Senior Software Engineer, Data

Company Description 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.* Founded in 2014, Shippeo is a leading European SaaS company transforming supply chain visibility. With a global presence and multicultural team of 27 nationalities operating across Europe, North America, and Asia, we offer real-time multimodal transportation visibility to top industry leaders across various sectors. Our ambition is to become the world's leading supply chain data platform, using predictive AI, high-quality real-time data, and a robust partner network to enhance customer experience and operational excellence. Learn more about our mission and values on our website: https://www.shippeo.com/en/company/about\-us ___

About the role Logward, a Shippeo company, is looking for a Senior Software Engineer, Data to join its core product development team in Bengaluru. You will help build Logward's No-Code Data Platform, creating reusable product capabilities that enable users to ingest, model, transform, validate, monitor, and operationalize data workflows without writing code. This is a backend product engineering role, not a customer implementation or data integration delivery role. You will work with product managers, architects, frontend engineers, and QA engineers to build reliable, configurable, observable, and enterprise-ready platform capabilities.

Location & Work Model:

• Location: Bengaluru
• Work Model: Hybrid (4 days per week in-office)

Application Requirement: As we operate internationally,

we kindly request all candidates to submit their CV in English . Applications submitted in other languages cannot be considered.

• Contract Type: Full-time, Permanent – Individual Contributor
• Function: Engineering, Data Platform

Key Responsibilities

• Design and develop the core data backbone for Logward's No-Code Data Platform.
• Build reusable capabilities for ingestion, parsing, schema management, mapping, transformation, validation, orchestration, monitoring, and operational workflows.
• Develop scalable backend services, APIs, workers, and execution engines using Python, TypeScript, Go, or similar technologies.
• Build configuration-driven and metadata-driven frameworks that allow users to define pipelines, mappings, validations, and business rules without writing code.
• Use distributed processing frameworks such as Apache Spark, Apache Flink, or similar technologies.
• Support ingestion of structured, semi-structured, and flat-file data, including JSON, XML, CSV, fixed-width files, EDI, APIs, and database sources.
• Implement transformations such as lookups, joins, enrichments, calculations, conditional logic, aggregations, normalization, and format conversions.
• Build observability capabilities including execution logs, audit trails, lineage, error tracking, retry handling, SLA monitoring, and data quality checks.
• Contribute to AI-assisted capabilities such as schema inference, mapping suggestions, transformation recommendations, anomaly detection, error explanation, and pipeline troubleshooting.
• Design safe AI-agent workflows with tool orchestration, structured outputs, validation layers, guardrails, audit logs, and human review.
• Convert product requirements into architecture, technical designs, and production-ready code, while contributing to design reviews, testing, debugging, and production readiness.
• Collaborate with product, engineering, and design teams to build robust, user-friendly, extensible, and scalable platform features.

What We’re Looking For

• Bachelor's degree in Computer Science, Engineering, or a related technical discipline.
• At least 4 years of experience as a Software Engineer, Backend Engineer, Data Platform Engineer, or in a comparable product-focused engineering role.
• Proficiency in Python, TypeScript, Go, or similar programming languages, with a strong grasp of object-oriented design, clean coding practices, testing, debugging, and performance tuning.
• Hands-on experience developing backend systems, APIs, background workers, orchestration layers, or execution engines for scalable applications.
• Strong knowledge of data engineering fundamentals, including ingestion, transformation, validation, orchestration, data quality, metadata management, and monitoring.
• Experience with relational databases such as PostgreSQL or MySQL, and NoSQL technologies such as MongoDB or Redis.
• Familiarity with JSON, XML, CSV, fixed-width files, EDI, RESTful APIs, asynchronous processing, message queues, retries, idempotency, and error handling.
• Understanding of data warehouses, data lakes, lakehouses, and open table formats such as Apache Iceberg, Hudi, or Delta Lake.
• Familiarity with CI/CD, GitHub, Docker, cloud-native development, and workflow orchestration tools such as Airflow.
• Exposure to AI and LLM product capabilities, including agents, tool calling, structured outputs, RAG, evaluation frameworks, prompt management, and enterprise guardrails.
• A product-oriented mindset and the ability to translate requirements into scalable, reusable, and configurable platform features.
• Ability to work independently, collaborate across teams, mentor peers, and uphold strong engineering practices.

Preferred (Not Required)

• Experience designing rule engines, expression evaluators, workflow engines, schema registries, or metadata-driven systems.
• Experience with data contracts, dataset versioning, backward compatibility, schema evolution, and data lineage.
• Understanding of security, tenant isolation, permission-aware execution, auditability, and data privacy in enterprise SaaS products.
• Experience with Kubernetes, object storage, distributed workers, event-driven architectures, or AI-driven data products.

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 Our hiring process includes the following steps: 1. Preliminary call with a Talent Acquisition Manager 2. First interview with the Hiring Manager 3. Case study interview or technical assessment 4. 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 inclusion@shippeo.com 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.