Line of Service
Advisory
Industry/Sector
Not Applicable
Specialism
Data, Analytics & AI
Management Level
Associate
& Summary
At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.
In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.
As the Staff Data Platform Engineer in the Cyber Data Platform team, you will be key in designing, developing, and deploying a scalable data platform that empowers users to create advanced analytics, machine learning, and GenAI solutions to enhance our security defences. You will lead architectural decisions, guide technical direction, and mentor the engineering team to deliver high quality data services.
Responsibilities:
Fabric Platform Development:Design and implement Lakehouse, Data Warehouse, and Data Engineering solutions within Microsoft Fabric.
Data Pipeline Construction:Build, maintain, and optimize scalable end-to-end data pipelines using Fabric Data Factory (Dataflows Gen2/Pipelines).
Transformation & Processing:Utilize PySpark, Spark SQL, and SQL for data manipulation and transformation.
Data Architecture:Implement Medallion Architecture (Bronze/Silver/Gold) to ensure data quality and structure.
Data Virtualization & Storage:Use Fabric Shortcuts and OneLaketo manage data without moving it.
Real-time Analytics:Implement real-time streaming data ingestion using Fabric Real-Time Hub, KQL Database, and Eventstream
Governance & Security:Implement data security, quality checks, and governance principles.
2. Technical Skill Requirements
Core Fabric:Deep knowledge of Microsoft Fabric components: OneLake, Lakehouse, Data Factory, Notebooks, and Data Warehouse.
Azure Data Stack:Proficiency in Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.
Languages:Strong Python ( PySparkPandas/Polars) and SQL skills.
Data Modeling:Expert in dimensional modeling (Star Schema) and DAX for semantic models.
DevOps:Experience with CI/CD for data pipelines and workspace deployment pipelines
3. Qualifications
Experience:4–6years in data engineering, data warehousing, or analytics engineering.
Certifications:Microsoft Certified: Fabric Data Engineer Associate (DP-700) is highly preferred, replacing the older DP-203
Mandatory Skill sets:
Databricks on Azure or GCP BigQuery,Python, Devops, CICD
Preferred skill sets:
Gen AI
Years of Experience Required:
6-9 Yrs
Education Qualification
B.E,B.Tech,M.E,MCA,M.Tech
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Master of Engineering, Bachelor of EngineeringDegrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Required Skills
Azure Devops
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline, Data Preprocessing, Data Quality {+ 33 more}
Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not Specified
Available for Work Visa Sponsorship?
No
Government Clearance Required?
No
Job Posting End Date
July 23, 2026
At PwC, we help clients drive their companies to the leading edge. We’re a tech-forward, people-empowered network with more than 370,000 people in 149 countries. Across audit and assurance, tax and legal, deals and consulting we help build, accelerate and sustain momentum. Find out more at www.pwc.com.
PwC: Audit and assurance, consulting and tax services
PwC refers to the PwC network and/or one or more of its member firms, each of which is a separate legal entity. Content on this page has been prepared for general information only and is not intended to be relied upon as accounting, tax or professional advice. Please reach out to your advisors for specific advice.
