At a Glance
- Tasks: Transform raw data into reliable assets for business insights and decision-making.
- Company: Join Ravio, a pioneering tech company with a focus on data-driven solutions.
- Benefits: Competitive salary, equity options, generous time off, and wellness allowances.
- Other info: Enjoy a fun, inclusive culture with fast-tracked growth opportunities.
- Why this job: Be part of a dynamic team shaping the future of data analytics.
- Qualifications: 3+ years in data engineering, SQL proficiency, and experience with cloud tools.
The predicted salary is between 60000 - 75000 ÂŁ per year.
We’re looking for our first Analytics Engineer to join our team, sitting at the intersection of data engineering and business insights. At Ravio, data is everything and this role exists to make sure that data is clean, consistent, and ready to power the insights that drive our business. You’ll specialise in transforming raw data from our product and third‑party systems into well‑defined, reusable data assets that analysts and BI tools can rely on, bringing commercial rigour to the way we define and model our business. This is a role where correctness matters. You’ll own the business logic that underpins how we understand our customers and our product ensuring that what we measure reflects commercial reality.
As an Analytics Engineer at Ravio, you will…
- Build and maintain well‑structured, reusable data tables that serve as the source of truth for key business metrics, including ARR, product usage, and customer data.
- Translate commercial knowledge into correctly defined, consistent business logic that analysts and stakeholders can trust.
- Ensure interoperability across data sources by transforming and standardising data from across our product and tooling ecosystem.
- Manage and evolve our dbt codebase, maintaining high standards of code quality and documentation.
- Partner with the insights team on quarterly planning, prioritising data asset development to unlock analytical capacity.
- Proactively manage data changes — from product updates to source migrations — to maintain downstream consistency in Looker and beyond.
Your Key Skills
Essential- Proficiency in SQL
- Experience with relational databases and database design (e.g., Postgres)
- Experience with cloud data warehousing tooling (e.g., Snowflake, BigQuery)
- Experience with dbt and git
- Familiarity with cloud platforms and services (e.g., GCP, AWS)
- Minimum 3 years of experience in data engineering space
- Proficiency in object‑oriented programming languages (e.g., Python)
- Experience with data pipeline tools (e.g., NiFi, Airflow)
- Startup (Series A+) experience preferred
What you’ll get
- The opportunity to be part of the early team of a category‑defining company backed by a strong roster of world‑class investors
- An inclusive work environment characterised by a high degree of trust, respect and integrity
- The ability to work closely with and learn from the company’s founders as well as a highly ambitious team of smart, mission‑driven individuals
- A high degree of autonomy and the opportunity for fast‑tracked professional growth
- While we’re very focused at work, we also know how to have fun in the process and don’t take ourselves too seriously
- Competitive compensation (and we know what we’re talking about!) with significant upside potential for high performance. And company equity, of course.
- An amazing benefits package for everyone, regardless of their role or level, including generous paid time off allowances as well as enhanced parental leave benefits
Compensation & Benefits
- Salary ÂŁ60,000 - ÂŁ75,000
- Company ownership (everyone gets a meaningful equity stake in Ravio)
- 37 days paid time off (25 days holiday + 4 wellness day + 8 public holidays)
- Up to 6% pension matching scheme
- ÂŁ60 a month wellness allowance (Invest in your physical wellbeing, on us)
- ÂŁ500 per year Learning and Development budget
- Private healthcare cover with AXA
- Personal travel insurance - just in case
- Income protection insurance (for full peace of mind in case you cannot work because of sickness or disability)
- 16 weeks fully paid birthing parent leave, followed by 4 weeks at 50% pay & 8 weeks for non‑birthing parent
Data Analytics Engineer employer: Ravio Technologies Ltd.
Contact Detail:
Ravio Technologies Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analytics Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working at Ravio. A friendly chat can open doors and give you insider info that could make your application stand out.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or any projects that highlight your SQL prowess or data engineering experience, make sure to share them. Visuals can speak louder than words!
✨Tip Number 3
Prepare for the interview by brushing up on your knowledge of dbt and cloud platforms. Be ready to discuss how you’ve tackled data challenges in the past and how you can bring that expertise to Ravio.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Data Analytics Engineer
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with SQL, relational databases, and cloud data warehousing. We want to see how your skills align with the role of Analytics Engineer at Ravio!
Showcase Your Projects: Include examples of past projects where you've built and maintained data tables or worked with dbt and git. This will help us understand your hands-on experience and how you can contribute to our team.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, especially when it comes to complex topics like data engineering and business insights.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity at Ravio.
How to prepare for a job interview at Ravio Technologies Ltd.
✨Know Your Data Tools
Make sure you brush up on your SQL skills and get familiar with the specific tools mentioned in the job description, like dbt and cloud data warehousing solutions. Being able to discuss your experience with these tools confidently will show that you're ready to hit the ground running.
✨Understand the Business Logic
Since this role is all about transforming raw data into reliable insights, take some time to think about how you would define and model business logic. Be prepared to share examples of how you've done this in the past, as it will demonstrate your understanding of commercial reality.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems related to data consistency and transformation. Practise articulating your thought process clearly, as this will help interviewers see how you approach challenges and ensure data integrity.
✨Show Your Collaborative Spirit
This role involves partnering with various teams, so be ready to discuss how you've worked collaboratively in previous positions. Highlight any experiences where you’ve successfully communicated complex data concepts to non-technical stakeholders, as this will showcase your ability to bridge the gap between data engineering and business insights.