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- Tasks: Design and build scalable data pipelines to support analytics and insights.
- Company: Fast-growing, product-led business with a focus on innovation.
- Benefits: Competitive salary up to £70,000, flexible working, and growth opportunities.
- Why this job: Shape the future of data in a high-impact role within a small team.
- Qualifications: Strong experience with Snowflake and advanced SQL skills required.
- Other info: Join a dynamic environment where your contributions truly matter.
The predicted salary is between 70000 - 70000 £ per year.
I'm looking for a hands-on Analytics Data Engineer to help build and scale a modern data platform in a fast-growing, product-led business. This is a high-impact role in a small team, where you’ll shape the data foundations for their new platform, that houses their analytics and data insights.
What you’ll be doing:
- Design, build, and maintain scalable data pipelines (ELT/ETL)
- Own the flow of data from source systems → warehouse → BI tools
- Develop clean, reusable data models for analytics and reporting
- Integrate a wide range of data sources, including marketing, CRM, and operational systems
- Implement data quality checks, monitoring, and validation
- Automate workflows to improve speed, reliability, and reduce manual effort
- Establish a robust, scalable data platform that supports growth
- Improve data reliability, accessibility, and trust across the business
- Enable self-serve analytics through well-structured datasets
- Partner with stakeholders across Growth, Finance, Marketing, Product, and Operations
- Translate business needs into scalable technical solutions
- Communicate clearly with both technical and non-technical audiences
What we’re looking for:
- Strong experience with Snowflake
- Advanced SQL skills working with large datasets
- Hands-on experience with modern data tools (DBT ideally)
- Solid understanding of data warehousing and architecture best practices
- A detail-oriented mindset with a focus on data quality and reliability
- Comfortable working in a small, high-impact team
Nice to have:
- Experience working with CRM and marketing data (e.g. HubSpot, Salesforce, ad platforms)
- Background in digital marketing analytics or attribution
- Python or R for automation and data processing
- Familiarity with experimentation (A/B testing)
- Exposure to data governance or cataloguing tools
Apply now below or reach out to learn more.
Senior Analytics Engineer - up to £70,000 in Leeds employer: Impactive IT
Contact Detail:
Impactive IT Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analytics Engineer - up to £70,000 in Leeds
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving Snowflake or DBT. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and data modelling skills. Be ready to discuss how you've tackled data challenges in the past and how you can contribute to building a robust data platform.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Analytics Engineer - up to £70,000 in Leeds
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Senior Analytics Engineer. Highlight your experience with Snowflake, SQL, and any modern data tools you've used. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about building scalable data platforms and how your previous experiences have prepared you for this role. Let us know why you want to join our team at StudySmarter!
Showcase Your Projects: If you've worked on relevant projects, don’t hold back! Include links or descriptions of your work that demonstrate your ability to design and maintain data pipelines. We love seeing real examples of your skills in action.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. We can’t wait to hear from you!
How to prepare for a job interview at Impactive IT
✨Know Your Data Tools
Make sure you brush up on your knowledge of Snowflake and DBT. Be ready to discuss how you've used these tools in past projects, especially in building scalable data pipelines. Show them you can not only talk the talk but also walk the walk!
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled data quality issues or improved data reliability in previous roles. They’ll want to see that you can think critically and come up with effective solutions, so have a few scenarios ready to share.
✨Communicate Clearly
Since you'll be working with both technical and non-technical teams, practice explaining complex concepts in simple terms. This will demonstrate your ability to bridge the gap between different stakeholders and ensure everyone is on the same page.
✨Understand the Business Impact
Research the company’s products and how they use data to drive decisions. Be prepared to discuss how your role as an Analytics Engineer can directly contribute to their growth and success. Showing that you understand their business model will set you apart!