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Oracle Data Engineer Jobs in Ontario (NOW HIRING)

... Engineering, data integration, or analytics engineering. * Strong programming skills in Python ... Familiarity with RDBMS technologies (Oracle, SQL Server, DB2) and exposure to NoSQL stores (MongoDB ...

There are numerous technologies used by the team (SQL, Oracle, Crystal Reports, SSRS, LOGI, Tableau ... Basic engineering, system administration and software development (programming) foundation

RQ11342 - Software Developer - Senior

Toronto, ON · On-site

CA$88.54 - CA$106.25/hr

Strong programming skills in Oracle database, PL/SQL, SQL, XML, Unix shell scripts and Oracle Data Integrator * Proved business knowledge of General Ledger, Accounts Receivable, Collections, Accounts ...

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Oracle Data Engineer information

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$13

$59

$89

How much do oracle data engineer jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for oracle data engineer in Ontario is $59.17, according to ZipRecruiter salary data. Most workers in this role earn between $48.08 and $72.36 per hour, depending on experience, location, and employer.

What is an Oracle data engineer?

An Oracle Data Engineer is responsible for designing, developing, and maintaining data solutions using Oracle technologies. They work with large datasets, optimizing database performance, writing SQL queries, and building ETL pipelines. Their role includes ensuring data integrity, security, and efficient processing for analytics and reporting. They often collaborate with data analysts, scientists, and IT teams to support business intelligence initiatives.

What does an Oracle data engineer do?

An Oracle Data Engineer typically spends their days developing and maintaining data pipelines, designing and optimizing complex Oracle SQL queries, and supporting the integration of diverse data sources into centralized systems. You may troubleshoot data quality issues, implement performance tuning, and collaborate closely with data analysts, business intelligence professionals, and other engineers to deliver reliable and scalable data solutions. Additionally, you might be involved in supporting data migrations, automating processes, and ensuring the security and integrity of sensitive information. This role offers an engaging mix of hands-on technical tasks and cross-functional teamwork, making each day both challenging and rewarding.

What are the key skills and qualifications needed to thrive as an Oracle data engineer?

To thrive as an Oracle Data Engineer, you need strong expertise in database design, SQL programming, data integration, and ETL processes, often supported by a degree in computer science or a related field. Familiarity with Oracle Database, Oracle Data Integrator (ODI), PL/SQL, and relevant certifications such as Oracle Certified Professional are highly valuable. Analytical thinking, problem-solving, and effective communication are important soft skills for collaborating with stakeholders and translating business needs into data solutions. These skills ensure the reliable design, implementation, and optimization of data systems that support organizational decision-making and operational efficiency.

What are popular job titles related to Oracle Data Engineer jobs in Ontario?

For Oracle Data Engineer jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Oracle Data Engineer jobs in Ontario look for?

The top searched job categories for Oracle Data Engineer jobs in Ontario are:

Infographic showing various Oracle Data Engineer job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $123,066 per year, or $59.2 per hour.
Scotiabank
Banking and Credit Intermediation • 10K+ employees

Full-time

PTO

Re-posted 22 days ago


Job description

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 semistructured 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 crossfunctional 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.
  • Handson experience with Apache Spark, PySpark, Beam, or Flink for largescale 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.