AI-First Data Engineer: Cloud Pipelines & Semantic Layer

Curamando; Stockholms kommun; Presencial; SEK 650.000 - 950.000; Jornada completa

Descripción de la vacante

Curamando in Stockholm seeks a Data Engineer to design modern cloud data platforms, build cost-efficient pipelines, and model data to support AI-driven insights and activation.

You will own your work, collaborate with clients and Eidra colleagues, and contribute to semantic layers and testing, monitoring and alerting, while staying hands-on with Python and SQL.

The role emphasizes on-site work at our Östermalm office with a focus on reliability and scalability of data foundations.

Formación

• A couple of years’ experience building and running data pipelines and platforms in the cloud.
• Strong understanding of data modelling and core data engineering practices.
• Love to build and care about what you ship.
• Good Python and SQL skills.
• Experience with coding agents and AI-enabled workflows is a plus.

Responsabilidades

• Design and implement modern cloud data platforms.
• Build and run cost-efficient pipelines that bring different sources into warehouses and lakehouses.
• Model data and build semantic layers that AI agents and downstream applications can rely on.
• Automate workflows with orchestration and CI/CD, and manage cloud resources with infrastructure as code.
• Catch data issues early through testing, monitoring and alerting.
• Work AI-first with coding agents, without losing quality or understanding.
• Take ownership of workstreams and contribute to technical discussions with clients and colleagues.

Conocimientos

Python

SQL

Data modelling

Data pipelines

Cloud platforms

CI/CD

Orchestration

Herramientas

CI/CD

Infrastructure as code

Descripción del empleo

Curamando in Stockholm seeks a Data Engineer to design modern cloud data platforms, build cost-efficient pipelines, and model data to support AI-driven insights and activation.

You will own your work, collaborate with clients and Eidra colleagues, and contribute to semantic layers and testing, monitoring and alerting, while staying hands-on with Python and SQL.

The role emphasizes on-site work at our Östermalm office with a focus on reliability and scalability of data foundations.