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- Tasks: Design and implement scalable data architectures for innovative AI products.
- Company: Join Currys, the UK's leading tech retailer with a supportive team culture.
- Benefits: Enjoy a competitive salary, private medical, company pension, and hybrid working.
- Why this job: Make a real impact on technology and the planet while shaping your career.
- Qualifications: Experience in enterprise-scale data architectures and modern data platforms required.
- Other info: Ongoing training and career development opportunities await you.
The predicted salary is between 48000 - 72000 £ per year.
At Currys we’re united by one passion: to help everyone enjoy amazing technology. As the UK’s best-known retailer of tech, we’re proud of the service our customers receive – and it’s all down to our team of 25,000 caring and committed colleagues. Working as one team, we learn and grow together, celebrating the big and small moments that make every day amazing.
As the Data Architect you will design and implement scalable data architectures that support our AI products and analytics capabilities, ensuring optimal performance, reliability, and cost-efficiency across all platforms.
Role overview:
- Design and implement data architectures for new products and capabilities, ensuring scalability, reliability and performance.
- Create technical blueprints for data flows, storage patterns and processing pipelines that meet business needs.
- Evaluate and recommend technology choices that balance performance, cost and future scalability.
- Establish and embed data modelling standards and best practices across engineering teams.
- Optimise existing architectures to improve efficiency, cost effectiveness and resilience.
- Partner with product teams to translate requirements into clear architectural solutions.
- Document architectural decisions and maintain an up-to-date technical design repository.
- Provide architectural guidance and support to engineering teams during implementation.
- Collaborate with enterprise architecture and platform teams to agree hand-offs and ensure alignment.
You will work closely with colleagues across engineering, product, enterprise architecture and transformation to design scalable, secure and cost-efficient data solutions. Partnering with product managers and business stakeholders, you will translate requirements into architectures that unlock value and drive innovation. You will also collaborate with security, compliance and data governance teams to maintain high standards across all platforms and build trusted relationships across the organisation.
You will need:
- Proven experience designing enterprise-scale data architectures in a complex environment.
- Expertise in modern data platforms including Snowflake, Databricks and leading cloud services.
- Strong understanding of event-driven architectures and real-time data processing.
- Experience applying data modelling techniques to both analytical and operational systems.
- Degree in Computer Science, Engineering or a related field.
- Cloud architecture certifications (Azure or GCP) are beneficial.
- Certifications in modern data platforms are desirable.
We know our people are the secret to our success. That’s why we’re always looking for ways to reward great work. You’ll find a host of benefits designed to work for you, including:
- Company Bonus
- Private Medical
- Company Pension
- Hybrid Working
Why join us:
Join our team and we’ll be with you every step of the way, helping you develop the career you want with new opportunities, on-going training and skills for life. Not only can you shape your own future, but you can help take charge of ours too. As the biggest recycler and repairer of tech in the UK, we’re in a position to make a real impact on people and the planet.
Lead Data Engineer in London employer: Currys PLC
Contact Detail:
Currys PLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Currys on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for the interview by brushing up on your knowledge of data architectures and the specific technologies mentioned in the job description. Show us you know your stuff, and don’t forget to have examples ready that highlight your experience!
✨Tip Number 3
Practice makes perfect! Do mock interviews with friends or use online platforms to get comfortable with common questions. The more you practice, the more confident you'll feel when it’s time to shine.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Lead Data Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lead Data Engineer role. Highlight your experience with data architectures and any relevant technologies like Snowflake or Databricks. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our mission at Currys. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Projects: If you've worked on any cool data projects, make sure to mention them! Whether it's a personal project or something from a previous job, we want to see how you've applied your skills in real-world scenarios. It helps us understand your hands-on experience.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role and our company culture there!
How to prepare for a job interview at Currys PLC
✨Know Your Data Architecture Inside Out
Before the interview, make sure you’re well-versed in the latest data architecture trends and technologies, especially those mentioned in the job description like Snowflake and Databricks. Be ready to discuss your past experiences designing scalable data architectures and how they relate to the role.
✨Prepare for Technical Questions
Expect to face technical questions that assess your understanding of event-driven architectures and real-time data processing. Brush up on relevant concepts and be prepared to explain your thought process when designing data flows and storage patterns.
✨Showcase Your Collaboration Skills
This role involves working closely with various teams, so be ready to share examples of how you've successfully collaborated with product managers, engineering teams, and other stakeholders in the past. Highlight your ability to translate complex requirements into clear architectural solutions.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about their current data challenges or how they envision the future of their data architecture. This not only demonstrates your enthusiasm but also helps you gauge if the company is the right fit for you.
