Data Engineer at Insignia Financial

Sydney, New South Wales, Australia -

Full Time

Start Date

Immediate

Expiry Date

21 Mar, 26

Salary

0.0

Posted On

21 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Data Engineering, Data Pipelines, Data Warehouses, Analytics Platforms, Power BI, Tableau, Python, Cloud Data Services, GCP, BigQuery, Data Governance, Access Controls, Security Practices, Automation, Continuous Improvement

Industry

Financial Services

Description

Please note our offices will be closed from 24 December 2025 to 2 January 2026. As we approach the holiday period, there may be delays in response times and the Talent Acquisition team will begin reviewing applications from 5 January 2026. Thank you for your patience. Make your move. Make your mark Make Asset data work harder Make a difference, make it meaningful The opportunity to join our team We’re looking for a Data Engineer to join our Asset Management Technology team. You’ll be part of a small, highly capable engineering team supporting direct investment managers and asset operations, people who rely on data to make real decisions. You’ll work on data that directly supports investment decisions, in a small, collaborative team where your contributions are visible. There’s opportunity to apply new skills and ideas while gaining exposure to modern data platforms and transformation initiatives. This is a hands-on, high-impact role for someone who’s comfortable sitting between the business and the tech: understanding what’s needed, designing the right solution, and making sure the data platforms deliver. Key Responsibilities: Design, build and support data pipelines, warehouses and analytics platforms Partner with investment and operations teams to translate business needs into data solutions Diagnose and resolve data platform issues, owning incidents end-to-end Monitor platform performance and proactively improve service health Contribute to data governance, access controls and security practices Drive automation and continuous improvement across data platforms What you will bring Strong SQL experience working with large, complex datasets Experience with Microsoft and/or Oracle-based data environments Hands-on experience with Power BI (Tableau also welcomed) Working knowledge of Python for data engineering and automation Experience with cloud data services; GCP / BigQuery highly regarded Ability to communicate clearly with both technical and non-technical stakeholders Find the better way What gets us excited about working here? Helping people feel good about their money as one of Australia’s leading financial wellbeing organisations. From those starting out to those retiring. As your team, we’ll show up for you and together we will create financial wellbeing for every Australian. Because we know people who are confident about their financial future live better lives. If this sounds like your kind of career, you sound like our kind of person. With us, you’ll do work that builds your technical know-how and challenges our entire industry to move forward. Along the way, you’ll be free to explore new ideas and technology, solve problems in a team, and independently to get great things done. Around here, we like to call it “putting our fingerprints on the future”. People-inspired tech Deep expertise combined with creativity can take on the trickiest of problems. Join our team of brilliant minds and mentors as we explore our way to innovation and apply technology in more human ways than ever. To Apply Read more here about why you should join our team. Applicants will be required to provide evidence of their eligibility to work in Australia, and at a minimum be required to undertake police and basic credit checks as a condition of employment. Please note that applications from agencies will not be considered at this time. We acknowledge and celebrate the richness that individual differences bring to our team. If you need assistance or an adjustment during the application process, please reach out and let us know.

Responsibilities

The Data Engineer will design, build, and support data pipelines, warehouses, and analytics platforms while partnering with investment and operations teams to translate business needs into data solutions. They will also diagnose and resolve data platform issues and contribute to data governance and security practices.