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Data Engineer for Scalable Infrastructure
6 hours ago
Rillion is seeking a skilled Senior Data Engineer to join our innovative data team. In this pivotal role, you'll develop and maintain our data infrastructure that drives AI-powered AP automation and provide valuable product insights based on usage data.
About the Role- Designing and implementing scalable data pipelines within an Azure cloud environment to ingest, process, and store large volumes of usage data, ensuring data quality and integrity.
- Improving and maintaining a Databricks-based data lakehouse, creating efficient data models tailored for AI and analytics needs.
- Establishing monitoring systems and data governance practices to ensure performance and compliance.
- Collaborating with software engineers to integrate AP automation data, with the mandate to decide between batch or streaming integration methods, based on what best fits the use case.
As a Senior Data Engineer at Rillion, you'll be responsible for mentoring junior engineers and fostering a culture of continuous learning, while working closely with the team to deliver end-to-end solutions that leverage data and AI to drive innovation in AP automation.
Requirements:
- 5 years of experience in the data engineering field
- Proficiency in SQL and Python
- Cloud experience, preferably with Azure
- Experience with orchestration tools such as Apache Airflow or Azure Data Factory
- Experience with data warehousing solutions, preferably Databricks
- Experience of event-driven architecture and role-based data access
Benefits:
- Opportunity to work in a dynamic growth company
- Talented colleagues ready to support the success in your career path
- Social events with your colleagues
- A collection of different benefits, including a generous pension and insurance package
- Hybrid working model, 2 days per week in the office
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