Key skills
PythonSQLPowerShellAIETLData EngineeringData LakeAnalyticsDatabricksAirflowApache AirflowHadoopAWSAmazon Web ServicesAzureAgileCommunication
About this role
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data, Analytics & AIManagement Level
Senior AssociateJob Description & Summary
At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.
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 about us.
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.
Responsibilities:
Collaborate with business stakeholders to understand Enterprise Hierarchy requirements and translate them into technical solutions using Profisee.
Design, develop, and implement MDM solutions using Profisee platform, including data modeling, entity design, and workflows.
Configure data quality rules and validation processes to ensure data accuracy and consistency.
Develop custom extensions, integrations, and automation scripts as needed to enhance Profisee functionality and meet business requirements.
Perform data profiling, cleansing, and standardization activities to improve data quality.
Provide technical support and troubleshooting assistance to users of the Profisee platform.
Collaborate with cross-functional teams to integrate Profisee Solution with other enterprise systems and applications.
Stay up to date with the latest trends and best practices in MDM and data management technologies.
Requirements:
4 years of experience working as a Developer or in a similar role, with a strong focus on MDM solutions.
Proficiency in designing and implementing MDM solutions using Profisee platform.
Hands-on experience with data modeling, entity design and workflows within Profisee.
Strong understanding of data quality concepts and experience implementing data quality rules and processes.
Experience with data integration, ETL tools, and database technologies.
Proficiency in SQL and scripting languages (e.g., Python, PowerShell) for data manipulation and automation.
Excellent analytical and problem-solving skills, with a keen attention to detail.
Strong communication and interpersonal skills, with the ability to collaborate effectively with both technical and non-technical stakeholders
Mandatory skill sets:
Profisee Developer, MDM Solutions, ETL tools, Database technologies, SQL
Preferred skill sets:
Profisee Developer, MDM Solutions, ETL tools, Database technologies, SQL
Years of experience required:
4 to 8 years
Education qualification:
Graduate Engineer or Management Graduate
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor of Technology, Bachelor of Engineering, Master of Business Administration, Master of EngineeringDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
Python (Programming Language)Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture Development, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more}Desired Languages (If blank, desired languages not specified)
Travel Requirements
Available for Work Visa Sponsorship?
Government Clearance Required?
Job Posting End Date
May 18, 2026