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For Companies At a Glance
- Tasks: Design and evolve cloud-native platforms for data management and AI capabilities.
- Company: Join Macquarie, a global financial services leader with a supportive culture.
- Benefits: Enjoy 25+ days of leave, paid parental leave, and wellness initiatives.
- Why this job: Make a real impact on data accessibility and user productivity in a dynamic environment.
- Qualifications: Strong Python skills and experience with AWS and containerised services.
- Other info: Diverse and inclusive workplace with excellent career development opportunities.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Join the team building the cloud‑native platforms that power how our organisation accesses, manages and uses data. In this role, you design and evolve the strategic infrastructure behind our enterprise data ecosystem, creating tools and capabilities that make data reliable, discoverable and AI‑enabled for users across the organisation.
What role will you play?
As a Data Platform Engineer, you develop and maintain the core platform infrastructure that underpins tools such as Dataiku, Soda and Alation, ensuring they run securely, reliably and at scale. You design cloud‑native services and containerised workloads on Amazon EKS, optimise platform performance and resilience, and manage integrations that connect platform tools with underlying data systems. You build automation, CI/CD pipelines and infrastructure‑as‑code frameworks to streamline deployments and maintain consistent, well‑governed environments. Working directly with data scientists, analysts and business users, you help them make effective use of the platform, offering guidance, training and documentation that support adoption and best practices. You strengthen observability, metadata and catalogue capabilities, and shape the evolution of our platform through thoughtful enhancements informed by user feedback. You also explore AI and agentic capabilities that can improve user productivity and platform intelligence.
What you offer
- Strong Python programming ability, with experience developing automation, platform utilities or integrations
- Hands‑on experience running containerised services on Amazon EKS or similar Kubernetes platforms
- Proficiency with AWS services, cloud CI/CD tooling and infrastructure‑as‑code tools such as Terraform or CloudFormation
- Experience working with enterprise data platforms such as Dataiku, Soda or Alation
- Strong communication skills with the ability to support non‑technical users and contribute to a positive platform experience
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.
What we offer
- 1 wellbeing leave day per year and a minimum of 25 days of annual leave.
- 26 weeks’ paid parental leave for primary caregivers along with 12 days of paid transition leave upon return to work and 6 weeks’ paid leave for secondary caregivers
- Paid fertility leave for those undergoing or supporting fertility treatment
- 2 days of paid volunteer leave and donation matching
- Access to a wide range of salary sacrificing options
- Benefits and initiatives to support your physical, mental and financial wellbeing including comprehensive medical and life insurance cover
- Access to our Employee Assistance Program, a robust behavioural health network with counselling and coaching services
- Access to a wide range of learning and development opportunities, including reimbursement for professional membership or subscription
- Access to company funded emergency and backup dependent care services
- Recognition and service awards
- Hybrid and flexible working arrangements, dependent on role
- Reimbursement for work from home equipment
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.
Data Platform Engineer, Senior Associate in London employer: Macquarie Bank Limited
Contact Detail:
Macquarie Bank Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Platform Engineer, Senior Associate in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Macquarie on LinkedIn or through mutual connections. A friendly chat can give you insider info and might even lead to a referral, which is always a bonus!
✨Tip Number 2
Show off your skills in action! If you’ve got a portfolio or GitHub with projects related to data platforms, make sure to highlight them during interviews. It’s a great way to demonstrate your expertise and passion for the role.
✨Tip Number 3
Prepare for those technical interviews! Brush up on your Python and AWS knowledge, and be ready to discuss how you've tackled challenges in previous roles. We want to see how you think and solve problems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Macquarie team!
We think you need these skills to ace Data Platform Engineer, Senior Associate in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your strong Python programming ability and any hands-on experience with containerised services on Amazon EKS. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for the Data Platform Engineer position. Mention specific tools like Dataiku, Soda, or Alation that you’ve worked with, as this will show us you’re a great fit for our team.
Communicate Clearly: Since you'll be supporting non-technical users, it’s important to demonstrate your communication skills in your application. Use clear language and examples that showcase how you can make complex concepts easy to understand.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Macquarie Bank Limited
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, AWS services, and container orchestration with Amazon EKS. Brush up on your experience with tools like Dataiku, Soda, and Alation, as these will likely come up during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've designed or optimised platform infrastructure. Think about challenges you've faced and how you overcame them, particularly in relation to automation and CI/CD pipelines. This will demonstrate your hands-on experience and critical thinking.
✨Communicate Clearly
Since you'll be working with non-technical users, practice explaining complex concepts in simple terms. Be ready to share how you've supported users in the past, whether through training, documentation, or direct assistance. Good communication is key to a positive platform experience.
✨Emphasise Collaboration
Macquarie values teamwork, so be prepared to discuss how you've collaborated with data scientists, analysts, and other stakeholders. Share examples of how you’ve gathered user feedback to enhance platform capabilities, showing that you can work effectively within a diverse team.
