Remote Data Analytics Engineer: AI-Driven SQL Lead

Toptal; Madrid; Teletrabalho; EUR 65 000 - 95 000; Tempo integral

Resumo da oferta

Toptal, a global network known for its fully remote teams, seeks a Data Analytics Engineer in Madrid. You will own and maintain the data transformation layer, govern data quality and modeling, and build AI-powered data pipelines.

Fluency with SQL and AI tooling is essential as you collaborate with Data Engineers and Business Analysts to deliver trustworthy data for decision making. You will also define data dictionaries, review code, and drive improvements to data quality, lineage, and

Qualificações

• Bachelor’s degree in a technical field.
• 4+ years shipping production data models.
• Expert SQL and Python basics.
• Fluency with LLMs and agentic coding tools.
• Experience with cloud data warehousing (BigQuery/Snowflake).
• Knowledge of modern transformation frameworks (dbt, Dataform, SQLMesh).
• Git fluency and familiar with orchestration tools (Airflow, Dagster, Prefect).
• Experience in data governance, modeling and BI tooling.

Responsabilidades

• Design, write, review SQL models transforming raw data.
• Collaborate with Data Engineers to model new data sources.
• Monitor data warehouse and extract insights for quality and usability.
• Translate business asks into modeled data and define rules.
• Improve data quality, lineage, and data dictionary documentation.
• Review teammates' code and maintain warehouse hygiene.
• Partner with analysts/scientists to enable data-driven decisions.

Conhecimentos

Advanced SQL

Python

LLMs & AI tooling

Data governance

Data modeling

Data warehousing

BI tools

Communication

Problem solving

Formação académica

Bachelor’s degree in Engineering or related technical field

Ferramentas

BigQuery

Snowflake

dbt

Dataform

SQLMesh

Git

Airflow

Dagster

Prefect

Tableau / Power BI

Descrição da oferta de emprego

Toptal, a global network known for its fully remote teams, seeks a Data Analytics Engineer in Madrid. You will own and maintain the data transformation layer, govern data quality and modeling, and build AI-powered data pipelines.

Fluency with SQL and AI tooling is essential as you collaborate with Data Engineers and Business Analysts to deliver trustworthy data for decision making. You will also define data dictionaries, review code, and drive improvements to data quality, lineage, and