Senior Data Platform Engineer — Full‑Stack & Azure

Pacific Basin Shipping Limited

Hong Kong

On-site

HKD 700,000 - 1,100,000

Full time

14 days+

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Job summary

Pacific Basin is seeking a hands-on Data Platform Engineer to deliver an in-house data platform that supports commercial and operational decision-making. You will be the technical owner of data architecture, calculation engines, backend services, and core business logic, building a scalable, auditable solution integrated with Microsoft Fabric and related enterprise platforms.

You will work with the Product Engineering team on frontend, deployment, and cross-system alignment, bringing strong

Qualifications

Degree or above in Computer Science, Data Engineering, Software Engineering, Data Science, or related field.
5–8 years of experience in related fields.
Strong proficiency in Python and SQL, including production API frameworks (FastAPI, Django, or Flask).
Proven experience designing relational data models and building production-grade ETL / ELT pipelines.
Hands-on experience building and integrating REST APIs and webhooks, including authentication, signature validation, and versioning.
Experience with Azure cloud services, containerised deployment (Docker), and CI/CD.
Experience implementing complex business or financial calculation logic in production.
Strong understanding of data governance, lineage, and audit requirements.
Ability to work directly with business stakeholders to elicit and translate requirements without an intermediary.
Nice-to-Have: Microsoft Fabric and Azure data services.

Responsibilities

Design and implement core calculation and business logic engines for commercial and operational workflows.
Translate business requirements from Chartering, Operations, and Finance into functional and technical specifications.
Implement regulatory and compliance calculations relevant to the shipping industry.
Ensure full traceability and audit trail for every calculation output.
Design and maintain the relational data model underpinning the solution.
Build and maintain ETL / ELT pipelines for ingestion, transformation, and reporting.
Lead data ingestion and integration from source systems (profiling, mapping, and validation).
Apply data governance best practices — lineage, versioning, and quality controls.
Design and develop backend services and APIs.
Build integrations with internal enterprise systems and external data providers, including webhooks and secure authentication (e.g. HMAC-SHA256).
Ensure API versioning, backward compatibility, and performance SLOs.
Partner with Product Engineering on platform integration, deployment, and cross-system alignment.
Contribute independently to CI/CD, containerised deployment, monitoring, and rollback.
Ensure architectural consistency with Pacific Basin's wider data and application ecosystem.
Support UAT, deployment planning, training material, and post-go-live stabilisation.