Senior Data Engineer

Responsibilities

• Work on complex engineering challenges where the right solution isn’t always obvious.
• Make technical and architectural decisions that improve the reliability, scalability, and performance of our data platform.
• Shape engineering standards around testing, code quality, and infrastructure.
• Spot technical debt and turn it into meaningful improvements instead of letting it pile up.
• Seek for optimizations in infrastructure performance and costs.
• Lead technical discussions, challenge existing approaches, and help the team find better ways of solving problems.
• Share your knowledge and support other engineers in their growth.
• Collaborate with Data Department teams to solve dependencies and make data flow smoothly across the organization.

Requirements

• Strong understanding of data architecture and the ability to design systems that are scalable, reliable, and maintainable.
• Hands-on experience with modern cloud data platforms, infrastructure and using AI coding assistants and agents in daily engineering work.
• Good understanding of software engineering practices.
• Confidence working with ambiguous technical problems, weighing different approaches, and making well-reasoned decisions.

Our mission

Build a scalable and reliable data foundation that enables teams across carVertical to turn data into better products, insights, and decisions.

What we’re looking for

Solid experience building and maintaining production-grade data pipelines and data warehouse solutions.

Experience with technologies in our stack

• BigQuery, AWS, Terraform, dbt, Airflow, Spark and AI agents. You don’t need to have worked extensively with every single one, but you should be comfortable learning and working across the stack.
• A collaborative mindset and the ability to work effectively with multiple technical teams.

What we offer

Work flexibility: Work from home, the office, or combine both – choose what works best for you.

Flexible working hours

Structure your day around when you work best while staying connected with your team.

Meaningful ownership

Take responsibility for complex technical challenges and have a real impact on how our data platform evolves.

Room to grow

Learn from experienced colleagues, experiment with new approaches, and keep developing your technical and leadership skills.

Modern tools

Work with a contemporary data stack, first-class access to AI development tools and have the opportunity to influence how we use and improve it.

Salary

The salary range for this position is 4300-6000 gross/month. We’re open to discussing a different salary based on your skills, competencies, and experience.