Industry/Sector
Not Applicable
Specialism
Data, Analytics & AI
Management Level
Manager
Job 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.
Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s 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.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
- Analyse and identify the linkages and interactions between the component parts of an entire system.
- Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
- Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
- Develop skills outside your comfort zone, and encourage others to do the same.
- Effectively mentor others.
- Use the review of work as an opportunity to deepen the expertise of team members.
- Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
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 architect and deliver highly scalable, cloud-based enterprise data solutions. As a Manager you will lead teams and manage client accounts, focusing on strategic planning and mentoring junior staff, while securing project success and maintaining elevated standards. This role offers the chance to leverage your knowledge in cloud technologies and data engineering to drive innovation and deliver exceptional results for our clients.
Responsibilities
- Design and implement scalable cloud-based data solutions
- Lead project teams and manage client relationships
- Mentor junior staff and promote professional growth
- Maintain adherence to project timelines and quality standards
- Analyze data engineering challenges and propose creative solutions
- Collaborate with cross-functional teams to enhance service delivery
- Utilize cloud technologies to drive productivity and effectiveness
- Foster a culture of continuous improvement and knowledge sharing
What You Must Have
- Bachelor's Degree
- 7 years of experience in data engineering
- Oral and written proficiency in English required
What Sets You Apart
- 7-12 years of experience
- Experience in architecting scalable cloud data solutions
- Guiding teams in data modeling and performance optimization
- Skilled in AWS, Azure, or GCP data technologies
- Hands-on experience with Snowflake and ETL tools
- Knowledge of Big Data frameworks like Hadoop and Spark
- Experience with AWS Streaming Services
- Certification on AWS Architecture desirable
- Business knowledge in Financial Services or Healthcare
Travel Requirements
Not Specified
Job Posting End Date
