Senior Data Engineer, AI & Data Platforms (Remote)

JYSK; Denmark; Ibrido; DKK 900.000 - 1.200.000; Tempo pieno

Vantaggi offerti da questo lavoro

Flexible work-from-home policy

Training and onboarding program

Staff discounts across Lars Larsen

Descrizione del lavoro

JYSK is seeking a Senior Data Engineer to join our AI Engineering team and help shape data foundations for scalable AI solutions in an international retail environment. You will design, build, and maintain data pipelines, data products, and analytics capabilities that power customer experiences, sales insights, and operational efficiency.

Working with AI Architects and Platform Engineers, you will ensure data quality, governance, and secure, compliant data practices on Google Cloud Platform

Competenze

• Degree in Computer Science, Software Engineering, Mathematics, Physics, or related field.
• 5+ years of industry experience in data engineering.
• Experience with DataOps and dbt/Dataform.
• Production-scale data solutions on cloud platforms (GCP/AWS/Azure).
• Independent with stakeholders and MVP-minded.

Mansioni

• Design, build, deploy, and maintain scalable data products and pipelines.
• Create scalable data transformations and integrate with existing systems.
• Process structured, semi-structured, and unstructured data for AI workloads.
• Implement data quality monitoring, validation, and alerting.

Conoscenze

Data pipelines

GCP

DataOps

Python

MLOps

Data governance

Formazione

Bachelor's degree in CS/SE/Math/Physics

Strumenti

dbt

Dataform

Airflow

BigQuery

Descrizione del lavoro

JYSK is seeking a Senior Data Engineer to join our AI Engineering team and help shape data foundations for scalable AI solutions in an international retail environment. You will design, build, and maintain data pipelines, data products, and analytics capabilities that power customer experiences, sales insights, and operational efficiency.

Working with AI Architects and Platform Engineers, you will ensure data quality, governance, and secure, compliant data practices on Google Cloud Platform