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For Companies At a Glance
- Tasks: Design and build scalable data pipelines for a major retail transformation project.
- Company: Join a leading retail company with a focus on innovation and collaboration.
- Benefits: Competitive daily rate, hybrid working, and opportunities for mentorship.
- Why this job: Work with cutting-edge cloud technologies and make a real impact in data engineering.
- Qualifications: Experience with Snowflake, DBT, SQL, and cloud platforms like AWS or Azure.
- Other info: Be part of a dynamic team with multiple positions available for growth.
The predicted salary is between 60000 - 84000 £ per year.
Contract: 6 months
Location: London - EC1M (Hybrid - minimum 2 days per week onsite)
Rate: £425/day (Inside IR35)
Start: ASAP
Positions: 4
The Opportunity
We are looking for experienced Senior Data Engineers to join a large-scale retail data transformation programme. You will work on modern cloud data platforms, building robust, scalable data pipelines that power analytics, reporting, and downstream data products. This is a hands-on role with strong exposure to Snowflake, DBT, cloud platforms (AWS/Azure) and modern engineering best practices. You will collaborate closely with architects, analysts, and business stakeholders, and play a key role in setting technical standards within the team.
Key Responsibilities
- Design, develop, and maintain scalable ETL/ELT pipelines
- Build and optimise data transformations using DBT and SQL
- Implement and maintain data models (Data Vault experience highly desirable)
- Monitor, troubleshoot, and optimise production data pipelines
- Work with Snowflake to deliver high-performance analytics solutions
- Collaborate with cross-functional teams to translate business requirements into technical solutions
- Support data governance, data quality, and best engineering practices
- Mentor junior engineers and contribute to technical decision-making
Essential Skills & Experience
- Strong hands-on experience as a Senior Data Engineer
- Snowflake data warehouse experience
- DBT for data transformation and modelling
- Advanced SQL and Python
- Experience building pipelines using Airflow (or similar orchestration tools)
- Cloud experience on AWS and/or Azure
- Infrastructure-as-code exposure (e.g. Terraform)
- Git-based version control (GitHub, Azure DevOps)
- Strong communication and stakeholder engagement skills
Desirable Experience
- Data Vault (DV 2.0) modelling
- Data governance tools (e.g. Alation)
- Azure Data Lake, Delta Lake, Redis
- CI/CD using GitHub Actions or Azure DevOps
- Monitoring and observability for data platforms
Why Apply?
- Hybrid working with limited onsite requirement
- Long-term, well-funded programme
- Modern data stack and real-world scale
- Multiple positions available - strong team environment
Senior Data Engineer in City of London employer: Queen Square Recruitment Ltd
Contact Detail:
Queen Square Recruitment Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in City of London
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the data engineering game. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio of projects that highlight your work with Snowflake, DBT, and cloud platforms. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Ace the Interview
Prepare for those interviews by brushing up on your technical skills and being ready to discuss your past projects. Practice common interview questions and think about how you can demonstrate your problem-solving abilities and teamwork experience.
✨Apply Through Our Website
We’ve got multiple positions available, so don’t hesitate 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 Senior Data Engineer in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Snowflake, DBT, and cloud platforms like AWS or Azure. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
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 large-scale retail data transformation programme. Keep it engaging and personal.
Showcase Your Technical Skills: When filling out your application, make sure to mention your hands-on experience with ETL/ELT pipelines and any tools like Airflow. We love seeing specific examples of how you've tackled challenges in your previous roles.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you get the best chance to join our awesome team!
How to prepare for a job interview at Queen Square Recruitment Ltd
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Snowflake, DBT, and cloud platforms like AWS or Azure. Brush up on your SQL and Python skills, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you overcame them. Think about examples where you optimised data pipelines or improved data quality, as this will demonstrate your hands-on experience and ability to contribute to the team.
✨Understand the Business Context
Familiarise yourself with the retail industry and how data engineering plays a role in driving business decisions. Being able to translate technical solutions into business value will impress your interviewers and show that you can collaborate effectively with stakeholders.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the data transformation programme, and the company’s approach to data governance. This not only shows your interest in the role but also helps you gauge if the company culture aligns with your values.
