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 potential for extension.
- Other info: Immediate start preferred; one-stage interviews happening this week.
- Why this job: Join a dynamic team and make a real impact in analytics engineering.
- Qualifications: Strong SQL, Snowflake, dbt experience, and data modelling skills required.
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 Manchester 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 seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in Manchester
✨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 are proactive about their job search!
We think you need these skills to ace Senior Data Engineer in Manchester
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 easiest way for us to receive your application and ensures you’re considered for this exciting opportunity. Don’t miss out!
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 like improving reporting capabilities or developing scalable data models.
