About the job

We are looking for a highly motivated, self-starting Senior Data Engineer to join the team. You will own the data pipelines and warehouse models that our commercial, partnerships and product teams depend on: the ingestion layer that brings data in from our own platform and from our partners, and the modelled layer in Snowflake that turns it into something a non-engineer can trust and query.

About Meili

Meili builds technology that enables car rental companies to integrate and partner directly with airlines and travel brands, delivering a friction free traveller experience.

Founded by a team with extensive travel tech experience, we’ve already partnered with 25+ global brands including LATAM, SAS, Lufthansa, Air Canada, Accor Hotels, and FREENOW, and we’re committed to rewriting the rules of ancillary distribution.

You’ll love it here if...

You want hands-on ownership and the opportunity to understand our data from end to end.
You thrive in a small team where your ideas and decisions have a visible impact.
You’re excited to shape how a platform evolves - not simply implement someone else’s design.

Key Responsibilities

Design, build and maintain the data pipelines that feed our warehouse, including ingestion from partner systems and third-party sources, each with its own quirks and reliability profile.
Own and extend our modelled analytics layer in Snowflake, turning raw source data into well-documented, well-tested tables that the business can query directly.
Build data quality and observability into the platform: tests, freshness checks, alerting and lineage, so we find out about a broken feed before a partner does.
Model the metrics the business runs on, so that a number means the same thing wherever it appears.
Partner directly with commercial, partnerships and product colleagues to understand what they actually need, and translate vague questions into durable data models rather than one-off queries.
Set engineering standards for the data team - version control, code review, CI, environments, documentation - and raise the bar for how we work.
Mentor, coach and train others, while acting as a technical sounding board across the team.

About You

Substantial building production data pipelines and warehouse models, with clear ownership of systems others depended on.
Strong, fluent SQL - window functions, incremental logic, query tuning - and solid experience with a cloud warehouse. Snowflake specifically is a real advantage.
Confident Python for data engineering: ingestion, transformation, testing.
Dimensional and event-based modelling instincts: you can look at a messy data source and design something sane on top of it.
Software engineering discipline applied to data - Git, code review, CI/CD and testing.
Experience with warehouse cost management and query optimisation at scale.
The communication skills to work with non-technical stakeholders, push back constructively, and create documentation that a colleague can pick up and build on.

Highly desirable

DBT - hands-on experience building and maintaining a modelled transformation layer.
AWS - comfortable working across the services a data platform actually runs on.
Terraform - you manage infrastructure as code rather than by hand.

Nice to have

Travel, airline, OTA, e-commerce or marketplace data experience - especially anything involving bookings, funnels or commission structures.
Experience with multi-currency data and FX conversion in a reporting context.
Streaming or near-real-time ingestion.
BI tooling experience - Metabase, Looker, Power BI or similar - and an eye for making a metrics layer genuinely self-serve

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Responsibilities