data mining analyst

Scotiabank; Toronto; On-site; CAD 100,000 - 125,000; Full time

Job summary

A leading Canadian bank is seeking a Data Engineer to support data integration solutions across various business lines. The role involves ensuring compliance with regulations and contributing to high-visibility projects. Ideal candidates should have at least 5 years of software development experience, hands-on experience with Big Data technologies, and strong communication skills. This is a permanent, full-time position with an hourly salary ranging from $29.74 to $64.90.

Benefits

Diversity, Equity, and Inclusion initiatives

Qualifications

• At least 5 years of industry experience in software development using agile methods.
• Excellent understanding of database and data management concepts.
• At least 3 years of experience with Big Data technologies including Apache Hadoop, Hive, Sqoop, and Spark.
• Hands-on experience with Talend or a similar ETL tool.
• Experience with Java and/or Python.
• Hands-on experience with Unix/Linux CLI and shell scripting.
• Experience with GitHub, JIRA, Confluence, and Jenkins pipelines.

Responsibilities

• Champion a customer-focused culture and deepen client relationships.
• Participate in data engineering and transformation design.
• Contribute to data ingestion, transformation, and extraction solutions in the Enterprise Big Data platform.
• Work with Data Architecture and QA teams to incorporate risk considerations.
• Ensure operational compliance and adequate business controls.

Skills

Software development using agile methods

Database management concepts

Big Data technologies (Hadoop, Hive, Sqoop, Spark)

ETL tools (Talend)

Java and/or Python

Unix/Linux command line interface

GitHub, JIRA, DevOps

Communication and presentation skills

Job description

Title: Data Engineer

Posted on: November 14, 2025

Employer: Scotiabank

Requisition ID: 208765

Job Details

The Canadian Banking Technology (CBT) team supports the end‑to‑end technology needs of Scotiabank’s Canadian banking business, including a broad range of banking products and services from savings and chequing accounts to credit cards and commercial loans. The Data Engineering team under CBT is responsible for delivering data integration solutions for a variety of business lines, supporting regulatory, compliance, Big Data Analytics, Cloud technologies, and risk reporting requirements.

As a Data Engineer you will contribute to the overall success of the Data Engineering and Data Services function in Canada. You will ensure your individual goals, plans, and initiatives are executed in support of the team’s business strategies and objectives, while staying compliant with governing regulations, internal policies, and procedures.

Responsibilities

• Champion a customer‑focused culture, deepening client relationships and leveraging broader bank relationships, systems, and knowledge.
• Champion a high‑performance environment and contribute to an inclusive work environment.
• Participate in data engineering and transformation design to ensure highly scalable, extensible, and performant solutions.
• Hands‑on development supporting data integration, analytics and cloud environments.
• Contribute to data ingestion, transformation and extraction solutions in the Enterprise Big Data platform (EDL).
• Contribute to data and project design and delivery for high‑visibility projects such as the TSYS Modernization.
• Translate architecture or design into logical and physical data models compliant with existing and evolving standards and practices.
• Work with Data Architecture and QA teams to ensure risk considerations are incorporated into day‑to‑day decisions.
• Actively pursue efficient operations of your area in accordance with organization values and the Code of Conduct, ensuring adequate business controls for operational, compliance, and AML/ATF/sanctions obligations.

Qualifications

• At least 5 years of industry experience in software development using agile methods (Scrum, Kanban, etc.).
• Excellent understanding of database and data management concepts and technologies.
• At least 3 years of experience working with Big Data technologies including Apache Hadoop, Hive, Sqoop, Spark.
• At least 3 years of hands‑on experience with Talend or a similar ETL tool.
• At least 3 years of hands‑on experience with Java and/or Python.
• Hands‑on experience with Unix/Linux command line interface (CLI) and shell scripting.
• Experience with GitHub, JIRA, Confluence, DevOps, Jenkins pipelines, and code promotion.
• Strong communication and presentation skills.
• Level 3 production support experience is an asset and sometimes required.

Benefits

• Diversity, Equity, Inclusion & Allyship – We strive to create an inclusive culture where every employee is empowered to reach their fullest potential.
• Location: Toronto, ON
• Work location: On site
• Salary: $29.74 to $64.90 per hour
• Terms of employment: Permanent, Full time
• Starts as soon as possible
• Vacancies: 1
• Source: CareerBeacon #2181524

Advertised until: 2025‑12‑13