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- Tasks: Design and maintain data pipelines for innovative financial datasets.
- Company: Pioneering tech-driven company in the financial sector.
- Benefits: Fully remote work, flexible hours, and a culture of trust.
- Why this job: Shape the future of financial data platforms with cutting-edge technology.
- Qualifications: Experience in data engineering and knowledge of financial markets.
- Other info: Join a collaborative team focused on diversity and inclusion.
The predicted salary is between 48000 - 72000 £ per year.
Are you a skilled Data Engineer with a passion for financial markets? We're working with a pioneering tech-driven company building innovative financial data solutions.
This is an exciting opportunity to join a collaborative and forward-thinking engineering team working on a cutting-edge data platform for financial datasets. You'll help shape how complex market data is processed, structured, and made accessible for analytics, research, and insight generation.
What you'll be doing:
- Designing and maintaining data pipelines
- Working with time-series and structured/unstructured datasets
- Applying your industry know-how within financial data to ensure continual product development
Tech you'll work with:
- Functional programming i.e. Ruby, Python, Elixir
- PostgreSQL
- OpenAPI integrations
- Various data streaming and processing tools
What's in it for you:
- Fully remote working
- Flexible hours
- Trust and ownership
- Chance to build the future of financial data platforms!
Apply now to learn more.
Bright Purple are an equal opportunities employer: we are proud to work with clients who share our values of diversity and inclusion in our industry.
Fixed Incomes Data Engineer in Edinburgh employer: Bright Purple Resourcing
Contact Detail:
Bright Purple Resourcing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Fixed Incomes Data Engineer in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to your connections in the financial tech space and let them know you're on the lookout for opportunities. A friendly chat can sometimes lead to job openings that aren't even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those related to financial datasets. 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 knowledge and industry trends. Be ready to discuss how you've tackled challenges in previous roles, particularly with time-series data or data pipelines.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are excited about joining our innovative team. It shows initiative and enthusiasm!
We think you need these skills to ace Fixed Incomes Data Engineer in Edinburgh
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data pipelines and financial datasets. We want to see how your skills align with the role, so don’t be shy about showcasing your tech know-how!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about financial markets and how you can contribute to our innovative team. Keep it engaging and relevant to the job description.
Showcase Your Technical Skills: We’re keen on seeing your expertise in functional programming languages like Ruby or Python. Mention any projects or experiences where you’ve used these skills, especially in relation to data processing or analytics.
Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at Bright Purple Resourcing
✨Know Your Tech Stack
Make sure you’re familiar with the technologies mentioned in the job description, like Ruby, Python, and PostgreSQL. Brush up on your functional programming skills and be ready to discuss how you've used these tools in past projects.
✨Show Your Financial Market Savvy
Since this role is focused on financial data, it’s crucial to demonstrate your understanding of financial markets. Prepare examples of how you've worked with time-series data or structured/unstructured datasets in a financial context.
✨Prepare for Problem-Solving Questions
Expect to tackle some technical challenges during the interview. Practice explaining your thought process when designing data pipelines or integrating APIs. This will show your analytical skills and how you approach complex problems.
✨Emphasise Collaboration and Flexibility
This company values a collaborative environment, so be ready to discuss how you’ve worked effectively in teams. Highlight your adaptability and willingness to take ownership of projects, especially in a remote setting.
