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
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