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.

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems.

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.

As a Data Engineer (Developer) Manager within the Data Enablement Competency, you will lead the development and optimisation of data pipelines, ensuring the smooth flow of data across the organisation. You will oversee the implementation of DevOps practices and manage deployment processes to ensure data quality and efficiency. You will also play a key role in mentoring team members and collaborating with stakeholders to ensure successful project delivery. Your role will balance technical delivery with leadership responsibilities.

Key Responsibilities:

Lead the design, development, and maintenance of data pipelines to support seamless data flow within the organisation.

Implement and manage testing and deployment processes to ensure data reliability and integrity.

Oversee DevOps practices, including continuous integration/continuous deployment (CI/CD) pipelines, version control, and automated testing.

Supervise the quality assurance of code and data processes, ensuring alignment with industry best practices.

Mentor and guide team members on data engineering techniques and DevOps practices.

Collaborate with stakeholders to gather requirements and ensure alignment on project objectives.

Manage Agile project delivery, including sprint planning, backlog management, and project updates.

Monitor and optimise data pipelines for performance and scalability.

Stay informed of emerging technologies and best practices in data engineering and DevOps.

Qualifications:

Bachelor's degree in Computer Science, Information Systems, or a related field.

Strong experience in data pipeline development and DevOps, particularly within AWS and Microsoft platforms.

Proficiency in SQL, ETL processes, and data warehousing.

Python advantageous.

Knowledge of CI/CD pipelines, infrastructure as code (IaC), and version control systems.

Proven experience in leading data engineering projects and managing a team.

Experience with Agile project delivery methodologies.

Excellent communication, teamwork, and leadership skills.

Ability to manage multiple tasks and projects concurrently.

Familiarity with data governance and data security best practices.

Travel Requirements

Up to 20%

Available for Work Visa Sponsorship?

No

Job Posting End Date

January 2, 2025