Hybrid Data Ops Engineer: Cloud Pipelines & Automation

Orange Business

Brussel

Hybride

EUR 60 000 - 90 000

Plein temps

Il y a 12 jours
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Résumé du poste

Orange Business in Brussels is seeking a Data Ops engineer to develop, test, and deploy data solutions in cloud environments. You will optimize data workflows, orchestrate end-to-end data lifecycles, and ensure reliable data pipelines for diverse clients.

You will lead data-driven initiatives, design pipelines with stakeholders, implement automated solutions using Docker, Kubernetes, Terraform and Airflow, and share knowledge through training sessions in our Cloud and Data Academy.

Qualifications

  • Master’s degree or PhD in a related technical field.
  • Minimum 3 years of experience as Data/DevOps/Software Engineer.
  • Strong SQL and Python programming skills.
  • Experience with deployment and orchestration (Docker, Kubernetes, Terraform, Airflow).
  • Knowledge of data modeling and data architecture concepts.
  • Familiarity with cloud data tools (Databricks, Snowflake, Synapse).

Responsabilités

  • Lead data-driven business cases with analytical thinking.
  • Design data pipelines with clients and ensure data integrity.
  • Implement solutions using top technologies and automate workflows.
  • Mentor others and share advanced topics in training sessions.

Connaissances

SQL
Python
French
Dutch
English
Data management
DevOps
Stakeholder communication

Formation

Master's degree or PhD in Mathematics, Statistics, Computer Science, Engineering, Business Engineering, Physics or related field

Outils

Docker
Kubernetes
Terraform
Airflow
Databricks
Snowflake
Synapse

Description du poste

Orange Business in Brussels is seeking a Data Ops engineer to develop, test, and deploy data solutions in cloud environments. You will optimize data workflows, orchestrate end-to-end data lifecycles, and ensure reliable data pipelines for diverse clients.

You will lead data-driven initiatives, design pipelines with stakeholders, implement automated solutions using Docker, Kubernetes, Terraform and Airflow, and share knowledge through training sessions in our Cloud and Data Academy.

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