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Data Engineering Manager Position

1 week ago

Stockholm, Stockholm, Sweden Rillion AB Full time

We are looking for a skilled Data Engineering Manager to join our team in Stockholm. As a key member of our data organization, you will be responsible for designing, developing, and maintaining our data platforms.

About Rillion

Rillion is a global leader in AP Automation with 30 years of experience. We help finance professionals transform their invoice management processes by digitalizing and automating them.

Our solution eliminates manual steps, enabling finance teams to save time and reduce errors. With our deep understanding of the AP industry, we provide tailored solutions to our customers.

We're on a mission to expand into new territories while growing our presence in existing markets. To achieve this, we need talented individuals like you to join our team.

Rillion values diversity and promotes an inclusive work environment. We welcome candidates from diverse backgrounds and do not discriminate based on protected characteristics.

Data Engineering Manager Position

In this role, you'll lead and grow our data team, driving the development of a modern, scalable data platform. You'll combine technical expertise with hands-on data engineering to ensure our data infrastructure supports business and product goals.

You'll collaborate closely with data engineers, software developers, product managers, and stakeholders to create a data-driven foundation for decision-making and product innovation.

  • Lead and mentor a team of data engineers, fostering a strong engineering culture.
  • Owning the data platform, ensuring scalability, security, and performance.
  • Collaborate across teams, working closely with AI, product, and business teams to enable data-driven insights.
  • Drive architectural decisions for data pipelines, storage, and processing.
  • Ensure high-quality data by implementing best practices in governance, monitoring, and data integrity.

This role requires:

  • Experience leading data engineering or data platform teams in a product-driven company.
  • Hands-on experience with Python, SQL, and cloud-based data stack (Databricks, BigQuery or similar).
  • Proven ability to design and scale data pipelines, ETL processes, and analytics solutions.
  • Strong collaboration and stakeholder management skills.
  • Fluency in English.
  • Experience with BI tools (Power BI), real-time data processing, or MLOps.

We offer:

  • Ownership of our data platform, with opportunities to shape its future.
  • A collaborative and supportive team working on cutting-edge data solutions.
  • A hybrid work model.
  • A dynamic role where your leadership and technical expertise will have a direct impact.