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- Tasks: Design and maintain databases to support marketing analytics in a luxury retail environment.
- Company: Join a leading client in the luxury lifestyle and retail industry.
- Benefits: Competitive day rate, hybrid work model, and opportunity for professional growth.
- Other info: Collaborate with data scientists and enhance your skills in a dynamic team.
- Why this job: Make an impact on marketing strategies with high-quality data and innovative analytics.
- Qualifications: 4-8 years of data engineering experience, especially in marketing or media analytics.
The predicted salary is between 50000 - 65000 £ per year.
A client in the luxury lifestyle and retail industry is seeking a Data Engineer to join the team for a 12 month fixed term contract. You will play a key role in establishing robust data foundations to support scalable, insight led marketing analytics across international markets. Reporting into a marketing analytics lead and working closely with data scientists, the objective of the project is to enable effective Marketing Mix Modelling and attribution through well governed, high quality and accessible data.
Responsibilities
- Design, build and maintain databases in Snowflake to support marketing analytics use cases
- Develop and manage scalable data pipelines connecting media, marketing, competitor and agency data sources
- Implement data governance standards, best practices and clear technical documentation
- Support Marketing Mix Modelling and Multi Touch Attribution initiatives across multiple countries
- Monitor, test and validate data to ensure accuracy, consistency and reliability
- Partner closely with data scientists to enable efficient model development and deployment
- Translate technical concepts into clear, business relevant outcomes for non technical stakeholders
- Support the adoption and effective use of Dataiku within the analytics workflow
Requirements
- 4–8 years’ experience in data engineering, ideally within marketing or media analytics
- Strong hands on experience with Snowflake (essential)
- Experience working with Dataiku (highly desirable)
- Solid understanding of marketing and media data and related analytics use cases
- Proven experience designing databases and building scalable, production ready data pipelines
- Strong knowledge of data governance, data quality monitoring and best practices
- Confident communicator, comfortable working in non technical and stakeholder facing environments
- Ability to translate business requirements into practical and effective data solutions
Details
- Duration: 12 months
- Day rate: Competitive, DOE
- Location: Hybrid, London (2 days per week in the office)
Data Engineer - Retail in London employer: Freshminds
Contact Detail:
Freshminds Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Retail in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work in marketing analytics or data engineering. A friendly chat can lead to insider info about job openings that might not even be advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Snowflake and Dataiku. This will give potential employers a taste of what you can do and how you can contribute to their marketing analytics efforts.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss how you've implemented data governance standards and built scalable data pipelines. Remember, they want to see how you can translate complex concepts into business-friendly language!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications this way!
We think you need these skills to ace Data Engineer - Retail in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Data Engineer in retail. Highlight your experience with Snowflake and any relevant projects that showcase your skills in marketing analytics. We want to see how you can bring value to our team!
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 your background aligns with our needs. Don’t forget to mention your experience with Dataiku if you have it, as it’s highly desirable for us.
Showcase Your Technical Skills: When filling out your application, be sure to list all relevant technical skills, especially those related to data governance and building scalable data pipelines. We love seeing candidates who can clearly demonstrate their expertise in these areas!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Freshminds
✨Know Your Data Tools
Make sure you brush up on your Snowflake and Dataiku skills before the interview. Be ready to discuss how you've used these tools in past projects, especially in relation to marketing analytics. This will show that you’re not just familiar with the tech, but that you can leverage it effectively.
✨Understand Marketing Analytics
Since this role is heavily focused on marketing analytics, take some time to understand key concepts like Marketing Mix Modelling and Multi Touch Attribution. Being able to speak knowledgeably about these topics will impress your interviewers and demonstrate your fit for the role.
✨Prepare Real-World Examples
Think of specific examples from your previous work where you designed databases or built data pipelines. Be ready to explain the challenges you faced and how you overcame them. This will help you illustrate your problem-solving skills and technical expertise.
✨Communicate Clearly
Practice translating complex technical concepts into simple terms. Since you'll be working with non-technical stakeholders, being able to communicate effectively is crucial. Try explaining a past project to a friend who isn’t in the field to hone this skill.