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Senior Data Engineer

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, tracking the market across all compensation types from salary to equity and benefits. 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 a Senior Data Engineer to drive the ongoing development of our data platform, 

  • Be a senior technical contributor in our data engineering team, building and maintaining Ravio’s data pipelines and infrastructure - the core of our business. 

  • Shape and implement the data roadmap, improving pipeline structure, robustness, testing, and continuous development as well as helping oversee the team’s cloud infrastructure.

  • Ensure data quality, governance, and security best practices are followed.

  • Partner with fellow engineers, product managers and the broader team to make quick, collaborative decisions that drive business outcomes while maintaining technical excellence.

  • Foster team culture in the Data team, making it a positive, ambitious, accountable and fun environment where people enjoy doing their best work.

What we’re looking for

  • 6+ years experience in data engineering

  • Expertise in at least one high level language such as Python, Julia, R, Matlab or Go

  • Familiarity working with terraform, cloud logs, SQL databases

  • Experience working with production systems, CI/CD

  • Comfortable working in a fast-paced, startup environment with a bias for action

  • Excellent listener and communicator

Regardless of experience you, 

  • Naturally speak the language of engineers and data scientists, and are also very comfortable talking with people of other disciplines across the business including product, customer success, operations and founders. 

  • Have strong social and emotional intelligence, empathy, and an ability to put yourself in the shoes of others

  • Take satisfaction in smooth execution of challenging problems and seeing a talented team operating at a high velocity

Our Tech Stack;

Data Engineering

  • Python

  • GCP (Cloud Functions, Workflows, CloudSQL, Cloud Storage, BigQuery, …)

  • DBT

Data Science

  • Python (polars, scikit-learn, …)

CI/CD

  • GitHub Actions

  • Terraform

Data Engineering at Ravio in 2025

This is a key data engineering role at a company where data is at the very heart of our mission and product. We have technical co-founders who know first hand the importance of creating space and focus for engineering teams to do their best work. 

You’ll be responsible for playing a critical part in our challenge to scale our existing pipelines to thousands of new customers, while continuing to build new pipelines and infrastructure to support new product areas. We’re at an exciting stage that involves 0-to-1 engineering in some areas, and engineering for scale in others. 

To pull this off you’ll be working alongside many accomplished and world class teammates, who are energised by the work they do and have a high bar for themselves and their colleagues.

Why Join Ravio?

  • Opportunity to be a critical team member in a high-growth startup.

  • Blend of IC work and leadership, giving you both hands-on impact and career growth.

  • Remote-friendly, flexible work culture with a high degree of ownership.

  • Work on meaningful problems that help people get paid fairly and competitively in their careers.

Compensation & Benefits

  • £75,000 - £105,000 / Ravio Band: P4

  • Company ownership (everyone gets a meaningful equity stake in Ravio)

  • 37 days paid time off (25 days holiday + 4 wellness days + 8 public holidays)

  • Up to 6% pension matching scheme

  • £60 a month wellness allowance (Invest in your physical wellbeing, on us)

  • Private healthcare cover (on a medical history disregarded basis) with AXA

  • Personal worldwide 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. For non-birthing parents, we offer 8 weeks fully paid leave.

#LI-Remote

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Average salary estimate

$90000 / YEARLY (est.)
min
max
$75000K
$105000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Senior Data Engineer, Ravio

At Ravio, we're on a mission to revolutionize compensation, and we need a skilled Senior Data Engineer to help us get there. With over six years of experience, this role means you'll be a senior technical contributor within our dynamic data engineering team, focused on building and maintaining our data pipelines and infrastructure that are at the core of our business. You’ll help shape our data roadmap to improve pipeline structure and ensure data quality and security best practices are met. Collaboration is key at Ravio, and you’ll work closely with engineers, product managers, and others to make impactful decisions quickly while maintaining technical excellence. If you thrive in a fast-paced, startup environment and are comfortable with languages like Python or Go, we want to hear from you! At Ravio, the culture is just as important as the role – we prioritize a fun, ambitious, and accountable atmosphere where everyone can do their best work. This is your chance to join a growing company that’s already serving over 1,200 clients and is set on becoming the global leader in compensation data tools. You will not only have the chance to scale existing pipelines to cater to thousands of new customers but also help build new infrastructures to support new product areas. Ready to take your career to new heights? Join us and help create a fairer compensation landscape!

Frequently Asked Questions (FAQs) for Senior Data Engineer Role at Ravio
What are the responsibilities of a Senior Data Engineer at Ravio?

As a Senior Data Engineer at Ravio, your primary responsibilities will include driving the ongoing development of our data platform, building and maintaining data pipelines and infrastructure critical to our business. You will shape and implement our data roadmap focusing on improving pipeline structure and robustness. Ensuring data quality and security while collaborating with engineers and product managers will also be key aspects of your role.

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What qualifications are required for the Senior Data Engineer position at Ravio?

Candidates applying for the Senior Data Engineer position at Ravio should have over six years of experience in data engineering. Proficiency in high-level programming languages, particularly Python, is required. Familiarity with cloud tools such as Terraform and SQL databases is also essential to thrive in this role.

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What technologies will a Senior Data Engineer at Ravio be working with?

At Ravio, a Senior Data Engineer will work with various technologies including Python for data engineering and GCP services such as Cloud Functions, BigQuery, and CloudSQL. Experience with CI/CD tools like GitHub Actions and Terraform is also expected as they support our modern data infrastructure.

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How is team culture at Ravio for a Senior Data Engineer?

The team culture at Ravio is positive and ambitious, making it a fun environment for a Senior Data Engineer. We believe in accountability and collaboration, where everyone is encouraged to do their best work while supporting one another. Emotional intelligence and good communication skills are important to foster this culture.

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What benefits are provided to Senior Data Engineers at Ravio?

Senior Data Engineers at Ravio enjoy a competitive salary between £75,000 and £105,000 along with meaningful equity ownership in the company. Additional benefits include 37 days of paid time off, a comprehensive pension matching scheme, wellness allowances, private healthcare, and generous parental leave policies.

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Common Interview Questions for Senior Data Engineer
What data engineering projects have you worked on in the past?

When discussing your data engineering projects, focus on your role, the technologies used, the challenges faced, and the outcomes achieved. Detail how you improved or built data pipelines and the impact it had on the business. Be specific about metrics, as quantitative evidence can make a strong impression.

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How do you ensure data quality and integrity?

To ensure data quality and integrity, it’s important to implement testing procedures, data governance practices, and continuous monitoring of data pipelines. Discuss specific methodologies or tools you've used to maintain high standards of data quality, such as automated tests and validation checks.

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Can you explain your experience with cloud platforms?

When asked about your experience with cloud platforms, detail which platforms you've worked with (like GCP or AWS), the types of services you've utilized, and specific projects that involved cloud infrastructure setup. Highlight how leveraging cloud technology improved efficiency or scalability in your projects.

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Describe a challenging problem you faced in your previous work and how you solved it.

Choose a specific example that reflects your problem-solving skills, ideally related to data engineering. Outline the problem, the analysis you conducted, the solutions you considered, and the steps you took to implement the final solution, emphasizing collaboration and learning from the experience.

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What is your approach to working in an agile environment?

Discuss your familiarity with agile methodologies, such as Scrum or Kanban, and how they influence your workflow. Share how you prioritize tasks, collaborate with team members, and adapt to changes quickly while maintaining the quality of work.

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How do you handle tight deadlines and pressure in data engineering projects?

Focus on your time management strategies and how you prioritize tasks when facing tight deadlines. Discuss any tools or techniques like project management software that aid you in staying organized and ensuring communication within the team.

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What role does collaboration play in your data engineering process?

Collaboration is crucial in data engineering; explain how you frequently work with cross-functional teams such as data scientists and product managers. Emphasize the importance of collective brainstorming sessions and how collaborative tools help in sharing ideas while working on projects.

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What are some best practices for creating scalable data pipelines?

Talk about design principles such as modularity, reusability, and efficient data handling. Mention any frameworks or tools you've applied that facilitate scalability in data pipeline development and how you've implemented best practices in your previous roles.

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How do you stay updated on the latest trends in data engineering?

Mention your commitment to ongoing learning through various channels such as attending webinars, following industry leaders on social media, participating in trade shows, or joining relevant professional organizations. You could also discuss specific resources like blogs or newsletters you find beneficial.

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What excites you about the role of Senior Data Engineer at Ravio?

Express your enthusiasm for Ravio's mission to improve compensation, and how you see data engineering as a vital element in achieving that. Highlight your eagerness to tackle new challenges and scale impactful projects that truly matter to employees and companies alike.

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DATE POSTED
April 9, 2025

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