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Analytics Developer

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What you’ll work on

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  • Own and enhance the data transformation and modeling layers of data products, ensuring alignment with enterprise data standards, architecture principles, and business objectives.

  • Partner with business stakeholders and technical teams to drive adoption, improve solution effectiveness, and identify opportunities for continuous improvement and innovation.

From the employer’s posting
Design, develop, and deliver end-to-end analytical solutions, supporting data integration, transformation, analytics, modeling, and data delivery across International Banking markets. Own and enhance the data transformation and modeling layers of data products, ensuring alignment with enterprise data standards, architecture principles, and business objectives. Apply technologies such as SQL, Python, Apache Spark, Apache Airflow, Google Cloud Platform, Docker, Git, Kubernetes, and Infrastructure-as-Code frameworks.
Participate in modern delivery practices and contribute to consistent development processes, automation, engineering standards, and operational excellence. Partner with business stakeholders and technical teams to drive adoption, improve solution effectiveness, and identify opportunities for continuous improvement and innovation. Take ownership of assigned initiatives and deliver high-quality solutions with strong accountability for outcomes, timelines, and business impact.
Education & alternatives
Education / Experience / Other Information - Bachelor’s degree in computer science, Engineering, or a related field, or equivalent practical experience. - 4-6+ years of experience designing, developing, and delivering analytical, data, or software solutions in analytics engineering, data engineering, software engineering, or related technical roles.

Posting record

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Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 2, 20261 day ago
Recorded sightings
3
Last seen by us
Nov 4, 2026

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See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • BigQuery
  • Docker
  • Kubernetes
  • Spark
  • Airflow
  • GCP
Where the posting names them
- Own and enhance the data transformation and modeling layers of data products, ensuring alignment with enterprise data standards, architecture principles, and business objectives. - Apply technologies such as SQL, Python, Apache Spark, Apache Airflow, Google Cloud Platform, Docker, Git, Kubernetes, and Infrastructure-as-Code frameworks. - Provide technical leadership by establishing development standards, promoting reusable components and best practices, and mentoring Associate Analytics Developers.
- 4-6+ years of experience designing, developing, and delivering analytical, data, or software solutions in analytics engineering, data engineering, software engineering, or related technical roles. - Strong hands-on experience with Python, SQL, Apache Spark, Apache Airflow, Git, Docker, Kubernetes, Infrastructure-as-Code frameworks, and cloud-based data platforms. - Experience designing and implementing scalable data models, data transformation frameworks, and analytical data products.
- Experience designing and implementing scalable data models, data transformation frameworks, and analytical data products. - Strong proficiency with Google Cloud Platform technologies, including BigQuery, Composer, Cloud Functions, and related cloud services. - Experience working with modern data engineering practices, Big Data technologies, and enterprise data warehousing methodologies.

Your next step

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Job description

View original posting ↗

 

 

 

 

Requisition ID: 277041

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 Analytics Developer contributes to the success of Analytics Engineering by designing, developing, and delivering end-to-end analytical and AI solutions that drive business value. This role partners closely with business and technology stakeholders to translate complex business requirements into scalable data products and analytical solutions, while providing technical leadership, promoting engineering best practices, and ensuring compliance with Bank standards, policies, and regulatory requirements.

 

Accountabilities

 

  • Champion a customer-focused culture to deepen client relationships and leverage broader Bank relationships, systems, and knowledge.
  • Collaborate with business, analytics, and engineering teams to translate business requirements into scalable analytical solutions and data products that deliver measurable business value.
  • Design, develop, and deliver end-to-end analytical solutions, supporting data integration, transformation, analytics, modeling, and data delivery across International Banking markets.
  • Own and enhance the data transformation and modeling layers of data products, ensuring alignment with enterprise data standards, architecture principles, and business objectives.
  • Apply technologies such as SQL, Python, Apache Spark, Apache Airflow, Google Cloud Platform, Docker, Git, Kubernetes, and Infrastructure-as-Code frameworks.
  • Provide technical leadership by establishing development standards, promoting reusable components and best practices, and mentoring Associate Analytics Developers.
  • Participate in modern delivery practices and contribute to consistent development processes, automation, engineering standards, and operational excellence.
  • Partner with business stakeholders and technical teams to drive adoption, improve solution effectiveness, and identify opportunities for continuous improvement and innovation.
  • Take ownership of assigned initiatives and deliver high-quality solutions with strong accountability for outcomes, timelines, and business impact.
  • Understand and apply the Bank’s risk appetite, risk culture, compliance requirements, and internal policies in day-to-day activities.
  • Support effective and efficient operations in accordance with Scotiabank’s Values, Code of Conduct, Global Sales Principles, and applicable operational, compliance, AML/ATF, sanctions, and conduct risk requirements.
  • Contribute to a high-performance and inclusive work environment.

 

Education / Experience / Other Information 

 

  • Bachelor’s degree in computer science, Engineering, or a related field, or equivalent practical experience.
  • 4-6+ years of experience designing, developing, and delivering analytical, data, or software solutions in analytics engineering, data engineering, software engineering, or related technical roles.
  • Strong hands-on experience with Python, SQL, Apache Spark, Apache Airflow, Git, Docker, Kubernetes, Infrastructure-as-Code frameworks, and cloud-based data platforms.
  • Experience designing and implementing scalable data models, data transformation frameworks, and analytical data products.
  • Strong proficiency with Google Cloud Platform technologies, including BigQuery, Composer, Cloud Functions, and related cloud services.
  • Experience working with modern data engineering practices, Big Data technologies, and enterprise data warehousing methodologies.
  • Experience working in an Agile delivery environment and using tools such as GitHub, Jira, and Confluence.
  • Demonstrated ability to provide technical guidance, mentor junior team members, and promote engineering best practices.
  • Strong analytical, problem-solving, stakeholder management, and communication skills, with the ability to bridge business and technical teams.
  • Knowledge of Medallion Architecture, data governance, and data quality frameworks is considered an asset.
  • Banking, Retail Banking, Risk, or Wealth Management experience is considered an asset.
  • Experience with full-stack application development, or AI-enabled solutions is considered an asset.
  • AI-assisted coding experience is considered a plus (Codex , Claude Code, Antigravity, Github Copilot, etc)

 

Working Conditions

 Hybrid work model consisting of remote and office-based work.

 


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.

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Location & working pattern

Bogota, DC, CO

Working Conditions Hybrid work model consisting of remote and office-based work. Location(s): Colombia : Bogota : Bogota
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