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For Companies At a Glance
- Tasks: Transform raw data into reliable insights that drive business decisions.
- Company: Join Ravio, a fast-growing startup revolutionising compensation data.
- Benefits: Competitive salary, equity, generous time off, and wellness support.
- Other info: Enjoy a fun, inclusive work culture with opportunities for rapid growth.
- Why this job: Be part of a mission-driven team making a real impact on fair compensation.
- Qualifications: Proficient in SQL with experience in data engineering and cloud tools.
The predicted salary is between 60000 - 75000 £ per year.
We help companies get compensation right. What we get paid at work has a massive impact on our lives, and it’s one of the biggest factors in hiring and retaining talent - and yet so many companies struggle to get it right. They simply have no choice but to rely on poor data and unsophisticated tools for their pay decisions. That’s why we created Ravio. We help many of the world’s most innovative and ambitious companies build stronger teams and reach their goals through better compensation. Our real-time data platform brings compensation into the modern age with clarity and transparency. We’re passionate about ensuring everyone is paid what they deserve, no matter their background or circumstances. We believe that when compensation is done right, everyone wins.
Ravio is growing fast, which means you can too. We’ve established ourselves as the European leader in our space serving more than 1,200 clients, and now have our sights set on becoming the global go-to place for compensation data and tools for managing compensation. Joining a startup and scaling it into a global product is one of the most challenging and rewarding experiences a career can offer. If that sounds exciting to you, you’re in the right place.
The Role
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
Desirable
- 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 £60,000 - £75,000
- 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
- £60 a month wellness allowance (Invest in your physical wellbeing, on us)
- £500 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 in London employer: Ravio
Contact Detail:
Ravio Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analytics Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, analyses, or any relevant work. This gives you a chance to demonstrate your expertise and passion for data analytics, making you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to data analytics. Think about how you can relate your past experiences to the role at Ravio, especially around data engineering and business insights.
✨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 at Ravio.
We think you need these skills to ace Data Analytics Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Analytics Engineer. Highlight your SQL skills, experience with relational databases, and any relevant projects that showcase your data engineering prowess.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data and how you can contribute to Ravio's mission. Share specific examples of how you've transformed raw data into actionable insights in your previous roles.
Showcase Your Technical Skills: Don’t just list your technical skills; demonstrate them! If you’ve worked with dbt, cloud platforms, or data pipeline tools, give us a sneak peek into your experience and how it aligns with what we’re looking for.
Apply Through Our Website: We encourage you to apply 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 important updates from us!
How to prepare for a job interview at Ravio
✨Know Your Data Tools
Make sure you’re well-versed in SQL and familiar with tools like dbt and cloud data warehousing solutions. Brush up on your knowledge of Postgres, Snowflake, or BigQuery, as these will likely come up during the interview.
✨Understand the Business Logic
Be prepared to discuss how you would translate commercial knowledge into business logic. Think about examples from your past experience where you ensured data accuracy and consistency, as this is crucial for the role.
✨Showcase Your Problem-Solving Skills
Expect questions that assess your ability to manage data changes and maintain consistency across various sources. Have a few scenarios ready where you successfully navigated challenges in data engineering.
✨Cultural Fit Matters
Ravio values a fun and inclusive work environment. Be yourself and show your enthusiasm for joining a startup. Share why you’re excited about the opportunity to grow with the company and contribute to its mission.