Lead Data Engineer: Azure Databricks & Data Pipelines

ScotiaTech; Bogotá; Presencial; COP 180.000.000 - 280.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Growth opportunities

Diverse and multicultural environment

Wellbeing and benefits

Descripción de la vacante

ScotiaTech in Bogotá, Colombia is seeking a Data Engineer Lead to design, build, test, and optimize data pipelines and lakehouse solutions on Azure and Azure Databricks to support scalable data products for international banking.

You will act as hands-on technical lead, own end-to-end solution design, produce documentation, deliver production-grade code, and mentor a team of data engineers with coaching and performance feedback.

Formación

• 5+ years of progressive hands-on data engineering experience, incl. 3+ years delivering production data solutions on Azure/Azure Databricks.
• Demonstrated experience as a technical lead on complex data initiatives, incl. design reviews and mentoring engineers.
• Design and implement data pipelines using Azure Databricks, Delta Lake, Unity Catalog, Workflows and related Azure services.

Responsabilidades

• Design, build, test, and optimize data pipelines and lakehouse solutions on Azure Databricks for international banking.
• Act as hands-on technical lead: own end-to-end solution design, documentation, and production-grade code delivery.
• Mentor, coach, and develop a team of Data Engineers; conduct code/design reviews and performance feedback.
• Provide effort estimates, identify risks, and keep leadership informed on blockers and progress.
• Collaborate with Data Scientists, Product Owners, Architecture, Platform and Software Engineering to translate requirements into data products.

Descripción del empleo

ScotiaTech in Bogotá, Colombia is seeking a Data Engineer Lead to design, build, test, and optimize data pipelines and lakehouse solutions on Azure and Azure Databricks to support scalable data products for international banking.

You will act as hands-on technical lead, own end-to-end solution design, produce documentation, deliver production-grade code, and mentor a team of data engineers with coaching and performance feedback.