Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Data Engineer, Data Platform

Macquarie
London
3 weeks ago
Create job alert
  • Email

At Macquarie, our Data Services Team drives innovation by delivering a diverse suite of data products that empower data-driven decision-making and enhance operational efficiency. With a strong focus on engineering, data science, and analytics, the team delivers innovative solutions that empower business users primarily trading teams to tackle complex challenges and unlock new opportunities.

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.

What role will you play?

Press space or enter keys to toggle section visibility

As a Data Platform Engineer, you will play a pivotal role in designing, building, and optimising a cutting-edge, petabyte-scale data platform powered by modern cloud technologies.

In this role, you will manage and enhance a petabyte-scale Data Lake and will create secure, efficient, and scalable environments for our data platforms. You will leverage cloud-native technologies and AWS tools such as AWS S3, EKS, Glue, Airflow, Trino, and Parquet, while preparing to adopt Apache Iceberg for even greater performance and flexibility. You'll tackle high-performance data workloads, ensuring seamless execution of massive queries, including 600+ billion-row queries in Redshift, by designing and maintaining robust, scalable infrastructure. Our flat structure means that you will directly contribute to our strategy while taking ownership of a diverse range of projects utilising the latest technologies.

What you offer

Press space or enter keys to toggle section visibility

  • A dynamic individual with a strong Data, DevOps and Engineering background who loves to solve data problems and build automation and CI/CD Pipelines in the data space and cloud infrastructure.
  • Good understanding of modern Data Platforms, Databases, Data Lakes, Data Warehouses and Query Engines, SQL/DDLs
  • Experience with Python coding/testing or any Cloud-based technology (AWS preferred)
  • Good understanding of Hosting Platform Linux/Unix (EKS and Container experience is a plus)

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

Press space or enter keys to toggle section visibility

At Macquarie, you're empowered to shape a career that's rewarding in all the ways that matter most to you. Macquarie employees can access a wide range of benefits which, depending on eligibility criteria, include:

  • 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

Press space or enter keys to toggle section visibility

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

Press space or enter keys to toggle section visibility

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.
#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer I

Senior Data Engineer I

Senior Data Engineer - Financial Data Platform

Senior Data Engineer

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

The Best Free Tools & Platforms to Practise Data Science Skills in 2025/26

Data science continues to be one of the most exciting, high-growth career paths in the UK and worldwide. From predicting customer behaviour to detecting fraud and driving healthcare innovations, data scientists are at the forefront of digital transformation. But breaking into the field isn’t just about having a degree. Employers are looking for candidates who can demonstrate practical data science skills — analysing datasets, building machine learning models, and presenting insights that solve real business problems. The best part? You don’t need to spend thousands on premium courses or expensive software. There are dozens of high-quality, free tools and platforms that allow you to practise data science in 2025. This guide explores the best ones to help you learn, experiment, and build portfolio-ready projects.

Top 10 Skills in Data Science According to LinkedIn & Indeed Job Postings

Data science isn’t just a buzzword — it’s the engine powering innovation in sectors across the UK, from finance and healthcare to retail and public policy. As organisations strive to turn data into insight and action, the need for well-rounded data scientists is surging. But what precise skills are employers demanding right now? Drawing on trends seen in LinkedIn and Indeed job ads, this article reveals the Top 10 data science skills sought by UK employers in 2025. You’ll get guidance on showcasing these in your CV, acing interviews, and building proof of your capabilities.

The Future of Data Science Jobs: Careers That Don’t Exist Yet

Data science has rapidly evolved into one of the most important disciplines of the 21st century. Once a niche field combining elements of statistics and computer science, it is now at the heart of decision-making across industries. Businesses, governments, and charities rely on data scientists to uncover insights, forecast trends, and build predictive models that shape strategy. In the UK, data science has become central to economic growth. From the NHS using data to improve patient outcomes to financial institutions modelling risk, the applications are endless. The UK’s thriving tech hubs in London, Cambridge, and Manchester are creating high demand for data talent, with salaries often outpacing other technology roles. Yet despite its current importance, data science is still in its infancy. Advances in artificial intelligence, quantum computing, automation, and ethics will transform what data scientists do. Many of the most vital data science jobs of the next two decades don’t exist yet. This article explores why new careers are emerging, the roles likely to appear, how current jobs will evolve, why the UK is well positioned, and how professionals can prepare now.