Mid - Senior Data Engineer

About the team

We work in cross-functional, autonomous teams.

We follow continuous delivery best practices executed on top of a modern technology stack.

Our products are built for developers, by developers.

Technological excellence is at the heart of what we do.

We are pragmatic and customer-focused.

We strive to find the right set of trade-offs in order to validate our hypothesis as early as possible, iterating on our products based on customer feedback.

We communicate transparently.

We do weekly all-hands where we get together to discuss company performance and goals.

While we are global and remote-friendly, we also operate from our offices in CDMX and Sao Paulo.

To accommodate time zones, we ensure we're synced up between 3 pm and 6 pm, CEST.

We are backed by leading investors in Silicon Valley and Latin America, including Founders Fund, Kaszek Ventures, and YCombinator.

Your opportunity

We're looking for a seasoned Senior Data Engineer to join our Data Platform team.

This team aims to support data understanding at scale by architecting and developing the infrastructure to build data pipelines, move and transform complex datasets from different sources, and improve data discoverability and data literacy.

The ideal candidate provides technical guidance and can own projects across the company.

Ideally has experience building data infrastructure and familiarity with Data Mesh concepts.

As part of the team, you will engage with stakeholders ranging from data insights analysts to deeply technical backend product teams to help define and develop the platform.

You will have ownership of some projects and the opportunity to define new data platform products.

The current platform uses the latest technologies, such as EMR Studio and Apache Iceberg, and you will be responsible for maintaining and evolving it.

Our platform infrastructure is defined with Terraform and processes over a thousand events per second.

We run daily processes that read over 40 terabytes of data using dbt over Athena and Spark on EMR clusters, all orchestrated with Dagster.

We are moving some of our processes to streaming with Kinesis and Flink.

This position may be for you if

You have at least 2 years of experience with data engineering platforms on the AWS cloud

You're fluent in English

You're familiar with orchestrators like Dagster or Airflow

You have previous experience with dbt

You enjoy a challenge dealing with billions of events

You have experience integrating third-party APIs

You love getting things done

Amazing if

You have experience in data engineering, building infrastructure as code in the cloud for a data platform with Terraform

You have experience with DBT and Great Expectations

You have experience with Spark, either in Scala or Python

You have experience with AWS tools such as EMR, DMS, Glue, Kinesis, Redshift

You have experience with data catalogs and data lineage

Our tech stack

We are building our platform with a focus on reliability and long-term maintainability

Backend mainly uses Python with Django and asyncio

Frontend uses JavaScript, Vue.js and Sass with a design system

Infrastructure on Amazon Web Services using managed services where possible

Observability with Datadog

Continuous Integration and Continuous Delivery best practices

Our process steps

At Belvo every hire is a team decision.

The steps typically include :

People team chat

Take-home challenge

Challenge presentation

Meet the founders

Our perks

Stock options (we are all owners and this is very important to us)

Annual company bonus linked to company performance

Flexible working hours

Remote friendly

Pet friendly

Health Insurance

Paid time off on your birthday

Renew your laptop every 3 years

Training Budget

Team building events

Bank holidays swap inside the same month

Fitness / wellness stipends

Yearly company offsite

Fresh fruit every week, all-you-can-drink tea and coffee

Extra days off on company anniversaries

Yearly department offsite

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