A career as a Senior Developer in ESG Data Engineering on the IT-Finance Delivery team – Regulatory Reporting and Internal Audit at National Bank means directly contributing to the implementation, support and evolution of the ESG data ecosystem (environment, social, governance). This job allows you to have a concrete impact thanks to your expertise in data engineering and data valorisation and stand out for your ability to implement best practises in data flow design and development.
Your job
- Design, consolidate, develop and maintain multiple data ingestion flows to different data environments, in collaboration with the teams responsible for technology solutions
- Define and document the data models required for ingestions
- Help integrate external technological solutions with the Bank's ecosystem and act as a point of contact with external teams
- Optimize data processing to improve the performance, reliability and efficiency of solutions.
- Maintain and develop the ESG data ecosystem and the integrations implemented.
- Support data owners in applying best practises and managing their data optimally.
- Implement control, governance and data quality mechanisms to ensure data integrity.
Your team
It and Information Security has more than 3650 specialists who work agile, proactively and collaboratively to seize opportunities, stay on the cutting edge of technology and continuously improve processes.
You will join 6 colleagues from analysts and developers on the it-Finance team and report to the Asset Management Manager. Our team stands out for its client-centric commitment, spirit of collaboration and desire for continuous improvement, including new technologies.
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
- Relevant training in data engineering and 5 to 10 years of experience in data development, data engineering or data modelling
- Advanced knowledge of SQL and experience with distributed systems and cloud platforms (AWS, Azure, snowflake)
- Experience in data flow design and development and data valorisation
- Experience in DataVault modelling
- Organisational skills, innovation, discipline and attention to detail.
