Senior Data Engineer

ZipRecruiter; Toronto; Hybrid; CAD 100,000 - 130,000; Full time

Job summary

Join a leading FinTech company as a Senior Data Engineer, where you'll design and maintain enterprise data solutions using Azure technologies. Collaborate with teams to enhance data flow and integration while ensuring data security and compliance. This hybrid role offers competitive benefits and a chance to innovate in the banking sector.

Benefits

Competitive discretionary bonus

Market leading RRSP match program

Medical, dental, vision, life, and benefits

Employee Share Purchase Plan

Generous vacation policy

Annual professional development allowance

Qualifications

• 5+ years of proven experience as a Data Engineer with Azure technologies.
• Hands-on experience with various Azure data services.

Responsibilities

• Design and develop scalable Synapse pipelines for data ingestion and processing.
• Implement and maintain API integrations for seamless data flow.

Skills

T-SQL

Python

Data Modeling

Communication

Organizational Skills

Education

Bachelor's degree in Computer Science or Engineering

Tools

Azure Data Factory

Azure Data Lake

Azure Synapse Analytics

Azure SQL Database

Event Hub

Job description

Job DescriptionJoin a Challenger

Being a traditional bank just isn’t our thing. We are big believers in innovating the banking experience because we believe Canadians deserve better options, and we challenge ourselves and our teams to creatively transform what’s possible in banking. Our team is made up of inquisitive and agile minds that find smarter ways of doing things. If you’re not afraid of taking on big challenges and redefining the future, you belong with us. You’ll get to work with people who will encourage you to reach new heights. We like to keep things fun, ask questions and learn together.

We are a big (and growing!) family. Overall we serve more than 670,000 people across Canada through Equitable Bank, Canada's Challenger Bank, and have been around for more than 50 years. Equitable Bank's wholly-owned subsidiary, Concentra Bank, supports credit unions across Canada that serve more than six million members. Together we have over $125 billion in combined assets under management and administration, with a clear mandate to drive change in Canadian banking to enrich people's lives. Our customers have named our EQ Bank digital platform (eqbank.ca) one of the top banks in Canada on the Forbes World's Best Banks list since 2021.

The work

• The Senior Data Engineer will have the responsibility for the design and maintenance of enterprise data warehouse for various projects, as well as providing on-going support for activities impacting all enterprise databases. The ideal candidate will have hands-on experience with Azure Data Factory, Azure Data Lake, Azure Function App, Logic App, REST APIs, mapping dataflow, and Event Hub. As a key member of our team, you will collaborate with various stakeholders to ensure efficient data flow, storage, and integration, while employing best practices in data engineering

The Core Responsibilities

• Designing and Developing of Data Pipelines (70%)
• Design, develop, and maintain scalable Synapse pipelines for data ingestion, processing, and transformation in Azure data platform
• Develop and optimize T-SQL and Python-based data processing scripts and integrate them with Synapse pipelines for ETL tasks and data transformations
• Design and develop mapping dataflow solutions for complex data transformations
• Develop and maintain data storage solutions, ensuring efficient data retrieval and storage on Azure Data Lake and databases
• Implement and maintain API integrations, including REST APIs, for seamless data flow between systems
• Design and test the end-to-end process for data ingestion, data transformation, data cleansing, data delivery, data quality and data timeliness
• Implement and ensure data security and privacy measures, complying with industry standards and regulations
• Monitor and optimize the performance of Azure data services, Azure Synapse pipelines, Function Apps, and Logic Apps
• Improve the scalability, efficiency, and cost-effectiveness of data pipelines
• Requirements gathering and Technical Documentation (10%)
• Participate in Joint Application Development sessions with business units to gather and understand their data and reporting requirements
• Create and maintain technical documentations for tools, development, and procedures
• Data Strategy and Planning (10%)
• Provide inputs and assist in enablement of Cloud based data solutions.
• Develop and recommend innovative approaches to solve business and technical problems.
• Work and collaborate with the larger team to exchange knowledge, solutions, and practices to build a more consistent, robust approach to development.
• Support and Maintenance of Enterprise Data Warehouse (10%)
• Continuously improve performance and proactively identify and resolve bottlenecks that will reduce time to build and deliver our products
• Troubleshoot and resolve data-related issues in a timely manner

Let's talk about you!!

• Bachelor's degree or equivalent in the field of Computer Science or Engineering
• 5+ years of Proven experience as a Data Engineer, specifically working with Microsoft Azure technologies
• Proficient in T-SQL, Mapping Dataflow and Python programming
• Hands-on experience with Azure data services, including Azure Data Factory, Azure Data Lake, Azure Function App, Azure Logic App, Azure SQL Database, Azure Synapse Analytics, mapping dataflow, and Event Hub
• Solid understanding of data warehousing concepts and best practices
• Experience with Data modeling
• Experience in working with structured, semi-structured and unstructured data
• Excellent written and verbal communication skills
• Excellent multi-tasking and organizational skills

Nice-to-have

• Microsoft Certified: Azure Data Engineer Associate or Azure Solutions Architect Expert
• Experience in DevOps pipelines and CI/CD
• Experience in writing data quality routines for cleansing of data and capturing confidence score
• Project/Program/Portfolio management experience
• Experience working in financial industry
• Experience with Agile and Waterfall SDLC methodologies
• Experience with Atlassian (Confluence and JIRA)
• Knowledge of big data technologies such as Apache Spark

What we offer [For full-time permanent roles]

• Competitive discretionary bonus
• Market leading RRSP match program
• Medical, dental, vision, life, and benefits
• Employee Share Purchase Plan
• Maternity/Parental top-up while you care for your little one
• Generous vacation policy and personal days
• Virtual events to connect with your fellow colleagues
• Annual professional development allowance and a comprehensive Career Development program
• A fulfilling opportunity to join one of the top FinTechs and help create a new kind of banking experience

The incumbent will be working hybrid and in office time will be spent working from Equitable Bank’s additional office space located at 2200-25 Ontario Street, Toronto, ON.

Equitable Bank is deeply committed to . Our organization is stronger and our employees thrive when we honour and celebrate everyone’s diverse experiences and perspectives. In tandem with that commitment, we support and encourage our staff to grow not just in their career path, but personally as well.

We commit to providing a barrier-free recruitment process and work environment for all applicants. Please let us know of any accommodations needed so that you can bring your best self to the application process and beyond. All candidates considered for hire must successfully pass a criminal background check and credit check to qualify for hire. While we appreciate your interest in applying, an Equitable recruiter will only contact leading candidates whose skills and qualifications closely match the requirements of the position.

We can’t wait to get to know you!