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- Tasks: Design and build scalable software solutions for AWS, ensuring system reliability and optimising data pipelines.
- Company: Join BMLL, a leading provider of historical data and analytics in a collaborative environment.
- Benefits: Enjoy competitive salary, 25 days holiday, remote work options, and a well-being budget.
- Why this job: Make an impact by working with cutting-edge technology in a dynamic and inclusive culture.
- Qualifications: Experience in cloud computing, Python programming, and teamwork in complex systems.
- Other info: Participate in decision-making and enjoy regular team socials and office snacks!
The predicted salary is between 36000 - 60000 £ per year.
About BMLL:
BMLL is the leading independent provider of harmonised Level 3, 2 and 1 historical data and analytics across global equities, ETFs, futures and US equity options. We provide market participants with immediate access to granular T+1 order book data and advanced analytics, enabling them to accelerate research, optimise trading strategies, and better understand market behaviour.
BMLL was acquired in 2025 by Nordic Capital, alongside minority shareholder Optiver, marking a joint commitment to accelerate the company’s next phase of growth.
We offer an inclusive and collaborative culture, a hybrid working environment that includes regular days in our London office, weekly team lunches, and a variety of out-of-hours social activities.
For more information, visit our website or follow us on X (@bmlltech) and LinkedIn @BMLL.
About the Role
At BMLL, we process terabytes of historical market data every day, for which we have a powerful data processing platform built on AWS to provide best-in-class capacity, scalability and reliability.
We are looking for a Data Platform Engineer to join BMLL\’s Core Engineering team, where you\’ll architect the core platform in which BMLL\’s development teams execute highly complex data pipelines. You\’ll design and build solutions that scale compute to millions of concurrent job executions, optimised to meet performance, efficiency and cost-effectiveness requirements, while ensuring high availability.
Data Platform Engineers bridge the gap between software and infrastructure, and are essential to the success of BMLL\’s technology strategy.
Responsibilities
- Design and build software solutions to scale AWS compute resources to meet application performance requirements.
- Ensure 24/7 system reliability by implementing company and industry best practices in replication, redundancy and monitoring.
- Implement workflow management software, to automate operational tasks and optimise the utilisation of infrastructure and applications.
- Design and implement CI/CD workflows to maintain software quality via continuous and automated deployment and testing.
- Work with development and operations teams to design solutions to complex problems, involving large data pipelines that process terabytes of historical market data, in the most efficient and cost-effective manner.
- Regularly review and assess new tools that become available in the industry and assess how they could be integrated into the platform to continuously improve.
Requirements
Essential
- Industry experience with cloud computing tools and services in complex systems, preferably in AWS.
- Strong Python programming skills.
- Industry experience with software development lifecycle processes and tools.
- Experience working in a Linux environment.
- Experience with Docker.
- Experience with SQL and relational databases.
- Avid learner, problem solver and detail-orientated.
- Excellent teamwork and the ability to communicate and work in multidisciplinary teams in a collaborative manner.
- Computer science or other STEM degree.
- At least two years of industry experience.
Desirable
- Familiarity with distributed systems concepts and tools, such as Spark, Ray, RabbitMQ, Kafka, AWS Batch.
- Familiarity with DevOps practices and tools, such as Terraform.
- Familiarity with job execution and orchestration tools, such as Celery and Airflow.
Benefits
- Competitive salary
- 25 days holiday plus bank holidays
- Discretionary Bonus
- Pension Scheme
- Private Medical Insurance
- Work remotely abroad for up to 40 business days each year
- Life Insurance
- Combination of remote and London based office working, with 2 days in the office per week.
- A yearly Well being Physical Activity budget
- Continuous learning through funded training and challenging projects
- Collaborative culture
- Weekly team lunches
- Free Fruit, snacks, and drinks provided throughout the day (When office based)
- Regular Team Socials
- Cycle to Work Scheme
We are an inclusive employer and welcome applicants from all backgrounds. We pride ourselves on our commitment to Equality and Diversity. We are committed to removing barriers throughout our hiring process. If you have any special requirements or require reasonable adjustments to help you access career opportunities at BMLL, please do let us know
Data Platform Engineer employer: BMLL Technologies
Contact Detail:
BMLL Technologies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Platform Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at BMLL. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got a GitHub or portfolio, make sure to share it. Demonstrating your projects and coding prowess can really set you apart from the crowd.
✨Tip Number 3
Prepare for the interview by brushing up on AWS and Python. We want to see how you tackle real-world problems, so think of examples where you've solved complex issues with data.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Data Platform Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Platform Engineer role. Highlight your experience with AWS, Python, and any relevant tools like Docker or SQL. We want to see how your skills match what we're looking for!
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 team at BMLL. Keep it concise but engaging – we love a good story!
Show Off Your Projects: If you've worked on any cool projects, especially those involving large data pipelines or cloud computing, make sure to mention them. We’re keen to see your hands-on experience and problem-solving skills in action!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the info you need about us and the role there!
How to prepare for a job interview at BMLL Technologies
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially AWS, Python, and Docker. Brush up on your knowledge of cloud computing tools and be ready to discuss how you've used them in past projects.
✨Showcase Problem-Solving Skills
Prepare to discuss specific challenges you've faced in data engineering or software development. Think about how you approached these problems, the solutions you implemented, and the outcomes. This will demonstrate your analytical thinking and ability to tackle complex issues.
✨Emphasise Collaboration
BMLL values teamwork, so be ready to share examples of how you've worked effectively in multidisciplinary teams. Highlight your communication skills and how you’ve contributed to a collaborative environment in previous roles.
✨Ask Insightful Questions
Prepare thoughtful questions about BMLL's data platform and their approach to scaling compute resources. This shows your genuine interest in the role and helps you understand if the company culture aligns with your values.
