At a Glance
- Tasks: Integrate complex financial systems and ensure reliable data flow across platforms.
- Company: Join a leading fintech company transforming the financial services landscape.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic work environment with exposure to cutting-edge financial technologies.
- Why this job: Play a crucial role in shaping data integration for impactful financial solutions.
- Qualifications: Strong Python and SQL skills, with experience in system integrations.
The predicted salary is between 63000 - 77000 £ per year.
Role Overview
This role focuses on integrating complex financial systems and data sources into centralised platforms used across analytics, reporting, and operations.
You’ll play a key role in ensuring data flows reliably across a multi-system fintech landscape.
Key Responsibilities
- Build and maintain integrations across internal and third-party systems
- Develop scalable ETL processes using Python and SQL
- Work with APIs, batch pipelines, and data feeds
- Monitor and improve data integrity
- Support system migrations and upgrades
- Required Experience
- Strong Python and SQL skills
- Experience with system and data integrations
- API and data pipeline experience
- Financial services or fintech background
- Cloud platform exposure
- Nice to Have
- Messaging or streaming technologies
- Financial reference data knowledge
- Data quality tooling experience
- Why Join
- Core integration ownership
- Exposure to complex financial ecosystems
- High-impact, business-critical role
- #J-18808-Ljbffr
Data Integration Engineer – Financial Services employer: EC1 Partners
EC1 Partners is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration among talented professionals in the heart of London. With a strong focus on employee growth, we provide ample opportunities for skill development and career advancement, all while working on cutting-edge high-frequency trading technologies that make a significant impact in the financial markets.
StudySmarter Expert Advice🤫
We think this is how you could land Data Integration Engineer – Financial Services
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We think you need these skills to ace Data Integration Engineer – Financial Services
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at EC1 Partners, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
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How to prepare for a job interview at EC1 Partners
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
