Remote Senior Data Engineer: Azure ETL & Analytics

WPP; Perímetro Urbano Medellín; Hybrid; COP 120,000,000 - 240,000,000; Full time

Benefits offered by this job

Medical insurance

Group retirement plans

Vision and dental insurance

Significant paid time off

Employee mental health days

Job summary

WPP Media is seeking a Senior Data Engineer to design, build, and optimize enterprise ETL/ELT pipelines using Azure services and modern orchestration tools. You will own production reliability, mentor engineers, and collaborate with global teams across the US, Europe, and Asia to deliver scalable data solutions.

The role emphasizes SQL performance, Azure Data Factory/Data Lake, Databricks, dbt, and CI/CD automation, with remote/hybrid options for candidates in Colombia or Mexico.

Qualifications

• 3–4 years of progressive professional experience in data engineering.
• Expert-level Azure and Azure data services experience in production.
• Design, build, orchestrate, monitor, troubleshoot production pipelines (ADF).
• Experience with Azure Databricks, dbt, and large-scale ETL/ELT.
• Strong SQL, including performance tuning and data validation.
• Python and API orchestration for automation.
• CI/CD, production operations, high availability, monitoring.
• Experience with Adverity/Dataflow, Terraform, Wrike, Jira, or Azure DevOps is a plus.
• DP-203 and/or GCP Professional Data Engineer certification is a plus.
• Must be able to perform live SQL coding assessment.

Responsibilities

• Design, develop, and optimize enterprise ETL/ELT pipelines with Azure stack.
• Build and optimize Azure T-SQL solutions for analytics and real-time data.
• Develop automation frameworks with Python and API orchestration.
• Own production pipeline reliability and perform root-cause analysis.
• Enforce coding standards and perform architectural reviews; mentor engineers.
• Maintain data lineage, governance, and CI/CD deployment practices.
• Collaborate with US onshore leadership to translate requirements into scalable solutions.
• Lead end-to-end pipeline architecture and modernization (Azure Databricks, dbt).
• Monitor SLAs, manage risks, and support data security/compliance.

Skills

3–4 years of experience

Azure Data Factory

Azure Data Lake Storage

Azure Databricks

Azure SQL / T-SQL

Python

API orchestration

CI/CD automation

Data governance

SQL performance tuning

Data security/compliance

Jira / Azure DevOps / Wrike

dbt

Terraform

BigQuery

Adverity/Dataflow

Education

Tools

Azure Data Factory

Azure Data Lake Storage

Azure Databricks

dbt

Terraform

Wrike

Jira

Azure DevOps

BigQuery

Job description

WPP Media is seeking a Senior Data Engineer to design, build, and optimize enterprise ETL/ELT pipelines using Azure services and modern orchestration tools. You will own production reliability, mentor engineers, and collaborate with global teams across the US, Europe, and Asia to deliver scalable data solutions.

The role emphasizes SQL performance, Azure Data Factory/Data Lake, Databricks, dbt, and CI/CD automation, with remote/hybrid options for candidates in Colombia or Mexico.