Data Engineer

Data Engineer

London Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Manage digital data products and create solutions in Google Cloud Platform.
  • Company: Currys is the UK's leading tech retailer, committed to inclusivity and sustainability.
  • Benefits: Enjoy hybrid working, company bonuses, private medical, and a pension scheme.
  • Why this job: Join a team that values growth, innovation, and making a positive impact on the planet.
  • Qualifications: Experience with GCP, Python, SQL, and digital data environments is essential.
  • Other info: Be part of a diverse team dedicated to shaping the future of technology.

The predicted salary is between 36000 - 60000 £ per year.

Job Description

This job is with Currys, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

Data Engineer – Digital

Waterloo – Hybrid Working
Full Time

Permanent
Grade 4

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.

This role is to manage digital data products and create data solutions in Google Cloud Platform (GCP) to power analytics and insights for Currys ecommerce. You support the Digital Analytics and Data team to provide web analytics solutions. The responsibility include design, build and maintain scalable, robust and performant data pipelines and related systems that meet technical and functional requirements. Using your programming expertise, you will develop data model and pipelines, identify inefficiencies in existing processes and employ best-practices throughout.

Role overview:

As part of this role, you'll be responsible for:

• Owner of digital product clickstream data, marketing data, and related data pipelines in Google Cloud platform.
• Build, deploy and monitor automated and reliable production pipelines, providing data products in Google Cloud Platform and Microsoft Azure.
• Build, own and enhance the data model and processes, in close collaboration with analysts, data scientists, solution architect and Infosec.
• Transfer datasets and automate the productions between clouds.
• Oversee Google Cloud Platform usage, cost monitoring and setup and manage user access.

This is a fantastic opportunity for problem solvers to hone their coding skill set, gain real business and commercial acumen, apply data and technical skills, and be exposed to large datasets in our cloud environment.

You will need:

• Experience in working in digital data environment, understanding of Adobe analytics and Google analytics clickstream data
• Strong programming skills with Python and SQL
• Experience in Google vertex AI and MLop
• Experience in Google Cloud Platform, Google Cloud Server, Microsoft Azure and Databricks
• Good stakeholder management skills and ability to gather requirements and make suitable business recommendations
• Good understanding of data management and governance concepts (data quality, data observability and metadata management) in large scale data deployments.
• Technology enthusiast, intellectually curious and problem solver

• Candidates MUST have GCP (google cloud platform) experience to be suitable for the role

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.

Every voice has a space at our table and we're committed to making inclusion and diversity part of everything we do, including how we strengthen our workforce. We want to make sure you have a fair opportunity to show us your talents during our application process, so if you need any additional assistance with your application please email careers@currys.co.uk and we'll do our best to help.

#LI-DNI

Data Engineer employer: Currys

At Currys, we pride ourselves on being an inclusive employer that values diversity and fosters a supportive work culture. As a Data Engineer, you'll have the opportunity to work in a hybrid environment, collaborate with talented colleagues, and develop your skills while contributing to meaningful projects that impact both our customers and the planet. With benefits like a company bonus, private medical care, and a commitment to employee growth, Currys is dedicated to helping you thrive in your career.
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Contact Detail:

Currys Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Engineer

✨Tip Number 1

Familiarise yourself with Google Cloud Platform (GCP) and its services, especially those related to data engineering. Being able to discuss specific GCP tools and how you've used them in past projects will show your expertise and readiness for the role.

✨Tip Number 2

Brush up on your Python and SQL skills, as these are crucial for the Data Engineer position. Consider working on personal projects or contributing to open-source projects that involve building data pipelines to demonstrate your coding abilities.

✨Tip Number 3

Network with current or former employees of Currys, especially those in data roles. They can provide insights into the company culture and expectations, which can help you tailor your approach during interviews.

✨Tip Number 4

Prepare to discuss your experience with data governance and management concepts. Be ready to share examples of how you've ensured data quality and observability in previous roles, as this is a key aspect of the job.

We think you need these skills to ace Data Engineer

Python Programming
SQL Proficiency
Google Cloud Platform (GCP)
Google Vertex AI
Machine Learning Operations (MLOps)
Data Pipeline Development
Data Modelling
Adobe Analytics
Google Analytics
Stakeholder Management
Data Management and Governance
Data Quality Assurance
Data Observability
Metadata Management
Cloud Cost Monitoring

Some tips for your application 🫡

Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Data Engineer position at Currys. Familiarise yourself with the technologies mentioned, such as Google Cloud Platform, Python, and SQL.

Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job description. Emphasise your programming expertise, experience with data pipelines, and any familiarity with digital analytics tools like Adobe and Google Analytics.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for technology and problem-solving. Mention specific projects or experiences that demonstrate your ability to manage data products and collaborate with teams effectively.

Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail.

How to prepare for a job interview at Currys

✨Showcase Your Technical Skills

Make sure to highlight your experience with Google Cloud Platform, Python, and SQL during the interview. Be prepared to discuss specific projects where you've built data pipelines or worked with large datasets, as this will demonstrate your technical expertise.

✨Understand the Company’s Data Needs

Research Currys and their digital data environment. Familiarise yourself with their use of Adobe and Google Analytics, and be ready to discuss how you can contribute to their analytics solutions and improve existing processes.

✨Prepare for Problem-Solving Questions

Expect questions that assess your problem-solving abilities. Think of examples where you've identified inefficiencies in data processes and how you implemented best practices to resolve them. This will show your analytical thinking and initiative.

✨Demonstrate Stakeholder Management Skills

Since good stakeholder management is crucial for this role, prepare to discuss how you've gathered requirements from various stakeholders in the past. Share examples of how you made business recommendations based on data insights, showcasing your communication skills.

Data Engineer
Currys
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  • Data Engineer

    London
    Full-Time
    36000 - 60000 £ / year (est.)

    Application deadline: 2027-08-20

  • C

    Currys

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