At a Glance
- Tasks: Join our team to develop cutting-edge data analytics solutions for traders and analysts.
- Company: Macquarie Group is a global financial services leader with 56 years of success.
- Benefits: Enjoy a supportive work culture, remote options, and opportunities for personal growth.
- Why this job: Be part of a diverse team shaping the future of data in finance.
- Qualifications: Experience with AWS, Python, and open-source technologies is essential.
- Other info: We value diversity and encourage applicants from all backgrounds.
The predicted salary is between 43200 - 72000 £ per year.
Our Commodities and Global Markets data analytics team within technology is building a leading data and analytics platform. We partner and build batch and real-time analytics solutions for traders, quants, desk analysts, and central data teams across the business. 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?
As a Senior Data Engineer, you will work with traders, quants, desk analysts, and central data teams to provide data and analytics solutions across our Commodities and Global Markets business lines. You will provide technical direction and be hands-on with the development of data analytics capabilities such as the evolution of our data pipeline architecture, data science workbench, visualisation tools, and real-time analytics. Your role will involve working with our public-cloud-based data lake, data pipelines for internal operational and external fundamental and alternative market data.
What you offer:
- Experience with AWS cloud.
- Experience programming, debugging, and running production systems in Python.
- Exposure to open-source technologies such as Iceberg, Trino, and Airflow.
- Passionate about the use and adoption of these capabilities, focused on user experience and ensuring our business sees real value from the technical deliveries.
- A learning mindset, can-do attitude, and effective communication with a diverse set of stakeholders.
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
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 providing a working environment that embraces diversity, equity, and inclusion. We encourage people from all backgrounds to apply regardless of their identity, including age, disability, neurodiversity, gender (including gender identity or expression), sexual orientation, marriage or civil partnership, pregnancy, parental status, race (including ethnic or national origin), religion or belief, 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 as required during the recruitment process and in the course of employment. If you require additional assistance, please let us know during the application process.
Contact Detail:
Macquarie Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Macquarie Group
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as AWS, Python, Iceberg, Trino, and Airflow. Having hands-on experience or projects showcasing these skills can set you apart from other candidates.
✨Tip Number 2
Network with current or former employees of Macquarie Group, especially those in the Commodities and Global Markets team. Engaging in conversations about their experiences can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Demonstrate your passion for data engineering by sharing relevant projects or contributions on platforms like GitHub. This not only showcases your technical skills but also your commitment to the field and continuous learning.
✨Tip Number 4
Prepare to discuss how you can enhance user experience through data solutions during interviews. Think of examples where you've successfully implemented user-focused analytics and be ready to share these stories.
We think you need these skills to ace Senior Data Engineer - Macquarie Group
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to understand the key responsibilities and required skills for the Senior Data Engineer position. Tailor your application to highlight your relevant experience with AWS, Python, and open-source technologies.
Showcase Your Experience: In your CV and cover letter, provide specific examples of your previous work with data analytics solutions, particularly in a cloud environment. Mention any projects where you contributed to data pipeline architecture or real-time analytics.
Highlight Soft Skills: Macquarie values effective communication and a learning mindset. Make sure to include examples that demonstrate your ability to collaborate with diverse stakeholders and your passion for user experience in your application.
Personalise Your Application: Address your application to the hiring team at Macquarie and express your enthusiasm for the role and the company’s commitment to diversity and inclusion. This personal touch can make your application stand out.
How to prepare for a job interview at Macquarie Group
✨Showcase Your Technical Skills
Be prepared to discuss your experience with AWS cloud and programming in Python. Highlight specific projects where you've implemented data analytics solutions, especially using open-source technologies like Iceberg, Trino, and Airflow.
✨Demonstrate Your Problem-Solving Ability
Macquarie values a can-do attitude. Prepare examples of challenges you've faced in previous roles and how you overcame them, particularly in developing data pipelines or analytics capabilities.
✨Communicate Effectively
Since you'll be working with diverse stakeholders, practice explaining complex technical concepts in simple terms. This will show your ability to bridge the gap between technical and non-technical teams.
✨Emphasise Your Learning Mindset
Macquarie appreciates candidates who are eager to learn and adapt. Share instances where you've taken the initiative to learn new technologies or methodologies that benefited your team or project.