Data/AI Engineer

ppbWhy are you looking for a job? /b /p pIf your answer ticks all the boxes, this could be the start of a great collaboration. /p ul liYou have a curious mind
- You won't understand what we're talking about if you don't /li liYou want to learn more around technology
- You won't survive if you don't /li liYou want to make the world a bit better /li /ul pWe 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. /p h3bSquareDev? /b /h3 pWe 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 bresearch projects across Europe /b, collaborating with btop universities and enterprises /b bon /b bAI, Data, and Cloud /b. /p pbAbout QnR Group /b /p pbSquareDev is a member of the /b bQnR Group /b, 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. /p pAs 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. /p h3bRole overview /b /h3 pWe are looking for an bEngineer /b 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. /p pbThe ideal candidate will be responsible for: /b /p ul liBuilding and maintaining data pipelines integrating heterogeneous structured and unstructured sources, including batch and near-real-time ingestion. /li liPerforming data cleansing, validation, standardization, metadata tagging, and supporting data lineage across data flows. /li liContributing to the Data and Product Catalogue and implementing data quality checks and monitoring. /li liDesigning solutions that combine structured data (databases, tabular datasets) with unstructured data (documents, reports, text) into reusable data products. /li liSupporting AI-driven processing of document-centric data and contributing to AI-enabled use cases with explainability, traceability, and human-in-the-loop controls. /li liAutomating pipelines and reporting workflows, and implementing event-driven processing, alerts, and monitoring. /li liImplementing security controls (IAM, encryption at rest/in transit, audit logging) and supporting separation of classified/unclassified and secure or air-gapped environments. /li liBuilding modular, scalable platform components using open standards/APIs, and supporting integration with existing EDA systems. /li /ul pbTo excel in this role, you'll need: /b /p ul liProven experience designing ETL/ELT pipelines and working with data lake/warehouse architectures (Microsoft Fabric, Azure ecosystem, or open-source platforms). /li liDemonstrated experience integrating structured data (databases, tabular) with unstructured data (documents, PDFs, text corpora) end-to-end. /li liExperience in analytics development, data modelling, and exposure to AI/ML on text/document-based data, with understanding of explainability and traceability. /li liKnowledge of DevOps, Git, CI/CD, and pipeline automation; ability to work in multi-stakeholder environments. /li liStrong English communication skills.br/ /li /ul /p