ABOUT WELVAART
On a daily basis, we assume commitments and present solutions to our stakeholders in order to create a structure of human values, based on professionalism, honesty and rigor.
With a management based on Human Centered Design, we take care of our professionals with consistent career plans, but flexible with their needs and expectations of evolution. Our management team guarantees an empathetic and present leadership that will provide superior technological engagement and delivery to our clients' projects and products.
Project
Join the Risk Reporting & Analytics team, responsible for delivering and supporting Business Intelligence solutions used by Risk teams. The role will mainly support a strategic platform designed to provide integrated modelling and simulation capabilities across the Group. The consultant will contribute to the design and optimization of data pipelines, data models and analytics solutions, while supporting development teams and promoting best practices in Data Engineering environments.
Role
- Design and develop high-performance ETL/ELT data pipelines
- Implement automation through CI/CD pipelines
- Manage end-to-end deployment of data artifacts across environments
- Design data models, schemas and data architectures
- Transform, optimize and maintain codebases
- Optimize existing code and improve platform performance
- Ensure code quality and support RUN activities
- Support end-users on Dataiku usage and best practices
- Provide technical guidance and coaching to junior team members
- Collaborate with business and technical stakeholders
- Contribute to Agile deliveries and continuous improvement initiatives
We are looking for
- Bachelor's degree in Information Technology, Computer Science, Business Intelligence or a related field
- Proven experience as a Data Engineer
- Strong knowledge of ETL and/or ELT processes
- Proficiency in SQL, Python and/or PySpark
- Experience with CDP or HDP architectures
- Experience designing and implementing data pipelines, data modelling and data architecture
- Experience with CI/CD practices and deployment automation
- Ability to optimize and troubleshoot complex data solutions
- Strong analytical and problem-solving skills
- Excellent communication and stakeholder management skills
Valued
- Dataiku, SAS, Apache NiFi, Agile methodologies, Jira
- Banking industry experience
- Credit Risk knowledge
- Experience with Risk Reporting and Analytics platforms
- Experience with large-scale data transformation initiatives
What you can discover with us?
- Be part of a tech start-up
- Different scopes of project in different sectors
- Structure of fairness and equity salary (Consultant Profile)
- Training & Certification
- Career Path management
- More than 30 Partnerships
- Welvaart Ambassador Program
UNLEASH THE POWER OF YOUR CAREER