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Manager - Data Engineer
Macquarie Asset Management (MAM) is a global asset manager, integrated across public and private markets. We focus on generating positive outcomes for our clients, portfolio companies and communities. This starts with understanding their needs and providing solutions that seek to deliver superior results over the long term. We provide a diverse range of investment solutions including real assets, real estate, credit and equities & multi-asset. a strong focus on private markets and alternatives, MAM is at the forefront of delivering innovative and scalable solutions for institutional and wealth clients. Our platform is experiencing strong momentum, driven by our commitment to leveraging cutting-edge technology and artificial intelligence to transform how private markets are managed, scaled, and serviced.
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?
Your role will involve creating and managing data pipelines using Python and SQL via technologies such as Airflow and dbt. You will work with the business teams to build quick prototypes based on business requirements, creating and maintaining data products. This opportunity will provide exposure to exciting technologies, including Google Cloud Platform (GCP) services like BigQuery, to deliver and maintain highly scalable and robust data pipelines. You will be a valued member of our diverse team, will be a self-motivated team player and have excellent communication skills, enabling you to engage with all levels of stakeholders.
What you offer
- Strong experience of 7 - 10 years
- Have strong proficiency in SQL and python and data pipelines.
- Experience with data technology platforms such as Airflow, dbt Cloud, GCP BigQuery
- Understanding of APIs
- Have excellent verbal and written communication to engage with all levels of stakeholders, and be able to speak of complex technical concepts to non-technical stakeholders in a clear and concise manner
- Proficiency in cloud platforms such as AWS, GCP, Azure and related services is added advantage
- Familiarity with data architecture and data modelling
- Domain knowledge of the asset management and private markets industry, including technologies and business processes will be highly regarded
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 eligibility criteria, include:
- 1 wellbeing leave day per year
- 26 weeks’ paid maternity leave or 20 weeks’ paid parental leave for primary caregivers along with 12 days of paid transition leave upon return to work and 6 weeks’ paid leave for secondary caregivers
- Company-subsidised childcare services
- 2 days of paid volunteer leave and donation matching
- Benefits to support your physical, mental and financial wellbeing including comprehensive medical and life insurance cover, the option to join parental medical insurance plan and virtual medical consultations extended to family members
- Access to our Employee Assistance Program, a robust behavioural health network with counselling and coaching services
- 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, 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.
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.
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.
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