Staff Data Engineer

Establish and maintain Microsoft Fabric architecture, including:

Lakehouse and/or Warehouse

Dataflows Gen2

OneLake data organization

Manage Fabric capacities, workspaces, and permissions

Monitor performance, cost, and reliability of Fabric workloads

Develop and maintain Python-based data transformations and notebooks within Fabric

Use Python for data preparation, enrichment, validation, and advanced analytics

Define and enforce data modeling and medallion architecture standards

Define Dev/Test/Prod environment strategy for reporting and automation platform

Implement Application Life best practices (solutions, pipelines, source control where applicable)

Establish governance standards to prevent platform sprawl

Partner with security and IT teams on access control and compliance

Provide guidance and enablement to analysts and citizen developers

Translate business requirements into scalable technical solutions

Contribute to platform roadmap and continuous improvement efforts

Design and deliver agentic AI solutions that automate multi-step business workflows (tool use, planning, and human-in-the-loop approvals) using enterprise data and governed actions.

Build RAG (retrieval-augmented generation) patterns over Fabric/OneLake (document ingestion, chunking, embeddings, retrieval evaluation) to power analytics copilots and self-service Q&A.

Develop and operate ML pipelines (feature engineering, training, evaluation, batch/real-time inference) using Python and approved ML frameworks.

Establish LLMOps/ModelOps practices: prompt/version control, offline evaluation, regression testing, monitoring (quality, drift, cost, latency), and safe rollback.

Implement AI security and governance : data access controls, prompt/data leakage prevention, PII handling, model risk reviews, and audit logging for agent actions.

Partner with stakeholders to identify high-value use cases and deliver measurable outcomes (time saved, defect reduction, SLA improvements).

At Pearson, our purpose is simple: to help people realize the life they imagine through learning. We believe that every learning opportunity is a chance for a personal breakthrough. We are the world's lifelong learning company. For us, learning isn't just what we do. It's who we are. To learn more: We are Pearson.

Pearson is an Equal Opportunity Employer and a member of E-Verify. Employment decisions are based on qualifications, merit and business need. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status or any other group protected by law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

If you are an individual with a disability and are unable or limited in your ability to use or access our career site as a result of your disability, you may request reasonable accommodations by emailing TalentExperienceGlobalTeam@grp.pearson.com.

Job: Engineering

Job Family: TECHNOLOGY

Organization: OCTO