Hewlett Packard Enterprise
Financial Services
AIDataEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“AI Data Engineer at Hewlett Packard Enterprise. Skills: Databricks, Microsoft Fabric, PySpark, SQL, Power BI. Ingest raw data from diverse sources. Transform data into analysis-ready datasets”
What You'll Achieve.
Ensure data flowing into AI models, dashboards, and business workflows is clean, governed, and well-structured; Turn insights into outcomes at the speed required to thrive; Accelerate what's next
Industry & Context.
Root-cause data anomalies
Primarily work from an HPE office
What They're Looking For.
Must Have
4 – 5 years of hands-on experience in data engineering, ETL development, or analytics engineering roles, Demonstrable experience with Databricks and/or Microsoft Fabric in a production environment, Proficiency in Power BI report and semantic model development, SQL and Python PySpark experience is required, Familiarity with Azure cloud services and DevOps practices for data pipeline deployment
Nice to Have
Exposure to Collibra or equivalent data governance / cataloguing platforms is strongly preferred
What You'll Do.
Ingest raw data from diverse sources
Transform data into analysis-ready datasets
Enforce data quality standards
Publish governed data products
Support reporting needs
Contribute to data governance initiatives
and maintain ETL/ELT pipelines
Transform raw data into clean datasets
Develop and optimize SQL and PySpark logic
Implement incremental load patterns
Prepare feature datasets for ML and LLM
and monitor data quality rules
Administer and extend Collibra platform
Build automated data quality validation frameworks
Triage and resolve data quality incidents
Maintain metadata catalogues
Build and manage Lakehouses
Leverage Fabric Notebooks and Spark job definitions
Support semantic model layer in Fabric
Develop and maintain Power BI semantic models
Build production-grade dashboards and reports
Apply Copilot-assisted authoring in Power BI and Fabric
Support self-service analytics adoption
Partner with AI Engineers to supply clean data
Contribute to design of shared data contracts
Assist with AI-assisted data tasks
How You'll Work.
Team & Collaboration
Work in close partnership with AI Engineers; Collaborate with AI Engineers to prepare feature datasets; Partner closely with AI Engineers, peer data scientists and analytics team members; Contribute to the design of shared data contracts and API schemas
Full Job Description
AI Data Engineer This role has been designed as ‘’Onsite’ with an expectation that you will primarily work from an HPE office. **Who We Are:** Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. **Job Description:** ****HPE Financial services**** is where we help organizations create the investment they need for digital transformation, in an innovative and sustainable way. We partner with customers across their entire IT asset portfolio from edge to cloud to end-user. Unique to each client’s aspirations and size, our financial and asset management solutions are anchored by best-in-class tech upcycling services. Join us redefine what’s next for you. **Role summary** We are looking for a technically sharp and detail-oriented Data Engineer to join HPEFS (Hewlett Packard Enterprises Financial Services - Advanced Analytics & BI team Bangalore. This role is the data backbone that powers our AI capabilities — working in close partnership with the AI Engineers to ensure that the data flowing into AI models, dashboards, and business workflows is clean, governed, and well-structured. This role will play a hands on role and own the backend data lifecycle: ingesting raw data from diverse sources, transforming it into reliable, analysis-ready datasets, enforcing data quality standards, and publishing governed data products via Microsoft Fabric and Data
Applying for this AI Data Engineer role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Workday
- Workday has a multi-step form — save your progress after every section.
- "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
- Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
- Job requisition numbers are useful when following up with HR by email.
ANONYMOUS · UNFILTERED
What do employees actually say about Hewlett Packard Enterprise?
Real rants from real employees. Read before you apply.