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# Medior/Senior Data Ops Engineer - Consultant

- **Company:** Orange
- **Location:** Evere, Belgium
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Airflow, Cloud Computing, Computer Programming, Databases, Continuous Delivery, Continuous Integration, Data Integrity, Extract Transform Load (ETL), Data Structures, Data Systems, DevOps, Python (Programming Language), Object-Oriented Software Development, Standard Sql, DataOps, Data Processing, Cloud Platform System, Snowflake, Kubernetes, Information Technology, Data Analytics, Data Management, Terraform, Azure Synapse Analytics, Data Pipelines, Docker, Databricks
- **Published:** October 24, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=3ba4be1021086d84

## About the Role

* Interest in digital transformation and data-driven solutions
 * Proactive mindset and outside the boxthinking to tackle challenges.
 * You are able to explain technical concepts to a non-technical audience.
 * You excel in interpersonal communication and know how to have a professional and commercial approach with customers.
 * You value collaboration as a way to succeed
 * Strong communication and presentation skills in French and/or Dutch + English

Your technical expertise:

 * A master's degree or PhD in Mathematics, Statistics, Computer Science, Engineering, Business Engineering, Physics or any related field
 * At least 3 years of relevant experience as a Data/DevOps/Software Engineer.
 * A strong interest in data management (databases systems and ETL processes).
 * Programming: A strong SQL and Python knowledge.
 * Deployment and Orchestration: Experience working with deployment and orchestration technologies (i.e., Docker, Kubernetes, Terraform, Airflow, etc.).
 * Data-Oriented Mindset: you possess a good knowledge of data modeling and data-architecture core concepts.

It is not a requirement, but other preferred qualifications would be:

 * DevOps methodologies: Familiar with DevOps practices, automation tools, and continuous integration/continuous delivery (CI/CD) pipelines.
 * Programming Concepts: Understanding of object-oriented programming concepts, data structures, and algorithms.
 * Cloud and Data tools: Experience with a cloud provider or data processing tools (Databricks, Snowflake, Synapse, etc.)

## Description

As Data Ops engineer, your role will involve developing, testing, and continuously deploying data solutions in cloud environments. Your expertise will help optimize data workflows, orchestrating end-to-end data lifecycles and ensuring efficient data pipeline operations for our clients across various sectors.

 * Lead the Way: Use an analytical, data-driven approach to support business cases.
 * Engage with Stakeholders and Get Creative: Work with clients and partners to design data pipelines and deliver insightful analytics while ensuring data integrity.
 * Use your technical knowledge: implement effective solutions by leveraging top-notch technologies and automating key components of client's infrastructure.
 * Mentor and Collaborate: Possibility to give training in our Cloud and Data Academy or present advanced tech topics during Lunch & Learn session.

Who you are:
What matters most for this role