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- Tasks: Build and maintain a marketing database for personalised consumer experiences.
- Company: Global lifestyle brand with a focus on innovation and consumer intelligence.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Work in a collaborative environment with a strong emphasis on data quality and governance.
- Why this job: Join a dynamic team to shape data-driven marketing strategies in a thriving industry.
- Qualifications: Experience with data tools, Python, SQL, and cloud platforms like AWS or GCP.
The predicted salary is between 65000 - 75000 £ per year.
A global lifestyle brand is hiring a Data Engineer to build and maintain a marketing database that supports scalable analytics and personalised consumer experiences. The role sits within the Consumer Intelligence and Experience (CIX) team, which leads market research, segmentation, and activation across all brands and channels. You’ll be the lead developer responsible for enabling clean, structured data across the organisation.
Responsibilities
- Design and maintain scalable data pipelines and architectures
- Ensure data quality, security, and governance across systems
- Collaborate with data scientists, analysts, and product teams
- Oversee data collection, transformation, and validation
- Use Python, SQL, and Excel to process and model data
Requirements
- Experience with media data ELT tools and marketing APIs
- Familiarity with marketing datamarts and performance metrics
- Cloud experience with AWS, GCP, or Snowflake
- Proficiency in Python, SQL, Git, and DBT
- Knowledge of MMM/MTA and deployment tools like Airflow or Docker
Details
- Salary: £65-75k per annual
- Location: Hybrid, with 2-3 days/week in Central London office
Data Engineer - Retail and Luxury in England employer: Freshminds
Contact Detail:
Freshminds Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Retail and Luxury in England
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those using Python, SQL, or any cloud tools. This is your chance to shine and demonstrate how you can add value to their team.
✨Tip Number 3
Prepare for the interview by brushing up on common data engineering questions and scenarios. Think about how you’d tackle data quality and governance challenges, as these are key in the role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Data Engineer - Retail and Luxury in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data pipelines and marketing APIs. We want to see how your skills align with the role, so don’t be shy about showcasing your Python and SQL prowess!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about data engineering in the retail and luxury sector. Share specific examples of how you've used your skills to drive results.
Showcase Relevant Projects: If you've worked on any projects involving data quality or governance, make sure to mention them. We love seeing real-world applications of your skills, especially if they relate to consumer intelligence!
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 in our CIX team!
How to prepare for a job interview at Freshminds
✨Know Your Data Tools
Make sure you brush up on your skills with Python, SQL, and any ELT tools mentioned in the job description. Be ready to discuss how you've used these tools in past projects, especially in relation to data pipelines and marketing databases.
✨Showcase Your Collaboration Skills
Since this role involves working closely with data scientists, analysts, and product teams, prepare examples of how you've successfully collaborated in the past. Highlight any specific projects where teamwork led to improved data quality or consumer insights.
✨Understand the Business Context
Familiarise yourself with the retail and luxury sectors, particularly how data influences marketing strategies. Being able to discuss industry trends and how they relate to consumer experiences will show that you're not just a tech whiz but also understand the bigger picture.
✨Prepare for Technical Questions
Expect to face technical questions or even a practical test during the interview. Brush up on your knowledge of data governance, security, and cloud platforms like AWS or GCP. Practising common data engineering scenarios can help you feel more confident.