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.
The Opportunity
When you join PwC Acceleration Centers (ACs), you step into a pivotal role focused on actively supporting various Acceleration Center services, from Advisory to Assurance, Tax and Business Services. In our innovative hubs, you’ll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. You’ll also participate in dynamic and digitally enabled training that is designed to grow your technical and professional skills.
As part of the Data and Analytics Engineering team you will lead the transformation of business requirements into actionable data solutions within the insurance sector. As a Senior Manager, you will drive large projects, innovate processes, and secure operational excellence while collaborating with multi-level teams and stakeholders to deliver quality results.
Responsibilities
Lead the conversion of business requirements into impactful data solutions
Drive large-scale projects while maintaining quality outcomes
Innovate processes to enhance operational effectiveness
Collaborate with diverse teams and stakeholders to achieve project goals
Analyze complex data sets to identify actionable insights
Maintain a focus on delivering exceptional results for clients
Foster a culture of teamwork and open communication
Uphold industry standards and practices in data engineering
What You Must Have
Bachelors Degree
10 years of experience
Oral and written proficiency in English required
What Sets You Apart
Bachelors Degree in Engineering, Computer Science, or related field
Proven experience in Property & Casualty Insurance domain
Demonstrating hands-on experience with Guidewire data model
Excelling in data warehousing concepts and SQL
Leading teams in agile delivery methodologies
Communicating effectively with technical and business teams
Managing offshore team delivery and operations
Possessing analytical and problem-solving skills
The Opportunity
When you join PwC Acceleration Centers (ACs), you step into a pivotal role focused on actively supporting various Acceleration Center services, from Advisory to Assurance, Tax and Business Services. In our innovative hubs, you’ll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. You’ll also participate in dynamic and digitally enabled training that is designed to grow your technical and professional skills.
As part of the Data and Analytics Engineering team you will lead the transformation of business requirements into actionable data solutions within the insurance sector. As a Senior Manager, you will drive large projects, innovate processes, and secure operational excellence while collaborating with multi-level teams and stakeholders to deliver quality results.
Responsibilities
Lead the conversion of business requirements into impactful data solutions
Drive large-scale projects while maintaining quality outcomes
Innovate processes to enhance operational effectiveness
Collaborate with diverse teams and stakeholders to achieve project goals
Analyze complex data sets to identify actionable insights
Maintain a focus on delivering exceptional results for clients
Foster a culture of teamwork and open communication
Uphold industry standards and practices in data engineering
What You Must Have
Bachelors Degree
10 years of experience
Oral and written proficiency in English required
What Sets You Apart
Bachelors Degree in Engineering, Computer Science, or related field
Proven experience in Property & Casualty Insurance domain
Demonstrating hands-on experience with Guidewire data model
Excelling in data warehousing concepts and SQL
Leading teams in agile delivery methodologies
Communicating effectively with technical and business teams
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