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Senior Consultant – Data Engineering

4 weeks ago

Sydney, New South Wales, Australia Scyne Advisory Full time

2 days ago Be among the first 25 applicants

Job Description

Location: Sydney, Canberra or Adelaide

Team: Data & AI within the Transformation Practice

Reports to: Manager or Associate Director, Data & AI

About Scyne Advisory

Scyne Advisory is a values-led professional services company committed to empowering Australia's transformation through trusted advice and solutions. We support governments and public purpose organisations to build more resilient, equitable, secure and prosperous communities. With specialist teams across Transformation, Risk, Cyber & Programs, and Commercial, Financial & Infrastructure, we help our clients deliver real-world outcomes at scale, underpinned by our values:

Stronger Together | Amplify Impact | Value Every Person | Build Trusted Relationships | Think Beyond Limits | Defined by Ethics

The Opportunity

We're looking for a Senior Consultant with strong data engineering skills to join our growing team. You will play a pivotal role in designing, building, and optimising modern data platforms that enable advanced analytics, reporting, and machine learning across a range of industries including government, financial services (social insurance), and infrastructure.

Key Responsibilities

  • Design and implement scalable data pipelines and cloud-native data platforms
  • Translate business challenges into data engineering problems and actionable solutions
  • Build robust ETL/ELT solutions using best practices in data engineering
  • Work across large datasets, ensuring quality, reliability, and performance
  • Collaborate with cross-functional teams including data scientists, analysts, and architects
  • Contribute to client engagements through technical delivery, stakeholder engagement, and documentation
  • Support capability uplift through mentoring and knowledge-sharing

Core Experience And Skills

We understand that candidates may bring different combinations of expertise. Below is an outline of the capabilities we're looking for, with flexibility based on depth and context of experience:

To Succeed In This Role, You Must Have
  • 2-5 years of hands-on experience in data engineering or related roles
  • Strong proficiency in at least one cloud platform (AWS, Azure, or GCP), ideally AWS or Azure
  • Solid understanding of SQL, Python or PySpark, and distributed data processing
  • Strong knowledge of data warehousing concepts and architecture
  • Familiarity with DevOps practices: CI/CD and Git
  • Experience with modern orchestration tools (e.g., Airflow, Azure Data Factory, AWS Step Functions)

You will stand out from the crowd if you also bring:
  • Experience with Databricks (Spark, Delta Lake, MLflow, Unity Catalog)
  • Prior consulting or advisory experience in a client-facing role
  • Exposure to data governance, metadata management, or data quality frameworks
  • Experience integrating structured, semi-structured and unstructured data
  • Knowledge of API-based data ingestion and streaming (Kafka, Kinesis, Azure Event Hubs)
  • Familiarity with tools such as dbt, Power BI, Tableau or other reporting layers
  • Relevant certifications in AWS, Azure or Databricks
  • Ability to obtain Government Security Clearance

Why Join the Data & AI Team at Scyne Advisory?

Scyne Advisory's Data & AI team is driven by purpose and powered by people. Here, you'll tackle complex, real-world challenges with modern tools and public-purpose data alongside talented and driven colleagues to deliver outcomes that genuinely matter. We champion curiosity, inclusivity, and continuous learning - backed by strong pathways for growth and leadership. With flexible work arrangements and a human-first approach to wellbeing, you'll thrive in a culture where every voice is heard and valued. If you're looking to make impact with your Data Science skills while growing your career, this is the place.

As a part of the Data & AI team at Scyne Advisory, your benefits will include:
  • Enjoy industry-leading leave options, including:
    • 26 weeks paid parental leave for either caregiver
    • 4 weeks of annual leave, with an additional fifth week of paid leave to use across our annual summer shutdown period
    • Birthday leave, First Nations Cultural Leave, Floating Public Holidays
    • Purchased leave, study leave, volunteering leave and more
  • Short and long-term performance-based incentive schemes, including employee share options
  • Annual reimbursement for smart devices, wellness expenses, and lifestyle perks
  • Access to Sonder, a digital care platform available to you and your family
Ready to Make an Impact

If you share our mission to help public purpose organisations build better communities and want to lead meaningful technology transformation, we encourage you to apply or reach out for a conversation.

We encourage applications from those in marginalised and/or historically underrepresented communities within our workforce. Additionally, if you require any adjustments to the process, please let us know.Seniority level
  • Seniority levelMid-Senior level
Employment type
  • Employment typeFull-time
Job function
  • Job functionEngineering and Information Technology
  • IndustriesBusiness Consulting and Services

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