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 with excellent growth opportunities.
- 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.
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 Bedford 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 Bedford
✨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. We want you to showcase your hands-on expertise and how you've improved analytics workflows in past roles.
✨Tip Number 3
Don’t underestimate the power of self-serve reporting! Be ready to share examples of how you've enhanced reporting capabilities in previous positions. 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 seen. Plus, we love seeing candidates who are proactive and take the initiative to connect directly with us.
We think you need these skills to ace Senior Data Engineer in Bedford
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 best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the whole process smoother for everyone involved!
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
Since the role requires experience with Snowflake and dbt, make sure you understand their functionalities and best practices. Prepare to talk about specific projects where you've implemented these tools and how they improved data workflows.
✨Highlight Your Collaboration Skills
This position involves working closely with product, operations, and leadership teams. Think of examples where you've successfully collaborated with stakeholders to deliver analytics solutions. Show that you can bridge the gap between technical and non-technical teams.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving abilities in analytics engineering. Practice articulating your thought process when faced with challenges, such as optimising reporting workflows or improving self-serve capabilities.
