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 work, and immediate start available.
- Other info: Collaborate closely with product and operations teams for impactful insights.
- 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 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 in Basingstoke 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, you will 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 meaningful projects makes us an excellent employer for those looking to make a significant impact in the data landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in Basingstoke
✨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 referrals.
✨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 self-serve analytics! Be prepared to share examples of how you've enhanced self-serve reporting capabilities in previous roles. This will show potential employers that 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 noticed. Plus, we’re always on the lookout for talented individuals like you to join our high-growth team.
We think you need these skills to ace Senior Data Engineer in Basingstoke
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 Your Collaboration Skills:Since this role involves working closely with product, operations, and leadership teams, make sure to highlight any past 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 best way for us to receive your application and ensures you’re considered for this exciting opportunity. Don’t miss out on joining 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 the thought process behind them. This will show your analytical thinking and ability to create efficient reporting layers.
✨Engage with Stakeholders
Since this role involves working closely with product and operations teams, think about how you've collaborated with stakeholders in the past. Share examples of how you’ve improved self-serve reporting capabilities and how you communicate technical concepts to non-technical team members.
