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- Tasks: Build and automate data pipelines for trading and research systems.
- Company: Specialist investment technology firm with a focus on innovation.
- Benefits: Fully remote work, competitive salary, and collaborative culture.
- Why this job: Make a real impact on financial data visualisation and trading tools.
- Qualifications: Strong technical background in Computer Science, Python, and SQL.
- Other info: Entry-level position with high visibility and growth opportunities.
The predicted salary is between 28800 - 48000 £ per year.
A specialist investment technology firm is seeking a Data Engineer to build and automate data pipelines. This entry-level position will involve creating tools for complex data visualization, directly impacting trading and research systems.
The ideal candidate should have a strong technical background in Computer Science, proficiency in Python and SQL, and a proactive approach to problem-solving regarding financial data.
The role offers high visibility within a collaborative environment and is fully remote.
Remote Data Engineer: Pipelines, Dashboards & Trading Tools employer: Jack & Jill
Contact Detail:
Jack & Jill Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Data Engineer: Pipelines, Dashboards & Trading Tools
✨Tip Number 1
Network like a pro! Reach out to professionals in the investment tech space on LinkedIn. A friendly message can go a long way, and who knows, they might just point you towards your dream job!
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your Python and SQL projects. This is a great way to demonstrate your technical prowess and problem-solving abilities to potential employers.
✨Tip Number 3
Prepare for those interviews! Brush up on common data engineering questions and be ready to discuss how you've tackled challenges in the past. Practice makes perfect, so grab a friend and do some mock interviews!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s super easy to navigate and keeps everything in one place!
We think you need these skills to ace Remote Data Engineer: Pipelines, Dashboards & Trading Tools
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your technical background in Computer Science, especially your proficiency in Python and SQL. We want to see how you can apply these skills to build and automate data pipelines!
Be Proactive: In your application, share examples of how you've tackled problems in the past, particularly with financial data. We love candidates who take initiative and think outside the box!
Tailor Your Application: Don’t just send a generic application! Make it specific to this role by mentioning your interest in creating tools for complex data visualisation and how you can contribute to our trading and research systems.
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!
How to prepare for a job interview at Jack & Jill
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these languages, especially in relation to data pipelines or visualisation tools. This will show that you not only understand the theory but can apply it practically.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in the past. Think about situations where you had to automate processes or improve data flow. Being able to articulate your thought process will demonstrate your proactive approach to problem-solving, which is key for this role.
✨Understand the Financial Context
Since this position involves working with trading and research systems, having a basic understanding of financial data and its implications can set you apart. Do some research on how data impacts trading decisions and be ready to discuss how your work could influence these areas.
✨Emphasise Collaboration
This role is in a collaborative environment, so be prepared to talk about your experience working in teams. Share examples of how you've communicated effectively with colleagues or contributed to group projects. Highlighting your teamwork skills will show that you're a good fit for their culture.
