Senior Data Engineer Lead

Scotiabank

Bogotá

Presencial

COP 120.000.000 - 200.000.000

Jornada completa

14 días+

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Descripción de la vacante

ScotiaTech in Bogota, Colombia is seeking a Senior Data Engineer to design, build and maintain scalable data pipelines on Google Cloud Platform. You will lead a small team of up to three Data Engineers and drive data-driven decisions across the business.

The ideal candidate has 5–7 years of data engineering experience on GCP, hands-on with BigQuery, Dataflow, Dataproc, Pub/Sub and Cloud Composer, and strong programming skills in Python/Java/Scala and SQL.

Formación

  • 5–7 years of data engineering experience with GCP.
  • Hands-on with BigQuery, Dataflow, Dataproc, Pub/Sub and Cloud Composer.
  • 2+ years leading or mentoring a team of engineers.
  • Proficient in Python, Java or Scala and SQL.
  • Experience with data modeling and warehousing concepts.
  • Knowledge of CI/CD and Terraform; security and governance in cloud.

Responsabilidades

  • Design, build, and optimize data pipelines and architectures on GCP.
  • Lead a team of up to three Data Engineers with mentorship.
  • Collaborate with Data Scientists, Product Managers, and Software Engineers.
  • Implement data governance, security, and compliance within GCP.
  • Monitor data infrastructure for high availability and quality.
  • Evaluate new GCP services and third-party tools to enhance data capabilities.

Conocimientos

Leadership
Stakeholder communication
Problem-solving
Adaptability
Growth mindset
Mentoring

Educación

Bachelor's in Computer Science
Master's degree asset

Herramientas

BigQuery
Dataflow
Dataproc
Pub/Sub
Cloud Composer
Terraform
Git
CI/CD

Descripción del empleo

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Please be advised that our Careers site will be unavailable from November 28 at 12am ET to November 29 12am ET for scheduled system maintenance.

Requisition ID: 254533

Thanks for your interest in ScotiaTech, Scotiabank's new and innovative Technology hub in Bogota.

Join a purpose driven winning team that promotes creativity and innovation in a fast-paced environment, where we’re always committed to results, in an inclusive, diverse, and high-performing culture.

Purpose

The Senior Data Engineer will lead the design, development, and maintenance of scalable data products and pipelines on Google Cloud Platform (GCP). This role is critical in driving data-driven decision-making by building robust, efficient, and secure data infrastructure. The Senior Data Engineer will oversee a team of up to three Data Engineers, providing technical guidance and ensuring high-quality delivery of data solutions that support business objectives.

Accountabilities

  • Design, build, and optimize data pipelines and architectures on GCP to support data products, ensuring scalability, reliability, and performance.
  • Lead a team of up to three Data Engineers, providing mentorship, technical direction, and performance feedback.
  • Collaborate with cross-functional teams (e.g., Data Scientists, Product Managers, and Software Engineers) to understand requirements and deliver data products that align with business goals.
  • Implement best practices for data governance, security, and compliance within GCP environments.
  • Monitor and maintain data infrastructure, ensuring high availability, data quality, and efficient processing.
  • Drive the adoption of modern data engineering tools and methodologies, including ETL/ELT processes, data modeling, and orchestration.
  • Troubleshoot and resolve complex data pipeline issues, ensuring minimal downtime and optimal performance.
  • Contribute to the evaluation and integration of new GCP services and third-party tools to enhance data capabilities.

Education / Experience / Other Information

Education

  • Bachelor’s degree in Computer Science, Data Engineering, Information Technology, or a related field.
  • A Master’s degree is considered an asset.

Experience

  • 5-7 years of experience in data engineering, with hands‑on expertise in building data pipelines on Google Cloud Platform (GCP).
  • Proven expertise in designing and implementing data pipelines using GCP tools such as BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Composer.
  • 2+ years of experience leading or mentoring a team of engineers, with a track record of successful project delivery.
  • Strong proficiency in programming languages such as Python, Java, or Scala, and SQL for data processing.
  • Hands‑on experience with data modeling, schema design, and data warehousing concepts.
  • Familiarity with CI/CD pipelines, version control (e.g., Git), and Infrastructure as Code (e.g., Terraform) is preferred.
  • Knowledge of data governance, security practices, and compliance standards (e.g., GDPR, CCPA) in cloud environments.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Soft Skills:

  • Strong leadership, stakeholder communication, and problem-solving abilities. Candidates must demonstrate adaptability and a growth mindset.

#LI-HYBRID

Location(s): Colombia : Bogota : Bogota

ScotiaTech is a business unit within ScotiaGBS, a Scotiabank Group company located in Bogota, Colombia. The ScotiaTech hub was created to support different technology systems and processes of the Bank. We offer an inclusive, positive work environment, and competitive benefits.

At ScotiaTech, we value the unique skills and experiences each individual brings and are committed to creating and maintaining an inclusive and accessible environment for everyone. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at ScotiaTech; however, only those candidates who are selected for an interview will be contacted.

Note: All postings in me@Scotiabank will remain live for a minimum of 5 days.

Job Segment: Cloud, Computer Science, Developer, Java, Data Modeler, Technology, Data

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