
1001 - 5000 employees
Founded 1847
📦 Logistics
🚗 Transport
🤝 B2B
Logistics • Transport • B2B
Inchcape Shipping Services is a global maritime services company that provides port and ship agency, marine and husbandry services, bunker and protective agency, canal transit support, dry docking and machinery services, survey & inspection, and project logistics. The provided site text lists offerings such as Port Agency, Protective Agency, Bunker Agency, Canal Transit, Husbandry Services, Dry Docking, Marine Services, Machinery Services, Survey & Inspection, Project Logistics, Marine Supply Chain, and regional hubs (OneCape Hub), indicating a worldwide network serving commercial shipping and maritime customers. Inchcape acts chiefly as a B2B service provider to shipowners, operators and other maritime stakeholders.
🕒 August 25
Where this job comes from
Posted on Inchcape Shipping Services's careers page, not through a job board
First seen by Remote Rocketship August 25
Still open on Inchcape Shipping Services's site. Checked 3 hours ago.

1001 - 5000 employees
Founded 1847
📦 Logistics
🚗 Transport
🤝 B2B
Logistics • Transport • B2B
Inchcape Shipping Services is a global maritime services company that provides port and ship agency, marine and husbandry services, bunker and protective agency, canal transit support, dry docking and machinery services, survey & inspection, and project logistics. The provided site text lists offerings such as Port Agency, Protective Agency, Bunker Agency, Canal Transit, Husbandry Services, Dry Docking, Marine Services, Machinery Services, Survey & Inspection, Project Logistics, Marine Supply Chain, and regional hubs (OneCape Hub), indicating a worldwide network serving commercial shipping and maritime customers. Inchcape acts chiefly as a B2B service provider to shipowners, operators and other maritime stakeholders.
• Design, build and maintain data ingestion and transformation pipelines populating Inchcape’s central data platforms • Ingest raw data from ERP, CRM, operational, financial and third-party sources into Microsoft Fabric Lakehouse (OneLake) using Delta Lake/Parquet • Implement data quality standards and controls, incremental loading, CDC and error handling • Create bronze, curated silver and gold tables by transforming, cleansing and conforming raw data • Document data lineage and transformations • Optimise performance through partitioning, clustering and tuning of Microsoft Fabric, SQL and Spark workloads • Monitor pipeline health and costs • Collaborate with Data Architects, Modellers and Data BAs on schemas, naming conventions and integration patterns • Build reusable components, templates and automation scripts using Fabric Dataflows Gen2, Spark notebooks or equivalent tools • Maintain metadata and sensitivity labels via Purview and ensure access controls and compliance • Research and evaluate Microsoft Fabric features and patterns and recommend adoption • Reduce total operational cost through economical and optimised data integration techniques • Apply resilience, availability and security standards according to agreed NFR metrics • Deliver automated, documented ingestion pipelines with monitoring and alerting • Produce high-quality conforming bronze, silver and gold data assets for self-service • Produce performance benchmarks and tuning reports • Contribute to ingestion templates, best-practice guides and knowledge sharing • Create low-level designs for data pipelines and data integration assets
• 8+ years in data engineering or data integration roles • Experience working with SQL, Python and/or Scala • Experience with ETL/ELT patterns, CDC, incremental loading and data warehousing principles using Microsoft Fabric • Practical experience with Delta Lake, Lakehouse/Medallion architecture and cloud data platforms (Azure and AWS) • Proficiency building pipelines with MS Fabric Dataflows Gen2, Spark/SQL notebooks or equivalent tools • Experience with data quality frameworks and monitoring/observability tools • Ability to collaborate across teams and communicate technical concepts to non-engineers • Bachelor's degree in computer science, engineering or related discipline • Azure Data Engineering certification is mandatory • Satisfactory references required • Valid Right to Work documentation required, depending upon geographical location
• Contract opportunity for 3–4 months, extendable according to business need • Training and expertise development • Diverse and inclusive workforce • Equal opportunities employer • Opportunity to build a rewarding career in a dynamic industry
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