At a Glance
- Tasks: Build and improve analytics workflows, develop scalable data models, and support reporting.
- Company: High-growth SaaS business with a focus on modern data platforms.
- Benefits: Outside IR35 contract, hybrid working, and potential for extension.
- Other info: Immediate start preferred; one-stage interviews happening this week.
- Why this job: Join a dynamic team and make a real impact in analytics engineering.
- Qualifications: Strong SQL, Snowflake, dbt experience, and data modelling skills required.
The predicted salary is between 60000 - 80000 € per year.
Outside IR35 Contract | London Hybrid | Snowflake / dbt | SaaS
I’m currently supporting a high-growth SaaS business on a key Analytics Engineering contract role supporting the evolution of their reporting, operational insight and modern data platform capabilities. This is a hands-on role focused on analytics engineering, data modelling and scalable reporting workflows within a modern product-led environment.
Key responsibilities:
- Building and improving analytics engineering workflows
- Developing scalable data models and reporting layers
- Supporting operational and commercial reporting
- Working closely with product, operations and leadership teams
- Improving self-serve reporting capability across the business
Key requirements:
- Strong SQL capability
- Snowflake experience
- dbt experience
- Strong data modelling capability
- Experience within modern analytics/cloud data environments
- Comfortable working closely with business stakeholders
- SaaS or high-growth experience beneficial
Additional exposure beneficial:
- Fivetran
- Power BI
- Operational analytics/reporting
- Self-serve analytics environments
Contract details:
- Outside IR35
- 3–6 month initial contract
- Hybrid working (typically 1 day per week London)
- Immediate / end of May start preferred
If this sounds relevant, please apply below.
Senior Data Engineer in Glasgow employer: Evantis Technology
Join a dynamic and innovative SaaS company that prioritises employee growth and collaboration in a modern, product-led environment. With a strong focus on analytics engineering and data-driven decision-making, you'll have the opportunity to work closely with cross-functional teams while enjoying the flexibility of hybrid working in London. Our supportive culture fosters professional development and offers a unique chance to contribute to impactful projects that shape the future of our data capabilities.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in Glasgow
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work in SaaS. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Prepare for those one-stage interviews! Brush up on your SQL skills and be ready to discuss your experience with Snowflake and dbt. We want you to showcase your hands-on experience and how you've improved analytics workflows in past roles.
✨Tip Number 3
Don’t forget to highlight your collaboration skills! In a hybrid environment, being able to work closely with product and operations teams is key. Share examples of how you've successfully partnered with stakeholders to drive results.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior Data Engineer in Glasgow
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your strong SQL skills and experience with Snowflake and dbt. We want to see how your background aligns with the key responsibilities of building analytics workflows and developing scalable data models.
Showcase Your Experience:When writing your cover letter, emphasise your hands-on experience in modern analytics environments. We love seeing examples of how you've improved reporting capabilities or worked closely with product and operations teams.
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so make sure your achievements and skills are easy to spot. Bullet points can help us quickly see what you bring to the table!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our high-growth SaaS business.
How to prepare for a job interview at Evantis Technology
✨Know Your SQL Inside Out
As a Senior Data Engineer, you'll need to showcase your strong SQL skills. Brush up on complex queries, joins, and performance tuning. Be ready to discuss how you've used SQL in past projects to solve real-world problems.
✨Familiarise Yourself with Snowflake and dbt
Make sure you understand the ins and outs of Snowflake and dbt. Prepare to talk about your experience with these tools, including any specific projects where you've implemented them. Highlight how they helped improve data workflows or reporting capabilities.
✨Demonstrate Your Data Modelling Skills
Be prepared to discuss your approach to data modelling. Bring examples of scalable data models you've built and explain how they supported operational and commercial reporting. This will show your hands-on experience and strategic thinking.
✨Engage with Stakeholders
Since this role involves working closely with product and operations teams, think of examples where you've successfully collaborated with stakeholders. Share how you’ve improved self-serve reporting capabilities and how you communicate technical concepts to non-technical team members.
