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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.
- 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.
- 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 in London 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 in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at companies you're eyeing. A friendly chat can open doors and give you insider info that could help you stand out.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your data engineering projects, especially those involving Snowflake or ELT principles. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering scenarios. Be ready to discuss how you've tackled challenges in past roles, particularly around designing scalable solutions or leading teams.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who take the initiative. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Lead Data Engineer - Retail 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 Snowflake, ELT principles, and any relevant tools like dbt or Fivetran. We want to see how your skills match 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 StudySmarter. Keep it engaging and personal – we love a good story!
Showcase Your Projects: If you've worked on any cool data projects, make sure to mention them! Whether it's building data pipelines or leading a team, we want to know about your hands-on experience and how it relates to the role.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it’s super easy!
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 a great opportunity to showcase your hands-on skills with tools like dbt and Fivetran.
✨Demonstrate Leadership and Mentorship
Since this role involves leading a small engineering team, be ready to share your leadership experiences. Discuss how you've mentored others in the past and how you plan to guide your team in this new role. Confidence is key!
✨Collaborate Like a Pro
This position requires collaboration across various stakeholders. Prepare to give examples of how you've successfully worked with product, architecture, and data science teams in the past. Highlight your communication skills and ability to bring people together.