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Data Engineer Flink Jobs in Toronto, ON (NOW HIRING)

We are seeking a dedicated and enthusiastic Junior Developer to support automation and innovation ... Handson experience with Apache Spark, PySpark, Beam, or Flink for largescale data processing.

... Spark Flink Knowledge of Zookeeper for distributed coordination services Strong proficiency in ... engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data ...

... Flink. Knowledge of Zookeeper for distributed coordination services. Strong proficiency in Spark ... engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data ...

... Flink. Knowledge of Zookeeper for distributed coordination services. Strong proficiency in Spark ... engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data ...

Data Architect

Toronto, ON · On-site

CA$125K - CA$148K/yr

... using Apache Spark , Flink , and event-streaming technologies. * Drive the data modelling ... Partner with ML Engineers to ensure the data platform is a reliable, low-latency substrate for ...

Data pipeline engineering experience with Apache Spark, Flink, or cloud-native data processing services * API and integration design for enabling secure access to log data across multiple consumer ...

To strengthen our efforts, we are hiring a Software Engineer who will work on improving our routing ... distributed data pipelines and tools such as Apache Airflow, Flink, and Kafka * Excellent ...

... Flink, Spark) * Ensure alignment with security, compliance, and data governance requirements ... Bachelor's degree in Computer Science, Engineering, Mathematics, or equivalent * 10+ years in ...

Senior Software Developer, Backend

Toronto, ON · On-site

CA$107K - CA$157K/yr

We're looking for a Senior Backend / Data Developer who thrives on high-frequency, large-scale data ... Kinesis, Snowflake, Flink or similar) * Hands-on experience with time-series data (storage ...

Developer Enablement/Productivity or Internal Tooling, CI/CD, Generative AI/LLMs, Spark/Flink/Big Data technologies, Data Science/Analytics, Building Products or Internal Tools from Scratch

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Showing results 1-20

Data Engineer Flink information

What is a data engineer Flink?

A Data Engineer Flink is a data engineering professional who specializes in using Apache Flink, an open-source stream processing framework, to build, maintain, and optimize systems that process large-scale data in real time. They design and implement data pipelines, ensure data quality and consistency, and collaborate with other engineering teams to deliver reliable and scalable data solutions. Their expertise allows organizations to process, analyze, and react to data as it is generated, enabling real-time insights and decision-making.

What are the key skills and qualifications needed to thrive as a data engineer Flink?

To thrive as a Data Engineer specializing in Flink, you need strong programming skills (especially in Java or Scala), a solid understanding of distributed data processing, and experience with data architecture. Familiarity with Apache Flink, stream processing frameworks, big data tools (like Kafka, Hadoop, or Spark), and cloud platforms is typically required, along with relevant certifications. Excellent problem-solving abilities, attention to detail, and effective teamwork and communication skills help you excel in complex data environments. These competencies are crucial for building reliable, scalable data pipelines that power real-time analytics and business decision-making.

What are some common challenges data engineers face when working with Apache Flink in a production environment?

Data Engineers working with Apache Flink often encounter challenges such as managing stateful stream processing at scale, ensuring fault tolerance, and optimizing resource usage for real-time data pipelines. Handling late-arriving data and tuning Flink jobs for low latency and high throughput are also frequent hurdles. Collaborating closely with data scientists and application developers is key to aligning data models and ensuring smooth data flow throughout the system.

Are data engineers still in demand?

Data engineers, including those skilled in Apache Flink, are in high demand due to the increasing need for real-time data processing and scalable data infrastructure. Organizations seek professionals with expertise in big data tools, cloud platforms, and programming languages like Java or Scala to build and maintain data pipelines. The role is expected to grow as data-driven decision-making becomes more critical across industries.

What are popular job titles related to Data Engineer Flink jobs in Toronto, ON?

For Data Engineer Flink jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Data Engineer Flink jobs in Toronto, ON look for?

The top searched job categories for Data Engineer Flink jobs in Toronto, ON are:

Infographic showing various Data Engineer Flink job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Engineer

Scotiabank

Toronto, ON • On-site

Full-time

PTO

This job post has expired 1 day ago. Applications are no longer accepted.


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.