The Role – Data Engineer
Location: Australia (Remote and Hybrid Options Available)
We’re looking for a Data Engineer who thrives on solving complex data challenges, designing robust architectures, and optimising big data pipelines. You’ll work with cutting-edge cloud and AI solutions, ensuring that data is accessible, scalable, and analytics-ready.
This role blends deep technical expertise, strategic problem-solving, and hands-on implementation. You’ll build and optimise ETL pipelines, data lakes, and data platforms while collaborating with cross-functional teams to drive AI-powered insights.
Your Impact
- Build scalable data architectures – Design and implement high-performance data pipelines and cloud-native solutions.
- Optimise big data processing – Develop efficient and cost-effective data solutions using Databricks, Apache Spark™, and Delta Lake.
- Ensure data quality and governance – Implement best practices for data validation, lineage, and security.
- Drive automation and efficiency – Use Python, Scala, or SQL to automate data workflows and streamline processes.
- Collaborate with cross-functional teams – Work with data scientists, analysts, and engineers to deliver data-driven solutions.
- Stay ahead of the curve – Continuously explore new data engineering trends, AI advancements, and cloud technologies.
What We’re Looking For
- 3+ years of experience in data engineering, big data, or cloud data solutions.
- Proficiency in Python, Scala, or SQL for building scalable data pipelines.
- Experience with Databricks, Apache Spark™, and Delta Lake.
- Familiarity with cloud platforms (AWS, Azure) and modern data architectures.
- 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 with real-time streaming architectures (Kafka, Kinesis, or similar).
- Knowledge of AI/ML pipelines and MLOps best practices.
- Prior experience in a consulting or client-facing role.
Why Join Datasmiths?
- Be part of an AI-native company – We live and breathe cutting-edge AI and data solutions.
- Work on high-impact projects – We partner with industry leaders to solve some of the toughest data challenges.
- Shape the future of data engineering – Be at the forefront of AI-driven transformation.
- Competitive compensation – We offer a generous salary and performance-based bonuses.
- Flexible work culture – Hybrid and remote work options to fit your lifestyle.
- Grow with us – Access top-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 are committed to fostering an inclusive culture where everyone feels valued, empowered, and inspired to thrive.
Ready to Engineer the Future of Data?
If you’re ready to design next-gen data architectures, optimise big data solutions, and drive AI-powered insights, we want to hear from you.
👉 Apply Now and let’s build the future of data and AI together.