At a Glance
- Tasks: Build and optimise data infrastructure for critical trading decisions in a fast-paced environment.
- Company: Market-leading trading firm at the forefront of the UK's energy transition.
- Benefits: Up to £60,000 salary, private medical, 30 days leave, and annual ski trips.
- Other info: Collaborative team culture with direct access to leadership and excellent growth opportunities.
- Why this job: Make a real impact on trading strategies with cutting-edge data systems.
- Qualifications: Strong Python and SQL skills, experience in data engineering, and great communication.
The predicted salary is between 60000 - 60000 £ per year.
Are you a Python Engineer looking to work on complex, high-impact data problems in a fast-moving and innovative sector? I'm working with a market-leading trading firm at the heart of the UK's energy transition. They use advanced forecasting and trading technology to help balance the National Grid, playing a crucial role in supporting the UK's decarbonisation efforts.
This is a small, highly skilled team where technology and trading go hand in hand. You'll be building and optimising the internal data infrastructure that powers critical trading decisions. This is a hands-on role with real impact, and your work will be used daily by traders and data scientists.
What they're looking for:
- Strong skills in Python and SQL
- Experience building end-to-end data pipelines (streaming or batch)
- Solid understanding of AWS (EC2, ECS, RDS, S3)
- 2+ years of relevant experience in data engineering
- Great communication skills - comfortable collaborating with traders, devs, and data scientists
- Happy to work onsite in central Bristol most of the time
Nice to have:
- Experience in trading, betting or energy markets
- AWS data engineering tools, Docker, DevOps or Apache suite
- Analytical background and data modelling experience
Why this role?
- Private medical, dental & life assurance
- 30 days annual leave + public holidays
- Cycle-to-Work scheme
- Annual company ski trips & regular socials
- Further training & development opportunities
- Direct access to leadership - no red tape
This is a brilliant opportunity to work with cutting-edge data systems that directly impact trading strategy in a company where your ideas will be heard and your work will make a difference.
If you're interested in this role, or know someone who would be, then please apply to this role and reach out to a. methula@io associates.co. uk
Python Data Engineer: Trading Analytics & Pipelines in Bristol employer: IO Associates
Join a market-leading trading firm in Bristol that is at the forefront of the UK's energy transition, where your role as a Python Data Engineer will directly influence critical trading decisions. Enjoy a vibrant work culture with a small, skilled team, offering excellent benefits such as private medical care, generous annual leave, and opportunities for professional growth, all while contributing to meaningful decarbonisation efforts. With direct access to leadership and a collaborative environment, your innovative ideas will be valued and impactful.
StudySmarter Expert Advice🤫
We think this is how you could land Python Data Engineer: Trading Analytics & Pipelines in Bristol
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to data pipelines or trading analytics. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the trading sector. Be ready to discuss how your experience aligns with their needs, especially around AWS and data engineering.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Python Data Engineer: Trading Analytics & Pipelines in Bristol
Some tips for your application 🫡
Show Off Your Python Skills:Make sure to highlight your Python expertise in your application. We want to see how you've tackled complex data problems before, so share specific examples of projects or challenges you've faced.
Talk About Your Data Pipelines:Since you'll be building end-to-end data pipelines, it's crucial to mention any relevant experience you have with streaming or batch processing. We love seeing how you've optimised data flows in past roles!
AWS Knowledge is Key:Don't forget to mention your familiarity with AWS services like EC2, RDS, and S3. We’re looking for someone who can navigate the cloud with ease, so any hands-on experience will definitely catch our eye.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at IO Associates
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with building data pipelines and any specific projects you've worked on. They’ll likely ask you to solve a problem or explain your thought process, so practice coding challenges to keep your skills sharp.
✨Familiarise Yourself with AWS
Since this role requires a solid understanding of AWS, take some time to review the key services like EC2, RDS, and S3. Be prepared to discuss how you've used these tools in past projects, as well as any challenges you faced and how you overcame them.
✨Communicate Clearly and Confidently
This position involves collaboration with traders and data scientists, so strong communication skills are a must. Practice explaining complex technical concepts in simple terms. Think about how you can convey your ideas clearly and engage with your interviewers during the conversation.
✨Show Your Passion for the Sector
Demonstrate your enthusiasm for the energy transition and trading analytics. Research the company’s role in balancing the National Grid and be ready to share your thoughts on how data engineering can impact decarbonisation efforts. Showing genuine interest can set you apart from other candidates.
