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- Tasks: Build a data function from scratch and implement scalable Azure-based solutions.
- Company: Leading global investment firm with a focus on technology.
- Benefits: Competitive salary, hybrid working, generous bonuses, and healthcare.
- Other info: Exciting opportunity to grow a team as the data capability matures.
- Why this job: Take ownership in a greenfield environment with autonomy and growth potential.
- Qualifications: Experience in data architecture, SQL, Python, and Azure services.
The predicted salary is between 60000 - 80000 £ per year.
Are you up for the challenge of building up a Data function from scratch? Then this greenfield Data Engineer / Architect opportunity with a leading global investment firm could be the perfect fit for you. You'd take full ownership – setting the strategy, defining the architecture, and implementing scalable Azure-based data solutions across the business. It’s a true greenfield environment with plenty of autonomy, visibility, and scope to grow a team as the data capability matures.
Tech stack you'll be working with:
- SQL and OLTP, OLAP & Spark-based data infrastructure
- Python within Fabric/Synapse environments
- Azure services (Data Lake, Synapse, and Azure DevOps)
- Data modelling, performance tuning, and scalable architecture design
- Microsoft Fabric (Data Factory, Lakehouse, Real-Time Analytics)
Aside from an exciting role, you'll also have a competitive basic salary, hybrid working (3 days in the office), generous bonus packages, healthcare, insurance, and more!
If you think you could be well‑suited to this, I'd love to see you apply below! No up-to-date CV initially required (apply using whatever most recently edited copy you currently have).
Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Information Technology and Engineering
Industries: Financial Services, Investment Management, and Capital Markets
Referrals increase your chances of interviewing at Saragossa by 2x.
Data Architect employer: Saragossa
Contact Detail:
Saragossa Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect
✨Tip Number 1
Network like a pro! Reach out to your connections in the investment tech space and let them know you're on the hunt for a Data Architect role. A friendly chat can lead to insider info or even a referral, which can double your chances of landing that interview.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or any projects showcasing your data architecture prowess, make sure to highlight them during interviews. This is your chance to demonstrate how you can build a data function from scratch and impress potential employers.
✨Tip Number 3
Prepare for those technical questions! Brush up on your SQL, Azure services, and data modelling techniques. Being able to discuss your experience with OLTP, OLAP, and Spark-based infrastructures will show you’re ready to take full ownership of the role.
✨Tip Number 4
Don’t forget to apply through our website! It’s super easy and ensures your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Architect
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with SQL, Azure services, and data architecture in your application. We want to see how you can bring your expertise to the table and help us build a top-notch Data function from scratch!
Tailor Your Application: Don’t just send a generic application! Take a moment to customise your CV and cover letter to reflect the specific requirements of the Data Architect role. This shows us that you’re genuinely interested and have done your homework.
Be Yourself: We love authenticity! Let your personality shine through in your written application. Share your passion for data and technology, and don’t be afraid to show us what makes you unique.
Apply Through Our Website: For the best chance of getting noticed, make sure to apply directly through our website. It’s super easy, and we’ll get your application in front of the right people quickly!
How to prepare for a job interview at Saragossa
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like SQL, Azure services, and Python. Brush up on your knowledge of OLTP, OLAP, and Spark-based data infrastructure, as these will likely come up during the interview.
✨Showcase Your Strategic Thinking
Since this role involves setting the strategy and defining architecture, be prepared to discuss your approach to building a data function from scratch. Think about past experiences where you’ve taken ownership and how you can apply that to this greenfield environment.
✨Prepare for Scenario Questions
Expect questions that ask how you would handle specific challenges in a data architecture role. Prepare examples that demonstrate your problem-solving skills, especially in performance tuning and scalable architecture design.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready about the company’s data strategy or team dynamics. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.