At a Glance
- Tasks: Build and enhance analytics workflows, develop scalable data models, and support reporting.
- Company: Join a high-growth SaaS business with a focus on innovation.
- Benefits: Flexible hybrid working, competitive pay, and a chance to shape data capabilities.
- Other info: Exciting contract role with opportunities for growth and collaboration.
- Why this job: Make a real impact in a modern product-led environment with cutting-edge tools.
- Qualifications: Strong SQL skills, Snowflake and dbt experience, and data modelling expertise.
The predicted salary is between 50000 - 70000 € 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 in Brighton 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, ensuring you can thrive and make a meaningful impact in your role as a Senior Data Engineer.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in Brighton
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering space, 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. Show them you’re not just a tech whiz but also someone who can collaborate with product and operations teams.
✨Tip Number 3
Don’t underestimate the power of self-serve analytics! Be prepared to share examples of how you've improved reporting capabilities in past roles. This will show you understand the importance of empowering teams with data.
✨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 Brighton
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 excited about this role and how your experience in modern analytics environments can benefit us. Keep it concise but impactful – we love a good story!
Showcase Relevant Projects:If you've worked on any projects that involved building scalable data models or improving reporting workflows, make sure to mention them. We’re keen to see real examples of your work that demonstrate your capabilities in a SaaS or high-growth context.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the easiest way for us to keep track of your application and ensures you get all the latest updates. Plus, we love seeing applications come in through our own platform!
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 how you've built scalable data models in previous roles. This is your chance to show how you can support operational and commercial reporting effectively.
✨Engage with Stakeholders
Since this role involves working closely with product, operations, and leadership teams, think about how you've successfully collaborated with stakeholders in the past. Share specific instances where your communication skills made a difference in project outcomes.
