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Data Engineer

Primary office location
Sydney
Date
08-May-2025
Permanent - Full time, Mid-level
Job category
BFS - Data Engineer
Join our Data Platforms team in our Digital Bank and help us build the best technology business in financial services. Our team focuses on analytics and data science use cases enabled through integrated tooling, improved prototyping and self-serve abilities, higher scalability and reliability and faster delivery.  
At Macquarie, our advantage is bringing together diverse people and empowering them to shape all kinds of possibilities. We are a global financial services group operating in 34 markets and with 55 years of unbroken profitability. You’ll be part of a friendly and supportive team where everyone - no matter what role - contributes ideas and drives outcomes.

What role will you play?

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As an experienced Data Engineer, you will play a key role in building, implementing and enhancing enterprise scale data solutions.  You will be working in a DevOps environment where you will have end-to-end accountability for designing, developing, deploying and supporting your data assets, and creating templates and implementation methods, standards and frameworks.

You will be involved in developing high quality, low maintenance software solutions for our customers. You will be coordinating requirements, schedules, and activities; contributing to team meetings; development, peer code reviews and testing. You will have the opportunity to learn from senior developers about product and solutions servicing multiple businesses.

What you offer

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  • 5+ years of enterprise engineering experience working in a mature cloud environment like AWS, GCP, and Azure
  • Experience in developing code-based ETL/ELT Data pipelines with performance-optimised data modelling, preferably in the banking or financial services industry
  • Strong hands-on coding ability in Python
  • Solid experience in authoring complex SQL queries and Data Definition Language (DDL)
  • Proven expertise in data warehousing concepts and data modeling techniques
  • Proficient data formatting and wrangling as well as data preparation
  • Experience with analytics, denormalisation of data, large views, and analytics & reporting
  • Experience in building and deploying data lakes and data warehouses on GCP using services such as BigQuery, Dataform/DBT, Cloud Spanner, Cloud Functions, and GCS a unique advantage but not mandatory
  • Ability to effectively communicate problems and solutions with both business and technical colleagues.
We love hearing from anyone inspired to build a better future with us, if you're excited about the role or working at Macquarie we encourage you to apply.

About Technology

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Technology enables every aspect of Macquarie, for our people, our customers and our communities. We’re a global team that is passionate about accelerating the digital enterprise, connecting people and data, building platforms and applications and designing tomorrow’s technology solutions.

Our commitment to diversity, equity and inclusion

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We are committed to fostering a diverse, equitable and inclusive workplace. We encourage people from all backgrounds to apply and welcome all identities, including race, ethnicity, cultural identity, nationality, gender (including gender identity or expression), age, sexual orientation, marital or partnership status, parental, caregiving or family status, family and domestic violence status, neurodiversity, religion or belief, disability, or socio-economic background. We welcome further discussions on how you can feel included and belong at Macquarie as you progress through our recruitment process. To learn more, contact our team by clicking here.

Our aim is to provide reasonable adjustments to individuals who may need support during the recruitment process and through working arrangements. If you require additional assistance, please let us know in the application process.

Learn more about Macquarie

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Diversity, equity and inclusion

Benefits and wellbeing

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