Data & BI Engineering Manager — Azure ETL & Automation

WPP Media Limited

Perímetro Urbano Medellín

On-site

COP 60,000,000 - 120,000,000

Full time

14 days+

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Job summary

WPP Media Limited seeks a Manager Data Engineer to set strategic direction for complex data pipelines across large media datasets. You will architect, optimize, and govern advanced data platforms, mentoring engineers while collaborating with US onshore leadership to deliver scalable solutions.

The role emphasizes Azure Data Factory, T‑SQL, and modernization initiatives with Databricks, DBT, and DevOps practices to drive innovation and operational excellence.

Qualifications

  • 3-4 years of progressive experience in data engineering.
  • Expert-level mastery of Azure Data Factory (ADF) and SQL.
  • Experience with cloud data platforms (Azure and/or GCP).
  • Designing, optimizing, and managing large-scale production pipelines.

Responsibilities

  • Design, develop, and optimize ETL/ELT pipelines using ADF and DL Storage.
  • Implement efficient SQL solutions with performance tuning and indexing.
  • Lead automation frameworks with Python and API orchestration.
  • Ensure production pipeline reliability and proactive issue resolution.
  • Enforce coding and architectural standards via reviews and audits.
  • Document data lineage and establish CI/CD deployment practices.
  • Provide expert support for analytics teams and translate business challenges into scalable solutions.

Skills

Azure Data Factory
SQL
Cloud data platforms (Azure & GCP)
Automation & CI/CD

Tools

Databricks
DBT
Terraform
Wrike/Jira/Azure DevOps

Job description

WPP Media Limited seeks a Manager Data Engineer to set strategic direction for complex data pipelines across large media datasets. You will architect, optimize, and govern advanced data platforms, mentoring engineers while collaborating with US onshore leadership to deliver scalable solutions.

The role emphasizes Azure Data Factory, T‑SQL, and modernization initiatives with Databricks, DBT, and DevOps practices to drive innovation and operational excellence.

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