Data Engineer: Build AI-Ready Cloud Data Pipelines

Trice; Göteborgs kommun; On-site; SEK 700,000 - 950,000; Full time

Job summary

Trice is seeking a Data Engineer to design and maintain cloud-based data pipelines and platforms that enable high-quality data for humans and AI systems. You will deliver end-to-end solutions and help clients access relevant data to gain insights, working with project managers, developers, and architects to raise technical standards.

The role emphasizes deep data exploration, data quality, and staying current with emerging technologies while delivering impact across multiple projects.

Qualifications

• Experience in data engineering and data analytics.
• Experience with modern cloud-based data platforms (data lakehouse, data mesh or similar).
• Solid understanding of batch and streaming data processing.
• Experience with data classification, access control, and information security.
• Familiarity with AI-assisted tools and reviewing code/architecture.
• Experience across multiple cloud platforms and tools (Snowflake, Databricks, dbt) is a plus.

Responsibilities

• Build and maintain cloud-based data pipelines and platforms.
• Deliver end-to-end data solutions for clients and users.
• Collaborate with project managers, developers and architects to shape solutions.

Skills

Data engineering

Data analytics

Cloud platforms

AI tools review

Code review

Tools

Snowflake

Databricks

dbt

AWS

GCP

Azure

Job description

Trice is seeking a Data Engineer to design and maintain cloud-based data pipelines and platforms that enable high-quality data for humans and AI systems. You will deliver end-to-end solutions and help clients access relevant data to gain insights, working with project managers, developers, and architects to raise technical standards.

The role emphasizes deep data exploration, data quality, and staying current with emerging technologies while delivering impact across multiple projects.