At a Glance
- Tasks: Design and maintain scalable data pipelines to support analytics and reporting.
- Company: Fast-growing, product-led business in Leeds with a focus on innovation.
- Benefits: Competitive salary up to £75,000 plus benefits and opportunities for growth.
- Other info: Collaborative environment with a focus on data quality and reliability.
- Why this job: Shape the future of data analytics in a high-impact role with a small team.
- Qualifications: Strong experience with Snowflake and advanced SQL skills required.
The predicted salary is between 60000 - 75000 € per year.
I'm looking for a hands-on Senior Data Engineer (Analytics) 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.
Location: Leeds, UK
Salary: £60,000 - £75,000 + benefits
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
Key impact:
- 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
- Support faster, smarter decision-making across commercial teams
Collaboration:
- 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 Data Engineer (Analytics) - up to £75,000 in Leeds employer: Impactive IT
Join a dynamic and innovative team in Leeds as a Senior Data Engineer, where you'll play a pivotal role in shaping the data foundations of a fast-growing, product-led business. With a strong emphasis on collaboration and employee growth, we offer competitive salaries, comprehensive benefits, and a vibrant work culture that fosters creativity and professional development. This is an exciting opportunity to make a significant impact while working in a supportive environment that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer (Analytics) - up to £75,000 in Leeds
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Prepare for those interviews! Research the company and its data platform. We want you to be able to discuss how your experience with Snowflake and SQL can help them scale their analytics. Show them you’re the perfect fit!
✨Tip Number 3
Don’t forget to showcase your projects! Whether it’s a GitHub repo or a portfolio, we want to see how you’ve built scalable data pipelines or automated workflows. This is your chance to shine and show off your skills!
✨Tip Number 4
Apply through our website! It’s the easiest way to get your application noticed. Plus, we love seeing candidates who take the initiative to connect directly with us. Let’s get you on board!
We think you need these skills to ace Senior Data Engineer (Analytics) - up to £75,000 in Leeds
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Engineer role. 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 you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Projects:If you've worked on relevant projects, don’t hold back! Share examples of data pipelines you've built or analytics solutions you've implemented. We’re keen to see your hands-on experience in action.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it shows you're serious about joining our team!
How to prepare for a job interview at Impactive IT
✨Know Your Data Tools Inside Out
Make sure you’re well-versed in the modern data tools mentioned in the job description, especially Snowflake and DBT. Be ready to discuss your hands-on experience with these tools and how you've used them to build scalable data pipelines.
✨Showcase Your SQL Skills
Prepare to demonstrate your advanced SQL skills during the interview. You might be asked to solve a problem or optimise a query on the spot, so brush up on your SQL knowledge and think about how you can apply it to large datasets.
✨Communicate Clearly
Since you'll be collaborating with both technical and non-technical teams, practice explaining complex data concepts in simple terms. Think of examples where you’ve successfully translated business needs into technical solutions.
✨Highlight Your Attention to Detail
Data quality and reliability are crucial for this role. Be prepared to discuss specific instances where you implemented data quality checks or automated workflows to improve data processes. This will show that you have the detail-oriented mindset they’re looking for.
