Data Engineer: AI-Driven Data Platform, Hybrid Work

eBerry by Strawberry; Stockholms kommun; Hybrid; SEK 700,000 - 1,000,000; Full time

Benefits offered by this job

Hybrid work model

Stockholm HQ

Hotel and dining discounts

Job summary

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

You’ll work with the modern data stack—Snowflake, dbt, Airflow and Python—to transform raw data into trusted, high-quality data products and enable AI initiatives across the business. This role offers hybrid work with 3 days at our Stockholm HQ and 2 days remote, with local

Qualifications

• 5+ years of hands-on experience in Data Engineering, BI or Data Architecture.
• Strong proficiency in SQL and Snowflake; experience with dbt and Airflow.
• Python scripting for data manipulation and automation.
• Experience with cloud environments (Azure, AWS or GCP) and CI/CD practices.
• Ability to collaborate with product teams and stakeholders in English.

Responsibilities

• Build, maintain, and optimize core datasets, transformations and pipelines.
• Partner with Data Product Teams to deliver tailored datasets and insights.
• Design scalable data models in Snowflake and manage dbt transformations.
• Develop and orchestrate ELT workflows with Airflow.
• Drive AI and innovation by enabling analytics and data products.
• Code in Python to automate pipelines and integrate sources.
• Ensure data quality, monitoring, and documentation.

Skills

SQL

Snowflake

dbt

Airflow

Python

English communication

Education

BSc/BA in CS, Engineering or related field

Tools

Git

CI/CD

Job description

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

You’ll work with the modern data stack—Snowflake, dbt, Airflow and Python—to transform raw data into trusted, high-quality data products and enable AI initiatives across the business. This role offers hybrid work with 3 days at our Stockholm HQ and 2 days remote, with local