PWC

Tax Innovation & Delivery Experience - Data Engineering - Manager

PWC$99K — $266K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree required.
  • Minimum of 4 years of relevant experience.
  • Proficiency in Azure Data Factory and Microsoft Databricks is essential.
  • Strong background in data architecture development and integration.
  • Experience implementing data security best practices.

Responsibilities

  • Design and develop data infrastructure for efficient processing and analysis.
  • Implement data pipelines and solutions for actionable insights.
  • Utilize Azure technologies for scalable engineering solutions.
  • Manage database administration to optimize data performance.
  • Lead teams in strategic planning and data-driven initiatives.

Benefits

  • Medical, dental, and vision coverage.
  • 401k plan with company match.
  • Generous holiday pay and vacation policy.
  • Personal and family sick leave.
  • Access to an annual discretionary bonus.
Full Job Description
Industry/Sector
Not Applicable

Specialism
Data Engineering

Management Level
Manager

Job Description & Summary
The Opportunity

As a Tax Innovation & Delivery Experience - Data Engineering - Manager, 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. As a Manager, you will lead teams and manage client accounts, focusing on strategic planning and mentoring junior staff. You are accountable for confirming project success and maintaining standards. Enhancing your leadership style, you motivate, develop, and inspire others to deliver quality. You are responsible for coaching, leveraging team members' unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.

In this role within our Tax practice, you will transform raw data into actionable insights, enabling informed decision-making and driving business growth. You will have the opportunity to work with advanced technologies and techniques, contributing to the development of robust data solutions for clients. This position offers a dynamic environment where you can develop skills outside your comfort zone and encourage others to do the same, all while upholding PwC's quality standards.

Responsibilities

- Designing and developing data infrastructure and systems to facilitate efficient data processing and analysis
- Implementing data pipelines, integration, and transformation solutions to convert raw data into actionable insights
- Utilizing Azure Data Factory and Databricks Unified Data Analytics Platform for scalable data engineering solutions
- Developing data architecture and modeling strategies to support business growth and informed decision-making
- Managing database administration and optimization to enhance data quality and performance
- Applying database security best practices to safeguard data integrity and compliance
- Leading teams in strategic planning and execution of data-driven initiatives
- Coaching and mentoring team members to leverage their strengths and deliver quality outcomes
- Analyzing system components to identify linkages and interactions for improved data solutions
- Encouraging innovation and embracing technology to enhance delivery and client service expectations

What You Must Have

- At least a Bachelor's degree
- At least 4 years of experience

What Sets You Apart

- Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics
- Excelling in data architecture development and data integration
- Utilizing Azure Data Factory and Microsoft Azure Databricks
- Developing and optimizing data pipelines and data warehouses
- Implementing data anonymization and data security best practices
- Leading teams in agile scalability and strategic questioning
- Mentoring others in data engineering platforms and tools

Travel Requirements
Up to 20%

Job Posting End Date

The salary range for this position is: $99,000 - $266,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

About PWC

PwC is a multinational professional services network of firms headquartered in London, United Kingdom, operating as partnerships under the PwC brand. PwC ranks as the second-largest professional services network in the world and is considered one of the Big Four accounting firms, along with Deloitte, EY and KPMG. PwC firms operate in 157 countries, 742 locations, with 276,000 people. As of 2020, 26% of the workforce worked in the Americas, 26% in Asia, 32% in Western Europe, 5% in Middle East and Africa and 11% in Central and Eastern Europe and Central Asia.
Learn more about PWC
Size
284,000 employees
Industry
Founded
1998

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