Data Engineer

Management Level

Associate

Job Description & Summary

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.

Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities.

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

• Apply a learning mindset and take ownership for your own development.
• Appreciate diverse perspectives, needs, and feelings of others.
• Adopt habits to sustain high performance and develop your potential.
• Actively listen, ask questions to check understanding, and clearly express ideas.
• Seek, reflect, act on, and give feedback.
• Gather information from a range of sources to analyse facts and discern patterns.
• Commit to understanding how the business works and building commercial awareness.
• Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements.

Job Overview:

As a Data Engineer (Developer) Associate within the Data Enablement Competency, you will be responsible for supporting the development and maintenance of data pipelines. You will work alongside senior team members to gain hands-on experience in data engineering and DevOps practices, contributing to data integration efforts and ensuring the reliability of data processes.

Key Responsibilities:

 Assist in the development and maintenance of data pipelines to support the
organisation’s data needs.
 Participate in testing and validation to ensure the accuracy and integrity of data
solutions.
 Support the implementation of DevOps practices, including CI/CD pipelines and version control.
 Assist with quality assurance processes under the guidance of senior team members.
 Collaborate with team members to gather requirements and contribute to project
delivery.
 Assist in optimising data pipelines for performance and scalability.
 Stay up to date with developments in data engineering and DevOps, learning from more senior colleagues.

Qualifications:

 Bachelor,s degree or diploma in Computer Science, Information Systems, or a related field.
 Familiarity with SQL and ETL processes.
 Python advantageous.
 Interest in learning DevOps practices, including CI/CD pipelines and infrastructure as code.
 Strong problem-solving skills with a willingness to learn.
 Good communication and teamwork abilities.
 Attention to detail and a commitment to quality.
 Familiarity with data governance and data security practices is advantageous.

Travel Requirements

Up to 20%

Available for Work Visa Sponsorship?

No

Job Posting End Date

February 8, 2025