Senior Data Engineer: Cloud Data Pipelines & Observability

Titan OS; Barcelona; Presencial; EUR 90.000 - 120.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Private health insurance

Descripción de la vacante

Titan Operating System S.L. (Titan OS) in Barcelona is seeking a Senior Data Engineer to build and maintain data infrastructure powering its operating system. You will transform data into actionable insights, collaborating with cross-functional teams on scalable pipelines.

The role emphasizes strong Python and SQL skills, experience with ETL and Airflow, and cloud proficiency across AWS/Azure/GCP, plus data observability and DataOps practices. Fluency in English is required.

Formación

• Proven experience in a data engineering role.
• Strong programming in Python.
• Proficient in SQL and data modeling techniques.
• Knowledge of ETL frameworks and Airflow.
• Experience with AWS/Azure/GCP cloud services (S3, Redshift, Databricks, Snowflake).
• DevOps mindset with end-to-end project responsibility.
• Excellent communication and collaboration skills.
• Fluent in English.
• Experience with high-volume telemetry or clickstream data.

Responsabilidades

• Design and implement integration of data solutions and pipelines.
• Develop and maintain AWS data ingestion/processing infrastructure.
• Optimize data management for cost and performance.
• Identify root causes of data quality issues and apply fixes.
• Design Data Observability frameworks to monitor data health and pipeline performance.
• Standardize DataOps practices including IaC and automated testing.

Conocimientos

Python

SQL

Data modeling

Airflow

AWS

Azure

GCP

DevOps

Communication

English

Telemetry data

Herramientas

Spark

Scala

Descripción del empleo

Titan Operating System S.L. (Titan OS) in Barcelona is seeking a Senior Data Engineer to build and maintain data infrastructure powering its operating system. You will transform data into actionable insights, collaborating with cross-functional teams on scalable pipelines.

The role emphasizes strong Python and SQL skills, experience with ETL and Airflow, and cloud proficiency across AWS/Azure/GCP, plus data observability and DataOps practices. Fluency in English is required.