Senior Data Engineer

Scotiabank; Toronto; Hybrid; CAD 130,000 - 170,000; Full time

Job summary

Join a leading bank as a Senior Data Engineer in Toronto. You will design and maintain scalable data architectures, leading a team and collaborating with cross-functional teams for data-driven initiatives. This role offers competitive benefits, an inclusive culture, and opportunities for growth.

Benefits

Diversity and Inclusion initiatives

Upskilling opportunities

Competitive Rewards program

Flexible vacation and personal days

Community engagement programs

Qualifications

• 10+ years of experience building Data Warehouse/Data Platforms.
• 5+ years in creating ELT/ETL data pipelines.
• Experience with Cloud: GCP or Azure.

Responsibilities

• Design, develop, and maintain robust data pipelines.
• Collaborate with stakeholders to analyze data requirements.
• Conduct data quality checks.

Skills

Data Engineering

Data Modeling

Problem Solving

Collaboration

Scripting

Communication

Education

Bachelor's degree in Computer Science or related field

Tools

Google Cloud Platform

Fivetran

Qlik Replicate

BigQuery

Databricks

Job description

Join to apply for the Senior Data Engineer role at Scotiabank

Join to apply for the Senior Data Engineer role at Scotiabank

Requisition ID: 226658

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, develop and maintain robust data pipelines for data ingestion and distribution of large datasets for processing and consuming.
• Utilize SaaS services and tools to build, configure and automate data workflows and streamline the data engineering process.
• Collaborate with stakeholders and product managers to analyze data requirements, design, and build ingestion patterns to bring in new data sources to the data platform.
• Build and monitor application services and pipeline performance.
• Conduct data quality checks.
• Experience building data pipelines, and composable cloud-based data platforms in Google Cloud Provider (GCP).
• Experience configuring and using data ingestion tools such as Fivetran, and Qlik Replicate
• Have prior experience with data engineering, programming, ETL, ELT, processes for data integration and ingestion.
• Experience in data modelling, manipulating large data sets and handling raw data, and other cleaning techniques.
• Experience working with structured, semi-structured, and unstructured data.
• Experience collaborating and working with DevOps and Scrum Teams
• Demonstrated team player with strong communication skills and a track record of successful delivery of product development.
• Expert at problem solving.
• Strong scripting skills (SQL, Python)
• Strong knowledge of cloud infrastructure
  
  

Skills

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

• 10+ years of experience building Data Warehouse / Data Platforms
• 5+ years of experience creating ELT / ETL data pipelines from scratch, working with structured, semi-structured, and unstructured data
• 5+ years of experience configuring and using data ingestion/ replication tools such as Fivetran, or Qlik
• 3+ years of experience with Cloud: GCP or Azure
  
  

3+ years of experience with BigQuery, or Azure Synapse, and Databricks

• 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
  
  

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 such as hackathons, contests, cooking with friends, Humans of Digital and much more!
  
  

Working location condition: Hybrid

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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Banking

Referrals increase your chances of interviewing at Scotiabank by 2x

Get notified about new Senior Data Engineer jobs in Toronto, Ontario, Canada.

Greater Toronto Area, Canada 16 hours ago

Senior Software Engineer - User Generated Experiences

Toronto, Ontario, Canada CA$130,000.00-CA$170,000.00 12 hours ago

Senior Software Engineer, Business Process & Automation

Senior Staff Data Engineer - AI Solutions

Senior Software Engineer (Identity Decisioning)

Senior Analyst, Data and Application Support

Senior Data Analyst (contract or temporary assignment)

Dynamics 365 Customer Insights – Data Architect in toronto,ON_hybrid Longterm contarct

Senior Data Analyst (contract or temporary assignment)

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.