Lead Data Engineer
- Montreal, QC, Canada
Full-time
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Job details
- Job type
- Full-time
- Apply by
- Experience
- A bachelor’s or master’s degree in a related field and 3 to 5 years of relevant experience
- Posting language
- English
- Posted
Original job description
A career as a Senior Developer in Data Engineering on the Financial crime and regulatory projects team at National Bank means serving as a Data Analytics Specialist. This position allows you to have a positive impact on our organisation thanks to your expertise in engineering, design, modelling, integration and data governance. You will help modernise our platforms, enhance our information assets and advance the sector's analytical and operational capabilities.
Your job
- Define and develop solutions and data models that meet the sector's analytical needs.
- Design, develop and maintain robust and high-performance data pipelines, in batch or real-time processing with Kafka, in cloud environments.
- Integrate and automate data between systems and business applications, then optimise processing with SQL and Python.
- Implement governance, control, quality and security mechanisms to ensure data integrity and confidentiality.
- Influence the evolution of data strategy, platforms and infrastructures, while promoting the adoption of recognised engineering and automation practises.
You will work in a stimulating technological environment where collaboration and continuous improvement help transform business needs into concrete data solutions. Our goal is to offer you maximum flexibility to promote your quality of life. This includes a hybrid work environment and a flexible, adaptable schedule.
The Bank values continuous development and internal mobility. Our personalised training programs, based on on on-the-job learning, help you master your profession and develop new fields of expertise. Tools such as the Data Academy, language training, the Harvard Learning Centre and coaching and mentoring support are available to you at any time.
Prerequisites
- A bachelor’s or master’s degree in a related field and 3 to 5 years of relevant experience
- Expertise in data engineering, particularly data design and modelling using data vault and dimensional approaches.
- Experience in designing, developing and operating large-scale data solutions in distributed and cloud environments.
- Proficient SQL and Python as well as data processing optimisation practises.
- Knowledge of Amazon Web Services, Snowflake, Terraform and collaborative development tools, as well as DevOps practises, automation, automated testing and continuous integration and deployment pipelines, an asset.
- Understand issues related to data quality, governance, security and valuation.
Reason to require this language: you will need to discuss frequently with our service providers or partners who speak a language other than French.
Required skills: Big Data, Data Architecture, Data Cleansing, Data Conversion, Data Modeling, Data pipeline, Data Structures, Data Warehousing, Database Design, Diversity & Inclusion, Information Analysis, Initiative, Learning Agility, Resiliency, Teamwork
Your benefits
In addition to competitive compensation, upon hiring you’ll be eligible for a wide range of flexible benefits to help promote your wellbeing and that of your family such as:
* Health and wellness program, including many options
* Flexible group insurance
* Generous pension plan
* Employee Share Ownership Plan
* Employee and family assistance program
* Preferential banking services
* Involvement in community initiatives
* Telemedicine service
* Virtual sleep clinic
We have an offer that keeps up with trends as well as your needs and those of your family.
Our dynamic work environments and cutting-edge collaboration tools foster a positive employee experience. We value employees’ ideas. Whether through our surveys or programs, regular feedback and ongoing communication are encouraged.
Making a bold move in a people-first environment
We’re a bank on a human scale that stands out for its courage, entrepreneurial culture, and passion for people. Our mission is to have a positive impact on people’s lives. Our core values of partnership, agility, and empowerment inspire us, and inclusion is central to our commitments. We aim, wherever possible, to provide a barrier-free and accessible environment to all employees.
We strive to provide accessibility measures throughout the recruitment process within the limits of our available resources. If you require accommodations, feel free to let us know during our initial conversations. We welcome all candidates! What can you bring to our team?
Join us!
More about this job
Responsibilities
Design and develop data solutions and models, and build and maintain high-performance batch and real-time pipelines in cloud environments. Integrate and optimize data processing, implement governance, quality, control, and security measures, and contribute to the evolution of data platforms and engineering practices.
Requirements
A bachelor's or master's degree in a related field and 3 to 5 years of relevant experience are required. Candidates should have data engineering expertise, including data vault and dimensional modeling, large-scale distributed and cloud solutions, and strong SQL and Python skills; AWS, Snowflake, Terraform, and DevOps experience are assets.
Skills
- Big Data
- Data Architecture
- Data Cleansing
- Data Conversion
- Data Modeling
- Data Pipelines
- Data Structures
- Data Warehousing
- Database Design
- SQL
- Python
- Kafka
- Data Governance
- Data Quality
- AWS
- Snowflake
Benefits
- Health and Wellness Program
- Flexible Group Insurance
- Pension Plan
- Employee Share Ownership Plan
- Employee and Family Assistance Program
- Preferential Banking Services
- Community Initiatives
- Telemedicine Service
- Virtual Sleep Clinic
- Flexible Schedule
- Hybrid Work Environment
- Training and Development
- Coaching and Mentoring
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
- Finance & Accounting
Keywords
- Data Engineering
- Data Analytics
- Data Architecture
- Data Modeling
- Data Vault
- Dimensional Modeling
- Data Pipelines
- Batch Processing
- Real-Time Processing
- Kafka
- Cloud Computing
- SQL
- Python
- Amazon Web Services
- Snowflake
- Terraform
- DevOps
- Automation
- Automated Testing
- Continuous Integration
- Continuous Deployment
- Data Governance
- Data Quality
- Data Security
- Data Warehousing
- Distributed Systems
- Financial Crime
- Regulatory Projects
- Data Integration