Senior Data Engineer - Semantic & Knowledge-Graph Pipelines

develop; Greater London; Hybrid; GBP 70,000 - 90,000; Full time

Benefits offered by this job

Comprehensive health benefits

Flexible working model

Pension benefits

Job summary

A fast-growing AI-native consultancy in London is seeking an experienced Data Engineer to design and build high-fidelity data pipelines aligned with semantic models. The ideal candidate will have 5–8 years of experience in data engineering, strong SQL and Python skills, and familiarity with cloud platforms like AWS, Azure, or GCP. This role offers a hybrid working model, high autonomy, and significant responsibility in shaping AI-native products and standards.

Qualifications

• 5–8 years of experience in data engineering or data platform development.
• Strong SQL and Python skills required.
• Hands-on experience with semantic and ontology-driven data models.

Responsibilities

• Design and maintain ETL/ELT pipelines aligned to ontology structures.
• Build high-quality datasets for AI systems.
• Implement robust data quality frameworks.

Skills

SQL

Python

Data pipeline design

ETL/ELT processes

Observability frameworks

Semantic enrichment

Tools

AWS

Azure

GCP

Job description

A fast-growing AI-native consultancy in London is seeking an experienced Data Engineer to design and build high-fidelity data pipelines aligned with semantic models. The ideal candidate will have 5–8 years of experience in data engineering, strong SQL and Python skills, and familiarity with cloud platforms like AWS, Azure, or GCP. This role offers a hybrid working model, high autonomy, and significant responsibility in shaping AI-native products and standards.