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For Companies At a Glance
- Tasks: Build and optimise data transformation pipelines for impactful projects.
- Company: Leading online gifting company in Greater London with a focus on innovation.
- Benefits: Competitive pay, hybrid working, and a strong emphasis on employee wellbeing.
- Why this job: Join a dynamic team and make a real impact with your data skills.
- Qualifications: Exceptional SQL skills, strong dbt expertise, and experience with Snowflake.
- Other info: Collaborative environment with opportunities for personal and professional growth.
The predicted salary is between 36000 - 60000 £ per year.
A leading online gifting company in Greater London is seeking an experienced Analytics Engineer to join their Data Platform team. You will be responsible for building and optimizing data transformation pipelines, ensuring data quality, and collaborating with various teams to deliver impactful data products.
The ideal candidate possesses:
- Exceptional SQL skills
- Strong dbt expertise
- Experience with Snowflake
The role offers competitive pay, hybrid working arrangements, and a focus on employee wellbeing.
Analytics Engineer: Hybrid Data Platform for Impact employer: Moonpig
Contact Detail:
Moonpig Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer: Hybrid Data Platform for Impact
✨Tip Number 1
Network like a pro! Reach out to current or former employees of the company on LinkedIn. A friendly chat can give us insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a mini-project or case study that highlights your SQL and dbt expertise. This can be a great conversation starter during interviews and shows we mean business.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions for Analytics Engineers. We can even do mock interviews with friends to boost our confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our CVs and cover letters to match the job description perfectly.
We think you need these skills to ace Analytics Engineer: Hybrid Data Platform for Impact
Some tips for your application 🫡
Show Off Your SQL Skills: Make sure to highlight your SQL expertise in your application. We want to see how you've used SQL in past projects, so don’t hold back on the details!
Talk About Your dbt Experience: If you’ve got strong dbt skills, let us know! Share specific examples of how you’ve built and optimised data transformation pipelines using dbt in your previous roles.
Emphasise Collaboration: This role involves working with various teams, so it’s important to showcase your collaborative spirit. Mention any cross-team projects you've been part of and how you contributed to their success.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Moonpig
✨Master Your SQL Skills
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss complex queries you've written and how you've optimised them in past projects. Practising common SQL problems can really help you stand out.
✨Showcase Your dbt Expertise
Since dbt is a key part of the role, be ready to talk about your experience with it. Prepare examples of how you've used dbt to build data models or improve data transformation processes. This will demonstrate your hands-on knowledge and problem-solving abilities.
✨Understand Snowflake Inside Out
Familiarise yourself with Snowflake's features and best practices. Be prepared to discuss how you've leveraged Snowflake in previous roles, particularly in relation to data quality and performance optimisation. This shows you're not just familiar with the tool but know how to use it effectively.
✨Collaborate and Communicate
This role involves working with various teams, so highlight your collaboration skills. Think of examples where you've successfully worked with cross-functional teams to deliver impactful data products. Good communication can set you apart from other candidates.
