GenAI Data Engineer

The Role: GenAI Data Engineer Location: London (or) Edinburgh, UK Position Type: Contract Inside IR35 Remote work option Available: Hybrid – 2 Days Onsite Job Description: Essential skills/knowledge/experience: * Strong experience with PySpark, distributed data processing, and largescale ETL/ELT pipelines. * Strong SQL expertise including star/snowflake schema design, indexing strategies, writing optimized queries, and implementing CDC, SCD Type 1/2/3 patterns for reliable data warehousing. * Advanced proficiency in Python for data engineering, automation, and ML/GenAI integration. * Hands‑on expertise with AWS services (S3, Glue, Lambda, EMR, Bedrock / custom model hosting). * Practical experience with GenAI/LLM model creation, finetuning, benchmarking, and evaluation. * Solid understanding of RAG architectures, embeddings, vector stores, and LLM evaluation methods. * Experience working with structured and unstructured datasets (documents, logs, text, images). * Familiarity with scalable data storage solutions (Delta Lake, Parquet, Redshift, DynamoDB). * Understanding model optimization techniques (quantization, distillation, inference optimization). * Strong capability to debug, tune, and optimize distributed systems and AI pipelines. Desirable skills/knowledge/experience: * Pyspark, Python, SQL,AWS, GenAI