Spencer Ogden
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with a contract length of "unknown," offering a pay rate of "unknown." Key skills include Python, SQL, and graph databases (e.g., Neo4j). Requires 3+ years of data engineering experience and knowledge graph expertise.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
June 13, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Manchester Area, United Kingdom
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🧠 - Skills detailed
#Data Engineering #Compliance #Data Pipeline #ArangoDB #HBase #Security #Data Science #Azure #ML (Machine Learning) #Data Quality #SQL (Structured Query Language) #Neo4J #Storage #"ETL (Extract #Transform #Load)" #Databases #AWS (Amazon Web Services) #GraphQL #Cloud #Graph Databases #Python #Knowledge Graph #RDF (Resource Description Framework) #Scala #Computer Science
Role description
A Data Engineer designs and maintains scalable data pipelines and storage systems, with a focus on integrating and processing knowledge graph data for semantic insights. They enable efficient data flow, ensure data quality, and support analytics and machine learning by leveraging advanced graph-based technologies.
How You’ll Make an Impact (responsibilities of role)
• Build and optimize ETL/ELT pipelines for knowledge graphs and other data sources.
• Design and manage graph databases (e.g., Neo4j, AWS Neptune, ArangoDB).
• Develop semantic data models using RDF, OWL, and SPARQL.
• Integrate structured, semi-structured, and unstructured data into knowledge graphs.
• Ensure data quality, security, and compliance with governance standards.
• Collaborate with data scientists and architects to support graph-based analytics.
What You Bring (required qualifications and skills)
• Education: Bachelor’s/master’s in computer science, Data Science, or related fields.
• Experience: 3+ years of experience in data engineering, with knowledge graph expertise.
• Proficiency in Python, SQL, and graph query languages (SPARQL, Cypher).
• Experience with graph databases and frameworks (Neo4j, GraphQL, RDF).
• Knowledge of cloud platforms (AWS, Azure).
• Strong problem-solving and data modelling skills.
• Excellent communication skills, with the ability to convey complex concepts to non-technical stakeholders.
• The ability to work collaboratively in a dynamic team environment across the globe.
A Data Engineer designs and maintains scalable data pipelines and storage systems, with a focus on integrating and processing knowledge graph data for semantic insights. They enable efficient data flow, ensure data quality, and support analytics and machine learning by leveraging advanced graph-based technologies.
How You’ll Make an Impact (responsibilities of role)
• Build and optimize ETL/ELT pipelines for knowledge graphs and other data sources.
• Design and manage graph databases (e.g., Neo4j, AWS Neptune, ArangoDB).
• Develop semantic data models using RDF, OWL, and SPARQL.
• Integrate structured, semi-structured, and unstructured data into knowledge graphs.
• Ensure data quality, security, and compliance with governance standards.
• Collaborate with data scientists and architects to support graph-based analytics.
What You Bring (required qualifications and skills)
• Education: Bachelor’s/master’s in computer science, Data Science, or related fields.
• Experience: 3+ years of experience in data engineering, with knowledge graph expertise.
• Proficiency in Python, SQL, and graph query languages (SPARQL, Cypher).
• Experience with graph databases and frameworks (Neo4j, GraphQL, RDF).
• Knowledge of cloud platforms (AWS, Azure).
• Strong problem-solving and data modelling skills.
• Excellent communication skills, with the ability to convey complex concepts to non-technical stakeholders.
• The ability to work collaboratively in a dynamic team environment across the globe.
