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- Tasks: Design and build scalable data pipelines for enterprise clients using AWS.
- Company: Leading enterprise SaaS provider in the UK with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Lead big data challenges and deliver insights to Fortune 100 companies.
- Qualifications: 7+ years of experience with AWS, SQL, Python, and data processing skills.
- Other info: Join a dynamic team and make a significant impact in the tech industry.
The predicted salary is between 54000 - 84000 £ per year.
A leading enterprise SaaS provider in the UK is seeking a Data Architect to innovate, design, and build scalable data pipelines for enterprise clients. You will work with massive datasets and ensure data integrity while providing actionable business intelligence.
The ideal candidate has over 7 years of experience with cloud technologies (AWS) and hands-on proficiency in SQL, Python, and data processing. This role comes with opportunities to lead big data challenges, delivering insights to Fortune 100 users.
Senior Data Architect — Real-Time Pipelines on AWS in City of London employer: Scopeworker
Contact Detail:
Scopeworker Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Architect — Real-Time Pipelines on AWS in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work with AWS or data architecture. A friendly chat can lead to insider info about job openings that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving real-time data pipelines and big data challenges. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and Python skills. Be ready to discuss how you've tackled data integrity issues in the past and how you can deliver actionable insights. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented folks like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Senior Data Architect — Real-Time Pipelines on AWS in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS, SQL, and Python. We want to see how your skills align with the role of a Senior Data Architect, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about building scalable data pipelines and how your past experiences have prepared you for this role. We love a good story!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled big data challenges in the past. We’re looking for someone who can innovate and lead, so let us know how you’ve delivered actionable insights before!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at Scopeworker
✨Know Your Tech Inside Out
Make sure you brush up on your AWS knowledge, especially around real-time data pipelines. Be ready to discuss your hands-on experience with SQL and Python, as well as any specific projects where you've tackled big data challenges.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've innovated or improved data processes in previous roles. Think about specific scenarios where you provided actionable business intelligence and how that impacted the organisation.
✨Understand the Company’s Needs
Research the enterprise SaaS provider and their client base. Tailor your responses to show how your skills can directly benefit their operations and help them tackle their unique data challenges.
✨Ask Insightful Questions
Prepare thoughtful questions that demonstrate your interest in the role and the company. Inquire about their current data architecture, challenges they face, and how they envision the future of their data strategy.
