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For Companies At a Glance
- Tasks: Own the data engineering practice and develop key tools for a social-good platform.
- Company: Join a $130M funded start-up making a real-world impact through innovative solutions.
- Benefits: Enjoy stock options, medical insurance, and a chance to work remotely.
- Why this job: Make a difference while working in a human-centric, innovative environment.
- Qualifications: Extensive data engineering experience with SQL, DBT, and ETL expertise required.
- Other info: Flat structure reporting directly to the Director of Analytics.
The predicted salary is between 48000 - 84000 £ per year.
This is your chance to perform the job you love and make a difference in society whilst doing it! Help this one-of-a-kind Social Good platform change the world by owning the data engineering practice for the entire business.
The Company
- $130M funding from over 40 VC investors
- The platform has raised hundreds of millions of dollars for charities worldwide
- One of Fast Company's most innovative companies in the world
- Human-centric company focused on making a real-world positive impact
- Stock options, Medical Insurance etc
The Role
- In a flat structure reporting to the Director of Analytics, you will own the data engineering practice!
- Develop the Data Build Tool, maintain models in Snowflake and ETL pipelines from multiple sources
- Implement testing, documentation, and version control
Desired skills and experience
- Extensive data engineering experience
- SQL expert with extensive DBT and ETL experience
- Solid communication skills
Senior Analytics Engineer at $100m Funded Social-Good Start-Up employer: Grey Matter Recruitment
Contact Detail:
Grey Matter Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analytics Engineer at $100m Funded Social-Good Start-Up
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as DBT and Snowflake. Having hands-on experience or projects that showcase your skills with these tools can set you apart from other candidates.
✨Tip Number 2
Network with current or former employees of the company to gain insights into their culture and expectations. This can help you tailor your approach and demonstrate your genuine interest in their mission during any interviews.
✨Tip Number 3
Prepare to discuss real-world examples of how you've used data engineering to drive social impact. Highlighting your passion for social good alongside your technical skills will resonate well with the company's values.
✨Tip Number 4
Stay updated on the latest trends in data engineering and analytics. Being able to discuss recent developments or innovations in the field during your conversations can demonstrate your commitment to continuous learning and improvement.
We think you need these skills to ace Senior Analytics Engineer at $100m Funded Social-Good Start-Up
Some tips for your application 🫡
Understand the Company Mission: Before applying, take some time to understand the social impact goals of the start-up. Tailor your application to reflect how your skills and experiences align with their mission of making a positive difference in society.
Highlight Relevant Experience: In your CV and cover letter, emphasise your extensive data engineering experience, particularly with SQL, DBT, and ETL processes. Provide specific examples of past projects where you successfully implemented these skills.
Showcase Communication Skills: Since solid communication skills are desired, include instances in your application where you effectively communicated complex data concepts to non-technical stakeholders. This will demonstrate your ability to work in a flat structure and collaborate with others.
Craft a Compelling Cover Letter: Use your cover letter to express your passion for social good and how you can contribute to the company's goals. Make it personal and engaging, showing that you are not just looking for a job, but a chance to make a real-world impact.
How to prepare for a job interview at Grey Matter Recruitment
✨Showcase Your Data Engineering Expertise
Be prepared to discuss your extensive experience in data engineering. Highlight specific projects where you've developed ETL pipelines or worked with DBT and Snowflake, as this will demonstrate your technical proficiency and relevance to the role.
✨Communicate Clearly and Effectively
Since solid communication skills are a must for this position, practice explaining complex data concepts in simple terms. This will show that you can convey information effectively to both technical and non-technical stakeholders.
✨Demonstrate Your Passion for Social Good
This company is focused on making a positive impact in society. Be ready to share why social good matters to you and how your values align with the company's mission. This personal connection can set you apart from other candidates.
✨Prepare Questions About the Company and Role
Have insightful questions ready about the company's data engineering practices and future goals. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
