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For Companies At a Glance
- Tasks: Design and build scalable data solutions for real-time business intelligence.
- Company: Join Scopeworker, a leading enterprise SaaS innovator transforming supplier services.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Lead big data challenges and make a real impact on Fortune 100 companies.
- Qualifications: 7+ years in data architecture with strong cloud and ETL skills.
- Other info: Dynamic team environment focused on innovation and data integrity.
The predicted salary is between 43200 - 72000 £ per year.
Qualifications
- Bachelor's or Master's degree in Computer Science, Mathematics or similar field (PhDs will be given preference)
- 7+ years of experience working with massive data
- Strong knowledge of public cloud (AWS)
- Experience with data acquisition (API calls/FTP downloads), ETL, transformation/normalization
- Proficiency in ETL process is mandatory
- Experienced building components for enterprise central data platforms (data warehouses, Operational Data Stores, Access layers with APIs, file extracts, user queries)
- Hands-on experience with SQL, Python, Spark, Kafka
- Excellent communication skills, including a good working proficiency in verbal and written English
About this Job
Scopeworker Business Intelligence real time processes enterprise customer data. We develop and maintain robust and reliable data pipelines to support 24x7 business operations and enable systems, tools, dashboards and data analysts to surface business insights and opportunities. This actionable business intelligence is provided in real time to our Fortune 100 users from data engineers, to analysts and C-Level stakeholders. As a Data Architect, you'll innovate, design, build and automate scalable solutions, massive data sets and bring software engineering experience to the complex process of data processing and data pipeline development. You will lead big data challenges in an agile way and build data models to deliver insightful analytics while ensuring the highest standard of data integrity.
About Scopeworker
Scopeworker is an enterprise SaaS. It automates the Procure-Execute-Pay lifecycle of complex supplier services. This enables an 'Uber' style marketplace for enterprise and a live business intelligence that is truly unique. Scopeworker can be used as a standalone platform or as a digitalization layer over the top of Oracle, SAP or Microsoft Dynamics ERPs. Scopeworker is used by the Fortune 100.
Data Architect in London employer: Scopeworker
Contact Detail:
Scopeworker 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 industry, attend meetups, and engage in online forums. We all know that sometimes it’s not just what you know, but who you know that can land you that Data Architect role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving massive data sets and cloud solutions. We want to see your hands-on experience with SQL, Python, and ETL processes in action!
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex data concepts in simple terms. We need to ensure you can convey your ideas clearly to both technical and non-technical stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to get noticed by us at Scopeworker. Tailor your application to highlight your experience with data pipelines and enterprise data platforms – we’re keen to see how you can innovate with us!
We think you need these skills to ace Data Architect in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Architect role. Highlight your experience with massive data, cloud technologies like AWS, and any relevant projects that showcase your skills in ETL processes and data pipelines.
Showcase Your Skills: Don’t just list your skills; demonstrate them! Use specific examples of how you've used SQL, Python, or Spark in past roles. This helps us see your hands-on experience and how you can contribute to our team.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Explain why you're passionate about data architecture and how your background aligns with our mission at Scopeworker. Keep it engaging and personal to grab our attention.
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’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Scopeworker
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of massive data handling and the specific technologies mentioned in the job description. Be ready to discuss your experience with AWS, SQL, Python, and ETL processes in detail. Prepare examples of how you've tackled big data challenges in previous roles.
✨Showcase Your Communication Skills
Since excellent communication is key for this role, practice explaining complex data concepts in simple terms. Think about how you would present your past projects to non-technical stakeholders. This will demonstrate your ability to bridge the gap between technical and business teams.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve real-world problems related to data architecture. Prepare by thinking through scenarios where you've had to innovate or automate solutions. Use the STAR method (Situation, Task, Action, Result) to structure your answers effectively.
✨Research Scopeworker and Its Market
Familiarise yourself with Scopeworker's services and how they fit into the enterprise SaaS landscape. Understanding their unique marketplace and live business intelligence offerings will help you tailor your responses and show genuine interest in the company during the interview.
