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Data Engineer
Type: Full-Time
Location: London
Narwhal's competitive advantage is our vessel-centric data layer, the structured knowledge graph that maps equipment, parts, suppliers, and workflows for every vessel in a fleet. This isn't analytics infrastructure or a data warehouse. It's the operational data foundation that makes AI agents work. You'll build the systems that ingest messy maritime data, structure it into usable form, and keep it synchronized across disconnected systems in real-time.
Department:
Engineering
Team Size:
Working hours:
Collaboration With:
What You'll Do
- Design and build the vessel-centric data architecture: the ontology that structures equipment specifications, part numbers, supplier relationships, and workflow histories
- Develop data ingestion pipelines that extract, transform, and load data from ERPs, emails, PDFs, supplier catalogs, and vessel systems
- Build entity resolution systems that map the same part across different supplier numbering schemes, customer item codes, and manufacturer specifications
- Implement data quality frameworks: validation, deduplication, consistency checks, anomaly detection
- Create the data infrastructure that enables AI agents: feature stores, embedding databases, knowledge graphs
- Build real-time data synchronization between vessels, shore offices, suppliers, and forwarders
- Develop data monitoring and observability tools: track data freshness, completeness, accuracy
- Work with engineering to optimize database performance, query patterns, and data access
Who You Are
- 4+ years data engineering experience
- Strong skills in data modeling: schemas, relationships, normalization, denormalization
- Experience building ETL/ELT pipelines, data transformation workflows, and integration systems
- Solid understanding of databases: SQL, PostgreSQL, data warehouses, NoSQL when appropriate
- Comfortable with unstructured data: PDFs, emails, inconsistent formats, missing information
- Experience with knowledge graphs, entity resolution, or data mapping is highly valuable
- Strong Python skills for data processing, transformation, and automation
- Pragmatic about data quality: you understand the tradeoffs between perfection and usefulness
- Comfortable working directly with operators and technical teams during deployments, you'll debug issues on-site and explain technical decisions in operational terms
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Nice to Have
- Experience in supply chain, logistics, or industrial operations data
- Background in document processing, OCR data cleanup, or unstructured data extraction
- Familiarity with vector databases, embeddings, or semantic search
- Understanding of maritime operations, part numbering systems, or procurement workflows
Why Join Narwhal
- Build data infrastructure that enables AI automation, not just analytics
- Work on genuinely hard data problems: messy, unstructured, inconsistent maritime data
- See your data systems powering production workflows immediately
- Direct impact: your data architecture determines what AI agents can do
- Equity stake in a company building the data backbone for global shipping
How to Apply
Send your resume and a note about why you're interested to careers@narwhal.ai
Tell Us:
- What excites you about building for maritime operations
- A hard problem you've solved that's relevant to this role
- Why you want to join at this stage
We'll respond within 48 hours.
Ready to engineer tomorrow’s business?
Apply now and help global companies turn complexity into clarity.
Design and build the vessel-centric data architecture: the ontology that structures equipment specifications, part numbers, supplier relationships, and workflow histories
Develop data ingestion pipelines that extract, transform, and load data from ERPs, emails, PDFs, supplier catalogs, and vessel systems
Build entity resolution systems that map the same part across different supplier numbering schemes, customer item codes, and manufacturer specifications
Implement data quality frameworks: validation, deduplication, consistency checks, anomaly detection
Create the data infrastructure that enables AI agents: feature stores, embedding databases, knowledge graphs
Build real-time data synchronization between vessels, shore offices, suppliers, and forwarders
Develop data monitoring and observability tools: track data freshness, completeness, accuracy
Work with engineering to optimize database performance, query patterns, and data access
4+ years data engineering experience
Strong skills in data modeling: schemas, relationships, normalization, denormalization
Experience building ETL/ELT pipelines, data transformation workflows, and integration systems
Solid understanding of databases: SQL, PostgreSQL, data warehouses, NoSQL when appropriate
Comfortable with unstructured data: PDFs, emails, inconsistent formats, missing information
Experience with knowledge graphs, entity resolution, or data mapping is highly valuable
Strong Python skills for data processing, transformation, and automation
Pragmatic about data quality: you understand the tradeoffs between perfection and usefulness
Comfortable working directly with operators and technical teams during deployments, you'll debug issues on-site and explain technical decisions in operational terms
Experience in supply chain, logistics, or industrial operations data
Background in document processing, OCR data cleanup, or unstructured data extraction
Familiarity with vector databases, embeddings, or semantic search
Understanding of maritime operations, part numbering systems, or procurement workflows
Get help with your application
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Build data infrastructure that enables AI automation, not just analytics
Work on genuinely hard data problems: messy, unstructured, inconsistent maritime data
See your data systems powering production workflows immediately
Direct impact: your data architecture determines what AI agents can do
Equity stake in a company building the data backbone for global shipping
Send your resume and a note about why you're interested to careers@narwhal.ai
Tell Us:
What excites you about building for maritime operations
A hard problem you've solved that's relevant to this role
Why you want to join at this stage
We'll respond within 48 hours.
Build the future of maritime technology with us
Talk to us about joining the Ambassador Program, integrating your systems, or partnering with Narwhal.
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