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- Tasks: Manage and modernise Hadoop clusters while driving cloud migration for a leading bank.
- Company: Join a top UK banking client undergoing a major data transformation.
- Benefits: Competitive day rate, flexible work location, and opportunities for professional growth.
- Why this job: Be at the forefront of data engineering and make a real impact in finance.
- Qualifications: Hands-on experience with Hadoop tools and a passion for data engineering.
- Other info: Dynamic role with exposure to cutting-edge cloud technologies.
The predicted salary is between 43200 - 72000 £ per year.
Location: Edinburgh or London (1-2 days per week on-site)
Contract - day rate 6 Month Contract
Our UK leading banking client is undergoing a major enterprise data transformation, and we are looking for a skilled Hadoop Platform Engineer to help shape and evolve the future of our data ecosystem. If you are passionate about data engineering at scale, modernisation, and cloud migration, this is a unique opportunity to work at the heart of one of the UK’s largest financial institutions.
The Role
As a Hadoop Platform Engineer, you will play a key role in supporting, maintaining, and modernising our on-premise HDFS-based Data Lake and associated Hadoop ecosystem components. You will also help drive the strategic migration of our Hadoop workloads to the cloud, contributing to enterprise-wide simplification and transformation initiatives. You will work across our data engineering community, ensuring our platforms remain robust, secure, and high-performing as we transition to the next generation of data capabilities.
What You’ll Be Doing
- Managing and maintaining large-scale Hadoop clusters across on-prem environments
- Supporting and optimising our HDFS-based Data Lake and adjacent platform components
- Working with technologies including Hadoop, Spark, HDFS, YARN, Hive, Oozie, and related tooling
- Partnering with engineering teams to deliver scalable, high-quality data solutions
- Contributing to our cloud migration strategy, helping move legacy workloads into modern cloud platforms
- Driving platform simplification and engineering excellence across distributed systems
- Supporting enterprise data transformation activities that enable the bank’s strategic objectives
- Ensuring stability, performance, and security of critical data services
What We’re Looking For
- Strong hands-on experience with Hadoop ecosystem tools (HDFS, Spark, Hive, Oozie, YARN, etc.)
- Experience operating and supporting large, complex, distributed clusters
- Understanding of data engineering principles and data platform design
- Experience with on-prem Hadoop environments and ideally cloud-based data platforms
- Exposure to cloud technologies (AWS, Azure, or GCP)
- Ability to troubleshoot complex platform issues across networking, compute, and storage layers
- A proactive mindset and desire to contribute to large-scale transformation work
- Open to applicants from a variety of industries and backgrounds
Hadoop Platform Engineer employer: Lorien
Contact Detail:
Lorien Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hadoop Platform Engineer
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even local tech events. We all know that sometimes it’s not just what you know, but who you know that can help land that dream job.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your projects or contributions to open-source. We want to see your hands-on skills with Hadoop and related tools in action!
✨Ace the Interview
Prepare for those tricky technical questions! Brush up on your knowledge of Hadoop, Spark, and cloud technologies. We recommend practicing with friends or using mock interviews to build your confidence before the big day.
✨Apply Through Our Website
Make sure to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive and eager to join our team!
We think you need these skills to ace Hadoop Platform Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your hands-on experience with Hadoop ecosystem tools like HDFS, Spark, and Hive. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how you can contribute to our cloud migration strategy. Keep it concise but impactful – we love a good story!
Showcase Your Problem-Solving Skills: In your application, highlight instances where you've tackled complex platform issues. We’re looking for a proactive mindset, so share examples that demonstrate your troubleshooting abilities across networking, compute, and storage layers.
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 this exciting opportunity. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Lorien
✨Know Your Hadoop Inside Out
Make sure you brush up on your knowledge of Hadoop ecosystem tools like HDFS, Spark, and Hive. Be ready to discuss your hands-on experience with these technologies, as well as any challenges you've faced while managing large-scale clusters.
✨Showcase Your Cloud Migration Experience
Since the role involves cloud migration, be prepared to talk about any previous experiences you've had with moving workloads to cloud platforms like AWS, Azure, or GCP. Highlight specific projects where you contributed to simplifying and modernising data solutions.
✨Demonstrate Problem-Solving Skills
Expect questions that test your troubleshooting abilities across networking, compute, and storage layers. Prepare examples of complex platform issues you've resolved in the past, showcasing your proactive mindset and engineering excellence.
✨Engage with the Data Engineering Community
This role requires collaboration with various engineering teams. Be ready to discuss how you've partnered with others to deliver scalable data solutions and how you can contribute to the bank's strategic objectives through enterprise data transformation.
