Line of Service AdvisoryIndustry/Sector Not ApplicableSpecialism Data, Analytics & AIManagement Level ManagerJob 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 PWCAt 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 .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: A career within….Responsibilities:Pipeline Development: Design and maintain batch and streaming ETL/ELT pipelines using Dataflow, Pub/Sub, and Dataproc.Data Warehousing: Optimize and manage BigQuery for high-performance analytics, including partitioning and clustering.Orchestration: Automate workflows using Cloud Composer (Apache Airflow).Cloud Storage & Security: Implement data storage solutions using Cloud Storage (GCS) and apply security best practices with IAM.Optimization: Monitor, troubleshoot, and optimize pipelines for performance and cost efficiency.Collaboration: Work with data scientists and analysts to support data-driven decisionsMandatory skill sets:Google Dataplex, Airflow, Big Query, Data procPreferred skill sets:Google Dataplex, Airflow, Big Query, Data procYears of experience required:2 to 10 yearsEducation qualification:Graduate Engineer or Management GraduateEducation (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor DegreeDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required Skills Good Clinical Practice (GCP)Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Coaching and Feedback, Communication, Creativity, Data Anonymization, Data Architecture, 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 {+ 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 30, 2026
