Data Engineer Manager Data & AI

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profile Job Location:

Melbourne - Australia

profile Monthly Salary: Not Disclosed
Posted on: 30+ days ago
Vacancies: 1 Vacancy
The job posting is outdated and position may be filled

Job Summary

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Actuarial Services

Management Level

Manager

Job Description & Summary

At PwC Australia your expertise can shape better outcomes for communities businesses and the people who rely on them. Our Data & AI team is expanding and were looking for an accomplished Data Engineer to join our vast community of solvers. By joining PwCs Data & AI team you will be a key driver in shaping our data infrastructure and engineering strategies. Partnering with clients from diverse sectors you will undertake practical work with complex and diverse datasets focusing on designing building maintaining and enhancing scalable data pipelines and ensuring efficient data architecture. Your expertise will be crucial in converting business challenges into innovative data-driven solutions through collaboration with cross-functional teams.

Why PwC

At PwC Australia your skills meet purpose. We tackle big challenges across industries like finance technology energy and healthgiving you the chance to make a real impact. Here your growth is our priority. Youll work with leading teams explore new technologies and unlock your full potential.

Join a global community of more than 370000 people who value bold ideas collaboration and lasting change. Together were building trust and shaping the future.

What youll do:

  • Lead the architecture and implementation of scalable high-performance data pipelines optimizing ETL/ELT processes with tools like Spark Hadoop and Kafka.
  • Manage complex data integration from various sources ensuring real-time data flow and reliability across cloud platforms (AWS Azure GCP).
  • Design and optimise data warehouse solutions employing advanced modelling techniques and database technologies for structured and unstructured data.
  • Oversee the automation and monitoring of data workflows using languages and frameworks such as Python Scala and Kubernetes.
  • Collaborate with cross-functional teams to ensure alignment on data architecture and integration strategies within technology infrastructure.
  • Manage a team of data engineers providing mentorship and overseeing project deliverables.

What were looking for:

  • Experience: 4 years of 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 youll gain:

  • The opportunity to work with leading organisations and cutting-edge technology that challenge and expand your expertise
  • Flexibility means trusting you to choose when where and how you workbalancing whats best for you your team and your clients to grow and thrive together.
  • Clear paths for career progression supported by continuous learning and leadership development.
  • Generous leave entitlements including four weeks annual leave and float public holidays to support your work-life balance.
  • A world-class parental leave policy offering up to 26 weeks of leave for caregivers supporting your family and personal life.

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 Engineer and make an impact that goes beyond the expected. Apply now and take your next step with a team shaping the future.

Were committed to treating all our job applicants fairly and with respect irrespective of their actual or assumed background disability neurodivergence or any other protected want you to have every opportunity to thrive in our selection 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.

Education (if blank degree and/or field of study not specified)

Degrees/Field of Study required:

Degrees/Field of Study preferred:

Certifications (if blank certifications not specified)

Required Skills

Optional Skills

Accepting Feedback Accepting Feedback Active Listening AI Implementation Analytical Thinking C Programming Language Coaching and Feedback Communication Complex Data Analysis Creativity Data Analysis Data Infrastructure Data Integration Data Modeling Data Pipeline Data Quality Deep Learning Embracing Change Emotional Regulation Empathy GPU Programming Inclusion Intellectual Curiosity Java (Programming Language) Learning Agility 30 more

Desired Languages (If blank desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship

No

Government Clearance Required

No

Job Posting End Date


Required Experience:

Manager

Line of ServiceAdvisoryIndustry/SectorNot ApplicableSpecialismActuarial ServicesManagement LevelManagerJob Description & SummaryAt PwC Australia your expertise can shape better outcomes for communities businesses and the people who rely on them. Our Data & AI team is expanding and were looking for a...
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Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala

About Company

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At PwC, our purpose is to build trust in society and solve important problems. We’re a network of firms in 155 countries with over 284,000 people who are committed to delivering quality in assurance, advisory and tax services. Find out more and tell us what matters to you by vis ... View more

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