Lead data engineer

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.

Your teamWithin the Financial crime and regulatory projects sector, you will be part of the FinCrim Data Warehouse team and report to the Senior Manager - Technology Delivery - Data and Analytics. The team stands out for its expertise in data engineering and its commitment to developing reliable, high-performance and scalable solutions that support the Bank's financial crime activities and regulatory initiatives.
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.

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!

Big Data, Architecture de données, Conversion de données, Modélisation des données, Structures de données, Entrepôt de données, Conception de base de données, Diversité et inclusion, Analyse de l'information, Travail en équipe, Initiative, Agilité d'apprentissage, Résilience, Nettoyage des données, Pipeline de données