Senior Data Engineer Lead
At a glance
Senior Data Engineering role at Scotiabank. Bogota.
Pay not stated Data Engineering salary
dataroles summary, based on the employer's posting.
What you'll do
- Design and improve cloud data pipelines and architectures to keep data products scalable, reliable and performant
- Set technical direction for a group of no more than three data engineers, with coaching and performance feedback
- Translate needs from data scientists, product managers and software engineers into useful data products
- Maintain cloud data governance, security and compliance while monitoring availability, data quality and processing
- Investigate pipeline failures and evaluate cloud services or external tools to strengthen data capabilities
What you bring
- A bachelor's degree in computer science, data engineering, information technology or a related discipline
- At least six years in data engineering, including three years developing solutions across cloud platforms
- At least two years mentoring or leading engineers, with successful project delivery
- Practical knowledge of GCP data tools and Python, Java or Scala, along with SQL
- English proficiency at intermediate B2 level or above
Who this fits
This role suits a senior engineer who can lead a small team while staying involved in cloud data engineering. The position is office-based in Bogotá, Colombia, with standard working hours.
From the employer
ID de la solicitud: 277374
Gracias por tu interés en ScotiaTech, el nuevo e innovador centro tecnológico de Scotiabank en Bogotá.
Únete a un equipo ganador que promueve la creatividad y la innovación en un entorno cambiante, donde siempre estamos comprometidos con el logro de resultados, en una cultura inclusiva, diversa y de alto desempeño.
Purpose
The Senior Data Engineer will lead the design, development, and maintenance of scalable data products and pipelines across multiple cloud platforms, including AWS, Microsoft Azure, and Google Cloud Platform (GCP). This role is critical in driving data-driven decision-making by building robust, efficient, and secure data infrastructure in multi-cloud environments. 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 cloud platforms 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 cloud 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.
• Contributes to the evaluation and integration of new cloud 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:
• 6+ years of experience in data engineering, with at least 3 years focused on building data solutions across cloud platforms, including Microsoft Azure, AWS, and Google Cloud Platform (GCP). Specific hands-on experience with Microsoft Azure and Databricks is highly desirable.
• 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.
• Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.
Soft Skills:
• Results driven.
• Hit the ground running.
• Strong communication skills (written & verbal), interacting with Product, Design and Back-end Teams.
• Sense of urgency.
• Great communication skills.
• Obstacles removal.
• Proactive to find solutions to new problems.
• High accountability.
• English intermediate B2+.
• Teamwork.
Working Conditions
• Work in a standard office-based environment, with standard hours
#COLGBS.
Ubicación(s): Colombia : Bogota : Bogota
ScotiaTech es una unidad de negocio de ScotiaGBS, un grupo de empresas de Scotiabank, ubicado en Bogotá, Colombia. ScotiaTech fue creado para apoyar diversos sistemas y procesos tecnológicos del Banco. Ofrecemos un entorno de trabajo inclusivo y positivo, además de ventajas competitivas.
En ScotiaTech, valoramos las habilidades y experiencias únicas que cada persona aporta y nos hemos comprometido a crear y mantener un entorno inclusivo y accesible para todos. Los candidatos deben postularse directamente en línea si desean ser tomados en cuenta para este puesto. Agradecemos a todos los candidatos por su interés en esta oportunidad profesional en ScotiaTech; sin embargo, solo contactaremos a quienes hayan sido seleccionados para una entrevista.
Nota: Todos los puestos que se publican en me@Scotiabank estarán disponibles durante al menos 5 días.
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