Senior Data Engineer

Scotiabank; Toronto; On-site; CAD 120,000 - 160,000; Full time

Benefits offered by this job

Diversity & inclusion programs

Tuition assistance & upskilling

Job summary

Scotiabank is seeking a Senior Data Engineer in Toronto to design, build, and maintain scalable data pipelines and cloud data platforms. The role requires leadership of a team of engineers and collaboration with data architects, solution architects, and product teams to deliver robust data solutions on GCP and Azure.

The ideal candidate has 8+ years in data warehousing, 5+ years in ELT/ETL pipelines, and strong proficiency in SQL, Python, Java, and Scala.

Qualifications

• 8+ years of experience with Data Warehouse / Data Platforms.
• 5+ years building ELT/ETL data pipelines with structured, semi-structured, and unstructured data.
• 5+ years in Azure cloud.
• 5+ years in Databricks Lakehouse.
• Experience with CI/CD and source control (GitHub, Bitbucket, Terraform).
• Strong SQL, Python, Java, and Scala skills.
• Team leadership and stakeholder collaboration experience.
• Excellent communication and problem solving.

Responsibilities

• Design, build, and maintain scalable data pipelines and data platforms.
• Leverage SaaS platforms to automate data workflows and optimize pipelines.
• Partner with product managers to gather requirements and onboard new data sources.
• Implement observability and monitor data quality and performance.
• Lead data engineering initiatives and mentor team members.

Skills

Data warehousing

GCP

Azure

Databricks

ETL/ELT

SQL

Python

Java

Scala

CI/CD

Leadership

Communication

Tools

Databricks

Terraform

GitHub

Bitbucket

Job description

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

We are seeking an experienced Senior Data Engineer with deep expertise in Google Cloud Platform (GCP) to join our growing team. In this role, you will be responsible for designing, building, and maintaining scalable data architectures that support our data-driven initiatives. You will lead a team of engineers, collaborate with cross-functional teams including data architects, solution architects, business systems analysts and data engineers and ensure that our data infrastructure is robust, secure, and optimized for performance.

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

• Design, build, and maintain scalable, resilient data pipelines to support the ingestion, processing, and distribution of large datasets.
• Leverage SaaS platforms and tools to develop, configure, and automate data workflows, improving efficiency across the data engineering lifecycle.
• Partner with stakeholders and product managers to gather requirements, design ingestion patterns, and onboard new data sources into the cloud data platform.
• Implement observability capabilities and continuously optimize application services and pipeline performance.
• Perform data quality validation to ensure accuracy, reliability, and consistency of data assets.

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

• Experience building data pipelines, and composable cloud-based data platforms (Azure)
• Experience working with Lakehouse platforms: Databricks
• Experience with data engineering, programming, ETL and ELT processes for data extraction and processing
• Experience working with structured, semi-structured, and unstructured data.
• Strong programming and scripting skills (SQL, Python, Java, Scala)
• Strong knowledge of cloud infrastructure and microservices architecture
• Experience in creating technical design documentations, both logical and physical view
• Experience collaborating and working with DevOps, Scrum, and Product Teams
• Demonstrated team player with strong communication skills and a track record of successful delivery of product development.
• Solid communication skills – ability to translate complex technical problems to business language
• Experience in leading and driving technical discussions
• Expert at problem solving and debugging
• 8+ years of experience working with Data Warehouse / Data Platforms
• 5+ years of experience creating ELT / ETL data pipelines, working with structured, semistructured, and unstructured data
• 5+ years of experience working on continuous integrations and continuous deployment pipeline (CI/CD) and working with source control systems such as Github, Bitbucket, and Terraform
• Must have 5+ years of experience in Cloud: Azure
• Must have 5+ years of experience in Lakehouse: Databricks

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.

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