Design and build data pipelines and APIs while maintaining business-critical applications in Python and TypeScript. Work across Google Cloud, BigQuery, and MongoDB to automate processes and improve data quality. Collaborate with stakeholders to translate business needs into technical solutions and enhance system reliability.
The Lead Data Engineer will develop, maintain, and quality assure numerical models for calculating pEPR fees and producer payments. They will lead the data strategy, ensuring robust and transparent processes, and collaborate across teams to support decision-making and policy development.
Design and lead the architecture of enterprise-scale Generative AI and Agentic AI systems on Google Cloud Platform. Define technical strategy, establish architecture standards, and ensure production-grade deployment of LLM, RAG, and multi-agent solutions. Work across cloud-native AI platforms with strong focus on security, scalability, and MLOps practices.
A leading consultancy partner is seeking two experienced Data Engineers to join a major data transformation and cloud modernisation programme within a large banking organisation.This is an excellent opportunity for hands-on Data Engineers who enjoy building scalable data solutions, solving...
This role involves leading data strategy discovery for a telecommunications client, assessing current data landscapes across customer, finance, and network domains. The Data Architect will evaluate existing GCP BigQuery Data Lakehouse implementations, identify data quality and governance issues, and define a target architecture and roadmap. Key activities include stakeholder workshops, data inventory cataloguing, and designing data ontologies for AI/analytics use cases, with opportunities to use Python and LLMs for automation.
Design and build data pipelines to migrate and integrate data from diverse sources like Oracle, SharePoint, and Informatica into Azure Data Lake and Datab游戏副本ricks. Focus on establishing scalable ingestion patterns and improving data engineering maturity in a developing Azure environment, with strong collaboration across technical and business teams.
Design and build scalable data pipelines to migrate and integrate data from diverse legacy and enterprise systems into Azure Data Lake and Databricks. Focus on ETL/ELT development, source system integration, and data transformation within a maturing Azure environment. Collaborate with stakeholders to define patterns and improve data engineering standards.
We are looking for an experienced GCP Big Query Architect with 10 +years of IT experience and strong expertise in designing, architecting, and delivering enterprise-scale data platforms on Google Cloud Platform (GCP). The ideal candidate will have extensive experience with...
This role involves working as a Data Engineer with a focus on Microsoft Fabric, contributing to data quality and standards within a cloud data platform environment. The engineer will help exploit Fabric's functionality, particularly in migrating from legacy SQL and Power BI systems. The position supports hybrid working and emphasizes practical experience in cloud-based data engineering.
Lead Data EngineerAre you an experienced Lead Data Engineer looking to shape the future of a modern cloud data platform? This is an exciting opportunity to join a growing technology business where you'll provide technical leadership, define engineering best practices,...
This role involves migrating data from legacy SQL Server and Power BI environments into Microsoft Fabric, with a focus on improving data quality and standards. The engineer will work in a hybrid setup, spending two days a week in the Leeds office, and contribute to the implementation and ongoing use of Fabric's capabilities. Experience with Azure, ADF, or Databricks is advantageous for this cloud-based data engineering position.
Design and build scalable data pipelines and ingestion processes using big data technologies like Apache Spark and Hadoop within secure government environments. Develop and optimise high-performance data integration solutions on AWS, leveraging tools such as Apache NiFi and programming languages like Python or Java. Work collaboratively in Agile teams to deliver reliable, secure data platforms supporting analytics and operational decision-making.
Design and build scalable data pipelines and high-performance data platforms within secure government environments. Work closely with Agile teams to integrate data from multiple sources using modern big data technologies. Focus on developing reliable, tested ETL processes and optimising data systems for analytics and operational use.
This role involves building, integrating, and transforming data to support business intelligence and strategic growth. You will work closely with the Finance Team, Commercial Analysts, and the Technology function to develop data pipelines, maintain data quality, and support the migration to modern cloud-based data platforms like Databricks and ThoughtSpot.
This role involves building data pipelines and robust metric frameworks to improve customer success measurement across international markets. You'll create scalable dashboards, conduct deep-dive analysis on customer journey pain points, and leverage Gen AI to automate insights and replace manual workflows. The position emphasizes cross-functional collaboration, experimentation, and data-driven storytelling to enhance customer experience and operational performance.
