At a Glance
- Tasks: Own the data architecture and design enterprise data strategy in a fast-growing environment.
- Company: A dynamic UK-based private equity firm focused on technology, healthcare, and financial services.
- Benefits: Competitive salary up to £150,000, hybrid work model, and senior exposure from day one.
- Other info: Opportunity to define the roadmap and build modern data solutions.
- Why this job: Make a real impact by shaping the future of data in a growing firm.
- Qualifications: Strong experience in data architecture, Azure, SQL, Python, and enterprise data governance.
The predicted salary is between 120000 - 150000 £ per year.
You're stepping into a fast growing data environment and owning the architecture from the ground up.
This is a UK-based European mid-market private equity firm, backing entrepreneurial management teams across technology, healthcare and financial services.
The data and product capability is growing, and there's a genuine appetite to do this properly.
You'll be sitting as number two to the Director of Technology, which means real influence, real ownership, and a direct line into how data shapes the business going forward.
You're not inheriting a finished platform.
You're defining the roadmap, professionalising what exists, and building something modern that the whole firm can rely on.
Day to day, you'll be designing and delivering enterprise data strategy, building out cloud data platforms on Azure, and bringing together siloed data sources into something coherent and scalable.
You'll be hands‑on with the engineering while also advising at a strategic level, working across multiple business functions and bringing stakeholders with you.
This is the kind of role where your decisions actually stick.
The environment is hybrid, three days in the office and two from home. It's a permanent position with senior exposure from day one.
When it comes to what you'll bring, you'll have strong data architecture experience across modern cloud platforms, a track record of building and optimising data lakes or data platforms, and solid hands‑on capability with Azure, SQL and Python.
You'll know your way around ELT and ETL pipelines and you'll have worked with enterprise data governance frameworks.
A background in financial services or a related environment will serve you well here.
Ready to shape something that hasn't been defined yet?
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Lead Data Architect - Private Equity - up to £150,000 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 Lead Data Architect - Private Equity - up to £150,000 in London
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We think you need these skills to ace Lead Data Architect - Private Equity - up to £150,000 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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Saragossa, 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.
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!
How to prepare for a job interview at Saragossa
✨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!
✨Showcase Your Projects
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
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Saragossa!
✨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.
