Shippeo—the global leader in real-time transportation visibility—Logward combines 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.
The role is based in Bangalore, India, requiring 4 days per week in the office. This is a full-time, permanent position.
Requirements:
- 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
- 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)
- Solid knowledge of coding best practices, object-oriented programming principles, data structures, and relational/non-relational database models
- Exceptional verbal and written communication skills in English
- Ability to mentor junior engineers and confidently engage with 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
