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- Tasks: Transform messy data into clean insights and build reporting pipelines.
- Company: Join a dynamic marketing analytics team in Central London.
- Benefits: Enjoy a hybrid working model with 2 days onsite and potential contract extension.
- Why this job: Be part of a hands-on transformation project that impacts marketing strategies.
- Qualifications: 5+ years in Data Engineering, strong marketing analytics background, and Snowflake experience required.
- Other info: No CV? Connect directly via email to discuss this exciting opportunity!
The predicted salary is between 60000 - 84000 £ per year.
Job Description
- Marketing Data Engineer/ Analyst
- Annual Salary up to £84,000 doe
- 6 Months contract – inside IR35 – PAYE + strong possibility of extension
- Location: Central London – 2 days onsite – hybrid working model
We've got a marketing analytics team sitting on valuable data – and right now, they need someone to rebuild their reporting stack from the ground up.
This isn't a plug-and-play dashboarding role. This is hands-on transformation work.
They're mid-project, moving from legacy systems into Snowflake. SIGMA is being rolled out as the new reporting tool. What they need is someone who can translate messy data into clean, usable insights – and build out the pipelines to get there.
You'll be:
- Writing and optimising SQL queries
- Transforming raw data into structured, scalable models
- Designing dashboards in SIGMA (or Tableau if needed)
- Working directly with marketers who want the data, not just reports
- Owning the data journey from source to insight
Must Have Skills:
- 5+ years of Data Engineering / Insights Analytics
- Strong Marketing Analytics background – Campaigns, segmentation, etc
- Solid experience with Snowflake
- Experience in Sigma Computing or Tableau – Data Visualisation
- CRM – Salesforce
If you've got strong Snowflake experience, know your way around marketing data, and enjoy turning chaos into clarity – let's talk.
No CV yet? No problem. Connect with me here, or email me directly at som@principlehr.com
Marketing Data Engineer / Analyst - Snowflake, Sigma employer: Principle
Contact Detail:
Principle Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Marketing Data Engineer / Analyst - Snowflake, Sigma
✨Tip Number 1
Familiarise yourself with Snowflake and Sigma by exploring online tutorials or documentation. This will not only boost your confidence but also demonstrate your proactive approach to learning the tools that are crucial for the role.
✨Tip Number 2
Network with professionals in the marketing analytics field, especially those who have experience with Snowflake and Sigma. Engaging in conversations can provide insights into the role and may even lead to referrals.
✨Tip Number 3
Prepare to discuss specific examples of how you've transformed messy data into actionable insights in previous roles. This will showcase your hands-on experience and problem-solving skills during any interviews.
✨Tip Number 4
Stay updated on the latest trends in marketing analytics and data engineering. Being knowledgeable about industry developments can help you stand out as a candidate who is not only skilled but also passionate about the field.
We think you need these skills to ace Marketing Data Engineer / Analyst - Snowflake, Sigma
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of a Marketing Data Engineer/Analyst. Familiarise yourself with Snowflake, Sigma, and the specific skills required for the role.
Tailor Your CV: Highlight your relevant experience in data engineering and marketing analytics. Emphasise your proficiency with SQL, Snowflake, and any experience with dashboard tools like Sigma or Tableau. Make sure to showcase projects where you've transformed data into actionable insights.
Craft a Compelling Cover Letter: Write a cover letter that connects your background to the job description. Discuss your hands-on experience with data transformation and how you've successfully worked with marketing teams to deliver insights. Be sure to express your enthusiasm for the role and the company.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter. Look for any spelling or grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail, which is crucial for this role.
How to prepare for a job interview at Principle
✨Showcase Your SQL Skills
Since the role requires writing and optimising SQL queries, be prepared to discuss your experience with SQL in detail. Bring examples of complex queries you've written and be ready to explain your thought process behind them.
✨Demonstrate Data Transformation Experience
Highlight your experience in transforming raw data into structured models. Be ready to discuss specific projects where you successfully cleaned and organised messy data, and how that impacted the final insights.
✨Familiarise Yourself with SIGMA and Tableau
As the new reporting tool is SIGMA, it’s crucial to show familiarity with it or Tableau. If you have any relevant projects or dashboards you've created, be sure to mention them during the interview.
✨Understand Marketing Analytics
Since the position involves working closely with marketers, brush up on your marketing analytics knowledge. Be prepared to discuss how you’ve used data to inform marketing campaigns and segmentation strategies in the past.
