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- Tasks: Join our team to develop innovative data solutions and maintain cloud applications.
- Company: Macquarie is a global financial services group with 56 years of success and diverse opportunities.
- Benefits: Enjoy a supportive work culture, flexible options, and the chance to shape your projects.
- Why this job: Be part of a dynamic team that values your ideas and drives impactful change.
- Qualifications: Strong DevOps background, Python skills, and knowledge of cloud technologies are essential.
- Other info: We embrace diversity and encourage applicants from all backgrounds to apply.
The predicted salary is between 36000 - 60000 £ per year.
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Our Data Services Team offers a variety of data products with a strong focus on engineering, including data science and data analytics, to help our business users, mainly trading teams, make data-driven decisions and improve their business operations.
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 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 our success.
What role will you play?
As a Data Platform Engineer, you will join our dynamic Engineering team developing cutting-edge data product solutions. You will build and maintain applications ranging from cloud infrastructure automation, APIs, query engines, and orchestration platforms. Our flat structure means that you will directly contribute to our strategy while taking ownership of a diverse range of projects utilizing the latest technologies.
What you offer
- A dynamic individual with a strong DevOps and Engineering background
- Proficient in writing infrastructure as code for public cloud
- Experience with Python coding/testing or any Cloud-based technology (AWS preferred)
- Good understanding of Data Observability
- Good understanding of Hosting Platform Linux/Unix (EKS and Container experience is a plus)
- Good understanding of Databases, Data Lakes, and Query Engines, SQL/DDLs is preferred
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 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.
Job ID 16099
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Data Engineer - Data Platform employer: Macquarie Bank Limited
Contact Detail:
Macquarie Bank Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Data Platform
✨Tip Number 1
Familiarise yourself with the latest cloud technologies, especially AWS, as this is a key requirement for the Data Engineer role. Consider exploring online courses or tutorials that focus on infrastructure as code and cloud automation to enhance your skills.
✨Tip Number 2
Showcase your experience with Python coding and testing by working on personal projects or contributing to open-source initiatives. This will not only improve your coding skills but also provide tangible examples to discuss during interviews.
✨Tip Number 3
Gain a solid understanding of data observability and how it impacts data-driven decision-making. You can do this by reading relevant articles or case studies that highlight its importance in engineering roles.
✨Tip Number 4
Network with professionals in the data engineering field through platforms like LinkedIn. Engaging with industry experts can provide insights into the role and may even lead to referrals, increasing your chances of landing the job.
We think you need these skills to ace Data Engineer - Data Platform
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Data Engineer position. Tailor your application to highlight how your skills in DevOps, Python, and cloud technologies align with what Macquarie is looking for.
Craft a Tailored CV: Your CV should reflect your relevant experience and skills. Emphasise your background in infrastructure as code, data observability, and any specific technologies mentioned in the job description, such as AWS or SQL.
Write a Compelling Cover Letter: Use your cover letter to express your enthusiasm for the role and the company. Mention specific projects or experiences that demonstrate your ability to contribute to Macquarie's data products and engineering team.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a Data Engineer role.
How to prepare for a job interview at Macquarie Bank Limited
✨Showcase Your Technical Skills
Be prepared to discuss your experience with cloud technologies, particularly AWS, and demonstrate your proficiency in Python. Bring examples of projects where you've implemented infrastructure as code or worked with data observability.
✨Understand the Company Culture
Familiarise yourself with Macquarie's commitment to diversity, equity, and inclusion. Be ready to discuss how you can contribute to a supportive team environment and share any experiences that highlight your adaptability and teamwork.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving abilities. Practice explaining your thought process clearly and concisely, especially when discussing complex topics like databases, data lakes, and query engines.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the team dynamics. Inquire about the types of projects you'll be working on and how the engineering team collaborates with trading teams to drive data-driven decisions.
