Data Engineer | Senior Manager | Data & AI
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About the Role
Why PwC?
At PwC Australia, your skills meet purpose. We tackle big challenges across industries like finance, technology, energy, and health—giving you the chance to make a real impact. Here, your growth is our priority. You’ll work with leading teams, explore new technologies, and unlock your full potential.
Join a global community of more than 370,000 people who value bold ideas, collaboration, and lasting change. Together, we’re building trust and shaping the future.
What you’ll do:
Drive the strategic design and execution of robust, scalable data architecture, leveraging advanced ETL/ELT frameworks across distributed systems.
Spearhead integrations of complex data ecosystems, ensuring high reliability and performance for real-time processing across leading cloud platforms.
Architect high-quality, efficient data warehouse solutions using cutting-edge modelling techniques, optimizing storage and retrieval of big data.
Lead automation initiatives, overseeing integration of machine learning models into data workflows through efficient programming in Python and Spark.
Utilise industry knowledge and technical expertise to align data engineering practices with business objectives, maximizing organisational impact and innovation.
Lead and mentor a team of data engineers, fostering innovation and excellence.
Strategically align data initiatives with business goals and collaborate with cross-functional teams
Demonstrable leadership experience with a track record of managing large-scale data engineering projects.
What we’re looking for:
Experience: Experience delivering data pipelines in a business environment.
Analytical Skills: Strong problem-solving abilities and a keen analytical mindset.
Communication Skills: Ability to convey technical concepts clearly to non-technical stakeholders.
Team Player: Ability to work collaboratively in a team-oriented environment.
Technical skills:
Strong programming skills in Python.
Extensive experience with cloud platforms (AWS, Azure, GCP, Databricks or Snowflake).
Solid understanding of data engineering and pipelines (SQL, ETL/ELT, distributed systems), metadata driven data engineering, and orchestration services.
Proficiency in big data technologies like Hadoop, Spark, and Kafka.
Ability to work with metadata driven data engineering pipelines and tools such as jinja and DBT.
What you’ll gain:
Leadership development programs and executive coaching designed to help you inspire teams and accelerate your career growth.
A world-class parental leave policy offering up to 26 weeks of leave for caregivers, supporting your family and personal life.
Flexibility means trusting you to choose when, where, and how you work—balancing what’s best for you, your team, and your clients to grow and thrive together.
Being part of a community united by purpose, delivering impact that reaches clients, communities, and the future you’re shaping.
We know that perks are as important as your financial rewards. Explore all the benefits that PwC has to offer here.
Ready to grow here and go further? Join PwC Australia as a Data Scientist and make an impact that goes beyond the expected. Apply now and take your next step with a team shaping the future.
We’re committed to treating all our job applicants fairly and with respect, irrespective of their actual or assumed background, disability, neurodivergence, or any other protected characteristic. We want you to have every opportunity to thrive in our selection process. In the application form, you can let us know what adjustments you require during our recruitment process and/or any workplace accommodations you anticipate needing to help you perform your role.
No Agencies Please: We kindly request that recruitment agencies do not submit CVs in response to this advertisement. We are only accepting applications direct from individuals.
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