Azure Data & BI Engineering Lead

WPP Media Limited

Bogotá ciudad

On-site

COP 120,000,000 - 180,000,000

Full time

14 days+

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Job summary

WPP Media is seeking a Manager Data Engineer to act as the technical authority for offshore delivery, guiding complex data engineering solutions and overseeing large-scale pipelines. The role focuses on Azure Data Factory, T-SQL, and innovative automation to deliver enterprise-grade data platforms.

You will mentor engineers and collaborate with US onshore leadership to achieve operational excellence. The Senior-Level expectations include leading modernization initiatives with Databricks, DBT,

Qualifications

  • 3-4 years of progressive experience in data engineering.
  • Expertise in Azure Data Factory and SQL within cloud data platforms.
  • Experience with Databricks, DBT, and CI/CD automation.

Responsibilities

  • Design, build, and optimize enterprise ETL/ELT pipelines on Azure Data Factory and Data Lake Storage.
  • Develop advanced SQL solutions for analytics models and real-time data processing.
  • Lead automation frameworks using Python and API orchestration to streamline data lifecycle.
  • Ensure pipeline reliability with proactive issue resolution and robust stability measures.
  • Establish coding standards and perform thorough code reviews and audits.
  • Document data lineage and enable governance across data assets (CI/CD, monitoring).
  • Provide expert support to analytics and media teams translating business needs into scalable tech solutions.

Skills

Data engineering experience

Tools

Azure Data Factory
SQL
Databricks
DBT
Terraform
Wrike
Jira
Azure DevOps
BigQuery
GCP

Job description

WPP Media is seeking a Manager Data Engineer to act as the technical authority for offshore delivery, guiding complex data engineering solutions and overseeing large-scale pipelines. The role focuses on Azure Data Factory, T-SQL, and innovative automation to deliver enterprise-grade data platforms.

You will mentor engineers and collaborate with US onshore leadership to achieve operational excellence. The Senior-Level expectations include leading modernization initiatives with Databricks, DBT,

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