Data Engineer for Large-Scale AP Automation

3 days ago


Stockholm, Stockholm, Sweden Rillion AB Full time

Rillion AB is a global company founded in Sweden with 30 years' experience in the AP Automation industry. We help finance professionals transform how they manage invoices by digitalizing and automating the entire process.

By removing the manual steps of invoice handling, we enable finance teams to save time and effort, reducing the possibility of human error. Because we're AP professionals ourselves, we understand how to give our customers everything they need, and nothing they don't.

We're on a journey to expand in our home markets, while entering new territories. To complete our mission, we need more talented engineers who can develop and maintain our data infrastructure that drives AI-powered AP automation and provides valuable product insights based on usage data.

The Senior Data Engineer will be pivotal in developing and maintaining our data infrastructure, designing scalable data pipelines within an Azure cloud environment to ingest, process, and store large volumes of usage data, ensuring data quality and integrity.

This role involves 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 is also key.

You'll collaborate with software engineers to integrate AP automation data, deciding between batch or streaming integration methods based on what best fits the use case.

Mentoring junior engineers and fostering a culture of continuous learning are important aspects of this role, as well as working closely with the team to deliver end-to-end solutions that leverage data and AI to drive innovation in AP automation.

We offer a talented team ready to support your career path, social events, a generous pension and insurance package, hybrid working model, and a beautiful office in central Stockholm.

We review applications continuously and invite for interviews. A background check will be conducted on final candidates. If you have any questions regarding the role, please contact us at victoria.stjernstrom@rillion.com

About The Role:

Responsibilities:

  • Design and implement scalable data pipelines within an Azure cloud environment.
  • Improve and maintain a Databricks-based data lakehouse.
  • Establish monitoring systems and data governance practices.
  • Collaborate with software engineers to integrate AP automation data.

What You'll Bring:

  • 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.
  • Event-driven architecture and role-based data access experience.

Bonus Skills:

  • Management/lead experience.
  • Familiarity with BI tools like Power BI, Tableau, or Qlik.
  • Experience with Infrastructure as Code (IaC) tools like Terraform.
  • Contributions to open-source projects.
  • Strong communication and interpersonal skills.


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