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- Tasks: Lead the migration of data to Snowflake and design innovative data pipelines.
- Company: Specialist retail software business with a focus on cloud solutions.
- Benefits: Up to £85,000 salary, full flexibility, and clear progression path.
- Other info: 100% remote work or London office available.
- Why this job: Shape a new data function and make a real impact in retail.
- Qualifications: Experience with Snowflake, dbt, Fivetran, and strong programming skills.
The predicted salary is between 85000 - 85000 £ per year.
Lead Data Engineer for a specialist retail software business. Focus on moving from disjointed data systems to a cloud‑based solution on Snowflake.
Location & Compensation: London or UK Remote. Up to £85,000 plus benefits.
Key Responsibilities:
- Lead the migration of disparate data from major retail brands to Snowflake.
- Design and build greenfield data pipelines and architecture.
- Mentor and lead a small engineering team.
- Ensure scalable, maintainable Snowflake solutions following ELT principles.
- Collaborate across product, architecture, and data‑science stakeholders.
Benefits:
- Build and shape a new data function; design decisions will be foundational.
- Clear path to a Lead position with support for progression.
- Handle real‑world impact with well‑known retail brands.
- Full flexibility: 100% remote or London office.
Requirements:
- Solid data engineering experience, especially with Snowflake.
- Hands‑on skill with dbt, Fivetran, or similar data transformation tools.
- Strong understanding of ELT principles.
- Experience designing scalable Snowflake solutions.
- Strong programming skills in Python or SQL.
- Confidence to guide projects and lead a team.
Lead Data Engineer - Retail employer: Talenting Career Science
Contact Detail:
Talenting Career Science Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer - Retail
✨Tip Number 1
Network like a pro! Reach out to your connections in the retail and data engineering space. Attend meetups or webinars, and don’t be shy about asking for introductions. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous projects, especially those involving Snowflake or data pipelines. This is your chance to demonstrate your hands-on experience and problem-solving abilities. We love seeing real-world examples of your work!
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge. Be ready to discuss ELT principles and how you've applied them in past roles. We want to see your confidence in guiding projects and leading teams, so practice articulating your thought process.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for passionate individuals who want to shape the future of data in retail. Don’t miss out on this opportunity!
We think you need these skills to ace Lead Data Engineer - Retail
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lead Data Engineer role. Highlight your experience with Snowflake and any relevant data engineering projects. We want to see how your skills align with our needs!
Showcase Your Projects: Include specific examples of data pipelines or architectures you've designed. We love seeing real-world applications of your skills, especially if they relate to retail or cloud solutions.
Be Clear and Concise: When writing your cover letter, keep it clear and to the point. We appreciate straightforward communication, so make sure to express why you're excited about this role and how you can contribute to our team.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can't wait to hear from you!
How to prepare for a job interview at Talenting Career Science
✨Know Your Snowflake Inside Out
Make sure you brush up on your Snowflake knowledge before the interview. Be ready to discuss your experience with it, especially in terms of designing scalable solutions and using ELT principles. Having specific examples of past projects will really help you stand out.
✨Show Off Your Data Pipeline Skills
Prepare to talk about your experience in building data pipelines and architecture. Think about the challenges you've faced and how you overcame them. This is your chance to demonstrate your hands-on skills with tools like dbt and Fivetran, so have some success stories ready.
✨Leadership is Key
Since this role involves mentoring a small engineering team, be prepared to discuss your leadership style. Share examples of how you've guided projects or supported team members in the past. They’ll want to see that you can inspire and lead others effectively.
✨Collaboration is Crucial
This position requires working closely with product, architecture, and data-science teams. Think about times when you’ve collaborated across different departments. Highlight your communication skills and how you ensure everyone is on the same page to achieve common goals.