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- Tasks: Join a project to build a greenfield data warehouse and enhance the data platform.
- Company: Work with a leading financial services firm focused on investment decisions.
- Benefits: Enjoy hybrid working, earning up to £700 per day for a 6-month contract.
- Why this job: Be part of a dynamic team impacting risk and trading analytics in finance.
- Qualifications: Proficient in SQL, with knowledge of Python or Java; financial services background required.
- Other info: No up-to-date CV needed to apply!
The predicted salary is between 50000 - 70000 £ per year.
Looking for your next contract with a financial services firm? You’ll be a key resource on this project, building a greenfield data warehouse and improving the firm's data platform that will streamline investment decisions in the risk and trading analytics team.
You’re going to need the following technical skills:
- Proficient in SQL and experienced with various database technologies.
- Knowledge of Python or Java, with the ability to leverage either in building scalable solutions.
- Experience with Airflow and other big data technologies is useful.
- Familiarity with DevOps practices and tools, including CI/CD pipelines.
- Previous experience with reporting tools is helpful.
The candidate will need a background in financial services. This is an initial 6-month contract, Inside IR35, paying up to £700 per day. Hybrid working on offer - 3/2 day working split. Based in Central London.
Ready for your next contract? Get in touch. No up-to-date CV required.
Data Software Engineer - Inside IR35 - Contract employer: Saragossa
Contact Detail:
Saragossa Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Software Engineer - Inside IR35 - Contract
✨Tip Number 1
Network with professionals in the financial services sector. Attend industry meetups or webinars to connect with potential colleagues and decision-makers who might be involved in hiring for this role.
✨Tip Number 2
Showcase your technical skills through personal projects or contributions to open-source platforms. This can demonstrate your proficiency in SQL, Python, or Java, and highlight your ability to build scalable solutions.
✨Tip Number 3
Familiarise yourself with the latest trends in data warehousing and big data technologies. Being able to discuss recent advancements or tools like Airflow during conversations can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your experience with DevOps practices and CI/CD pipelines. Be ready to provide examples of how you've implemented these in past projects, as this is a key aspect of the role.
We think you need these skills to ace Data Software Engineer - Inside IR35 - Contract
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Python or Java, and any relevant big data technologies. Emphasise your background in financial services to align with the job requirements.
Craft a Strong Cover Letter: Write a cover letter that specifically addresses the role of Data Software Engineer. Mention your experience with data warehouses and how you can contribute to improving the firm's data platform.
Showcase Technical Skills: In your application, clearly outline your proficiency in SQL and any experience with Airflow or DevOps practices. Providing examples of past projects where you've used these skills can strengthen your application.
Highlight Contract Experience: Since this is a contract position, mention any previous contract roles you've held, especially in financial services. This shows your adaptability and readiness for short-term projects.
How to prepare for a job interview at Saragossa
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in SQL and any experience you have with database technologies. Be prepared to discuss specific projects where you've used Python or Java to build scalable solutions, as this will demonstrate your technical capabilities.
✨Demonstrate Financial Services Knowledge
Since the role requires a background in financial services, be ready to talk about your previous experiences in this sector. Discuss how your understanding of investment decisions and risk analytics can contribute to the firm's goals.
✨Familiarity with Big Data Technologies
If you have experience with Airflow or other big data technologies, make sure to mention it. Prepare examples of how you've used these tools to improve data workflows or analytics processes in past roles.
✨Understand DevOps Practices
Since familiarity with DevOps practices and CI/CD pipelines is important, be prepared to explain how you've implemented these in your previous work. Discuss any tools you've used and how they helped streamline development processes.
