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- Tasks: Design and implement data architectures while collaborating with diverse teams.
- Company: Dynamic tech firm offering a hybrid work model in Croydon.
- Benefits: Competitive daily rate, flexible remote work, and opportunities for professional growth.
- Why this job: Shape the future of data architecture and work on innovative projects.
- Qualifications: Proven experience in data architecture and strong SQL skills required.
- Other info: Join a forward-thinking team with exciting challenges and career advancement.
The predicted salary is between 50400 - 67200 £ per year.
Overview
12 months Hybrid - Croydon x1 day onsite x4 remote £700 - 760 per day inside IR35 - Umbrella only Active SC clearance required
Key skills
- Proven experience as a Data Architect or Senior Data Engineer / Data Modeller.
- Strong expertise in data modelling (conceptual, logical, and physical).
- Experience designing data warehouses and data lake architectures.
- Strong SQL skills and understanding of relational and NoSQL databases.
- Experience with cloud data platforms (AWS, Azure, and/or GCP).
- Knowledge of data integration, ETL/ELT, and streaming architectures.
- Solid understanding of data governance, metadata, and master data concepts.
- Strong communication skills with both technical and non-technical stakeholders.
Nice to have
- Experience with modern analytics and BI platforms.
- Knowledge of big data technologies (e.g. Spark, Hadoop).
- Experience with real-time or event-driven data architectures.
- Familiarity with data cataloguing and lineage tools.
- Experience in regulated or data-sensitive environments.
- Architecture or data certifications (e.g. TOGAF, cloud data certifications).
Data Architect in London employer: Experis - ManpowerGroup
Contact Detail:
Experis - ManpowerGroup Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data field and let them know you're on the hunt for a Data Architect role. You never know who might have the inside scoop on an opportunity or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data modelling projects, cloud architectures, and any cool data solutions you've built. This will give potential employers a taste of what you can do beyond just your CV.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and data governance knowledge. Be ready to discuss your experience with data warehouses and cloud platforms like AWS or Azure. Practice explaining complex concepts in simple terms for non-technical stakeholders.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities that might be perfect for 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 Data Architect in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience as a Data Architect or Senior Data Engineer. We want to see your strong expertise in data modelling and any relevant cloud platforms you've worked with, so don’t hold back!
Showcase Your Skills: When writing your application, emphasise your SQL skills and understanding of both relational and NoSQL databases. We love seeing candidates who can clearly communicate their technical abilities to both techies and non-techies alike.
Be Clear About Your Experience: If you’ve designed data warehouses or data lake architectures, make sure to mention it! We’re looking for solid examples of your work, especially in regulated environments or with big data technologies.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, we love seeing applications come in through our own channels!
How to prepare for a job interview at Experis - ManpowerGroup
✨Know Your Data Inside Out
Make sure you brush up on your data modelling skills, especially conceptual, logical, and physical models. Be ready to discuss your previous experiences designing data warehouses and data lakes, as well as any challenges you've faced and how you overcame them.
✨Show Off Your SQL Skills
Prepare to demonstrate your SQL expertise during the interview. You might be asked to solve a problem or optimise a query on the spot, so practice common SQL scenarios and be ready to explain your thought process clearly.
✨Familiarise Yourself with Cloud Platforms
Since experience with cloud data platforms like AWS, Azure, or GCP is crucial, make sure you can talk about your hands-on experience with these technologies. Highlight any specific projects where you implemented cloud solutions and the impact they had.
✨Communicate Effectively
Strong communication skills are key, especially when dealing with both technical and non-technical stakeholders. Practice explaining complex concepts in simple terms, and be prepared to share examples of how you've successfully collaborated with diverse teams.
