Staff Data Engineer

We are seeking an Analytics Engineer to design, build, and operate our analytics and automations as well as build of AI-powered automations and copilots using governed enterprise data. This role is responsible for delivering high-quality Power BI reporting, establishing and maintaining Microsoft Fabric and/or GCP BigQuery, and building business automations and applications using Python, Power Automate and Power Apps.

You will be part of the Cloud & Service Management organization helping to evolve our self-service analytics, scalable data architecture, and automations—while ensuring security, performance, and governance across the platform.

Shift & Work Location: The candidate will work US shift timings and remotely for the initial 6 months. From month 7 onwards, the role transitions to UK/US business hours with a hybrid working model from the office.

Write and tune DAX measures with a focus on performance and usability
Implement Power BI and Looker deployment pipelines and promote content across environments
Microsoft Fabric Platform

Establish and maintain Microsoft Fabric architecture, including:
OneLake data organization
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
Platform Governance & Operations

Partner with security and IT teams on access control and compliance
Agentic AI & ML Enablement

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.
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.
5+ years of experience in analytics, BI, or data engineering roles

- 3+ years of hands-on Power BI development experience
- Strong experience with Microsoft Fabric (Lakehouse, Warehouse, Dataflows)
- Proficient in DAX, SQL, and data modeling

~ Hands-on experience with:

- Power Automate (cloud flows, approvals, integrations)
- Power Apps (Canvas apps)
- Hands-on Python experience delivering ML or GenAI solutions in production (notebooks-to-service, APIs, scheduled jobs, or integrated automations).
- Experience implementing monitoring and testing for data/ML/GenAI systems (data quality checks, model/prompt evaluation, logging/telemetry).
- Experience managing environments, security, and deployments




- Strong understanding of data governance and analytics best practices

Experience designing enterprise-scale analytics platforms
Familiarity with Azure services (Azure SQL, Data Factory, Synapse)
Familiarity with GCP BigQuery and Looker
Experience with CI/CD concepts for Power BI and Looker
Power Platform or Microsoft analytics certifications
Experience working in a Center of Excellence (CoE) model
Experience with Azure OpenAI / Azure AI Foundry (or equivalent) and enterprise deployment patterns.
Experience with orchestration frameworks (e.g., Semantic Kernel, LangChain, Autogen) and tool/function calling.
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. We are Pearson.

Pearson is an Equal Chance Employer and a member of E-Verify. 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 [HIDDEN TEXT].

Schedule: FULL_TIME

Workplace Type: Hybrid

📌 Staff Data Engineer (Remote) (Bengaluru)
🏢 Pearson
📍 Bengaluru