Gen AI Data Engineer
🔒 Confidential Employer
Posted 7 May 2026
LOCATION
London
TYPE
Contract
LEVEL
Mid-Senior level
CATEGORY
Data & Analytics
This employer holds a UK Home Office sponsor license — sponsorship for this specific role is at the employer’s discretion
SKILLS
PySpark
Python
SQL
AWS
GenAI/LLM
Distributed Data Processing
ETL/ELT Pipelines
RAG Architectures
FULL DESCRIPTION
Gen AI Data Engineer - Pyspark/Python
Posted: 28 April 2026 | Location: London | Job Type: Contract | Discipline: Technology
Job description
The Role: GenAI Data Engineer
Location: London (or) Edinburgh, UK
Position Type: Contract Inside IR35
Remote work option Available: Hybrid – 2 Days Onsite
Essential skills/knowledge/experience:
- Strong experience with PySpark, distributed data processing, and large scale 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, fine tuning, 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
Contact
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