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- Tasks: Develop scalable data infrastructure and enhance ETL/ELT pipelines for a global fintech company.
- Company: Join a leading fintech firm focused on innovative data-driven solutions.
- Benefits: Fully remote work, competitive salary, and opportunities for professional growth.
- Why this job: Make an impact in the fintech world while working from anywhere in the UK.
- Qualifications: 2–4 years of SQL experience and strong Java programming skills required.
- Other info: Be part of a dynamic team that values innovation and collaboration.
The predicted salary is between 36000 - 60000 £ per year.
A global fintech company is looking to hire a Data Engineer who will be responsible for developing scalable data infrastructure and enhancing ETL/ELT pipelines. The ideal candidate has 2–4 years of experience with SQL and strong Java programming skills. This fully remote position allows you to work from anywhere in the UK and offers opportunities for growth and innovation in a dynamic team focused on data-driven solutions that enhance decision-making for merchants worldwide.
Remote Data Engineer: Build Scalable Fintech Pipelines employer: Eden Scott
Contact Detail:
Eden Scott Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Data Engineer: Build Scalable Fintech Pipelines
✨Tip Number 1
Network like a pro! Reach out to folks in the fintech space on LinkedIn or join relevant online communities. 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 data engineering projects, especially those involving SQL and Java. This will give potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when building scalable pipelines – it’s all about demonstrating your problem-solving skills!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Remote Data Engineer: Build Scalable Fintech Pipelines
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL and Java, as these are key skills we're looking for. Customising your CV to match the job description shows us you’re serious about the role!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data engineering and how your skills can help us build scalable fintech pipelines. A personal touch goes a long way in making your application stand out!
Showcase Your Projects: If you've worked on any relevant projects, whether in a professional setting or as personal endeavours, be sure to mention them. We love seeing practical examples of your work and how you’ve tackled challenges in data infrastructure.
Apply Through Our Website: For the best chance of getting noticed, apply directly through our website. It’s the easiest way for us to keep track of your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Eden Scott
✨Know Your Tech Stack
Make sure you brush up on your SQL and Java skills before the interview. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Understand ETL/ELT Processes
Since the role focuses on enhancing ETL/ELT pipelines, be prepared to explain your understanding of these processes. Think about how you've implemented or improved data pipelines in the past and be ready to share those experiences.
✨Showcase Your Problem-Solving Skills
Data engineering often involves troubleshooting and optimising systems. Prepare examples of how you've tackled complex data issues or improved data flow in previous roles. This will demonstrate your analytical thinking and adaptability.
✨Emphasise Team Collaboration
As this position is part of a dynamic team, highlight your experience working collaboratively with others. Share instances where you’ve contributed to team projects or worked cross-functionally to achieve data-driven solutions.
