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Data/AI Engineer - Data Platform & Analytics

SquareDev
Bruxelles

Postuler rapidement

Détails de l'emploi

Temps plein

Qualifications

CI/CD
Azure
DevOps
Encryption
Git
Bases de données
SAP S/4HANA
ETL
ServiceNow
Cyber-sécurité
Intelligence artificielle
Compétences en communication
Gestion des identités et des accès

Description complète du poste

Why are you looking for a job?

If your answer ticks all the boxes, this could be the start of a great collaboration.

You have a curious mind - You won't understand what we're talking about if you don't
You want to learn more around technology - You won't survive if you don't
You want to make the world a bit better

We happen to be just like that as well. We like hacking things here and there (you included) and create scalable solutions that bring value to the world.

SquareDev? ️

We use state-of-the-art technology to build solutions for our customers and our partners' customers. We make sure we stay best-in-class by participating in research projects across Europe, collaborating with top universities and enterprises on AI, Data, and Cloud.

About QnR Group

SquareDev is a member of the QnR Group, a leading technology organization specializing in end-to-end custom software solutions, Artificial Intelligence, Cybersecurity, SAP S/4HANA, SAP Business One, ServiceNow, and FinTech solutions.

As part of QnR Group's ongoing expansion — both in Greece and internationally — we are continuously hiring across a wide range of tech roles. Successful candidates may be hired by QnR Group, or another company within the Group, depending on the role and project.

Role overview

We are looking for an Engineer to join one of our EU public sector clients based in Brussels. You'll will contribute to the design, development, and deployment of core platform components, focusing on data engineering, analytics and AI-enabled capabilities. The role requires a strong ability to work across structured and unstructured data, enabling reporting and advanced analytical and AI use cases.

Requirements

The ideal candidate will be responsible for:

Building and maintaining data pipelines integrating heterogeneous structured and unstructured sources, including batch and near-real-time ingestion.
Performing data cleansing, validation, standardization, metadata tagging, and supporting data lineage across data flows.
Contributing to the Data and Product Catalogue and implementing data quality checks and monitoring.
Designing solutions that combine structured data (databases, tabular datasets) with unstructured data (documents, reports, text) into reusable data products.
Supporting AI-driven processing of document-centric data and contributing to AI-enabled use cases with explainability, traceability, and human-in-the-loop controls.
Automating pipelines and reporting workflows, and implementing event-driven processing, alerts, and monitoring.
Implementing security controls (IAM, encryption at rest/in transit, audit logging) and supporting separation of classified/unclassified and secure or air-gapped environments.
Building modular, scalable platform components using open standards/APIs, and supporting integration with existing EDA systems.

To excel in this role, you'll need:

Proven experience designing ETL/ELT pipelines and working with data lake/warehouse architectures (Microsoft Fabric, Azure ecosystem, or open-source platforms).
Demonstrated experience integrating structured data (databases, tabular) with unstructured data (documents, PDFs, text corpora) end-to-end.
Experience in analytics development, data modelling, and exposure to AI/ML on text/document-based data, with understanding of explainability and traceability.
Knowledge of DevOps, Git, CI/CD, and pipeline automation; ability to work in multi-stakeholder environments.
Strong English communication skills.

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