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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.
- Why this job: Lead data initiatives that shape consumer experiences in a dynamic retail environment.
- Qualifications: Experience with data tools, Python, SQL, and cloud platforms.
- Other info: Join a collaborative team driving impactful market research and analytics.
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 annum
- Location: Hybrid, with 2-3 days/week in Central London office
Data Engineer - Retail and Luxury employer: FRESHMINDS
Contact Detail:
FRESHMINDS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Retail and Luxury
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in data roles. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those using Python, SQL, and cloud tools. 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 questions and scenarios. Practice explaining your past projects and how you ensured data quality and governance.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Data Engineer - Retail and Luxury
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data pipelines, Python, and SQL. We want to see how your skills align with the role of a Data Engineer in our CIX team, so don’t hold back on showcasing relevant projects!
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 creating personalised consumer experiences. Keep it engaging and relevant to the job description.
Showcase Your Technical Skills: Don’t forget to mention your experience with ELT tools, marketing APIs, and cloud platforms like AWS or GCP. We’re looking for someone who can hit the ground running, so make sure we know what you bring to the table!
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 the role. Plus, it’s super easy – just follow the prompts!
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 intelligence 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 about data governance, security, and architecture. Practice explaining complex concepts in simple terms, as you may need to demonstrate your understanding of data validation and transformation processes during the interview.