Senior Data Integration Engineer - Bangalore

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
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

Employment type
Full-time

Work arrangement
Hybrid