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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 in a dynamic, international setting.
- Why this job: Make an impact on marketing strategies with high-quality data and innovative analytics.
- Qualifications: 4-8 years in data engineering, strong Snowflake experience, and marketing analytics knowledge.
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
- Start date: ASAP
- Duration: 12 months
- Day rate: Competitive, DOE
- Location: Hybrid, London (2 days per week in the office)
Data Engineer- Retail employer: Freshminds Interim
Contact Detail:
Freshminds Interim Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer- Retail
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the data engineering game. You never know who might have a lead on that perfect role.
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio of projects that highlight your work with Snowflake and Dataiku. This will give potential employers a clear view of what you can bring to the table.
✨Ace the Interview
Prepare for those interviews by brushing up on common data engineering questions and scenarios. Be ready to discuss how you’ve tackled challenges in past roles, especially around data governance and pipeline management.
✨Apply Through Our Website
When you find a job that fits, 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 about their job search.
We think you need these skills to ace Data Engineer- Retail
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Snowflake and any relevant projects you've worked on in marketing analytics. We want to see how your skills align with what we're looking for!
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 our team. Don't forget to mention your experience with Dataiku if you have it, as it's highly desirable for us.
Showcase Your Technical Skills: In your application, be sure to showcase your technical skills clearly. Mention your experience designing databases and building data pipelines, as well as your understanding of data governance. We love seeing concrete examples of your work!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at Freshminds Interim
✨Know Your Data Tools
Make sure you brush up on your Snowflake and Dataiku skills before the interview. Be ready to discuss specific projects where you've used these tools, as well as any challenges you faced and how you overcame them.
✨Understand Marketing Analytics
Since this role is focused on marketing analytics, it’s crucial to have a solid grasp of concepts like Marketing Mix Modelling and Multi Touch Attribution. Prepare to explain how your data engineering work has supported these initiatives in the past.
✨Communicate Clearly
You’ll need to translate technical jargon into business-friendly language. Practice explaining complex data concepts in simple terms, as you’ll likely be interacting with non-technical stakeholders during your time in the role.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss specific examples where you designed databases or built data pipelines that solved real business problems. Highlight your approach to ensuring data quality and governance, as these are key aspects of the role.