Senior Data Engineer – Scalable ML Data Pipelines

Xebia; Sweden; Hybrid; SEK 700,000 - 950,000; Full time

Benefits offered by this job

Hybrid work

Job summary

Xebia is seeking an experienced Data Engineer to join our data platforms powering analytics, ML pipelines, and data-driven solutions. You will build and operate large-scale ETL/ELT pipelines, ensuring reliable data delivery and quality for production models.

The role emphasizes ownership, reliability, and collaboration with Data Scientists and Analysts, with hybrid Stockholm or fully remote options and exposure to modern data tooling such as Airflow, GCP, and Kubernetes.

Qualifications

• Hands-on data engineering with large-scale ETL/ELT pipelines.
• Proficient in Python, SQL and Spark for data processing.
• Experience using Airflow for orchestration and data workflows.

Responsibilities

• Own and operate existing data pipelines powering ML systems.
• Ensure billions of daily events flow reliably through ingestion and processing.
• Support Data Scientists and Analysts by providing reliable production data.
• Take over in-flight initiatives and maintain momentum on platform improvements.
• Troubleshoot data issues and maintain SLA compliance.
• Maintain documentation and runbooks for knowledge transfer.

Skills

Python

SQL

Spark

Tools

Airflow

Kubernetes

Git

CI/CD

Job description

Xebia is seeking an experienced Data Engineer to join our data platforms powering analytics, ML pipelines, and data-driven solutions. You will build and operate large-scale ETL/ELT pipelines, ensuring reliable data delivery and quality for production models.

The role emphasizes ownership, reliability, and collaboration with Data Scientists and Analysts, with hybrid Stockholm or fully remote options and exposure to modern data tooling such as Airflow, GCP, and Kubernetes.