CareerPlanSign in
Göteborg, Sweden💼 Full-time🗓 2026-07-10 → 2026-09-25

Core

Build data-driven applications and pipelines to transform complex automotive product information into reliable datasets and APIs for analytics and AI.

Role type

Senior Data Engineer (Software Engineering focus)

Builds

Scalable data pipelines, real-time querying systems, and APIs for product and process performance.

Domain

Automotive / Data Engineering

Deliverable

production ML models | product features | infrastructure

Required skills

Python, Go, SQL, Azure, Kubernetes, Open table formats (Delta, Iceberg, Hudi), Spark, Postgres, DuckDB, Kafka, DevOps practices, test-driven development

Preferred skills

Automotive domain experience, large-scale data processing, building resilient data pipelines

Technologies

Python, Go, Rust, Spark, Postgres, DuckDB, Kafka, Azure, Kubernetes, Databricks, Snowflake, GitHub Actions, FluxCD, Helm, Prometheus, Grafana, Vault

Responsibilities

Design and operate batch pipelines and real-time querying systems; build composable data stacks; develop core capabilities for next-gen product data; ensure low-latency access to massive datasets.

Seniority

Senior, hands-on IC

Sourced via jobtech · Listed on CareerPlan, which tracks 70,000+ jobs from 20+ sources.