Senior Software Engineer, Data

About the Role

As a Senior Software Engineer Data you will contribute directly to Logwards core product mission by designing and building the data backbone that powers our No-Code Data Platform enabling users worldwide to ingest model transform validate monitor and operationalise data workflows without writing a single line of code. Working at the intersection of backend engineering and data systems you will partner with product managers architects frontend engineers and QA teams to ship scalable enterprise-ready platform capabilities that drive real-world supply chain clarity.

Location & Work Model:

Location: Based in Bengaluru India.

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

Function: Engineering Data Platform

Key responsibilities

• Design & Build the Data Backbone: Architect and develop core platform capabilities for data ingestion schema management mapping transformation validation orchestration monitoring and operational workflows all in a no-code paradigm.
• Deliver Scalable Backend Services: Build robust APIs background workers and execution engines using Python TypeScript Go or equivalent following clean well-tested and production-ready engineering standards.
• Develop Configuration-Driven Frameworks: Create metadata-driven systems that allow users to define pipelines business rules and data mappings through configuration rather than code enabling broad enterprise adoption without engineering dependencies.
• Enable High-Performance Data Processing: Leverage distributed processing frameworks (e.g. Apache Spark Apache Flink) to build high-throughput ingestion and transformation capabilities supporting structured semi-structured and flat-file formats (JSON XML CSV EDI APIs).
• Build Platform Observability: Implement execution logs audit trails data lineage tracking error handling retry mechanisms SLA monitoring and data quality checks to ensure reliability at scale.
• Contribute to AI-Assisted Capabilities: Help shape and build AI-agent features including schema inference mapping recommendations anomaly detection and pipeline troubleshooting with robust tool orchestration validation guardrails and human-in-the-loop review.
• Champion Engineering Excellence: Conduct design reviews mentor peers uphold code quality standards and contribute to a team culture centred on ownership robustness and continuous improvement.

Qualifications :

• Proven backend engineering capability experience building scalable APIs workers orchestration layers or execution engines in Python TypeScript Go or comparable languages with strong object-oriented design and clean coding practices.

• Deep data engineering fundamentals solid understanding of data ingestion transformation validation orchestration metadata management and data quality monitoring.

• Database proficiency hands-on experience with relational databases (PostgreSQL MySQL) and NoSQL technologies (MongoDB Redis or similar). 

• Data format & integration fluency familiarity with structured semi-structured and flat-file formats (JSON XML CSV EDI) and RESTful API integration including async processing message queues and idempotency patterns.

• Workflow orchestration experience practical use of tools such as Apache Airflow or equivalent platforms.

• Collaborative product-oriented mindset ability to translate complex product requirements into reusable configurable platform features while working effectively across engineering product and design functions.

Preferred Qualifications (Nice-to-Haves)

• Experience with no-code/low-code platforms ETL tooling rule engines workflow automation systems data catalogs or schema registries.

• Exposure to AI/LLM product development including agents function calling RAG pipelines structured outputs evaluation frameworks and enterprise guardrails.

• Understanding of modern data architectures data warehouses data lakes lakehouses and open table formats such as Apache Iceberg Hudi or Delta Lake.

• Familiarity with cloud-native development Kubernetes distributed workers event-driven architectures or object storage.

• Knowledge of data contracts schema evolution backward compatibility data lineage tenant isolation and enterprise-grade security and auditability practices.

• A degree in Computer Science Software Engineering or a related technical discipline.

Additional Information :

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

1. Preliminary call with a Talent Acquisition Manager

2. Technical Round 1: Coding & Data Engineering Fundamentals

3. Technical Round 2: Advanced Data Engineering & System Design

4. Techno-Fitment round with the Hiring Manager

5. Final interview 

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 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.

Remote Work :

No

Employment Type :

Full-time