Analytics & Data Engineer: Build AI-Driven Data Pipelines

Protector Forsikring Norge; Oslo fylke; In loco; NOK 900.000 - 1.300.000; Tempo pieno

Descrizione del lavoro

Protector Forsikring Norge is seeking an Analytics and Data Engineer to lead the development of our next-generation data and AI capabilities. This hybrid role focuses on robust data pipelines and interactive data-driven applications that deliver tangible business value.

You will partner with underwriting and analytics teams to design and build automated dbt pipelines and interactive applications using Streamlit, Dash, or Flask, delivering scalable solutions in a practical, user-focused manner.

Competenze

• Strong proficiency in Python and SQL.
• Experience with cloud-based data warehouses, preferably Google BigQuery.
• Experience with modern data transformation tools like dbt or Dataform.
• Experience building data-driven applications using Streamlit, Dash, or Flask.
• Norwegian language skills (an advantage, but not a requirement).
• A background check is required for this role per insurance legislation (IDD).

Mansioni

• Build the Foundation: Continuously develop, optimize, and maintain robust data pipelines and our integration layers (using Google BigQuery, SQL, DBT/Dataform, Python).
• Drive Data Democratization: Shape our platform into a self-service tool that enables standardization, automation, and advanced analytics for the whole team.
• Develop Co-Pilots: Build interactive, data-driven applications and prototypes (using frameworks like Streamlit or Dash) that act as intelligent assistants for business users.
• Champion Culture: Be a vocal advocate for data best practices, teaching, coaching, and writing clean technical documentation.

Conoscenze

Python

SQL

Strumenti

Google BigQuery

dbt

Dataform

Streamlit

Dash

Flask

Descrizione del lavoro

Protector Forsikring Norge is seeking an Analytics and Data Engineer to lead the development of our next-generation data and AI capabilities. This hybrid role focuses on robust data pipelines and interactive data-driven applications that deliver tangible business value.

You will partner with underwriting and analytics teams to design and build automated dbt pipelines and interactive applications using Streamlit, Dash, or Flask, delivering scalable solutions in a practical, user-focused manner.