At a Glance
- Tasks: Join us to design and maintain a scalable data architecture using Snowflake.
- Company: Be part of a dynamic, private equity-backed Advertising Services Business in North London.
- Benefits: Enjoy a flexible office schedule, working 2-3 days a week.
- Why this job: Make a real impact by consolidating data sources and driving insights across the business.
- Qualifications: Proven Data Engineer experience, strong SQL skills, and expertise in Snowflake required.
- Other info: Contract duration is 3-6 months, with an immediate start date.
The predicted salary is between 36000 - 60000 £ per year.
Interim Data Engineer
Location: North London (Office-based 2-3 days per week)
Contract: 3-6 months (Outside IR35)
Start Date: Immediate
EM011
About the Role
Finatal is seeking an experienced Interim Data Engineer to join a dynamic, private equity-backed Advertising Services Business based in North London. This role will be pivotal in consolidating multiple data sources into a single source of truth, ensuring data integrity and accessibility across the business.
The ideal candidate will have strong expertise in Snowflake and experience integrating various data sources. Prior experience using ThoughtSpot as a BI tool would be advantageous. Excellent stakeholder management skills are essential, as this role will involve close collaboration with cross-functional teams to deliver data-driven insights.
Key Responsibilities
- Design, build, and maintain a scalable data architecture using Snowflake.
- Integrate multiple disparate data sources into a single, unified data platform.
- Work closely with stakeholders across the business to understand data requirements and ensure data solutions align with business objectives.
- Optimize ETL/ELT pipelines and data transformation processes.
- Support data analytics and reporting initiatives, ensuring high-quality data is available for business intelligence tools.
- Leverage ThoughtSpot to enhance data visualization and reporting capabilities.
- Ensure best practices in data governance, security, and compliance.
Key Skills & Experience
- Proven experience as a Data Engineer, ideally in a fast-paced or PE-backed environment.
- Expertise in Snowflake for data warehousing and analytics.
- Strong SQL skills and experience with ETL/ELT pipelines.
- Ability to consolidate and transform multiple data sources into a single source of truth.
- Experience with ThoughtSpot (preferred but not essential).
- Strong stakeholder management and communication skills.
- Ability to work on-site 2-3 days per week in North London
Interim Data Engineer employer: Finatal
Contact Detail:
Finatal Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Interim Data Engineer
✨Tip Number 1
Familiarize yourself with Snowflake and its features. Since this role heavily relies on Snowflake for data warehousing, having a solid understanding of its architecture and capabilities will give you an edge during discussions with our team.
✨Tip Number 2
Brush up on your SQL skills. As a Data Engineer, you'll be expected to work with complex queries, so being able to demonstrate your proficiency in SQL will be crucial in showcasing your technical abilities.
✨Tip Number 3
Prepare to discuss your experience with ETL/ELT processes. Be ready to share specific examples of how you've optimized data pipelines in previous roles, as this will highlight your practical knowledge and problem-solving skills.
✨Tip Number 4
Think about how you can effectively communicate with stakeholders. Since strong stakeholder management is essential for this role, consider examples from your past experiences where you successfully collaborated with cross-functional teams to deliver data-driven insights.
We think you need these skills to ace Interim Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Snowflake, SQL, and ETL/ELT pipelines. Emphasize any previous roles where you consolidated data sources or worked in a fast-paced environment.
Craft a Compelling Cover Letter: In your cover letter, explain why you're interested in the Interim Data Engineer position and how your skills align with the responsibilities outlined in the job description. Mention your experience with stakeholder management and collaboration.
Showcase Relevant Projects: If you have specific projects that demonstrate your expertise in data engineering, especially using Snowflake or ThoughtSpot, include them in your application. This can help illustrate your hands-on experience.
Highlight Soft Skills: Since strong stakeholder management and communication skills are essential for this role, make sure to provide examples of how you've successfully collaborated with cross-functional teams in your previous positions.
How to prepare for a job interview at Finatal
✨Showcase Your Snowflake Expertise
Make sure to highlight your experience with Snowflake during the interview. Be prepared to discuss specific projects where you've designed or maintained data architectures using Snowflake, as this is a key requirement for the role.
✨Demonstrate Stakeholder Management Skills
Since this role involves close collaboration with various teams, be ready to share examples of how you've effectively managed stakeholders in previous positions. Discuss how you gathered requirements and ensured alignment with business objectives.
✨Prepare for Technical Questions
Expect technical questions related to SQL, ETL/ELT processes, and data integration. Brush up on your knowledge and be ready to explain your approach to optimizing data pipelines and ensuring data integrity.
✨Familiarize Yourself with ThoughtSpot
While experience with ThoughtSpot is preferred but not essential, it’s a good idea to familiarize yourself with its features and capabilities. If you have any experience with BI tools, be prepared to discuss how you’ve used them to enhance data visualization and reporting.