Titan Operating System S.L. (Titan OS), a Barcelona-based technology, entertainment and advertising company, is seeking a Senior Data Engineer to join our Data team in Barcelona. You will design and maintain the data infrastructure that powers our platform to transform data into actionable insights. This role requires a strong technical skillset and a collaborative mindset. Responsibilities: Design and implement data solution integrations and pipelines; Develop and maintain AWS data ingestion and processing infrastructure; Optimize data management and processing for cost and performance; Collaborate with stakeholders to identify root causes of data quality issues and implement fixes; Design and implement Data Observability frameworks to monitor data health, schema drift, and pipeline performance; Standardize DataOps practices, including version control for data models, automated testing, and Infrastructure as Code (IaC). Requirements: Proven experience in data engineering; Strong Python programming; Proficiency in SQL and data modeling; Experience with ETL frameworks and orchestration (Airflow) and cloud data infrastructure (AWS); Experience with cloud platforms (AWS, Azure, Google Cloud) and services such as S3, Redshift, Databricks, Snowflake; DevOps mindset with end-to-end project ownership; Excellent communication and collaboration skills; Fluent in English; Experience with high-volume telemetry or clickstream data. Nice to have: API integration and data extraction experience; SQLMesh, Spark, Scala; Experience with Agile methodologies; Knowledge of data governance best

Titan Operating System S.L. (Titan OS), a Barcelona-based technology, entertainment and advertising company, is seeking a Senior Data Engineer to join our Data team in Barcelona. You will design and maintain the data infrastructure that powers our platform to transform data into actionable insights. This role requires a strong technical skillset and a collaborative mindset. Responsibilities: Design and implement data solution integrations and pipelines; Develop and maintain AWS data ingestion and processing infrastructure; Optimize data management and processing for cost and performance; Collaborate with stakeholders to identify root causes of data quality issues and implement fixes; Design and implement Data Observability frameworks to monitor data health, schema drift, and pipeline performance; Standardize DataOps practices, including version control for data models, automated testing, and Infrastructure as Code (IaC). Requirements: Proven experience in data engineering; Strong Python programming; Proficiency in SQL and data modeling; Experience with ETL frameworks and orchestration (Airflow) and cloud data infrastructure (AWS); Experience with cloud platforms (AWS, Azure, Google Cloud) and services such as S3, Redshift, Databricks, Snowflake; DevOps mindset with end-to-end project ownership; Excellent communication and collaboration skills; Fluent in English; Experience with high-volume telemetry or clickstream data. Nice to have: API integration and data extraction experience; SQLMesh, Spark, Scala; Experience with Agile methodologies; Knowledge of data governance best