Data Scientist Engineer
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What are we looking for?
We are looking for candidates who will embrace our Cyber Security strategy in the design, implementation and operations of Cloud Security with a focus on Azure. As an Azure Security Engineer, you should be hands‑on in all aspects of Azure security including implementing security controls and threat protection, managing identity and access management, implementing security policies, using Azure technologies.
You will serve as part of a larger team dedicated with the vision to provide a flexible and reliable cloud platform, maximizing the ability to realize its benefits while reducing risks. In this role you will work closely together with products owners and cloud architects to help build a secure and robust enterprise‑grade cloud platform.
At Devoteam, we believe cyber is about creating a more secure future for our customers. Our Cyber Security consultants leverage technologies of trusted partners to help clients control which employees, partners, suppliers, customers, and citizens have access to sensitive organizational applications and data. We also focus on the integrations of cutting‑edge technologies in the cyber security space. Our team is dedicated to enhancing the security programs of our clients so they can mitigate risk, reduce intrusion, and secure information. If you're seeking a career in cyber security then this opportunity might be right for you.
What will your day look like?
Your responsibilities will include implementing security services in cloud‑based programs based on pre‑defined architectures, managing the security posture, identifying and remediating vulnerabilities, performing threat modelling, implementing threat protection, and responding to security incident escalations.
Your day to day tasks will be:
- Implement, maintain and improve the security posture of the Azure platform, identifying, and remediating vulnerabilities by using a variety of security tools.
- Implement and configure security controls and policies, manage access to data, and monitor threats to ensure that data, apps, containers, infrastructure, and networks are protected.
- Configure access within a cloud solution environment using the defense‑in‑depth principle
- Configure network security including in a hybrid context with traditional network centric controls
- Implement and use cloud native tools like Log Analytics, Azure Monitor, Azure Security Center and Azure Sentinel
Who will you work with?
You will be part of the Cyber Trust team with more than 50 people in Belgium, exchanging insights and knowledge, “ensuring a secure IT environment protecting the business goals”. You will work with our customer’s business and technical employees to capture, discuss and verify cyber risks. You work on flexible daily basis, on‑site at client’s office, at Devoteam in Zaventem or at home. You will report to your practice manager, who will be your point of contact for development and career guidance.
Joining our Data Team as a Data Solutions Architect, you’ll be the strategic architect of our data future. You don't just bridge the gap between business goals and technical execution; you close it. By designing high‑performance, scalable architectures that fit perfectly within our global ecosystem, you enable a team of Data Engineers to reach new heights of operational excellence. We’re looking for a leader who blends deep‑dive coding experience with the vision to coach an autonomous, high‑standard team.
Job Description
- System Design and Architecture: You define end‑to‑end technical flows on the Google Cloud Platform (GCP) stack and ensure alignment with corporate standards.
- API Subject Matter Expert: You lead the design of API architectures, whether they are generic, sector‑specific, or dedicated to front‑end applications.
- Translation of Business Requirements: You work closely with Product Owners to convert functional requirements into concrete technical work packages.
- Technical Mentorship: You guide Data Engineers in solving complex problems and foster the continued professional growth of the team.
- Data Governance: You oversee the design of the Data Warehouse in BigQuery and strictly monitor security and privacy standards (IAM, data protection).
- AI Architecture: You define implementation standards for AI and Machine Learning models within the data platform.
- Financial Optimization (FinOps): You design financially sustainable solutions by continuously optimizing GCP resources and query performance.
- Innovation and PoCs: You conduct Proof of Concepts to evaluate new tools and keep the technological stack future‑proof.
- Quality Assurance: You perform periodic reviews to guarantee that implementations