Senior Data Engineer & Tech Architect – Consulting

Correlate Resources

Sydney

On-site

AUD 180,000 - 240,000

Full time

4 days ago
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Job summary

Correlate Resources is seeking a Senior Data Engineer who combines deep engineering capability with the confidence to operate in a consulting environment. You’ll shape client problems, design solutions and lead delivery across modern data platforms.

You’ll work hands-on with Python, SQL, Spark / PySpark and Databricks, mentor engineers and ensure secure, scalable, and cost-effective outcomes while collaborating across clients and industries.

Qualifications

  • 5+ years’ experience across Data Engineering or Software Engineering.
  • Strong Python and SQL.
  • Databricks and Spark / PySpark.
  • Git, CI/CD and modern engineering practices.
  • Experience across AWS, Azure or GCP.
  • Consulting or highly client-facing delivery experience.
  • Strong communication, commercial judgement and high EQ.
  • Ability to work at pace and adapt quickly across changing environments.
  • Relevant technical degree.

Responsibilities

  • Architecting and building complex, scalable data pipelines
  • Designing modern data platforms and cloud-based solutions
  • Working hands-on across Python, SQL, Spark / PySpark and Databricks
  • Leading technical design and contributing to architecture decisions
  • Conducting code reviews and mentoring engineers
  • Working directly with clients to understand problems and shape practical solutions
  • Driving secure, resilient and cost-effective engineering outcomes

Skills

Python
SQL
Spark / PySpark
Databricks
AWS
Azure
GCP
Git
CI/CD
Consulting experience
Communication

Education

Relevant technical degree

Tools

Databricks
Spark

Job description

Correlate Resources is seeking a Senior Data Engineer who combines deep engineering capability with the confidence to operate in a consulting environment. You’ll shape client problems, design solutions and lead delivery across modern data platforms.

You’ll work hands-on with Python, SQL, Spark / PySpark and Databricks, mentor engineers and ensure secure, scalable, and cost-effective outcomes while collaborating across clients and industries.

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