Senior Data Engineer — Azure ETL, BI, Remote

WPP Media; Medellín; Híbrido; COP 120.000.000 - 180.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Life insurance

Wellness programs

Paid time off

Descripción de la vacante

WPP Media is seeking a Senior Data Engineer to design, develop, and optimize enterprise data pipelines in a global operations context. You will work with Azure Data Factory, Azure Data Lake Storage, and serverless tech to ensure scalable, secure data flows across US, Europe, and Asia.

You will own production reliability, perform root-cause analysis, and mentor engineers while collaborating with data teams to deliver high-performance analytics solutions and compliant data governance.

Formación

• 3–4 years of progressive experience in data engineering.
• Expert-level hands-on experience with Azure Data Factory, advanced Azure T-SQL/SQL, and cloud data platforms such as Azure and/or GCP.
• Proven experience designing, optimizing, and managing large-scale, production-grade ETL/ELT pipelines, including ADF orchestration and Azure Data Lake Storage.
• Advanced SQL performance tuning skills, including complex query optimization, partitioning, indexing, and high-volume data processing.
• Strong Python and API orchestration skills for automation.
• Advanced experience with production operations, troubleshooting, root-cause analysis, high-availability processing, monitoring, SLA management, and CI/CD automation.
• Experience with one or more of Adverity, Dataflow, BigQuery, Databricks, dbt, Terraform, Wrike, Jira, or Azure DevOps is a plus.
• DP-203 and/or GCP Professional Data Engineer certification is a plus.

Responsabilidades

• Design, develop, and optimize enterprise ETL/ELT pipelines using Azure Data Factory, Azure Data Lake Storage, and serverless technologies.
• Build and optimize complex Azure T-SQL solutions to support advanced analytics models and real-time data processing.
• Develop automation frameworks with Python and API orchestration to streamline the data lifecycle.
• Own production pipeline reliability by performing root-cause analysis and implementing long-term stability measures.
• Define and enforce coding and architectural standards through code reviews and technical audits, while mentoring engineers.
• Maintain documentation, data lineage, governance, and automated CI/CD deployment practices.
• Partner with US onshore leadership and analytics teams to translate business needs into scalable solutions.
• Lead end-to-end pipeline architecture and modernization initiatives involving Databricks, dbt, and advanced DevOps practices.

Conocimientos

Azure Data Factory

Azure SQL / T-SQL

Python

ETL / ELT pipelines

Databricks

dbt

CI/CD

Terraform

Herramientas

Wrike

Jira

Azure DevOps

GCP

Data Lake Storage

Descripción del empleo

WPP Media is seeking a Senior Data Engineer to design, develop, and optimize enterprise data pipelines in a global operations context. You will work with Azure Data Factory, Azure Data Lake Storage, and serverless tech to ensure scalable, secure data flows across US, Europe, and Asia.

You will own production reliability, perform root-cause analysis, and mentor engineers while collaborating with data teams to deliver high-performance analytics solutions and compliant data governance.