[Hiring] Data Engineer @Jack Morton Worldwide

Role Description

Jack Morton is seeking a Data Engineer to help build out the data spine for an AI-enabled event intelligence platform. The role will focus on creating secure and scalable processes to connect operational systems, unstructured project documentation, and data from third-party platforms into existing data warehousing infrastructure. The successful candidate will help transform fragmented agency knowledge into governed, searchable, AI-ready assets while ensuring adherence to privacy, retention, and client-specific data requirements.

Key Responsibilities

• Create a structured data layer to integrate and model structured data from API enabled sources such as CRM systems, Azure databases, event attendance systems, survey platforms, and financial warehouses.
• Create ingestion pipelines for the unstructured knowledge layer that includes PowerPoint presentations, Word documents, and unstructured Excel spreadsheets.
• Build an AI-Ready document infrastructure that can classify documents, handle versioning, track provenance, and manage metadata, auditability, and permissioning.
• Implement frameworks for strictest confidentiality and privacy protections, including access controls and security roles, consent tracking, data retention, and data deletion management.
• Work with members of the Jack Morton team to clearly communicate limitations, timeline expectations, out-of-pocket cost expectations, and repercussions to platform design.
• Participate in planning discussions on platform roadmap with Jack Morton team members.

Qualifications

• Strong experience in Python
• Strong experience in SQL
• Data Modeling
• Data Warehousing (Snowflake experience is desirable)
• ETL or ELT development
• API Integrations
• Batch and event-driven pipelines

Requirements

• Understanding of metadata extraction
• Understanding of OCR workflows
• Understanding of semantic indexing
• Understanding of vector databases
• Understanding of Retrieval-Augmented Generation (RAG)
• Understanding of chunking strategies
• Understanding of document classification
• Understanding of embedding pipelines
• Experience with PII handling and understanding of GDPR implications
• Experience with data pseudonymization
• Experience with data lineage
• Experience with retention policies
• Experience with audit logging
• Experience with data access controls

Platform and Tooling

• Snowflake
• AWS
• Bedrock
• AWS Cognito
• AWS S3
• AWS Lambda
• AWS DynamoDB

Experience Required

• Azure or Snowflake data warehousing
• Document ingestion and RAG experience
• Data governance and security
• Modern data modeling skills
• API integration
• Data pipelines for unstructured documentation
• Experience explaining technical infrastructure to non-technical teams

Experience Preferred

• LLM model building
• Understanding of event and experiential marketing
• Experience working with a project-based business

First 90 Days

Within the first 90 days, the data engineer should be integrated into the platform team. They should have delivered a proposal for their plan for the data spine and should be beginning to build out the initial processes to bring it to life.

Job Scam Alert

We have recently become aware that individuals not associated with Jack Morton have fraudulently used our name – and the names of some of our employees – to solicit applications for fake jobs, conduct fake job interviews, and make fake job offers. Any request to schedule an interview and any bona fide offer of employment will only come from an authorized representative of Jack Morton with an email address “@jackmorton.com” or “@jackmorton.co.uk” or "@impact-xm". We will never require an applicant to provide credit card or banking information to cover any supposed advance costs. If you have provided personal information in connection with a fake job offer or interview and you are concerned, we suggest that you take appropriate action. Jack Morton takes these activities very seriously and are taking appropriate steps to shut down this fraudulent activity. We urge you to be careful when sharing your personal information and to be aware of scams involving fake job postings and job offers.