Job Description

Lead Data Engineer (Snowflake, dbt) – 12-Month Fixed-Term Contract n

Location: Sydney CBD Area

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Employment Type: Full time

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Contract Duration: 12 Months Fixed-Term

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Job Requisition ID: REQ

What your role will involve n

You will be part of a specialist team reporting to the Executive Manager, Financial Crime Compliance, with a primary focus on supporting ASB with the delivery of data engineering capabilities for Transaction Monitoring and broader financial crime initiatives.

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This is a hands-on Lead Data Engineer role . You will act as both a senior individual contributor and the technical and people lead for a small team of 3–4 data engineers.

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You will be expected to design solutions, write and review production code, build and troubleshoot data pipelines, and contribute directly to engineering delivery , while also setting technical direction, establishing engineering standards and leading the day-to-day delivery of the team.

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You will work closely with stakeholders across ASB, FCC Australia and New Zealand, and technology teams to translate complex financial crime and business requirements into reliable, scalable and well-controlled data solutions.

In this role, you will: n

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- Act as a senior hands-on engineer , designing, building, testing, deploying and supporting data engineering solutions.
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- Lead and line-manage a small team of 3–4 data engineers, analysts and QAs providing technical direction, coaching, feedback and development.
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- Lead delivery of ASB data engineering initiatives while also contributing directly to the codebase and technical implementation.
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- Design, build and optimise production-grade data pipelines, transformations and integration solutions.
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- Write high-quality, maintainable SQL and dbt code and contribute directly to complex engineering work where required.
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- Review code produced by the team,



provide constructive technical feedback and ensure agreed engineering standards are consistently applied.
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- Lead technical and solution design reviews and make pragmatic engineering decisions where requirements, designs or delivery approaches are unclear.
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- Establish and maintain engineering standards covering coding, testing, documentation, source control, deployment, monitoring and support.
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- Translate business, data and financial crime requirements into practical end-to-end technical solutions.
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- Work across Snowflake, dbt, IBM StreamSets and related technologies to support cloud, on-premises and Oracle-integrated data patterns.
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- Diagnose and resolve complex data, performance and integration issues, including production problems where required.
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- Build data quality, reconciliation, load assurance and control requirements into engineering solutions.
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- Identify technical risks, dependencies and delivery constraints early and drive them through to resolution.
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- Work closely with engineers, architects, database teams, business SMEs and technology stakeholders to support successful delivery.
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- Promote reusable engineering patterns, automation and continuous improvement that improve delivery speed, maintainability and control.
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- Ensure solutions are secure, resilient, scalable and aligned with relevant enterprise technology and engineering standards.
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We're interested in hearing from people who: n

You are an experienced senior or lead data engineer who combines strong hands-on engineering capability with the ability to lead and drive delivery through a team.

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You are comfortable moving between hands-on technical work, code and design reviews, troubleshooting complex data problems, coaching engineers and engaging with senior business and technology stakeholders.

You will bring: n

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- Strong and recent hands-on data engineering experience , including personally building and supporting production-grade data pipelines.
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- Advanced SQL skills and strong experience with cloud data platforms, ideally Snowflake .
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- Strong hands-on experience with dbt , including developing transformations, models, tests and reusable engineering components.
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- Demonstrated experience writing production code and remaining technically hands-on while leading other engineers.
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- Experience providing technical leadership to data engineers, including code review, solution design and engineering standards.
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- Solid understanding of software and data engineering practices including Git/source control, CI/CD, automated testing, deployment and production support.
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- Experience implementing data quality, reconciliation, load assurance, monitoring and control mechanisms.
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- Exposure to IBM StreamSets or similar data movement and integration technologies.
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- Experience working across cloud and on-premises integration patterns; Oracle experience would be advantageous.
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- Strong debugging and problem-solving skills, including the ability to investigate complex data and pipeline issues.
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- Ability to work through ambiguous requirements, identify gaps, challenge proposed approaches and shape fit-for-purpose solutions.
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- Strong stakeholder management skills and the confidence to provide technical direction across engineering, architecture, business and operational teams.
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- Experience in financial services, Financial Crime or Transaction Monitoring would be advantageous but is not essential.
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📌 Interim Lead Data Engineer (Sydney)
🏢 Go Fractional
📍 Sydney