Senior Data Engineer

This is a fully remote position, open to applicants in Europe.

📋 Description

• Develop and maintain the data platform, encompassing data ingestion, transformation, modeling, and serving.

• Manage Fivetran and custom extracts, perform dbt transformations, utilize BigQuery and Metabase, all orchestrated with Airflow.

• Construct data models that are business-friendly for attribution, cohorts, LTV, conversions, returns, and fulfillment.

• Collaborate directly with marketing, finance, and operations teams to convert business inquiries into actionable datasets.

• Address and rectify incorrect business inquiries when necessary.

• Ensure reliability through rigorous testing, monitoring, alerting, data freshness, and resolution of breakages.

• Oversee and manage costs associated with the data warehouse and related tools.

• Facilitate business self-service by providing documented models, clear semantics, and reliable dashboards.

• Leverage AI coding tools daily to enhance delivery speed.

• Become part of a two-person data team, taking individual responsibility from the first week.

⛳️ Requirements

• Minimum of 3 years of practical experience in data engineering or a related field.

• Proficient in Python and SQL, capable of writing, reading, and optimizing production queries.

• Experience with dbt or similar transformation tools in a production environment.

• Familiarity with production orchestration tools such as Airflow, Dagster, or Prefect.

• Strong understanding of data modeling across data warehouses, lakes, and lakehouses.

• Experience with a cloud analytical warehouse; BigQuery is preferred, but Snowflake, Redshift, or ClickHouse are also acceptable.

• Regular use of AI coding tools, with the ability to provide a recent example of their application, including validation and corrections.

• Proficient in English at a minimum of B2/C1 level.

• At least 4 hours of overlap with European working hours required.

• Hands-on working approach with a track record of delivering personal contributions within the last 90 days.

• Experience in a consumer-facing, high-volume commercial domain is a plus.

• Familiarity with Databricks or distributed processing is advantageous.

• Experience with streaming and near-real-time data processing is desirable.

• Knowledge of Docker, Terraform, and CI/CD practices for data workflows is preferred.

• Proficiency in Portuguese is a plus.

🏝️ Benefits

• Fully remote work environment.

• Competitive salary with regular performance evaluations.

• 26 days of paid leave.

• Parental leave policy.

• Support for professional-level cloud certification training and associated budget.

• Work alongside genuinely strong colleagues, with no barriers between you and decision-making.

• Flexibility to modify the technology stack; if something is not right, you have the power to fix it.