At a Glance
- Tasks: Design and shape data platforms for a leading investment organisation.
- Company: Join one of the UK's most significant investment firms with a focus on innovation.
- Benefits: Earn up to £120k, enjoy 28 days leave, bonuses, and flexible working.
- Other info: Opportunity for career growth in a dynamic tech environment.
- Why this job: Make a real impact on data architecture that supports £40 billion in assets.
- Qualifications: Experience in MS SQL, data modelling, and ETL/ELT processes.
The predicted salary is between 120000 - 120000 £ per year.
You're stepping into architectural ownership of a data ecosystem that sits at the heart of one of the UK's most significant investment organisations.
This is a hands-on role where you're designing and shaping the data platforms that power Member Services, Finance and Pension Investment Management.
You're not maintaining someone else's vision here.
You're defining how data flows, how it's modelled and how it supports decisions across an organisation responsible for safeguarding and investing around £40 billion in assets.
You'll be working across investment data, operational reporting, analytics and regulatory requirements, translating complex business needs into scalable, well-architected solutions.
There's real involvement in the wider technology and AI strategy too, so your thinking will reach well beyond the immediate data layer.
The organisation administers several pension schemes, including one of the UK's largest and longest established investment funds.
The scale is significant and the impact of getting the architecture right is felt across the whole business.
On the technical side, you're working with MS SQL and Microsoft Fabric or similar modern platforms.
You're strong on data modelling across warehousing, reporting and analytics, and you know how to design for investment operations.
Your understanding of data integration and ETL/ELT is solid, and you can move comfortably between a technical conversation and a business one.
The package includes up to £120k, 28 days annual leave plus bank holidays, a generous bonus plan, life assurance, health cash plan, electric vehicle leasing, cycle to work, paid volunteering days, and hybrid and flexible working.
Ready to own the architecture on a data platform that actually matters?
Get in touch.
No up-to-date CV required.
SQL Developer - Investment Management - Up to £120k in London employer: Saragossa
Saragossa is an exceptional employer that fosters a dynamic and collaborative work culture, where innovation and creativity are highly valued. Located in a vibrant energy market, employees benefit from extensive professional growth opportunities, including training in advanced analytical tools and exposure to diverse structured transactions. Join us to be part of a forward-thinking team that not only supports your career development but also encourages meaningful contributions to the energy sector.
StudySmarter Expert Advice🤫
We think this is how you could land SQL Developer - Investment Management - Up to £120k in London
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We think you need these skills to ace SQL Developer - Investment Management - Up to £120k in London
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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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Saragossa. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
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✨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.
