Lead Data Engineer
Macquarie Group
Job Overview
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Job Description
Lead Data Engineer at Macquarie Group
Join our Data and Analytics team at Macquarie Group and contribute to improving solution robustness and responsiveness to business needs. Macquarie is a global financial services group, operating in 31 markets with a strong history of profitability. You will be part of a supportive team where every member contributes ideas and drives outcomes.
What role will you play?
As a Lead Data Engineer in the Manila Data and Analytics team, you will collaborate with traders, desk analysts, and central data teams to deliver data and analytics solutions across our Commodities and Global Markets business lines.
You will be the primary representative for Data Analytics in the APAC region, leading a team of engineers and providing technical guidance. Your role involves spearheading the development of key data analytics capabilities, including the data catalog, data science workbench, visualization tools, and real-time analytics. You will work extensively with our public-cloud based data lake and develop data pipelines for both internal operational and external market data. Furthermore, you will be instrumental in maturing our development practices within our agile team, continuously enhancing solution robustness and business responsiveness.
What You Offer
- 6+ years of experience in developing, debugging, and running Python code in production.
- Experience working with containers and deploying them in production, e.g., EKS.
- Proficiency in AWS Cloud services, e.g., IAM, S3, EC2, EKS.
- A passion for AI, Data, and automation.
- A self-starter and problem-solver, with effective communication skills.
- Experience managing people and building relationships within the business.
- Exposure to the following technologies is an advantage: Parquet, Iceberg, Trino, Redshift, Airflow, Hive, Dataiku.
We encourage anyone inspired to build a better future with us to apply.
What We Offer
Benefits
At Macquarie, you’re empowered to shape a rewarding career. Macquarie employees can access a wide range of benefits which, depending on eligibility criteria, include:
- 1 wellbeing leave day per year.
- 20 weeks’ paid parental leave for primary caregivers, 12 days paid transition leave, and 6 weeks’ paid leave for secondary caregivers.
- 5 days carers leave for immediate family members, in addition to annual leave.
- 2 days of paid volunteer leave and donation matching.
- Voluntary parental medical insurance plan for married employees.
- Wellbeing benefits, sessions, and events supporting physical, mental, and financial wellbeing, including comprehensive medical and life insurance.
- Access to our Employee Assistance Program, a robust behavioral health network with counseling 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 underpins every aspect of Macquarie, for our people, customers, and communities. We are a global team 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. We aim to provide reasonable adjustments to individuals who may need support during the recruitment process and through working arrangements. Please let us know if you require additional assistance.
Key skills/competency
- Data Engineering
- Python
- AWS Cloud
- Containerization (EKS)
- Big Data Technologies
- Team Leadership
- Technical Direction
- Agile Methodologies
- Data Analytics Solutions
- Stakeholder Management
How to Get Hired at Macquarie Group
- Research Macquarie Group's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your Lead Data Engineer resume: Highlight your experience in Python, AWS, containerization, and leadership for data solutions.
- Showcase technical expertise: Prepare to discuss deep experience with cloud data lakes, ETL pipelines, and technologies like Parquet or Airflow.
- Emphasize leadership and communication: Be ready to demonstrate your ability to lead teams, provide technical direction, and communicate effectively with business stakeholders.
- Highlight agile development: Discuss your experience maturing development practices within an agile data engineering environment.
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