Lead Data engineer

EQ Bank; Toronto; Hybrid; CAD 100,000 - 130,000; Full time

Job summary

EQ Bank is seeking a Lead Data Engineer for its Digital Banking platform in Toronto. This role focuses on designing and maintaining data solutions, leading a team, and ensuring data integration using Microsoft Fabric and Azure tools. Join a growing team dedicated to innovative banking solutions.

Benefits

Competitive discretionary bonus

Market leading RRSP match program

Medical, dental, vision, life and disability benefits

Employee Share Purchase Plan

Generous vacation policy and personal days

Annual professional development allowance

Qualifications

• 7 years of experience as a Data Engineer with Microsoft Fabric & Azure.
• Proficiency in T-SQL, Python, and Spark programming.
• Solid understanding of data storage architecture with lakehouse and data warehouses.

Responsibilities

• Oversee design and maintenance of Digital Banking data platform.
• Develop scalable data pipelines for data ingestion and integration.
• Lead and mentor a team of data engineers in best practices.

Skills

Data Engineering

T-SQL

Python

Spark

Microsoft Fabric

Azure

Education

Bachelor's degree in Computer Science or Engineering

Tools

Apache Hive

Hadoop

AWS

NoSQL

Kafka

Job description

Being a traditional bank just isnt 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 whats possible in banking. Our team is made up of inquisitive and agile minds that find smarter ways of doing things. If youre not afraid of taking on big challenges and redefining the future you belong with us. Youll 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 670000 people acrossCanadathrough Equitable BankCanadasChallenger Bank and have been around for more than 50 years. Equitable Banks whollyowned subsidiary Concentra Bank supports credit unions acrossCanadathat serve more than six million members. Together we have over$125 billionin combined assets under management and administration with a clear mandate to drive change in Canadian banking to enrich peoples lives. Our customers have named our EQ Bank digital platform ( ) one of the top banks in Canada on the Forbes Worlds Best Banks list since 2021.

Purpose of Job

The Lead Data Engineer Digital Banking will be responsible for overseeing the design development and maintenance of our Digital Banking data platform. The role requires providing technical leadership to a team of data engineers collaborating with stakeholders and ensuring the efficient flow storage and integration of data within EQBs Digital Bank.

The ideal candidate will possess extensive knowledge of system architecture particularly Microsoft Fabric and Azure tools and have proven experience in implementing medallion architecture. Additionally they should be wellversed in best practices in data engineering to ensure scalability and governance driving innovation and efficiency in data solutions.

The ideal candidate will possess extensive knowledge of system architecture particularly Microsoft Fabric and Azure tools and have proven experience in implementing medallion architecture. Additionally they should be wellversed in best practices in data engineering to ensure scalability and governance driving innovation and efficiency in data solutions.

• You are a subject matter expert in the field of Data Engineering and a champion of the Digital Banks data strategy
• Develop and recommend innovative approaches to solve business and technical problems.
• Engage and align crossfunctional stakeholders and teams to deliver data solutions.
• Manage project timelines to ensure timely delivery of data solutions.
• Lead and mentor a team of data engineers in implementing best practices of the field and supporting their professional growth.
• Promote a collaborative environment that encourages knowledge sharing and innovation.

Design Develop and Maintain Data solutions

• You leverage your engineering expertise and align to the values of building quality products and risk management to create value from data
• Design develop and maintain scalable data pipelines (batch and realtime) for data ingestion processing and integration.
• Develop and maintain data storage solutions ensuring efficient data retrieval and storage in data Lakehouse and Warehouses.
• Implement and maintain API integrations including REST APIs for seamless data flow between systems.
• Implement and ensure data security and privacy measures complying with industry standards and regulations.
• Monitor and optimize the performance of systems and pipelines.
• Improve the scalability efficiency and costeffectiveness of data solutions.
• Troubleshoot and resolve datarelated issues in a timely manner.

Lets talk about you!

• Bachelors degree or equivalent in the field of Computer Science or Engineering.
• 7 years of proven experience as a Data Engineer specifically working with Microsoft Fabric & Azure technologies.
• Highly proficient in TSQL Python and Spark programming language.
• Solid understanding of data storage architecture with lakehouse and data warehouses concepts and best practices.
• Solid understanding of information architecture with medallion design concepts and best practices.
• Experience working with structured semistructured and unstructured data.
• Experience working with high and low latency data movement (batch and realtime data).
• Excellent written and verbal communication skills.
• Excellent multitasking and organizational skills.

Your nicetohave skills!

• Microsoft Certified : Azure / Fabric Data Engineer Associate or Azure / Fabric Solutions Architect Expert.
• Experience in implementing DevOps pipelines and CI / CD for data solutions.
• Experience in writing data quality and governance tests for management of data.
• Experience working in the financial industry.

What we offer For fulltime permanent roles

Competitive discretionary bonus

Market leading RRSP match program

Medical dental vision life and disability benefits

Employee Share Purchase Plan

Maternity / Parental topup 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 Banks additional office space located at 220025 Ontario Street Toronto ON .

Equitable Bank is deeply committed to inclusion. Our organization is stronger and our employees thrive when we honour and celebrate everyones 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 barrierfree 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 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 cant wait to get to know you!

Key Skills

Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

Employment Type : Full-Time

Experience : years

Vacancy : 1

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Lead Data Engineer • Toronto, Ontario, Canada