Help design, build and continuously improve the clients online platform.
Research, suggest and implement new technology solutions following best practices/standards.
Take responsibility for the resiliency and availability of different products.
Be a productive member of the team.

Requirements

Data Engineer with strong expertise in Databricks and Treasury Data Lake to design and develop scalable data pipelines, transform data across multi-layer architectures, and ensure high-quality, reliable datasets for downstream consumers.
Design, build, and maintain scalable ingestion pipelines from multiple Treasury and enterprise source systems, ensuring secure and efficient data movement into the data lake.
Transform and process data across Bronze, Silver, and Gold layers, applying best practices for data modeling, cleansing, and enrichment.
Implement automated data quality checks, validation, monitoring, and alerting to ensure data accuracy, integrity, and reliability.
Ensure the continuous availability and trustworthiness of datasets supporting downstream analytics, reporting, and Treasury operations.
Continuously optimize pipeline performance, scalability, and cost efficiency across Databricks and cloud-native components.
Hands-on knowledge and practical experience with AI technologies is mandatory.

Benefits

A challenging, innovating environment.
Opportunities for learning where needed.

Compétences requises

DatabricksTreasury Data Lake domain knowledgeScalable data pipeline developmentData ingestion from multiple enterprise and Treasury source systemsMedallion architecture (Bronze/Silver/Gold) data transformationData quality, validation, monitoring and alertingData availability, resiliency and reliability engineeringPerformance optimization and cost-efficient design for Databricks and cloud-native componentsHands-on AI technologies and practical AI implementationData modeling, cleansing and enrichmentSecure data movement and data security practicesTechnology evaluation and implementation following best practices and standardsTeam collaboration and being a productive team member

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