Senior Data & Analytics Engineer

BizzyCar

3d

About The Position

This is a build + lead role with real influence.
As a Senior Data & Analytics Engineer, you’ll own BizzyCar’s data foundation
and help shape how data drives decisions across the company. You’ll lead
execution across data initiatives, manage and mentor a growing data team, and
ensure our analytics, pipelines, and insights scale with the business.
This role is ideal for someone who loves being hands-on technically, enjoys
leading people, and wants their work to directly influence product strategy,
customer experience, and company direction. If you’re excited by turning messy
data into trusted insights—and helping others do the same—you’ll thrive here.

Requirements

• A proven people leader
• Experience leading, mentoring, and scaling technical teams in fast-paced environments
• Strong hands-on technical foundation
• Deep expertise in:
• Python (data analysis, automation)
• SQL (complex queries, optimization)
• dbt (data modeling and transformations)
• Amazon Redshift (analytics and warehousing)
• Data platform mindset
• Strong understanding of ETL/ELT pipelines, data modeling, and scalable system design
• Execution-focused
• Comfortable leading initiatives using agile methodologies
• Able to balance speed, quality, and long-term maintainability
• High-impact problem solver
• Confident navigating ambiguity and driving complex technical and organizational challenges to resolution
• Clear communicator
• Able to translate technical concepts into actionable insights for non-technical stakeholders

Responsibilities

• Own delivery and execution
• Lead delivery across data initiatives, ensuring roadmaps are executed on time, at high quality, and aligned to business goals
• Lead and grow the data organization
• Manage and mentor data analysts and data engineers
• Set technical direction and raise the bar for analytics, data modeling, and insights
• Turn data into decisions
• Drive advanced analysis using Python and SQL to uncover trends and influence product, customer experience, and strategy
• Build and scale data infrastructure
• Own data pipelines and analytics architecture using dbt and Amazon Redshift
• Ensure performance, reliability, and scalability as the company grows
• Ensure data trust and quality
• Define and enforce data quality, validation, and governance standards
• Build confidence in analytics and reporting across the organization
• Partner cross-functionally
• Work closely with Product, Marketing, Customer Support, and Engineering to align data efforts with real business needs
• Set culture and best practices
• Promote modern data engineering practices
• Foster a culture of learning, continuous improvement, and innovation

Benefits

• We value our employees’ time and efforts. Our commitment to your success is enhanced by our competitive compensation and benefits package including paid time off, medical, dental, 401k, vision and equity benefits and future growth opportunities within the company.
• Plus, we work to maintain the best possible environment for our employees, where people can learn and grow with the company.
• We strive to provide a collaborative, creative environment where each person feels encouraged to contribute to our processes, decisions, planning and culture.
• Competitive salary and benefits package
• Opportunities for growth and professional development
• Collaborative, innovative work environment with a passionate team
• The chance to make an impact in a high-growth, cutting-edge company at the forefront of automotive technology

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 101-250 employees