Analytics and Data Engineer

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

• Sektor Privat

Lead the development of next-generation data and AI capabilities, building robust data pipelines and interactive data-driven applications.

• 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

Analytics and Data Engineer

Who are we looking for?

Protector Forsikring is seeking a talented and entrepreneurial engineer to lead the development of our next-generation data and AI capabilities. This is a unique hybrid role for a professional who is passionate about both building robust, scalable data systems and creating practical, user-facing analytical applications

This position is ideal for a self-starter who actively leverages AI-assisted development tools (Claude in VS Code and GitHub Copilot) to multiply their own coding productivity, allowing them to focus on architecture, business logic, and rapid prototyping. Your mission will be to work collaboratively with our underwriting and analytics teams to proactively discover, design, and build solutions—from automated dbt pipelines to interactive data-driven applications that deliver tangible business value.

Who are you?

Curious & Proactive: You thrive in an environment that gives you the freedom to take ownership, explore new ideas, and deliver results.

An Approachable Communicator: You possess strong interpersonal skills, with the ability to translate complex technical concepts into clear, concise ideas for non-technical colleagues.

A Pragmatic Builder: You love high-quality, functional code, but you are always driven by solving real-world business problems.

Structured: You are quality-conscious and design robust solutions based on best practices.

What will your role include?

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.

We are looking for someone who has:

Strong proficiency in Python and SQL is essential.

Solid experience with cloud-based data warehouses, with a strong preference for Google BigQuery

Hands-on experience with modern data transformation and modeling tools, specifically dbt or Dataform.

Experience with, or a strong interest in, AI-assisted coding (such as Claude in VS Code) to accelerate your own workflow.

Demonstrated experience building data-driven applications, scripts, or interactive dashboards (e.g., using Streamlit, Dash, Flask, or similar frameworks). A strong portfolio of personal projects is a huge plus.

Norwegian language skills (an advantage, but not a requirement)

Our Performance Culture and Values

Our values –Credible, Innovative/Open, Bold, and Committed – are the foundation of everything we do. We stand by our performance-driven culture and efficient structure, which features little bureaucracy and fast decision-making. This empowers our employees to adapt quickly and achieve more. With us, you will find a dynamic mix of experienced professionals and fresh talent, fostering an inspiring and forward-thinking work environment. We are committed to protecting lives and assets, reducing financial risk for our customers, and upholding our social responsibilities regarding human rights, labor standards, the environment, and anti-corruption.

We believe a builder's mindset and a strong technical foundation are key. If you are excited by the prospect of working across the full stack of data—from warehousing to AI-powered applications,we would love to hear from you. Please don't hesitate to reach out if you have any questions about the position

A background check is required for this role in accordance with insurance legislation (IDD).

A Norwgian work permit is a prerequisite for working with us.

• Development of data pipelines
• Google BigQuery
• Python (dataprogrammering)
• SQL