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- Tasks: Lead the transformation of data platforms using Snowflake and dbt in a fast-paced environment.
- Company: Join a revolutionary fintech start-up focused on sustainable lending and microfinance.
- Benefits: Enjoy a competitive salary, bonuses, fully remote work, and international travel opportunities.
- Why this job: Shape an evolving data platform while collaborating with a global team in an impact-driven culture.
- Qualifications: 5+ years as a Senior Analytics Engineer with strong expertise in dbt and Snowflake.
- Other info: Work autonomously and engage in stakeholder conversations across multiple time zones.
The predicted salary is between 80000 - 100000 £ per year.
Impact-Driven Fintech. Help build a cutting-edge data platform for a global fintech. Work with Snowflake and dbt in a high-growth environment. Flexible remote role, ideally London-based, with competitive salary & bonus. You’ll work alongside a collaborative team who are based internationally. You’ll work fully remotely, with occasional international travel. If you’re passionate about data, want to shape an evolving platform (that’ll be a little bit messy on the dbt side and let you get your hands dirty), and thrive in a fast-paced, high-impact environment, this role is for you!
This is an exciting opportunity for a Senior Analytics Engineer to join a fast-moving, impact-driven start-up that is revolutionising sustainable lending and microfinance. The company is scaling rapidly and shifting to a modern data stack, moving from legacy systems to Snowflake and dbt. They need an experienced engineer to lead this transformation, bringing best practices in data architecture, performance tuning, and analytics enablement.
You’ll be working with Snowflake and dbt as well as designing, optimising, and maintaining data models to support analytics and reporting. You’ll be implementing data engineering best practices and collaborate with data analysts and engineers to improve data accessibility. After a transition of legacy data to Snowflake and dbt you’ll come in to help make the platform more accessible and effective for analytics teams.
What experience you’ll need to apply:
- Proven experience as a Senior Analytics Engineer (ideally around 5+ years)
- Strong expertise in dbt
- Excellent Snowflake experience
- Tableau, Looker or PowerBI experience
- Experience migrating legacy data platforms to scalable cloud-based solutions
- Ability to shape strategies and get involved in stakeholder conversations
- Ability to work autonomously in a fast-moving, agile environment
- Comfortable collaborating with global teams across multiple time zones
What you’ll get in return:
A salary of between £80,000 - £100,000 per annum, plus a great bonus and benefits. You’ll have a fully remote working pattern (with the option to go to the London office, if you want) and international travel opportunities of around three weeks per year for team catch ups!
What’s next?
Apply with your updated resume, and we’ll be in touch to discuss the role further! Got questions? Drop Tegan an email, and we’ll be happy to chat.
Senior Analytics Engineer employer: ADLIB Recruitment | B Corp™
Contact Detail:
ADLIB Recruitment | B Corp™ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analytics Engineer
✨Tip Number 1
Familiarise yourself with Snowflake and dbt if you haven't already. Consider taking online courses or tutorials to deepen your understanding of these tools, as they are crucial for the role.
✨Tip Number 2
Network with professionals in the fintech and analytics space. Join relevant LinkedIn groups or attend virtual meetups to connect with others who might have insights about the company or the role.
✨Tip Number 3
Prepare to discuss your experience with migrating legacy data platforms. Be ready to share specific examples of challenges you faced and how you overcame them, as this will demonstrate your problem-solving skills.
✨Tip Number 4
Showcase your ability to work autonomously by highlighting past projects where you took the lead. This will help illustrate that you can thrive in a fast-paced, agile environment, which is essential for this role.
We think you need these skills to ace Senior Analytics Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience as a Senior Analytics Engineer, particularly your expertise in dbt and Snowflake. Use specific examples of projects where you've migrated legacy data platforms to cloud-based solutions.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data and how you can contribute to the company's mission of revolutionising sustainable lending. Mention your ability to work autonomously and collaborate with global teams.
Showcase Relevant Skills: Emphasise your skills in data architecture, performance tuning, and analytics enablement. Provide concrete examples of how you've implemented best practices in previous roles.
Highlight Remote Work Experience: Since this is a fully remote role, mention any previous remote work experience. Discuss how you effectively communicate and collaborate with teams across different time zones.
How to prepare for a job interview at ADLIB Recruitment | B Corp™
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Snowflake and dbt in detail. Highlight specific projects where you've successfully migrated legacy data platforms to cloud-based solutions, as this will demonstrate your expertise and relevance to the role.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your ability to tackle challenges in a fast-paced environment. Share examples of how you've optimised data models or improved data accessibility, showcasing your analytical thinking and adaptability.
✨Emphasise Collaboration
Since you'll be working with global teams, illustrate your experience in collaborating across different time zones. Discuss how you’ve effectively communicated and worked with stakeholders to shape strategies and drive projects forward.
✨Prepare for Cultural Fit Questions
This company values impact-driven work and a collaborative spirit. Be ready to discuss your passion for data and how you thrive in agile environments. Share your thoughts on sustainable lending and microfinance to align with their mission.
