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Data Analytics Engineering Lead

Expired
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Macquarie Group
Sydney, NSW
hybrid
Full Time / Permanent

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Posted 3 months ago
This role is expired

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Posted 1 month ago

Our team in Market Services designs and runs a digital platform that improves how post-trade services work. We focus on using data, automation and modern engineering to reduce manual work and help the platform scale efficiently.

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 31 markets and with 56 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?

In this role you will lead how we design, build and use data across Market Services. You will create real-time measurement and analytics systems that show how our platform performs and help teams make better decisions. You will work closely with engineering, operations and leadership to embed data and analytics into everything we build.

What you offer

  • Strong engineering experience in data analytics, business intelligence or data platform development
  • Hands-on ability to build data pipelines, design data models, write queries and architect data solutions
  • Experience creating automated performance metrics, key measures or objectives using real-time data
  • Ability to translate business goals into clear, measurable and automated data outcomes
  • Confidence working across technical and non-technical teams, influencing decisions with clear data insights.

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.

What we offer

At Macquarie, you're empowered to shape a career that's rewarding in all the ways that matter most to you. Macquarie employees can access a wide range of benefits which, depending on employment type, include:

  • 1 wellbeing leave day per year
  • Up to 5 additional service bonus leave days per year
  • Up to 20 weeks' paid parental leave for primary caregivers along with 12 days of transition leave upon return to work, and 6 weeks' paid leave for non-primary caregivers
  • 2 days of paid volunteer leave and donation matching
  • Up to 12 months' gender affirmation leave, including 6 weeks' paid leave
  • Access to Employee Assistance Program and wellbeing benefits including skin and health checks, and flu vaccinations
  • Access to a wide range of salary packaging options
  • Access to a wide range of learning and development opportunities, including reimbursement for professional membership or subscription
  • Hybrid and flexible working arrangements, dependent on role
  • Reimbursement for work from home equipment

About Technology

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

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.