Lead Software Engineer (Python | Databricks)

Scotiabank; Toronto; On-site; CAD 90,000 - 120,000; Full time

Benefits offered by this job

Diversity and Inclusion initiatives

Tuition assistance

Flexible vacation and benefits from day one

Community engagement opportunities

Job summary

A leading financial institution is seeking a Lead Software Engineer specializing in Python and data technologies. The role involves collaborating with business teams to develop market-leading solutions, designing data models, and enhancing applications. Candidates should have over 4 years of experience in Python, ETL pipelines, and large-scale applications. The position offers a culture of diversity and inclusion, along with competitive rewards and benefits from day one.

Qualifications

• 4+ years’ experience with Python (PySpark, Pandas).
• 4+ years’ experience with designing scalable ETL pipelines & data modeling.
• 4+ years’ experience developing and maintaining large scale applications.

Responsibilities

• Understand business needs, conduct gap analysis and requirements assessments.
• Deliver and enhance new and current solutions and applications.
• Support the solution in production as needed.

Skills

Python (PySpark, Pandas)

ETL pipelines & data modeling

SQL

DataBricks or Snowflake

Azure/GCP

Airflow or Data Factory

DevOps (CI/CD, Jenkins, Git)

Agile methodology

Education

Bachelor’s degree in computer science or Engineering

Tools

Postgres

MSSQL

Oracle DB

Apache Spark

Apache Kafka

Apache ElasticSearch

Job description

Lead Software Engineer (Python | Databricks)

Requisition ID: 258694

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

The Team

Global Banking and Markets Engineering (GBME) is the fast-moving, award-winning technology engine that powers Scotiabank’s Corporate, Investment Banking and Capital Markets businesses.

The Role

GBME is searching for Software Engineers who are continuous learners and are eager to boost capabilities of capital markets products and analytics platforms. The successful candidate will have a strong technical and engineering mindset. You will work closely with business teams and cross functional engineering leaders to develop and implement market leading solutions for the various projects within GBME.

In this role you will:

• Work closely with end users, and business teams to understand business needs, conduct gap analysis and requirements assessments as needed
• Partner with Architecture on the design and integration
• Deliver and enhance new and current solutions and applications
• Be involved in the full life cycle of a project, responsible for the design, producing actionable and complete specifications, writing production quality code, and implementation
• Design, deliver and implement data models, database schema and data pipelines
• Design test sets and automate where possible, including functional and non‑functional testing, regression testing as well as performance testing
• Write deployment scripts and leverage tools such as the Accelerator pipeline to promote code
• Support the solution in production (as needed)
• Improve the end user experience by finding scalable solutions and addressing complex ad hoc queries.
• Effectively communicate with technical and non‑technical audiences
• Able to work with and refactor legacy code (as needed).
• Coach and train end users (as needed).
• Participate and run SCRUM Meetings (as needed).

Do you have the skills that will enable you to succeed in this role? We’d love to work with you if you have:

• 4+ years’ experience with Python (PySpark, Pandas)
• 4+ years’ experience with designing scalable ETL pipelines & data modeling
• 4+ years’ experience developing, deploying, and maintaining large scale applications with complex integration
• 4+ years’ experience reading, writing, and running SQL scripts.
• Working experience with data technologies and databases, preferably in one or more of: Postgres, MSSQL, Oracle DB, Apache Spark, Apache Kafka, Apache ElasticSearch, comfortable working with large datasets
• Working experience with data platforms: DataBricks or Snowflake
• Working experience with cloud platforms (Azure/GCP)
• Working experience with workflow orchestration tool such as Airflow or Data Factory
• Working experience with Web Services & API
• Hands‑on experience with DevOps: CI/CD (Jenkins, Git)
• Experience working in an Agile environment, with experience and understanding of Test‑Driven Development methodology.
• Bachelor’s degree in computer science, Engineering or relevant experience.

Preferred Qualifications (Nice to have)

• Understanding of networking protocols and security principles
• Capital Markets product knowledge
• Experience working with real‑time, high availability and low latency systems
• Experience in multi‑threaded applications

What's in it for you?

• 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 are embraced through bias‑free practices and inclusive values across Scotiabank.
• 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.
• 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.
• Community Engagement - no matter where you choose to work from; we offer opportunities for community engagement & belonging with our various programs.

Location(s): Canada : Ontario : Toronto

If you require accommodation during the recruitment and selection process, please let our Recruitment team know.