Senior Data Engineer — Remote ETL/BI Pipeline Lead

WPP Media; Bogotá; On-site; COP 120,000,000 - 180,000,000; Full time

Benefits offered by this job

Remote work

Learning & certifications

Paid time off

Wellness programs

Job summary

WPP Media, Global Operations Centre, seeks a Senior Data Engineer to design and optimize data pipelines across the US, Europe, and Asia in a remote or hybrid setup. You will work with Azure Data Factory, Databricks, dbt, and DevOps practices to deliver scalable solutions while mentoring engineers and ensuring reliability.

Ideal candidates have 3–4 years in data engineering, strong SQL, Python, and cloud platform experience, and a passion for data governance and automation.

Qualifications

• 3–4 years of progressive experience in data engineering.
• Expert-level hands-on experience with Azure Data Factory, Azure SQL, and cloud data platforms such as Azure and/or GCP.
• Proven experience designing, optimizing, and managing large-scale ETL/ELT pipelines including ADF orchestration and Azure Data Lake Storage.
• Advanced SQL performance tuning skills, including partitioning, indexing, and high-volume data processing.
• Strong Python and API orchestration skills for automation.

Responsibilities

• 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 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 reviews and audits, mentoring engineers.

Skills

Data engineering

Python

API orchestration

Tools

Azure Data Factory

Azure SQL

Azure Data Lake Storage

Databricks

dbt

Terraform

Jira

Azure DevOps

Job description

WPP Media, Global Operations Centre, seeks a Senior Data Engineer to design and optimize data pipelines across the US, Europe, and Asia in a remote or hybrid setup. You will work with Azure Data Factory, Databricks, dbt, and DevOps practices to deliver scalable solutions while mentoring engineers and ensuring reliability.

Ideal candidates have 3–4 years in data engineering, strong SQL, Python, and cloud platform experience, and a passion for data governance and automation.