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.
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 Wakefield 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 Wakefield
✨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 Wakefield
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 building analytics workflows and developing scalable data models.
Showcase Relevant Experience:If you've worked in SaaS or high-growth environments, let us know! Highlight any projects where you improved reporting capabilities or collaborated with product and operations teams. This will help us see how you can contribute to our modern data platform.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about analytics engineering. Share specific examples of how you've supported operational reporting or enhanced self-serve analytics in previous roles. We love a good story!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any updates from us!
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.
