Data Engineer - AI-Driven Data Platform (Remote)

Bookboost AB; Malmö kommun; Hybrid; SEK 700,000 - 1,100,000; Full time

Benefits offered by this job

Remote work

Flexible schedule

Hybrid hubs

Job summary

Bookboost AB is seeking a Data Engineer to design and build scalable data infrastructure that handles hundreds of gigabytes to terabytes of guest data. You will move, transform, and make data available to our frontend, ML pipelines, and analytics platforms.

You will own data pipelines, orchestration, and tooling, collaborating closely with product and engineering teams to shape the data foundation of our product. Remote-friendly with hubs in multiple cities.

Qualifications

• Data engineering depth: 4+ years of industry experience with production systems you have owned.
• Programming and processing: strong engineering skills, ideally with distributed data processing (AWS, PySpark).
• Scale: strong quantitative skills and experience estimating performance at high scale.
• Cloud and infrastructure: familiarity with cloud-based data services (AWS, RDS), containerised infrastructure (ECS, Docker), and data movement (batch, CDC, streamed and batch transformations).
• AI fluency: AI-native stack; using AI tools for code, docs and pipeline logic; building data infra powering ML/AI features.
• Ownership: self-motivated with strong ownership over systems and designs.

Responsibilities

• Scalable data pipelines and infrastructure designed and built with Product and Engineering.
• Data pipelines for ingestion, transformation and storage at high scale, deployed end to end.
• Tools and abstractions on top of the data infrastructure for analytics and ML.
• Data orchestration and streaming pipelines.
• Reusable data resources and design patterns in collaboration with product teams.

Skills

Data engineering

PySpark

AWS

Cloud infra

Ownership

Tools

Docker

AWS ECS

RDS

Job description

Bookboost AB is seeking a Data Engineer to design and build scalable data infrastructure that handles hundreds of gigabytes to terabytes of guest data. You will move, transform, and make data available to our frontend, ML pipelines, and analytics platforms.

You will own data pipelines, orchestration, and tooling, collaborating closely with product and engineering teams to shape the data foundation of our product. Remote-friendly with hubs in multiple cities.