💼 Senior Data Engineer | Leading Bank

📍 Location: Sydney (Hybrid)
🕒 6-Month Contract
💰 Up to $1,050/day incl. super

Join a top-tier Australian bank on a high-impact data transformation program. As a Senior Data Engineer, you'll play a key role in delivering robust, cloud-native data solutions using Azure and Databricks within an enterprise-scale environment.

🧠 Why This Role Matters

This is a critical contract role supporting ongoing delivery across the bank's Azure data platform. You'll work closely with data product teams and engineering leads to build scalable data pipelines and enable strategic data initiatives across the organisation.

🛠️ What You'll Be Doing

Build and optimise scalable ETL/ELT pipelines using Azure Data Factory, Azure Synapse, and Databricks

Integrate diverse data sources, including APIs, databases, and streaming feeds into a modern data platform

Collaborate with data scientists, analysts, and business stakeholders to deliver enterprise-grade data products

Maintain data quality, implement best practices for governance, and ensure secure handling of sensitive data

Contribute to automation, performance tuning, and documentation of data workflows

🧩 What We're Looking For

5+ years in Data Engineering with strong enterprise-level project experience

Expertise in Azure cloud services (Data Lake, Synapse, Data Factory, Functions)

Hands-on proficiency in Databricks and PySpark

Strong SQL and data modelling experience

Familiarity with CI/CD, Git, and production-grade data environments

Bonus: Experience in banking or highly regulated industries

🌟 What's In It for You?

Contract with a leading Australian bank on a flagship data program

High-impact work on a cloud-native platform used across the enterprise

Hybrid work environment with Sydney CBD office presence (2-3 days/week)

Competitive daily rate: up to $1,050 including super

Opportunity to extend or transition into future programs

📩 Sound like you?
Let's talk! Reach out with your CV to discuss this opportunity and explore the next step in your data engineering journey.