At a Glance
- Tasks: Build and maintain data pipelines to enhance customer insights and personalisation.
- Company: Join a luxury retail client's team with a focus on collaboration.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Work 2 days a week in London with excellent career development opportunities.
- Why this job: Make a real impact in the luxury retail sector while working with global data functions.
- Qualifications: 2-4 years of data engineering experience, Python proficiency, and cloud platform familiarity.
The predicted salary is between 45000 - 55000 £ per year.
Freshminds is seeking a Data Engineer to join a luxury retail client's team for a 12-month engagement. This role involves building and maintaining data pipelines and supporting a transformation aimed at enhancing customer insights and personalization.
With a strong focus on collaboration, you will work with global data functions and stakeholders. Candidates should have 2–4 years of data engineering experience, proficiency in Python, and familiarity with cloud platforms like Snowflake. The position allows for hybrid work, requiring 2 days a week in London.
Hybrid Data Engineer for Global CRM & Personalization employer: Freshminds
At Freshminds, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation. Our hybrid working model allows for flexibility while being part of a luxury retail client's team in London, where you will have the opportunity to enhance your skills and grow professionally within a supportive environment. With a focus on employee development and meaningful projects, we ensure that our team members are engaged and empowered to make a real impact.
StudySmarter Expert Advice🤫
We think this is how you could land Hybrid Data Engineer for Global CRM & Personalization
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at companies you're interested in. A friendly chat can open doors and give you insights that might just land you that Data Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and any projects you've worked on. This is your chance to demonstrate your Python prowess and cloud platform experience, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. We recommend practising with friends or using mock interview platforms to build your confidence and refine your answers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Hybrid Data Engineer for Global CRM & Personalization
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your data engineering experience, especially with Python and cloud platforms like Snowflake. 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 excited about this role and how your background fits into our luxury retail client's vision for customer insights and personalization. Let us know what makes you tick!
Showcase Collaboration Skills:Since this role involves working with global data functions and stakeholders, highlight any past experiences where you’ve successfully collaborated with teams. We love seeing how you can work together to achieve common goals!
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. Don’t miss out on joining our team!
How to prepare for a job interview at Freshminds
✨Know Your Data Engineering Basics
Make sure you brush up on your data engineering fundamentals, especially around building and maintaining data pipelines. Be ready to discuss your previous projects and how you've used Python and cloud platforms like Snowflake in real-world scenarios.
✨Showcase Your Collaboration Skills
Since this role involves working closely with global data functions and stakeholders, be prepared to share examples of how you've successfully collaborated in past roles. Highlight any experiences where teamwork led to enhanced customer insights or project success.
✨Understand the Luxury Retail Sector
Familiarise yourself with the luxury retail industry and its unique challenges. Being able to discuss how data can enhance customer personalization in this sector will show that you're not just a tech whiz but also understand the business context.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare thoughtful questions about the team dynamics, the specific challenges they face in data engineering, and how success is measured in this role. This shows your genuine interest and helps you assess if it's the right fit for you.
