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- Tasks: Own the analytics engineering process and design scalable data models.
- Company: Fast-growing FinTech company with a dynamic data team.
- Benefits: Remote work, competitive pay, and a chance to shape innovative products.
- Other info: Great opportunity for career growth in a product-led company.
- Why this job: Make a real impact in a fast-paced environment while driving data solutions.
- Qualifications: Experience in analytics engineering and strong dbt skills required.
The predicted salary is between 60000 - 80000 £ per year.
We’re partnered with one of the fastest-growing FinTech companies in Europe, currently expanding their data team following several new product launches. As a result of this rapid growth, there’s now a significant backlog of data requests across the business. They’re looking for Senior to Lead level Analytics Engineers who can step in quickly, take ownership of the analytics engineering lifecycle, and help drive delivery. This is a great opportunity to work in a fast-paced product environment, helping shape scalable data models and analytics foundations for new products.
What you’ll be doing:
- Owning the end-to-end Analytics Engineering process
- Working directly with stakeholders to gather requirements and translate business needs into data solutions
- Designing scalable data models and analytics architecture
- Building and maintaining clean, reliable transformation layers using dbt
- Supporting experimentation and incrementality analysis
- Delivering high-quality data models that enable product and business teams to move faster
What they’re looking for:
- Senior / Lead Analytics Engineering experience
- Proven experience owning projects end-to-end – from requirement gathering through to model design and implementation
- Strong dbt experience (essential)
- Experience designing scalable data models and analytics architecture
- Comfortable working directly with product and business stakeholders
- Experience working in fast-paced product environments
- Exposure to experimentation frameworks / incrementality analysis
If you’re an experienced Analytics Engineer who enjoys ownership, autonomy, and building scalable data foundations in product-led companies, this could be a great fit.
Senior Data Engineer in Warrington employer: Cognify Search
Contact Detail:
Cognify Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in Warrington
✨Tip Number 1
Network like a pro! Reach out to your connections in the FinTech space and let them know you're on the lookout for opportunities. A personal recommendation can go a long way in landing that Senior Data Engineer role.
✨Tip Number 2
Prepare for those interviews by brushing up on your dbt skills and analytics engineering processes. We suggest doing mock interviews with friends or using online platforms to get comfortable discussing your experience and how it aligns with the job requirements.
✨Tip Number 3
Showcase your projects! Create a portfolio that highlights your end-to-end project ownership, especially those involving scalable data models. This will help you stand out and demonstrate your hands-on experience to potential employers.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting roles waiting for talented individuals like you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Senior Data Engineer in Warrington
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior Data Engineer role. Highlight your experience with dbt and any projects where you’ve owned the analytics engineering process from start to finish.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this fast-paced environment. Share specific examples of how you've designed scalable data models and worked directly with stakeholders to meet their needs.
Showcase Your Technical Skills: Don’t forget to mention your technical expertise! We want to see your experience with analytics architecture and any tools you've used in previous roles. Be specific about your contributions and outcomes.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any updates!
How to prepare for a job interview at Cognify Search
✨Know Your Stuff
Make sure you brush up on your analytics engineering skills, especially dbt. Be ready to discuss your past projects and how you've owned the end-to-end process. This will show that you can hit the ground running in a fast-paced environment.
✨Understand the Business
Familiarise yourself with the FinTech industry and the specific challenges it faces. Think about how your experience can translate into solutions for their data needs. Showing that you understand their business will set you apart from other candidates.
✨Prepare Questions
Have a list of insightful questions ready for your interviewers. Ask about their current data challenges or how they envision the analytics engineering lifecycle evolving. This demonstrates your interest and helps you gauge if the role is the right fit for you.
✨Showcase Your Collaboration Skills
Since you'll be working directly with stakeholders, highlight your experience in gathering requirements and translating them into data solutions. Share examples of how you've successfully collaborated with product and business teams in the past.