Lead Software Engineer - Data

Lead Data Software Engineer

Sydney (Hybrid)

Permanent

$180-200k base

About the Role

We're working with a very exciting Fintech who are looking for a hands-on Data Software Engineer to join a high-performing data and engineering team working on real-time, microservice-based data platforms. This is a unique opportunity for someone with strong software engineering fundamentals who also thrives in data architecture and modelling.

You'll be joining a team of Data Engineers who come from varied backgrounds and this hire is specifically aimed at bringing in a strong builder mindset: someone who writes clean, production-grade code, enjoys solving complex technical problems, and wants to shape standards, not just follow them.

This is not a BI, data warehouse, or DBA role. We're looking for an engineer who sits at the intersection of software and data building systems that are scalable, governed, and modern.

Key Responsibilities

• Design, build and maintain real-time data services and pipelines using Python, SQL, Spark, and cloud-native tools.
• Lead data modelling efforts using defining patterns, standards, and best practices.
• Contribute to the development of an internal data governance and modelling framework used across multiple domains.
• Work closely with engineering, risk, and governance teams to ensure high-quality, compliant, and reusable data products.
• Actively contribute to CI/CD and infrastructure-as-code workflows.
• Help drive a culture of quality, technical excellence, and strong delivery.

Your Background

You're likely a strong Software Engineer with Data Engineering experience OR a Data Engineer who's moved into Software. You enjoy building real solutions from scratch, not just maintaining pipelines. You're confident, technically curious, and value strong engineering principles.

Must-Have Skills

• Strong programming skills in Python and SQL
• Experience with Databricks, or similar tools
• Deep understanding of data modelling
• Exposure to cloud environments (preferably AWS)
• Experience with tools like GitHub, Jenkins, VSCode, GitHub Actions
• Understanding of CI/CD, microservices, and Kubernetes
• A strong communicator who's not afraid to challenge assumptions and influence standards

Nice to Have

• Familiarity with BitQuery, Snowflake, or Hadoop-based architectures
• Experience in regulated industries or risk-aligned functions
• Exposure to marketing tech, growth data, or similar domains

Who You Are

• Technically confident you enjoy writing software, solving problems, and raising the bar
• A strong individual contributor, not looking for people management (yet)
• Comfortable working across stakeholders from engineering, risk, and data governance
• Someone who wants to shape systems not just plug into them
• Excited by autonomy, ownership, and the chance to make a real impact

If you're a software-minded data engineer or a developer who thrives in data, and you're ready to take on a technical challenge that matters, I'd love to speak with you.