Data Engineer: Build scalable data pipelines (Hybrid)

Agoya; Oudenaarde; Hybrid; EUR 65,000 - 90,000; Full time

Benefits offered by this job

Meal vouchers

Premium hospitalisation insurance

Company car or mobility budget

Job summary

Agoya is a data and AI agency in Belgium seeking a Data Engineer to join its HQ team. You will build batch and streaming pipelines, design analytics data models, and implement robust data quality and observability across cloud environments.

You will collaborate with data engineers, AI engineers, analysts, and data scientists to deliver reliable data products and reusable patterns, shaping how Agoya works across projects.

Qualifications

• 3+ years of experience in data engineering, platform engineering, DevOps, SRE, or related roles.
• Strong SQL and production‑grade Python skills, including testing and packaging.
• Strong hands‑on GCP experience, including BigQuery, GKE/Kubernetes, IAM and service accounts, Cloud DNS, and Dataproc.
• Hands‑on Kubernetes experience, ideally including self‑hosted Airflow on GKE.
• Experience with infrastructure as code (Terraform) and separate development/production environments.
• Experience with Docker, CI/CD, and Git‑based collaboration.
• Hands‑on experience with dbt or similar transformation tooling.
• Solid understanding of data modeling, orchestration, data quality, observability, and reliability.
• Proven ownership across design, build, deployment, monitoring, and continuous improvement.
• Experience across different team setups and with data science/analytics teams.
• Clear, proactive communication with technical and non‑technical stakeholders.
• Pragmatic engineering judgment balancing quality, speed, cost, and complexity.
• English required, plus Dutch or French.

Responsibilities

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

Skills

SQL

Python

GCP

Kubernetes

Airflow / Dagster / Cloud Composer

Terraform

Docker

CI/CD

dbt

Data modeling

Observability

Tools

BigQuery

GKE

IAM

Dataproc

Job description

Agoya is a data and AI agency in Belgium seeking a Data Engineer to join its HQ team. You will build batch and streaming pipelines, design analytics data models, and implement robust data quality and observability across cloud environments.

You will collaborate with data engineers, AI engineers, analysts, and data scientists to deliver reliable data products and reusable patterns, shaping how Agoya works across projects.