DataAnalyticsEngineer Contract Role Inside IR35 | 475-500/day | Remote | Initial 6 Months | Extension Likely We have a new DataAnalyticsEngineer contract opportunity a customer of ours, supporting their Global Operations and Customer Service teams. This role is remote-first, with the very odd occasional travel to Newcastle. The initial contract … is 6 months, with strong potential to extend. Were looking for someone with a strong technical foundation and a deep understanding of operational data needs - especially around workforce planning and customer service analytics. Key Responsibilities: Build and maintain scalable data pipelines and datasets using ELT/ETL best practices Deliver high-quality insights through reporting and analytics Partner with stakeholders to define and implement BI solutions Ensure data quality, system reliability, and performance Support production environments and month-end processing Communicate complex insights to technical and non-technical audiences Tech Stack: Snowflake Python Fivetran Azure/AWS Salesforce CRM (preferred) Ideal Candidate: 5+ years in BI, DataAnalytics, or Data Engineering Experience More ❯
Full-time, Permanent Basingstoke (Hybrid) £65,000 - £75,000 Reassured are looking for a DataAnalyticsEngineer to help us unlock the power of data across the business. If you're passionate about turning raw data into actionable insights and building robust data pipelines, this is your chance to make a real impact in … a fast-paced, collaborative environment. As a DataAnalyticsEngineer, you’ll be at the heart of our data platform: designing and delivering scalable solutions using Kafka for data ingestion, Databricks for ETL , modelling data for Power BI, and working closely with stakeholders to create products that drive smarter decisions. You’ll play a … key role in shaping our Lakehouse architecture. What you'll be doing: Building and optimising data ingestion pipelines using Apache Spark (ideally in Azure Databricks) Designing semantic models and dashboards for business insights Collaborating across teams to understand requirements and deliver fit-for-purpose data products Supporting the productionisation of ML pipelines Working in an Agile/DevOps More ❯
Full-time, Permanent Basingstoke (Hybrid) £65,000 - £75,000 Reassured are looking for a DataAnalyticsEngineer to help us unlock the power of data across the business. If you're passionate about turning raw data into actionable insights and building robust data pipelines, this is your chance to make a real impact in … a fast-paced, collaborative environment. As a DataAnalyticsEngineer, you’ll be at the heart of our data platform: designing and delivering scalable solutions using Kafka for data ingestion, Databricks for ETL , modelling data for Power BI, and working closely with stakeholders to create products that drive smarter decisions. You’ll play a … key role in shaping our Lakehouse architecture. What you'll be doing: Building and optimising data ingestion pipelines using Apache Spark (ideally in Azure Databricks) Designing semantic models and dashboards for business insights Collaborating across teams to understand requirements and deliver fit-for-purpose data products Supporting the productionisation of ML pipelines Working in an Agile/DevOps More ❯
Farnborough, Hampshire, United Kingdom Hybrid / WFH Options
CBSbutler Holdings Limited trading as CBSbutler
Data & Analytics - Gen AI Engineers x 2 + fully remote contract + initially 6 months + £500 to £525 per day - Inside IR35 Key Skills: + Design of Gen AI Models + RAG + AI/ML Pipelines The Role: + Design, prototype, and deploy Generative AI models (LLMs, Transformers, Diffusion models) for enterprise use cases. + Build … assistants, etc.). + Apply prompt engineering, RAG (Retrieval-Augmented Generation), and context-aware pipelines to ensure accuracy and relevance. + Integrate AI models with enterprise systems, APIs, and data stores using Python, Java, or Node.js backends. + Collaborate with architects to define scalable and secure AI service architectures. Required Experience/Skills: Implementing AI/ML pipelines for … e.g., model compression, quantization, API optimization). Ensure compliance with AI ethics, security, and governance standards. Prepare and curate training datasets (structured/unstructured text, images, code). Apply data preprocessing, tokenization, and embedding generation techniques. Work with vector databases (Pinecone, Weaviate, FAISS, Chroma) for semantic retrieval use cases. Partner with business stakeholders to identify and shape AI use More ❯
