Data Engineer

Solna, Sweden💼 Full-time🗓 2026-06-18 → 2026-10-02

Core

Build and maintain data pipelines and cloud platforms to support a Recommendation Engine for personalized retail customer services.

Role type

Data Engineer (ML pipelines & Cloud Platform)

Builds

Scalable data pipelines, ETL flows, and cloud infrastructure for ML models serving retail customers.

Domain

Retail / Machine Learning / Cloud Infrastructure

Deliverable

production ML models

Required skills

Python, SQL, DBT, Google Cloud Platform, ETL, data pipeline development, ML model deployment, data analysis

Preferred skills

Software engineering, marketing/CRM in retail

Technologies

Python, SQL, DBT, Google Cloud Platform

Responsibilities

Build, maintain, and evolve data pipelines for ML solutions; work with ETL flows and data transformation for large datasets; improve and manage cloud platform stability; productionize and scale ML model solutions; collaborate with business stakeholders to translate needs into technical solutions; work in agile teams with DevOps mindset. (via careerplan.io/jobs/31191881-data-engineer-at-avaron-ab)

Seniority

Mid-level, hands-on IC

About Avaron AB

At Avaron, you get the security of permanent employment combined with the variety of working at different customers. We place specialists across everything from tech, IT and industry to project management and business support – and whatever the assignment, you have a consultant manager who is there for you and your development. About the Role You will step into a central role where marketing strategy, content, data, and campaign execution come together. The assignment is with a global company in the food and packaging space, where you will support local markets in building and optimizing B2B c