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Data engineer

Melbourne
Pwc Australia
Posted: 16 September
Offer description

Overview
Data Engineer | Manager | Data & AI role at PwC Australia.
The Data & AI team is expanding.
You will design, build, maintain scalable data pipelines and data architecture, collaborating with cross-functional teams to translate business challenges into data-driven solutions.
What you'll do
Lead architecture and implementation of scalable, high-performance data pipelines; optimize ETL/ELT processes using Spark, Hadoop and Kafka.
Manage complex data integration from various sources; ensure real-time data flow and reliability across cloud platforms (AWS, Azure, GCP).
Design and optimize data warehouse solutions with advanced modelling for structured and unstructured data.
Oversee automation and monitoring of data workflows using Python, Scala, and Kubernetes.
Collaborate with cross-functional teams to align data architecture and integration strategies within technology infrastructure.
Manage a team of data engineers, providing mentorship and overseeing project deliverables.
What we're looking for
Experience: 4+ years delivering data pipelines in a business environment.
Analytical skills: strong problem-solving and analytical mindset.
Communication: ability to convey technical concepts to non-technical stakeholders.
Team player: ability to work collaboratively.
Technical skills:Strong programming in Python.
Extensive experience with cloud platforms (AWS, Azure, GCP, Databricks or Snowflake).
Solid understanding of data engineering concepts (SQL, ETL/ELT, distributed systems, metadata-driven data engineering, orchestration).
Proficiency with big data technologies like Hadoop, Spark, Kafka.
Experience with metadata-driven pipelines and tools such as Jinja and DBT.
What you'll gain
Opportunity to work with leading organisations and cutting-edge technology.
Flexible work arrangements to balance work and life while delivering for clients.
Clear career progression with continuous learning and leadership development.
Generous leave entitlements including four weeks' annual leave and flexible public holidays.
Parental leave policy offering up to 26 weeks for caregivers.
Ready to grow here and go further?
Apply now and join PwC Australia as a Data Engineer to make an impact beyond the expected.
PwC is committed to fair treatment of all applicants; you can request adjustments in the recruitment process for accessibility.
No Agencies Please: Recruitment agencies should not submit CVs in response to this advertisement.
We are only accepting applications direct from individuals.
663220WD
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Industries
Business Consulting and Services
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