AI Data Engineer — Build Scalable Data Platforms & AI Solutions

Etteplan; Göteborgs kommun; On-site; SEK 450,000 - 600,000; Full time

Benefits offered by this job

Wellness allowance

Occupational pension

Flexible working options

Continuous learning opportunities

Competitive benefits package

Job summary

Etteplan in Gothenburg is seeking an AI Data Engineer to design and develop data foundations for critical systems and AI solutions. You will work with customers across various industries, contributing to scalable data models and reliable data pipelines.

The ideal candidate has a degree in Computer Science or Engineering, strong skills in SQL, and experience with AWS. Join a culture of collaboration and continuous learning, with opportunities for growth into leadership roles.

Qualifications

• Degree in Computer Science, Engineering, or equivalent experience.
• Strong experience with SQL and relational data modelling.
• Experience in designing, building, and maintaining data pipelines.
• Experience working with APIs and integrations.
• Experience from at least one cloud environment, preferably AWS.
• Fluent communication skills in both Swedish and English.

Responsibilities

• Designing and maintaining scalable data models.
• Building and maintaining ingestion pipelines, integrations, and data flows.
• Establishing reliable data pipelines, data contracts, and quality controls.
• Improving data quality, traceability, and observability.
• Collaborating with architects, developers, product teams, and customers.

Skills

SQL

Data modeling

API integrations

Cloud environments (AWS)

Agentic AI concepts

Swedish communication

English communication

Education

Degree in Computer Science or Engineering

Tools

PostgreSQL

Python

Node.js / TypeScript

Snowflake

Job description

Etteplan in Gothenburg is seeking an AI Data Engineer to design and develop data foundations for critical systems and AI solutions. You will work with customers across various industries, contributing to scalable data models and reliable data pipelines.

The ideal candidate has a degree in Computer Science or Engineering, strong skills in SQL, and experience with AWS. Join a culture of collaboration and continuous learning, with opportunities for growth into leadership roles.