Title:  Data Engineer

Requisition ID: 252985 

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

We are seeking a dedicated and enthusiastic Junior Developer to support automation and innovation initiatives across multiple strategic projects. The ideal candidate will have a solid foundation in Python, with exposure to Spark, Hadoop, and cloud platforms considered a strong asset. This role offers hands-on experience, mentorship, and opportunities for continuous learning and career growth.

Is this role right for you? In this role, you will:

• Design, build, and maintain scalable data pipelines using Apache Spark, PySpark, Apache Beam, or Flink.
• Develop and enhance ETL/ELT workflows using Airflow and ETL tools such as Talend, Spring Batch, or NiFi.
• Work with structured and semi‑structured data (CSV, JSON, XML, Parquet, ORC, Iceberg) and apply data wrangling techniques using Python and pandas.
• Contribute to Test Automation Framework enhancements, ensuring reusable and scalable automation components.
• Support Group Intake Automation by translating business and operational requirements into backend workflows and data processes.
• Contribute to BotData Enhancement, developing synthetic data generation and validation logic using PySpark.
• Develop, test, and optimize Python scripts for automation, data transformations, and validation.
• Participate in Agile ceremonies (stand-ups, planning, retrospectives) and contribute to documentation and knowledge sharing.
• Collaborate with cross‑functional teams to support analytics, AML/KYC improvements, governance, and operational reporting.
• Implement DataOps/DevOps best practices including CI/CD pipelines (Jenkins, Cloud Build), automated testing, and infrastructure-as-code using Terraform.
• Perform data profiling, quality checks, and root-cause analysis to improve data reliability.
• Provide support for production systems, ensuring stability, observability, and continuous improvement.

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

• 5+ years of IT experience, including 3+ years in Data Engineering, data integration, or analytics engineering.
• Strong programming skills in Python, with experience in Java or Scala considered an asset.
• Hands‑on experience with Apache Spark, PySpark, Beam, or Flink for large‑scale data processing.
• Proficiency in SQL and experience building ETL/ELT workflows.
• Experience working with file formats such as Iceberg, Parquet, ORC, JSON, XML.
• Strong understanding of modern data architectures (Medallion, Lakehouse, Data Warehouse).
• Experience with orchestration tools such as Airflow.
• Hands-on experience with GCP services (Airflow, Cloud Storage, Cloud Build), or similar cloud platforms.
• Practical knowledge of CI/CD, Jenkins, Cloud Build, GitHub/GitLab/Bitbucket, and Terraform.
• Familiarity with RDBMS technologies (Oracle, SQL Server, DB2) and exposure to NoSQL stores (MongoDB, Cassandra, Elasticsearch).
• Experience with Linux/Unix CLI and shell scripting.

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. 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 - No matter where you choose to work from; we offer opportunities for community engagement & belonging with our various programs.

Location(s):  Canada : Ontario : Toronto 

Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.  

At Scotiabank, 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. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our  Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.