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- Tasks: Join our team to develop and enhance data analytics capabilities using cutting-edge technologies.
- Company: Macquarie Group is a global financial services leader with 56 years of profitability and innovation.
- Benefits: Enjoy a supportive work environment, diverse culture, and opportunities for personal growth.
- Why this job: Be part of a friendly team that values your ideas and drives impactful outcomes in data analytics.
- Qualifications: Proficiency in SQL and Python, experience with AWS, and a passion for data are essential.
- Other info: We embrace diversity and encourage applicants from all backgrounds to apply.
The predicted salary is between 36000 - 60000 £ per year.
Our London Data and Analytics team collaborates closely with traders, desk analysts, and central data teams to deliver data and analytics solutions across our Commodities and Global Markets business lines. We focus on developing data analytics capabilities and solutions, including data catalogues, data science workbenches, visualisation tools, and real-time analytics.
At Macquarie, our advantage is bringing together diverse people and empowering them to shape all kinds of possibilities. You will be part of a friendly and supportive team where everyone - no matter what role - contributes ideas and drives outcomes.
As a Data Engineer, you will work directly with our business to develop and enhance data analytics capabilities. You will work with our public-cloud based data lake, data pipelines for internal operations, and external market data. Your role involves using AWS cloud and analytics platforms such as Redshift, Dataiku, and Alation, as well as open-source technologies like Presto and Airflow. You will ensure that our technical solutions provide real value to our business.
What you offer:
- Proficiency in SQL and Python
- Experience with AWS cloud and analytics platforms such as Redshift, Dataiku, and Alation
- Familiarity with open-source technologies like Presto and Airflow
- A passion for data and coding, with a focus on user experience
- A learning mindset, can-do attitude, and effective communication skills
- The ability to work on innovative projects and respond quickly to business needs
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.
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.
Data Engineer - Macquarie Group employer: Macquarie Group
Contact Detail:
Macquarie Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Macquarie Group
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as AWS, Redshift, Dataiku, and Alation. Having hands-on experience or projects showcasing your skills with these platforms can set you apart from other candidates.
✨Tip Number 2
Network with current or former employees of Macquarie Group on platforms like LinkedIn. Engaging in conversations about their experiences can provide valuable insights into the company culture and expectations, which you can leverage during interviews.
✨Tip Number 3
Demonstrate your passion for data and coding by sharing personal projects or contributions to open-source technologies like Presto and Airflow. This not only showcases your technical abilities but also your enthusiasm for the field.
✨Tip Number 4
Prepare to discuss how you can contribute to innovative projects and respond to business needs. Think of examples from your past experiences where you've successfully adapted to challenges or implemented effective solutions.
We think you need these skills to ace Data Engineer - Macquarie Group
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your proficiency in SQL and Python, as well as your experience with AWS cloud and analytics platforms like Redshift, Dataiku, and Alation. Use specific examples to demonstrate your skills and how they relate to the role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data and coding. Mention your learning mindset and can-do attitude, and explain how you can contribute to innovative projects at Macquarie. Be sure to align your values with their commitment to diversity and inclusion.
Showcase Relevant Projects: If you have worked on any relevant projects involving open-source technologies like Presto and Airflow, be sure to include these in your application. Describe your role in these projects and the impact they had on the business or team.
Proofread and Edit: Before submitting your application, take the time to proofread and edit your documents. Ensure there are no grammatical errors or typos, and that your information is clear and concise. A polished application reflects your attention to detail.
How to prepare for a job interview at Macquarie Group
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in SQL and Python during the interview. Be prepared to discuss specific projects where you've used these skills, especially in relation to AWS cloud services like Redshift and Dataiku.
✨Demonstrate Your Passion for Data
Express your enthusiasm for data and coding. Share examples of how you've approached data challenges in the past and how you prioritise user experience in your solutions.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Think about innovative projects you've worked on and be ready to explain how you responded to business needs quickly and effectively.
✨Emphasise Your Learning Mindset
Macquarie values a can-do attitude and a willingness to learn. Be ready to discuss how you stay updated with new technologies and how you approach continuous learning in your field.
