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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 $100m funded start-up making a real-world impact through innovative solutions.
- Benefits: Enjoy stock options, medical insurance, and a human-centric work culture.
- Why this job: Make a difference while working in a flat structure with a focus on innovation.
- 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 companies.
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
Senior Analytics Engineer at $100m Funded Social-Good Start-Up employer: Career Wallet
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 mentioned in the job description, like DBT and Snowflake. Having hands-on experience or even personal projects showcasing your skills with these technologies 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, as this will demonstrate your expertise and problem-solving abilities.
✨Tip Number 4
Show your passion for social good in your interactions with the company. Research their mission and values, and be prepared to articulate how your personal values align with theirs, as this can 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 🫡
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 that demonstrate your expertise and how they relate to the role.
Showcase Communication Skills: Since solid communication skills are desired, include instances where you effectively communicated complex data concepts to non-technical stakeholders. This will show that you can bridge the gap between technical and non-technical teams.
Craft a Compelling Cover Letter: Use your cover letter to express your passion for social good and how you envision contributing to the company's goals. Make it personal and engaging, while also detailing your technical qualifications and readiness to own the data engineering practice.
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 past projects where you used SQL, DBT, and ETL processes, and be ready to explain your approach to developing and maintaining data models.
✨Communicate Clearly
Since solid communication skills are a must, practice explaining complex technical concepts in simple terms. This will show that you can effectively collaborate with non-technical team members and stakeholders.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data practices and future goals. This not only shows your interest in the role but also helps you gauge if the company aligns with your values and career aspirations.
