Data Engineer – Snowflake & Python (Remote)

UST España & Latam; España; A distancia; EUR 60.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Annual leave 23 days + discretionary 2

WFH/remote policy

Professional training access

Descripción de la vacante

UST España & Latam is seeking a hands-on Data Engineer with strong Snowflake and Python expertise to transform telemetry, log, and event data into trusted insights. You will join a small, impactful team building the data foundations powering engineering intelligence and reporting across the organization.

High English level is required, and you will design, develop, and operate data pipelines with governance, testing, and documentation.

Formación

• Hands-on data engineer with Snowflake and Python expertise.
• Experience building ETL/ELT pipelines at scale.
• Strong data modeling and data integration knowledge.
• Experience with telemetry, event, usage, or log data.

Responsabilidades

• Design, build, and operate engineering telemetry data platforms in Snowflake.
• Develop and maintain Python-based ingestion and transformation pipelines.
• Ingest usage and telemetry data from engineering tools and platforms.
• Parse, normalize, and process high-volume telemetry, log, and event data.
• Create scalable, governed data models for adoption and value analysis.
• Build automated pipelines with monitoring, alerts, and error handling.
• Develop reporting datasets for stakeholder scrutiny.
• Optimize Snowflake models, queries, and storage for performance and cost.

Conocimientos

Snowflake

Python

ETL/ELT

Data modeling

Data integration

Telemetry data

Git-based workflows

Educación

Bachelor's degree in a relevant field

Herramientas

Git

Data orchestration tools

Descripción del empleo

UST España & Latam is seeking a hands-on Data Engineer with strong Snowflake and Python expertise to transform telemetry, log, and event data into trusted insights. You will join a small, impactful team building the data foundations powering engineering intelligence and reporting across the organization.

High English level is required, and you will design, develop, and operate data pipelines with governance, testing, and documentation.