Data Engineer: Cloud Pipelines & AI Solutions

Agoya; Oudenaarde; Hybride; EUR 70 000 - 100 000; Plein temps

Avantages offerts par ce poste

Meal vouchers

Premium hospitalisation insurance

Company car or mobility budget

Résumé du poste

Agoya is seeking a Data Engineer to join our hybrid HQ team in Belgium. You will design and operate data pipelines, models, and data products across client projects, with emphasis on reliability, observability, and security.

You will collaborate with data and AI engineers, analysts, and data scientists to turn business needs into scalable data solutions, applying best-practice DevOps and cloud-native patterns.

Qualifications

• 3+ years of experience in data engineering, platform engineering, DevOps, SRE, or related fields.
• Strong SQL and production-grade Python skills, incl. testing, packaging, and code review.
• Hands-on experience with cloud data platforms, ideally GCP and BigQuery, plus Dataflow, Composer, Dataproc, Cloud Run, or GKE.
• Experience with infrastructure as code (Terraform) and with Docker, CI/CD, and Git collaboration.
• Solid understanding of data modeling, orchestration, data quality, observability, and operational reliability.
• Proven ownership across design, build, deployment, monitoring, and continuous improvement.
• Clear, proactive communication with technical and non-technical stakeholders.
• English is required, plus Dutch or French.

Responsabilités

• Build and operate batch and streaming pipelines for ingestion, transformation, and orchestration.
• Design data models for analytics and ML use cases, with appropriate partitioning, clustering, and lifecycle management.
• Implement data quality, observability, alerting, and SLOs for critical pipelines and services.
• Manage orchestration, dependencies, retries, backfills, and SLAs using tools such as Airflow, Cloud Composer, or Dagster.
• Build cloud infrastructure as code and CI/CD pipelines for safe, repeatable deployments.
• Deploy and operate containerized workloads on GCP or Azure while maintaining clear development, staging, and production environments.
• Apply least-privilege security, secure networking, and sound secrets management.
• Monitor and optimize cloud, warehouse storage, and compute costs.
• Translate business needs into reliable data products and create reusable patterns that help teams work independently.
• Review code, document designs, share knowledge, and communicate trade-offs clearly across clients and domains.

Connaissances

SQL

Python

Communication

Ownership

Pragmatic engineering

Outils

GCP & BigQuery

Airflow / Dagster

Terraform

Docker

CI/CD

Git

Kubernetes

Description du poste

Agoya is seeking a Data Engineer to join our hybrid HQ team in Belgium. You will design and operate data pipelines, models, and data products across client projects, with emphasis on reliability, observability, and security.

You will collaborate with data and AI engineers, analysts, and data scientists to turn business needs into scalable data solutions, applying best-practice DevOps and cloud-native patterns.