Senior Data Engineer – Mortgage Pricing Analytics at Westpac Group

Sydney, New South Wales, Australia -

Full Time

Start Date

Immediate

Expiry Date

06 Jun, 26

Salary

0.0

Posted On

08 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, SQL, ETL, ELT, Azure Cloud, Machine Learning, Data Science, Python, RESTful API, Power Automate, Power BI, Analytical Mindset, Process Automation, Data Pipelines, Transformation Logic, Performance Tuning

Industry

Financial Services

Description

* Sydney location with Hyrid working Opportunity is knocking — now’s your moment! Our Mortgage Pricing team is entering an exciting new phase powered by analytics and automation. We’re building smarter pricing through modern data engineering and innovation — and it’s a critical lever in Westpac Group’s strategy. In this high-energy, progressive team, you’ll be close to the decisions that matter and see the impact of your work fast. You’ll join a high-performing group focused on creating a great customer experience for our lenders and brokers. Your role and responsibilities - * Own BAU data operations stability with end-to-end technical ownership of pricing data pipelines and systems. Engineer automated, production-grade pipelines across ingestion, transformation and delivery to keep pricing activities resilient and reliable. * Enable machine learning (ML) and data science by providing scalable data access and execution environments across MS Azure cloud platforms. * Maintain and uplift pricing operational and decisioning capabilities through process automation and optimisation. * Extract insights from multiple data sources and apply advanced analytics to shape pricing strategy. * Expand pricing analytics to support returns, revenue and growth objectives — including end-to-end management of data pipelines across multiple data assets. * Collaborate across teams to deliver executive-level reporting on pricing performance and risk. Your ingredients for success … * Deep experience in large-scale enterprise data engineering, backed by advanced SQL (complex analytics, transformation logic and performance tuning). * Hands-on experience designing, building and operating ETL / ELT pipelines across batch and incremental processing patterns. * Experience ingesting structured and semi-structured data into enterprise platforms, with strong RESTful API fundamentals (request/response handling, authentication incl. API keys and OAuth, and throttling controls). * Strong capability across Azure cloud platforms to run data pipelines, analytical workloads, and ML model training and execution. * Proven ability to support cloud platform operations and model execution, ensuring pipelines and analytical workloads run reliably at scale. * Strong Python skills across ETL, analytics and ML-adjacent workflows. * Experience using Microsoft Power Automate to streamline data operations and automate workflows (e.g., email triage, scheduling, notifications and process automation). * An analytical mindset and the ability to turn raw data into actionable business insight. * Curiosity and adaptability — able to learn new tools and techniques quickly as the team evolves. * Experience building dashboards in Power BI preferred. * Mortgages experience preferred, but not 100% essential. Why join us? We’re obsessed with becoming our customers' #1 banking partner for life and we’re looking for people who are passionate about helping us achieve that goal. In return, we’re committed to making Westpac the best place to work in the country. Here are just a few of the ways we’re already doing that: * Special offers on banking products and discounts from top brands, including generous employee-only mortgage rates! * Flexible work arrangements to help you achieve a greater work/life balance, and a variety of leave options including Culture, Lifestyle and Wellbeing leave. * Tailored learning and development opportunities to help your grow your career within the bank. * Lots of opportunities to ‘give back’ to the Community by getting involved in our many volunteering initiatives. Create your future today! To get started, please submit your CV and cover letter via the APPLY or APPLYNOW button. We’re committed to creating a supportive and inclusive community where everyone can do their best work. We welcome candidates of all ages, genders, backgrounds and abilities. We also provide additional support to welcome our veterans, Indigenous Australians and neurodiverse community. If you need any adjustments during the recruitment process, you can find more information and additional contact details by visiting the "People with Disability and/or needing Accessibility Requirements" page on our website. We’re all about helping our people grow and succeed. Whether you’re a current employee, trainee, or intern, we’re committed to your career development Check out our FAQs and internal support resources here. [https://aus01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fsm2.sn.westpac.com.au%2Fesc%3Fid%3Dkb_article%26table%3Dkb_knowledge%26sysparm_article%3DKB0082217%26sys_kb_id%3D06a3158c934d5a1035b8bbc47aba1009%26spa%3D1&data=05%7C02%7Cbradley.monks1%40westpac.com.au%7C619b621b6002443ff52f08dce131bf8a%7C57c64fd466ca49f5ab382e67ef58e724%7C0%7C0%7C638632850985687958%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=UAFiSCoUqFDB%2F46rE%2FQACVYPf85AwJ2Vn5%2BXAMeV3Jc%3D&reserved=0]

Responsibilities

The role involves owning the stability of Business As Usual (BAU) data operations with end-to-end technical ownership of pricing data pipelines and systems, engineering automated, production-grade pipelines for resilience and reliability. Additionally, the engineer will enable machine learning and data science by providing scalable data access and execution environments across MS Azure cloud platforms.