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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 pay, 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 data engineering experience, especially in marketing analytics.
The predicted salary is between 50000 - 70000 £ 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 in London employer: Freshminds
Contact Detail:
Freshminds Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Marketing Analytics Data Engineer - Snowflake & Pipelines in London
✨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 sometimes lead to job opportunities that aren't even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous projects, especially those involving Snowflake and data pipelines. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. We recommend practising with a friend or using mock interview platforms to build your confidence.
✨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 about their job search!
We think you need these skills to ace Marketing Analytics Data Engineer - Snowflake & Pipelines in London
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 good fit for our culture.
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 communication!
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!
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 how you've collaborated in the past. Highlight any projects where teamwork was key to success, and explain how you ensured data governance and quality throughout the process.
✨Prepare for Technical Questions
Expect some technical questions related to data engineering and marketing analytics. Brush up on your knowledge of data pipelines, ETL processes, and data quality measures. Practising common interview questions can help you articulate your thought process clearly during the interview.
✨Understand the Company Culture
Research Freshminds and their approach to marketing analytics. Understanding their values and culture will help you tailor your responses and demonstrate that you’re a good fit for the team. Plus, it shows that you’re genuinely interested in the company and the role.