Data Engineer – AI CoE

About the role

Grant Thornton Greece is looking for an experienced Data Engineer to join its Data Engineering team within the AI CoE. You will design and build the data platforms and pipelines that power the firm's AI, GenAI and machine learning initiatives, working alongside the Applied Intelligence & Predictive Analytics team and the DevOps-MLOps Guild.

Key responsibilities

• Design and implement data platforms and lakehouse architectures using Azure Databricks, Microsoft Fabric, Synapse Analytics, Data Factory and Data Lake Storage Gen2
• Build scalable, secure, high-performance ETL/ELT pipelines for structured and unstructured data
• Prepare AI-ready data: feature engineering, dataset versioning and lineage, and pipelines for GenAI/RAG use cases such as document processing, embeddings and vector search
• Ensure data quality, security and governance, including profiling, PII/sensitivity classification and compliance across Azure environments
• Support the ML/AI lifecycle with pipelines for model training, evaluation and monitoring, including data-drift detection
• Contribute to CI/CD, automation and infrastructure as code using Azure DevOps
• Work with architects, AI engineers and business stakeholders to define data architecture standards

Required profile

• 4-6 years of experience in a Data Engineering role
• Structured engineer who values analysis before development, clear definitions of ready/done and documented work
• Effective communicator with technical and non-technical stakeholders, including clients
• Agile and adaptable in Scrum/Kanban environments

Required skills

• Azure data stack: Databricks, Synapse Analytics, Data Factory, Data Lake Storage Gen2
• Python and SQL for data manipulation, transformation and orchestration
• Apache Spark and streaming technologies (Kafka, Azure Event Hubs, Spark Structured Streaming)
• Data warehousing, lakehouse (medallion) architectures and data modeling
• CI/CD pipelines and IaC with Azure DevOps
• Nice to have: Microsoft Fabric, MLOps tooling (e.g. MLflow), vector databases (e.g. Azure AI Search), Azure certifications

What we offer

• Competitive salary and bonus
• Insurance program for all members
• Fully funded training and professional qualifications
• Extra days off in August, volunteering days and corporate sports teams
• Employee discounts and a company car depending on job level