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 immediate start available.
- Other info: Collaborate closely with product and operations teams in a fast-paced environment.
- Why this job: Join a dynamic team and make an impact in analytics engineering.
- Qualifications: Strong SQL, Snowflake, dbt experience, and data modelling skills required.
The predicted salary is between 60000 - 80000 € per year.
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 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 a hybrid working model that promotes work-life balance. Our commitment to fostering a supportive culture and providing continuous learning opportunities makes us an excellent employer for those seeking meaningful and rewarding careers in data analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work in SaaS or have experience with Snowflake and dbt. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Prepare for those one-stage interviews! Brush up on your SQL skills and be ready to discuss your experience with analytics engineering workflows. We recommend practising common interview questions related to data modelling and reporting.
✨Tip Number 3
Showcase your hands-on experience! When you get the chance to speak with potential employers, highlight specific projects where you've built scalable data models or improved reporting capabilities. Real examples make a big impact!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with SQL, Snowflake, and dbt. We want to see how your skills align with the key responsibilities of the role, so don’t hold back on showcasing your analytics engineering prowess!
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 Senior Data Engineer role. Share specific examples of your past work that demonstrate your ability to build scalable data models and improve reporting workflows.
Showcase Your Collaboration Skills:Since this role involves working closely with product, operations, and leadership teams, make sure to highlight any relevant experiences where you’ve successfully collaborated with stakeholders. We love seeing teamwork in action!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you don’t miss out on any important updates about the process. Let’s get your journey started!
How to prepare for a job interview at Evantis Technology
✨Know Your Tech Inside Out
Make sure you brush up on your SQL skills and get familiar with Snowflake and dbt. Be ready to discuss how you've used these tools in past projects, as well as any challenges you've faced and how you overcame them.
✨Showcase Your Data Modelling Skills
Prepare to talk about your experience with data modelling and how it has impacted reporting workflows. Bring examples of scalable data models you've developed and be ready to explain your thought process behind them.
✨Understand the Business Context
Since this role involves working closely with product and operations teams, do some research on the company’s business model and their analytics needs. This will help you demonstrate how your technical skills can directly support their goals.
✨Be Ready for Scenario Questions
Expect questions that ask you to solve hypothetical problems or improve existing workflows. Think through potential scenarios beforehand and prepare structured responses that highlight your analytical thinking and problem-solving abilities.
