{"id":4078203,"url":"https://alion.io/job/grant-thornton-greece-data-engineer-2","title":"Data Engineer","company":{"id":985527,"name":"Grant Thornton Greece","domain":"grantthornton.gr","url":"https://alion.io/company/grantthornton-gr","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Teamtailor","truth_index":{"grade":"A","score":89,"open_postings":8,"ghost_share":0,"stale_share":0.25,"repost_share":0,"time_to_fill_p50_days":101,"computed_at":"2026-11-11T05:49:22Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Athens, Greece"],"countries":["GR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Apache Kafka","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Embeddings","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Machine Learning","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Kanban","optional":true},{"name":"MLFlow","optional":true},{"name":"Scrum","optional":true}],"status":"live","first_seen_at":"2026-11-10T08:47:18Z","employer_posted_date":"2026-11-10","last_verified_at":"2026-11-12T05:12:05Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Who we Are\nAt Grant Thornton Greece, we’re not just part of a global network of 76,000 professionals across 156 countries. We’re independent thinkers who prioritize quality, inclusion, and integrity to create a better, more personal experience for our clients and our team. Our mission? To deliver expertise in a way that goes beyond - Personal, Proactive, and Agile.\nWe don’t predict the future here-we shape it.\nMilestones WE are Proud of\nGreat Place to Work certified for four years running!\nBest Workplaces Hellas for 2025 & 2026!\nBest Workplaces for Women for three consecutive years!\n⭐Best Workplace in Professional Services & Consulting for 2025 & 2026!\nBest Workplace for Young Professionals for 2026!\nProud members of the Diversity Charter Greece and certified with the SHARE Equality Label\nFlexible way of Working (Hybrid)\nCoaching & Counseling from Senior Professionals\nThe role in detail\nWe are looking for an experienced Data Engineer to join the Data Engineering team of our AI CoE. You will design and build the modern data platforms and pipelines that power our AI, GenAI, and machine learning initiatives - from ingestion and transformation to feature engineering and AI-ready datasets. You will work side by side with our Applied Intelligence & Predictive Analytics team and the DevOps-MLOps Guild to take data and AI solutions from idea to production, for both internal use and client engagements.\nThe key responsibilities of this role will include:\nDesigning and implementing data platforms and lakehouse architectures using Azure Databricks, Microsoft Fabric, Synapse Analytics, Data Factory, and Data Lake Storage Gen2\n\nBuilding scalable, secure, and high-performance ETL/ELT pipelines for structured and unstructured data\n\nPreparing AI-ready data: feature engineering, dataset versioning and lineage, and data pipelines for GenAI/RAG use cases (document processing, embeddings, vector search)\n\nEnsuring data quality, security, and governance - profiling, PII/sensitivity classification, and compliance across Azure environments\n\nSupporting the ML/AI lifecycle with data pipelines for model training, evaluation, and monitoring, including data-drift detection\n\nContributing to CI/CD, automation, and infrastructure as code practices using Azure DevOps, together with the DevOps-MLOps Guild\n\nCollaborating with architects, AI engineers, and business stakeholders to shape data architecture standards across projects\n\nTo be successful at this role you need the following:\nMust Have:\n4-6 years of experience inData Engineering role with expertise in Azure data stack: Databricks, Synapse Analytics, Data Factory, Data Lake Storage Gen2\n\nAdvanced programming skills in Python and SQL for data manipulation, transformation, and orchestration\n\nSolid knowledge of Apache Spark and streaming technologies (Kafka, Azure Event Hubs, Spark Structured Streaming)\n\nStrong grasp of data warehousing, lakehouse (medallion) architectures, and data modeling\n\nExperience with CI/CD pipelines and IaC using Azure DevOps\n\nUnderstanding of cloud security, compliance, and data governance standards\n\nNice to have:\nExperience with Microsoft Fabric\n\nExposure to MLOps tooling (experiment tracking, model/feature registries -e.g. MLflow) and vector databases (e.g. Azure AI Search)\n\nAzure certifications (e.g.Azure Data Engineer Associate, Fabric Analytics Engineer)\n\nWho you are:\nA structured engineer who values analysis before development, clear Definitions of Ready/Done, and traceable, well-documented work\n\nAn effective communicator, comfortable engaging both technical and non-technical stakeholders-including clients\n\nAgile and adaptable, at home in Scrum/Kanban delivery environments\n\nPassionate about innovation, quality, and continuous improvement\n\nHow we work:\nFixed 3-week sprint cycles with one-sprint-ahead analysis and strict quality gates\n\nA guild model (Architecture, Quality Centre, DevOps-MLOps) that supports every project with standards, reviews, and office hours\n\nAn Innovation Lab for time-boxed spikes and POCs on emerging AI capabilities\n\nResponsible AI by default -explicit governance gates for data, models, agents, and prompts\n\nWhat’s in it for You?\nAt Grant Thornton Greece, we believe that great work deserves great rewards! Here’s what you can look forward to:\nDiverse and inclusive workplace\n\nFriendly, Dynamic Working environment\n\nCompetitive Salary & Bonus\n\nInsurance Program for all GT members\n\nFully funded Training & Professional Qualifications\n\nExtra Days-off: August Freedays, Volunteering Days\n\nCorporate Sports Teams (e.g., Running, Basketball, Volleyball)\n\nExclusive Discounts: Special offers and discounts for employees\n\nCompany Car (depending on job level)\n\nReady to Go Beyond?\nIf you're imagining a career that’s anything but ordinary, then Grant Thornton Greece is the place for you! We don’t just do business as usual-we go beyond. Ready to take that leap?\nSimply upload your up-to-date CV, hit \"apply\", and we’ll handle the rest!\nWe are Grant Thornton. 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