Principal Data Engineer

Are you ready to architect the future of data in a high-performance, mission-critical environment?

Come and join this established enterprise data team and lead and own the design and development of scalable, secure data solutions on AWS.

In this 50/50 hands on role you’ll architect and optimise data pipelines, mentor engineers, and collaborate with stakeholders to deliver high-performance, future-ready data products.

You'll also have an chance to implement SageMaker!

Key responsibilities:

- Lead end-to-end data platform architecture

- Design scalable data lake and data mesh solutions

- Build reusable data engineering frameworks and tools

- Partner with stakeholders to deliver effective data solutions

- Drive DataOps, CI/CD, automation and observability

- Embed security, privacy,



governance and reliability

What we’re looking for:

- 10 years’ data engineering experience.

- Strong AWS data platform and pipeline experience.

- Expertise in Python, Spark, dbt and Airflow.

- Strong knowledge of distributed systems and data architecture.

- Experience with Redshift, Iceberg and data lakehouse patterns.

- Proven experience leading data platform design and governance.

Next steps... This is incredible opportunity to work on a very high profile programs of work, so please apply today by clicking "Apply Now" or email your CV and covering letter to [email protected]

📌 Principal Data Engineer (Sydney)
🏢 Mu0026amp;T Resources
📍 Sydney