At a Glance
- Tasks: Build and enhance 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 available; one-stage interviews happening this week.
- Why this job: Join a dynamic team and shape the future of data analytics in a product-led environment.
- Qualifications: Strong SQL, Snowflake, dbt experience, and data modelling skills required.
The predicted salary is between 50000 - 70000 € 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 Reading 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 continuous learning and development, making it an excellent place for those looking to advance their careers in data analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in Reading
✨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 how you've built scalable data models and improved reporting workflows.
✨Tip Number 3
Don’t underestimate the power of follow-ups! After an interview, drop a quick thank-you email to express your appreciation. It keeps you fresh in their minds and shows your enthusiasm for the role.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Senior Data Engineer in Reading
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 the role, so don’t be shy about showcasing your analytics engineering expertise!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this hands-on role. Talk about your experience in building scalable data models and how you've improved reporting workflows in previous positions.
Showcase Relevant Projects:If you've worked on any projects that involved operational reporting or self-serve analytics, make sure to mention them. We love seeing real-world examples of your work, especially in SaaS or high-growth environments!
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 don’t miss out on any important updates regarding the role. Let’s get started on this journey together!
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. Think of examples where you've built scalable models that improved reporting efficiency. Show how your models have supported operational and commercial reporting needs.
✨Engage with Stakeholders
Since this role involves working closely with product and operations teams, be ready to share experiences where you've collaborated with stakeholders. Discuss how you’ve gathered requirements and translated them into technical solutions that meet business needs.
