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- Tasks: Build robust data pipelines and shape data models for impactful analytics solutions.
- Company: Join a leading AI FinTech company in the heart of London.
- Benefits: Competitive salary, dynamic work environment, and direct access to founders.
- Other info: Exciting opportunity for career growth in a fast-paced industry.
- Why this job: Make a significant impact on product direction and data quality in a high-intensity setting.
- Qualifications: 5+ years in data engineering, elite SQL skills, and familiarity with LookML.
The predicted salary is between 60000 - 84000 £ per year.
Trust In SODA is seeking a Senior Analytics Engineer to work on-site in Central London. This role involves building robust data pipelines, shaping data models, and powering analytics solutions.
The ideal candidate should have over 5 years of experience in data engineering, elite SQL skills, and familiarity with tools like LookML.
You will have a high-intensity work environment with direct access to company founders, contributing significantly to product direction and data quality assurance.
Senior Analytics Engineer - AI FinTech, On-site in London employer: Trust In SODA
Contact Detail:
Trust In SODA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analytics Engineer - AI FinTech, On-site in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at Trust In SODA. A friendly chat can open doors and give you insider info on what they’re really looking for.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your experience with data pipelines and analytics solutions. This is your chance to demonstrate how you can shape data models and contribute to product direction.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your SQL skills and familiarising yourself with LookML. We all know that confidence in your abilities can make a huge difference.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the team at Trust In SODA. Let’s get you that interview!
We think you need these skills to ace Senior Analytics Engineer - AI FinTech, On-site in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your elite SQL skills and any experience with tools like LookML in your application. We want to see how you can build robust data pipelines and shape data models, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention your experience in data engineering and how it aligns with the responsibilities of a Senior Analytics Engineer. We love seeing candidates who take the time to connect their background to what we’re looking for.
Be Authentic: Let your personality shine through in your written application. We’re not just looking for qualifications; we want to know who you are and how you’ll fit into our high-intensity work environment. Share your passion for analytics and how you can contribute to our team.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at Trust In SODA
✨Know Your Data Inside Out
Make sure you’re well-versed in data engineering concepts and can discuss your experience with building data pipelines. Brush up on your SQL skills, as you’ll likely be asked to solve problems or optimise queries during the interview.
✨Familiarise Yourself with LookML
Since familiarity with LookML is a must for this role, take some time to review its features and functionalities. Be prepared to discuss how you've used it in past projects or how you would approach using it in this new role.
✨Showcase Your Problem-Solving Skills
Expect to face real-world scenarios where you’ll need to demonstrate your analytical thinking. Prepare examples from your previous work where you tackled complex data challenges and how your solutions impacted the business.
✨Engage with the Founders’ Vision
Since you’ll have direct access to the company founders, do your homework on Trust In SODA’s mission and values. Be ready to discuss how your skills and experiences align with their vision for product direction and data quality assurance.