Back-End Developer - Python, GCP

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Requisition

Join a purpose driven winning team, committed to results, in an inclusive and high‑performing culture.

We’re looking for a Back-End Developer to join our team in Global Wealth Engineering, where we are leading the development of generative AI products for asset managers
. You will play a critical role in building enterprise‑grade data pipelines that power intelligent applications. This role blends software engineering, data engineering, and elements of data science to bring clean, reliable, and accessible data into our AI workflows.

• Write and manage your own development tasks in Jira, including well‑defined acceptance criteria and technical subtasks
• Own your stream of work end‑to‑end, proactively identifying blockers, gaps, or data issues before they impact downstream systems
• Write SQL and Python scripts to extract, transform, and load data from diverse sources into standardized, query‑optimized formats
• Design and implement RESTful APIs and microservices.
• Collaborate with front‑end developers, cloud developers, product owners, and other stakeholders to deliver high‑quality solutions.

• Bachelor’s Degree, with a Technology, Computer Science, or Software Engineering background.
• Experience designing and building enterprise‑grade data ingestion pipelines, including handling data from various sources such as REST APIs, Graph
  
  QL, FTP, and file‑based inputs.
• Strong proficiency in Python for data processing, scripting, and orchestration tasks.
• Familiarity with workflow orchestration tools like Apache Airflow (or equivalents) for scheduling and managing data pipelines.
• Solid understanding of data transformation techniques, including cleaning, validation, and standardization across heterogeneous formats.
• Experience creating and managing datasets and tables optimized for query performance and storage efficiency, ideally in cloud‑native warehouses like Big Query.
• Proficiency in SQL for querying, analysis, and validation of data pipelines.
• Hands‑on experience with cloud storage and compute platforms, preferably Google Cloud Platform (GCP).
• Working knowledge of Infrastructure as Code (IaC) tools such as Terraform for provisioning and maintaining cloud resources.
• Ability to proactively identify and resolve data quality issues, schema inconsistencies, and pipeline failures through analysis and debugging.

• Experience with data science workflows, including data exploration, feature engineering, and model evaluation.
• Familiarity with machine learning libraries such as scikit‑learn, XGBoost, pandas, and Num Py.
• Familiarity with retrieval techniques, vector stores, or building LLM applications (e.g., using Lang Chain, FAISS, Pinecone).

• Diversity, Equity, Inclusion & Allyship - We strive to create an inclusive culture where every employee is empowered to reach their fullest potential, respected for who they are, and is embraced through bias‑free practices and inclusive values across Scotiabank. We embrace diversity and provide opportunities for all employee to learn, grow & participate through our various Employee Resource Groups (ERGs) that span across diverse gender identities, ethnicity, race, age, ability & veterans.
• Accessibility and Workplace Accommodations - We value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. Scotiabank continues to locate, remove and prevent barriers so that we can build a diverse and inclusive environment while meeting accessibility requirements.
• Upskilling through online courses, cross‑functional development opportunities, and tuition assistance.
• Competitive Rewards program including bonus, flexible vacation, personal, sick days and benefits will start on day one.
• Dynamic Ecosystem - Free tea & coffee, universal washrooms, and lots of space for team collaboration.
• Community Engagement - We offer opportunities for community engagement &…