

Line of Service
Advisory
Industry/Sector
Not Applicable
Specialism
Data, Analytics & AI
Management Level
Associate
Job 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.
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.
*Why PWC
At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more
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At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. "
Job description & summary:
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 Engineering
Degrees/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
April 7, 2026