Data Engineering Consultant
Contract/FTC
Shipping & Maritime Logistics
Overview
Our client, a leading organization in the global shipping industry, is seeking a Data Engineering Consultant to support the design, development, and optimization of data pipelines and analytics infrastructure. The successful candidate will help enhance data-driven decision-making across operations, fleet management, logistics, and commercial functions.
Key Responsibilities
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Design, build, and maintain scalable ETL/ELT pipelines to process operational, IoT, and logistics data.
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Develop and optimize data models to support analytics, forecasting, and reporting use cases.
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Integrate data from vessel management systems, port systems, and external maritime data sources.
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Collaborate with data scientists, analysts, and business stakeholders to translate requirements into technical solutions.
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Ensure data quality, governance, and security best practices are followed.
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Advise on architecture improvements, cloud solutions, and tooling enhancements.
Requirements
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Proven experience as a Data Engineer or Data Engineering Consultant.
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Strong proficiency in Python, SQL, and modern data pipeline frameworks (e.g., Airflow, dbt, Kafka).
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Experience with cloud platforms (AWS, Azure, or GCP) and data warehousing technologies (e.g., Snowflake, Redshift, BigQuery).
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Exposure to streaming/real-time data processing is a plus.
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Background in shipping, maritime, supply chain, or transport logistics preferred.
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Excellent communication skills and ability to work with technical and non-technical stakeholders.
Desired Attributes
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Strong problem-solving abilities
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Ability to work independently in a fast-paced environment
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Consulting mindset with stakeholder management experience