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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.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make an impact with Fortune 100 clients and tackle big data challenges.
- Qualifications: 7+ years in data architecture, strong cloud and ETL skills required.
- Other info: Dynamic team environment with a focus on innovation and data integrity.
The predicted salary is between 48000 - 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 (Hiring Immediately) in London employer: Scopeworker
Contact Detail:
Scopeworker Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect (Hiring Immediately) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and join online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data pipelines and cloud solutions. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and practising common interview questions. Be ready to discuss your experience with SQL, Python, and ETL processes in detail – they’ll want to see your expertise in action!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure 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 (Hiring Immediately) 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 your proficiency in ETL processes. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include specific projects where you've built components for enterprise data platforms. Talk about your hands-on experience with SQL, Python, Spark, and Kafka. This will help us understand your practical skills 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 let your personality come through!
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 tools mentioned in the job description, like SQL, Python, and Spark. Be ready to discuss your past experiences with these technologies and how you've used them to solve real-world problems.
✨Showcase Your Cloud Expertise
Since strong knowledge of public cloud (AWS) is crucial, prepare to talk about your experience with AWS services. Think of specific projects where you utilised AWS for data acquisition or ETL processes, and be ready to explain your approach and the outcomes.
✨Communicate Clearly and Confidently
Excellent communication skills are a must, so practice articulating your thoughts clearly. Prepare to explain complex data concepts in simple terms, as you may need to communicate with non-technical stakeholders. Consider doing mock interviews to refine your delivery.
✨Prepare for Problem-Solving Questions
Expect to face scenario-based questions that test your problem-solving abilities in big data challenges. Think of examples from your previous roles where you innovated or automated solutions, and be ready to walk through your thought process step-by-step.