At a Glance
- Tasks: Build and enhance analytics workflows and data models in a modern SaaS environment.
- Company: High-growth SaaS business focused on innovative data solutions.
- Benefits: Hybrid working, competitive contract rates, and immediate start.
- Other info: 3-6 month contract with excellent growth potential.
- Why this job: Join a dynamic team and shape the future of data analytics.
- Qualifications: Strong SQL and data modelling skills; experience with cloud data environments.
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.
- Building and improving analytics engineering workflows
- Developing scalable data models and reporting layers
- Supporting operational and commercial reporting
- Strong SQL capability
- Strong data modelling capability
- Experience within modern analytics/cloud data environments
- Power BI
Contract details:
- ~ 3–6 month initial contract
- ~ Hybrid working (typically 1 day per week London)
- ~ Immediate / end of May start preferred
Senior Engineer, Data Engineering employer: Evantis Technology
Join a dynamic and innovative SaaS company that prioritises employee growth and development in the heart of London. With a strong focus on collaboration and modern data practices, you'll thrive in a supportive work culture that values your contributions while enjoying the flexibility of hybrid working arrangements. This role not only offers competitive compensation but also the opportunity to work with cutting-edge technologies like Snowflake and dbt, making it an ideal environment for those looking to advance their careers in data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Engineer, Data Engineering
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering space, especially those who work with Snowflake or dbt. A personal recommendation can make all the difference in landing that contract.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your previous projects, especially those involving analytics engineering and data modelling. This will help you stand out during interviews and demonstrate your hands-on experience.
✨Tip Number 3
Stay updated on industry trends! Familiarise yourself with the latest tools and technologies in the analytics space. Being knowledgeable about modern data platforms will impress potential employers and show you're serious about the role.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, applying directly can sometimes give you an edge over other candidates. Don’t miss out!
We think you need these skills to ace Senior Engineer, Data Engineering
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your strong SQL and data modelling capabilities in your application. We want to see how your experience aligns with the hands-on role we're offering, so don’t hold back!
Tailor Your Application:Take a moment to customise your CV and cover letter for this specific role. Mention your experience with analytics engineering and any relevant tools like Snowflake or dbt. It helps us see why you’re the perfect fit!
Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your key achievements and experiences stand out without unnecessary fluff.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Evantis Technology
✨Know Your SQL Inside Out
As a Senior Data Analytics Engineer, you'll need to showcase your strong SQL skills. Brush up on complex queries, joins, and data manipulation techniques. Be ready to discuss how you've used SQL in past projects to solve real-world problems.
✨Showcase Your Data Modelling Expertise
Prepare to talk about your experience with data modelling. Bring examples of scalable data models you've developed and explain the thought process behind them. This will demonstrate your ability to create efficient reporting layers that align with business needs.
✨Familiarise Yourself with Snowflake and dbt
Since this role involves working with Snowflake and dbt, make sure you understand their functionalities and best practices. If possible, share specific instances where you've implemented these tools to enhance analytics workflows.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills in a modern product-led environment. Think about challenges you've faced in previous roles and how you overcame them, particularly in relation to operational and commercial reporting.
