Senior Data Engineer

Location: Australia (Remote and Hybrid Options Available)

We're looking for aSenior Data Engineerwho 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 platformswhile collaborating with cross-functional teams to driveAI-powered insights.

• Build scalable data architectures- Design and implementhigh-performance data pipelines and cloud-native solutions.
• Optimise big data processing- Developefficient and cost-effective data solutionsusing 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 SQLto automate data workflows and streamline processes.
• Collaborate with cross-functional teams- Work withdata scientists, analysts, and engineersto deliver data-driven solutions.
• Stay ahead of the curve- Continuously explore newdata engineering trends, AI advancements, and cloud technologies.

• 5+ years of experienceindata engineering, big data, or cloud data solutions.
• Proficiency in Python, Scala, or SQLfor building scalable data pipelines.
• Expertise in Databricks, Apache Spark , and Delta Lake.
• Experience with cloud platforms(AWS, Azure) and modern 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.

• 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.

• Be part of an AI-native company- We live and breathecutting-edge AI and data solutions.
• Work on high-impact projects- We partner withindustry leadersto 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.

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

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