Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop and enhance data analytics capabilities using cloud technologies and open-source tools.
- Company: Join Macquarie Group, a global financial services leader with 56 years of profitability.
- Benefits: Enjoy a supportive team culture, diverse environment, and opportunities for innovation.
- Why this job: Be part of exciting projects that shape the future of data analytics in finance.
- Qualifications: Proficiency in SQL, Python, and experience with AWS and analytics platforms required.
- Other info: We embrace diversity and encourage applicants from all backgrounds to apply.
The predicted salary is between 43200 - 72000 £ 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. 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.
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.
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 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, especially those in the Data and Analytics team. Engaging in conversations about their experiences can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Demonstrate your passion for data and coding by sharing relevant projects or contributions on platforms like GitHub. This not only showcases your technical abilities but also highlights your commitment to continuous learning and improvement.
✨Tip Number 4
Prepare to discuss how you can contribute to enhancing user experience through data analytics solutions. Think of examples where you've successfully implemented user-focused data projects, as this aligns well with the role's requirements.
We think you need these skills to ace Data Engineer - Macquarie Group
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly read the job description for the Data Engineer position at Macquarie Group. Understand the key responsibilities and required skills, such as proficiency in SQL and Python, and experience with AWS cloud and analytics platforms.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job requirements. Emphasise your familiarity with technologies like Redshift, Dataiku, and open-source tools such as Presto and Airflow.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data and coding. Mention specific projects or experiences that demonstrate your ability to work on innovative solutions and your effective communication skills.
Highlight Your Learning Mindset: In your application, convey your learning mindset and can-do attitude. Discuss how you adapt to new challenges and your enthusiasm for contributing to a diverse and inclusive team environment.
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 or Dataiku.
✨Demonstrate Your Passion for Data
Express your enthusiasm for data and coding. Share examples of how you've tackled challenges in previous roles and how you prioritise user experience in your data solutions.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Think about how you would approach real-time analytics or data pipeline issues, and be ready to explain your thought process clearly.
✨Emphasise Your Learning Mindset
Macquarie values a can-do attitude and a willingness to learn. Be ready to discuss how you've adapted to new technologies or methodologies in the past, and how you plan to continue growing in your role as a Data Engineer.
