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For Companies 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 55 years of success.
- Benefits: Enjoy a supportive work culture, diverse teams, and opportunities for growth.
- Why this job: Be part of a friendly environment where your ideas shape the future of data analytics.
- Qualifications: Experience with AWS, Python, and open-source technologies is essential.
- Other info: We value diversity and encourage applicants from all backgrounds to apply.
The predicted salary is between 48000 - 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 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?
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.
Senior Data Engineer - Macquarie Group employer: Macquarie Group
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 data analytics team. Engaging in conversations about their experiences can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Demonstrate your passion for user experience and the value of data analytics in your discussions. Be prepared to share examples of how you've successfully implemented data solutions that benefited users or stakeholders in previous roles.
✨Tip Number 4
Showcase your learning mindset and can-do attitude during interviews. Prepare to discuss how you've tackled challenges in past projects and how you adapt to new technologies or methodologies, as this aligns with Macquarie's values.
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.
Craft a Tailored CV: Ensure your CV reflects your experience in data engineering, particularly with batch and real-time analytics solutions. Include specific projects or achievements that demonstrate your technical direction and hands-on development capabilities.
Write a Compelling Cover Letter: In your cover letter, express your passion for data analytics and how you can contribute to Macquarie's goals. Mention your learning mindset and effective communication skills, as these are crucial for collaborating with diverse stakeholders.
Highlight Your Soft Skills: Macquarie values a can-do attitude and effective communication. In your application, provide examples of how you've successfully worked in teams and contributed ideas that drove outcomes, showcasing your ability to thrive in a supportive environment.
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 real-time analytics solutions.
✨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 have benefited your team or project.
