Hybrid Data Engineer for AI-Driven Platform

Strawberry Services AB; Stockholms kommun; Hybrid; SEK 700,000 - 1,000,000; Full time

Benefits offered by this job

Deep discounts on hotel stays and more

Hybrid work model

Stockholm HQ in-office presence

Job summary

Strawberry is seeking an experienced Data Engineer to join our central Tech BI team in Stockholm. You will build scalable datasets and data models powering business decisions, digital products and AI solutions.

We value clean architecture, the modern data stack, and collaboration with Data Product Teams to deliver trusted, high-quality data products. Hybrid work includes three days at our Stockholm HQ and two days remote.

Qualifications

• Strong knowledge of SQL and Python for data engineering tasks.
• Experience building data pipelines and data models.
• Able to collaborate with product and data teams.
• Familiarity with modern data stack and data governance concepts.

Responsibilities

• Build and maintain core datasets, transformations and pipelines in Snowflake.
• Collaborate with Data Product Teams to deliver tailored datasets and insights.
• Design scalable data models and ELT workflows using dbt and Airflow.
• Ensure data quality, documentation, and governance across the data platform.

Skills

SQL

Python

English communication

Education

BSc/BA in Computer Science, Engineering, or related quantitative field

Tools

Snowflake

dbt

Airflow

Git

Job description

Strawberry is seeking an experienced Data Engineer to join our central Tech BI team in Stockholm. You will build scalable datasets and data models powering business decisions, digital products and AI solutions.

We value clean architecture, the modern data stack, and collaboration with Data Product Teams to deliver trusted, high-quality data products. Hybrid work includes three days at our Stockholm HQ and two days remote.