Senior Data Engineer – Data Infrastructure

About the role

Dandy is building the operating system for dental offices worldwide and needs a hands‑on Senior Data Engineer to own and scale its data platform, turning raw data into trusted, self‑serve products and laying the groundwork for AI‑ready data services.

Key responsibilities

• Design, build, and operate ingestion pipelines and connectors (e.g., Fivetran, dbt, BigQuery) that reliably land data from disparate source systems into our warehouse.
• Own and evolve core platform components—including dbt models, the semantic layer, data quality/observability, and orchestration—that power BI tools and internal analytics applications.
• Partner directly with stakeholders across Finance, GTM, Manufacturing, and ML to translate business needs into governed, self‑serve data products.
• Help extend the platform to support AI and agent‑based workflows by providing governed data access, semantic layers usable by LLMs/agents, and safety guardrails at scale.

Required profile

• 5+ years of experience in data engineering, data platform, or SQL‑heavy analytics engineering, preferably in high‑growth startup environments.
• Proven track record building production ingestion pipelines, connectors, and transformation workflows (dbt or equivalent).
• Expert‑level SQL proficiency and working fluency in Python for tooling and automation.
• Hands‑on experience with Looker, Hex, dbt, or comparable BI/analytics tools and ability to evaluate and integrate them.
• Demonstrated ability to collaborate across teams, gather requirements, and drive consensus on data platform decisions.

Required skills

• SQL
• Python
• dbt
• Fivetran
• BigQuery
• Looker
• Hex

What we offer

• Comprehensive healthcare, dental, and mental‑health support.
• Parental‑planning resources and generous paid time off.
• Retirement savings options.
• Inclusive benefits tailored to each country of operation.
• Equal‑opportunity and accessible workplace commitments.