Data Engineer
Sydney/Melbourne based – Hybrid
Competitive Salary

Our client is at the forefront of AI innovation, serving enterprise clients with bespoke solutions that drive transformation and growth. Priding themselves on their agility, expertise, and commitment to delivering exceptional value to customers.

The Role:
We are seeking a talented Data Engineer to join the dynamic team. You’ll work on cutting-edge AI projects, leveraging your experience with multiple cloud providers, Databricks, Kafka, and Python. The ideal candidate is passionate about data, thrives in a client-facing environment, and enjoys translating complex requirements into robust data solutions.

Key Responsibilities:

• Design, develop, and maintain scalable data pipelines across multiple cloud platforms (AWS, Azure, GCP).
• Work with Databricks to build and optimize big data processing workflows.
• Integrate Kafka streams for real-time data ingestion and processing.
• Collaborate directly with clients to understand their needs and deliver tailored data solutions.
• Write clean, efficient Python code for data transformation and analysis.
• Ensure data security, governance, and compliance standards are met.
• Stay up-to-date with industry trends and introduce innovative approaches to data engineering challenges.

Qualifications & Skills:

• Proven experience with multi-cloud environments (AWS, Azure, GCP).
• Hands-on expertise with Databricks and Apache Kafka.
• Strong Python programming skills.
• Experience working in a client-facing consulting role.
• Familiarity with data warehousing, ETL/ELT processes, and big data tools.
• Excellent communication skills and ability to translate technical concepts for non-technical stakeholders.
• A proactive, problem-solving mindset with a passion for AI and data-driven innovations.

Apply now for more info and to kick start a new challenging role with an aware winning business!