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For Companies At a Glance
- Tasks: Own the data engineering practice and develop key tools for impactful projects.
- Company: Join a $100m funded start-up dedicated to social good and innovation.
- Benefits: Enjoy stock options, medical insurance, and a human-centric work culture.
- Why this job: Make a real-world impact while working in a flat structure with innovative minds.
- Qualifications: Extensive data engineering experience with SQL, DBT, and ETL expertise required.
- Other info: Be part of a team recognised as one of Fast Company's most innovative.
The predicted salary is between 43200 - 72000 £ 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
Contact Detail:
Career Wallet 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 tools and technologies mentioned in the job description, such as DBT and Snowflake. Having hands-on experience or projects showcasing your skills with these platforms can set you apart from other candidates.
✨Tip Number 2
Network with current or former employees of the company on platforms like LinkedIn. Engaging in conversations about their experiences can provide valuable insights into the company culture and expectations, which you can leverage during interviews.
✨Tip Number 3
Prepare to discuss real-world examples of how you've implemented data engineering practices in previous roles. Be ready to explain your thought process and the impact of your work on the business, as this aligns with the company's focus on making a positive impact.
✨Tip Number 4
Showcase your communication skills by being clear and concise in all interactions with the company. Whether it's during networking, interviews, or follow-up emails, demonstrating your ability to communicate complex ideas simply will resonate well with the hiring team.
We think you need these skills to ace Senior Analytics Engineer at $100m Funded Social-Good Start-Up
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your extensive data engineering experience, SQL expertise, and familiarity with DBT and ETL processes. Use specific examples from your past work that demonstrate your skills and achievements relevant to the role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for social good and how your skills can contribute to the company's mission. Mention specific projects or experiences that align with their goals and values, showcasing your understanding of their impact.
Showcase Communication Skills: Since solid communication skills are desired, consider including examples in your application that demonstrate your ability to convey complex data concepts clearly. This could be through previous roles where you collaborated with non-technical teams or presented findings.
Highlight Relevant Projects: If you've worked on projects involving data engineering, especially those that had a positive social impact, make sure to highlight these. Discuss your role in developing ETL pipelines or maintaining models, as this will resonate well with the company's focus.
How to prepare for a job interview at Career Wallet
✨Show Your Passion for Social Good
Make sure to express your enthusiasm for the company's mission. Highlight any previous experiences where you've contributed to social causes or worked in similar environments, as this will resonate well with the interviewers.
✨Demonstrate Technical Expertise
Be prepared to discuss your extensive data engineering experience in detail. Bring examples of your work with SQL, DBT, and ETL processes, and be ready to solve technical problems on the spot to showcase your skills.
✨Communicate Clearly
Since solid communication skills are a must, practice explaining complex technical concepts in simple terms. This will help demonstrate your ability to collaborate effectively with non-technical team members.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data practices and future projects. This shows your genuine interest in the role and helps you assess if the company aligns with your values and career goals.
