Location: Australia (Remote and Hybrid Options Available)

We’re looking for aSenior Data Engineer who thrives on solving complex data challenges, designing robust architectures, and optimising big data pipelines. You’ll work withcutting-edge cloud and AI solutions , ensuring thatdata is accessible, scalable, and analytics-ready .

This role blendsdeep technical expertise, strategic problem-solving, and hands-on implementation . You’ll build and optimiseETL pipelines, data lakes, and data platforms while collaborating with cross-functional teams to driveAI-powered insights .

Your Impact

- Build scalable data architectures – Design and implementhigh-performance data pipelines and cloud-native solutions .
- Optimise big data processing – Developefficient and cost-effective data solutions using Databricks, Apache Spark™, and Delta Lake.
- Ensure data quality and governance – Implementbest practices for data validation, lineage, and security .
- Drive automation and efficiency – UsePython, Scala, or SQL to automate data workflows and streamline processes.
- Collaborate with cross-functional teams – Work withdata scientists, analysts, and engineers to deliver data-driven solutions.
- Stay ahead of the curve – Continuously explore newdata engineering trends, AI advancements, and cloud technologies .

What We’re Looking For

- 5+ years of experience indata engineering, big data, or cloud data solutions .
- Proficiency in Python, Scala, or SQL for building scalable data pipelines.
- Expertise in Databricks, Apache Spark™, and Delta Lake .
- Experience with cloud platforms (AWS, Azure) and contemporary data architectures.




- Strong understanding of ETL processes, data lakes, and warehouse solutions .
- Excellent problem-solving skills – Able to tackle complex data challenges with innovative solutions.
- A passion for automation, AI, and optimising data workflows .

Nice to Have

- Databricks Certification (e.g., Databricks Certified Data Engineer or ML Associate).
- Experience withreal-time streaming architectures (Kafka, Kinesis, or similar).
- Knowledge ofAI/ML pipelines and MLOps best practices .
- Prior experience in aconsulting or client‑facing role .

Why Join Datasmiths?

- Be part of an AI-native company – We live and breathecutting-edge AI and data solutions .
- Work on high-impact projects – We partner withindustry leaders to solve some of the toughest data challenges.
- Shape the future of data engineering – Be at the forefront ofAI-driven transformation .
- Competitive compensation – We offera generous salary and performance-based bonuses .
- Flexible work culture – Hybrid and remote work options tofit your lifestyle .
- Grow with us – Accesstop-tier learning resources, training, and leadership development programs .

Our Commitment to Diversity & Inclusion

At Datasmiths,we celebrate diversity and welcome everyone – no matter your background, identity, or path into tech. We arecommitted to fostering an inclusive culture where everyonefeels valued, empowered, and inspired to thrive .

Ready to Engineer the Future of Data?

If you’re ready todesign next-gen data architectures, optimise big data solutions, and drive AI-powered insights , we want to hear from you.

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📌 Senior Data Engineer (Australia)
🏢 Datasmiths
📍 Australia