Senior Data Engineer

Our client is looking for a Sr. 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.

• 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.

Qualifications

• 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.

Preferred Qualifications

• 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.

Benefits

• 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.

Compensation

The base pay range for this role is A$125,000 – A$175,000 per year.