Data Engineer: AI-Ready, Secure Pipelines

Jack Morton Worldwide Inc.; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Jack Morton Worldwide Inc. is seeking a Freelance Data Engineer to help build the data spine for an AI-enabled event intelligence platform.

The role focuses on creating secure, scalable processes to connect operational systems, unstructured documentation, and third-party data into existing data warehousing infrastructure. The successful candidate will transform fragmented agency knowledge into governed, AI-ready assets while ensuring privacy, retention, and client-specific data requirements,

Qualifications

• Role requires building secure, scalable data pipelines for an AI-enabled platform.
• Experience with data ingestion from API sources and unstructured docs.
• Knowledge of data governance, privacy, and retention requirements.

Responsibilities

• Create a structured data layer integrating data from API-enabled sources (CRM, Azure, event systems, surveys, finance).
• Build ingestion pipelines for unstructured knowledge (PowerPoint, Word, Excel).
• Develop AI-ready document infrastructure with classification, versioning, provenance, metadata, auditability, and permissions.
• Implement confidentiality and privacy controls including access management and data deletion policies.
• Communicate platform design limitations, timelines and costs with the team.
• Contribute to platform roadmap planning with the Jack Morton team.

Skills

Python

SQL

Data Modeling

Data Warehousing

ETL/ELT

API Integrations

Batch Pipelines

Tools

Snowflake

AWS

Bedrock

Infrastructure as Code

Job description

Jack Morton Worldwide Inc. is seeking a Freelance Data Engineer to help build the data spine for an AI-enabled event intelligence platform.

The role focuses on creating secure, scalable processes to connect operational systems, unstructured documentation, and third-party data into existing data warehousing infrastructure. The successful candidate will transform fragmented agency knowledge into governed, AI-ready assets while ensuring privacy, retention, and client-specific data requirements,