Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data, Analytics & AIManagement Level
AssociateJob Description & 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.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 OneLake to 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 (PySpark/Pandas/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: 4–6 years 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 DevopsOptional 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 SpecifiedAvailable for Work Visa Sponsorship?
NoGovernment Clearance Required?
NoJob Posting End Date
April 7, 2026