Senior Data Engineer at Insignia Financial

Sydney, New South Wales, Australia -

Full Time

Start Date

Immediate

Expiry Date

24 Dec, 25

Salary

0.0

Posted On

25 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Google BigQuery, SQL, Data Architecture, Engineering Design Patterns, Adobe Experience Platform, Machine Learning, Customer Lifecycle Data, dbt, Airflow, Python, Data Accuracy, Regulatory Compliance, Mentorship, Predictive Models, Segmentation Logic, Automation, Process Efficiency

Industry

Financial Services

Description

Make your move. Make your mark Put your fingerprints on the future to progress your career Make a difference, make it meaningful Max term position – 12 months The opportunity to join our team We’re looking for a passionate, technically skilled and business-savvy Senior Data Engineer to join our Marketing Data-Driven Customer Engagement team. In this role, you’ll own and deliver projects that architect and automate the data assets powering personalised customer experiences, retention strategies, and growth initiatives. You’ll work closely with Marketing, IT, Digital, Data and Insights teams to build scalable solutions in Google BigQuery and leverage tools like Adobe Experience Platform, connecting online and offline data to unlock actionable insights. This role goes beyond writing queries. You’ll shape the strategic use of customer data across campaigns, provide mentorship to colleagues, and ensure the technical foundations are robust and scalable for long-term impact Key Responsibilities: Scope, lead, and deliver end-to-end data engineering projects Design, build, and optimise scalable data products and models Build assets that power personalised journeys across onboarding, retention, upsell, and win-back campaigns Operationalise predictive models and segmentation logic Drive automation, machine learning integration, and process efficiency Translate marketing and business needs into technical solutions Ensure data accuracy, consistency, and regulatory compliance Provide guidance to mid-level engineers, conduct code reviews, and embed best practices What you will bring Deep hands-on expertise with Google BigQuery and advanced SQL Strong background in data architecture and engineering design patterns Experience with Adobe Experience Platform (or other CDPs) Exposure to machine learning models and customer lifecycle data Familiarity with tools like dbt, Airflow, Python Business context: understanding how marketing and customer analytics drive outcomes Ability to work independently and lead ambiguous, complex projects Why Insignia Financial High-impact projects – you’ll be building the foundations of data products used across customer campaigns Future-proof skills – hands-on experience with market-leading platforms (Google Cloud, Adobe) Exposure to machine learning and automation – pushing beyond BAU into advanced analytics Leadership stretch – mentoring others while still staying close to the tech Visibility across the business – marketing, data, IT, and executives will see the impact of your work 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

Scope, lead, and deliver end-to-end data engineering projects while designing and optimizing scalable data products. You will also operationalize predictive models and ensure data accuracy and regulatory compliance.