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- Tasks: Design and maintain databases in Snowflake and develop data pipelines for marketing analytics.
- Company: Freshminds, a dynamic company focused on innovative data solutions.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborate with data scientists and stakeholders in a vibrant London office.
- Why this job: Join a team that values data quality and governance while making an impact in marketing analytics.
- Qualifications: 4-8 years of experience in data engineering, especially in marketing analytics.
The predicted salary is between 50000 - 65000 £ per year.
Freshminds is seeking a Data Engineer for a 12-month contract in London. The position involves designing and maintaining databases in Snowflake and developing data pipelines to support marketing analytics.
Candidates should have 4-8 years of experience in data engineering, especially in marketing analytics. The role requires collaboration with data scientists and stakeholders, with a focus on data governance and quality.
This hybrid position requires 2 days in the office each week.
Marketing Analytics Data Engineer - Snowflake & Pipelines employer: Freshminds
Contact Detail:
Freshminds Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Marketing Analytics Data Engineer - Snowflake & Pipelines
✨Tip Number 1
Network like a pro! Reach out to folks in the marketing analytics space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving Snowflake and data pipelines. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when tackling data governance and quality issues.
✨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 Marketing Analytics Data Engineer - Snowflake & Pipelines
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering, especially with Snowflake and marketing analytics. We want to see how your skills align with the role, so don’t be shy about 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 our team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Collaboration Skills: Since this role involves working closely with data scientists and stakeholders, make sure to mention any past experiences where you’ve successfully collaborated on projects. We value teamwork and want to know how you can fit into our culture!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Freshminds
✨Know Your Snowflake Inside Out
Make sure you brush up on your Snowflake skills before the interview. Be ready to discuss how you've designed and maintained databases in Snowflake, and have examples of data pipelines you've developed for marketing analytics. This will show that you’re not just familiar with the tool, but that you can leverage it effectively.
✨Showcase Your Collaboration Skills
Since this role involves working closely with data scientists and stakeholders, be prepared to share specific examples of successful collaborations. Talk about how you’ve communicated complex data concepts to non-technical team members and how you’ve ensured everyone is on the same page regarding data governance and quality.
✨Prepare for Technical Questions
Expect some technical questions related to data engineering and marketing analytics. Brush up on your knowledge of data governance practices and be ready to discuss how you ensure data quality in your projects. Practising common interview questions can help you articulate your thoughts clearly.
✨Understand the Company Culture
Research Freshminds and their approach to marketing analytics. Understanding their values and how they operate will help you tailor your responses to align with their culture. It’s also a great way to ask insightful questions during the interview, showing your genuine interest in the company.