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- Tasks: Support and evolve a large-scale financial data platform using SQL and backend development.
- Company: Harrington Starr, a leading firm in the financial tech space.
- Benefits: Hybrid work model, competitive pay, and valuable industry experience.
- Other info: Contract-based role with opportunities for growth in a fast-paced environment.
- Why this job: Join a dynamic team to modernise systems and enhance performance in finance.
- Qualifications: Expertise in SQL Server and backend development with Python or C#.
The predicted salary is between 50000 - 65000 £ per year.
Harrington Starr is seeking a skilled data engineer in the London Area to support the evolution of a large-scale financial data platform. The ideal candidate will have extensive SQL Server expertise and backend development skills in Python or C#.
You’ll play a crucial role in modernising legacy systems and improving performance while collaborating with engineering and product teams.
This position offers a hybrid work model with 3 days onsite and is contract-based for 6 months.
Trading Data Platform Engineer - AWS, SQL & Backend employer: Harrington Starr
Contact Detail:
Harrington Starr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Trading Data Platform Engineer - AWS, SQL & Backend
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people 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 SQL Server projects or any backend development work you've done in Python or C#. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Brush up on common data engineering questions and be ready to discuss how you've modernised legacy systems in the past. Practice makes perfect, so consider mock interviews with friends or mentors.
✨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 a great way to get noticed by hiring managers who are looking for talent like yours.
We think you need these skills to ace Trading Data Platform Engineer - AWS, SQL & Backend
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your SQL Server expertise and backend development skills in Python or C#. We want to see how your experience aligns with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the opportunity to work on a large-scale financial data platform. Let us know how you can contribute to modernising legacy systems.
Showcase Your Collaboration Skills: Since this role involves working closely with engineering and product teams, make sure to mention any past experiences where you’ve successfully collaborated with others. We love team players who can communicate effectively!
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 regarding your application status!
How to prepare for a job interview at Harrington Starr
✨Know Your SQL Inside Out
Make sure you brush up on your SQL Server skills before the interview. Be prepared to discuss complex queries, performance tuning, and any past projects where you've optimised database performance. This will show that you’re not just familiar with SQL, but that you can leverage it effectively in a financial data platform.
✨Showcase Your Backend Development Skills
Whether you're more comfortable with Python or C#, be ready to talk about your experience in backend development. Bring examples of projects where you’ve built or improved systems, and be prepared to explain your thought process and the technologies you used. This will demonstrate your technical prowess and problem-solving abilities.
✨Understand the Financial Data Landscape
Familiarise yourself with the financial data sector and the specific challenges it faces. Being able to discuss how you can contribute to modernising legacy systems and improving performance will set you apart. It shows that you’re not just a techie, but someone who understands the business context of your work.
✨Prepare for Collaboration Questions
Since this role involves working closely with engineering and product teams, expect questions about teamwork and collaboration. Think of examples where you’ve successfully worked in a team setting, especially in a hybrid work environment. Highlight your communication skills and adaptability, as these are key in a collaborative role.