4 of 4 Data Lake Jobs in West Yorkshire

NASDAQ: EXLS) is a global data and AI company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. Bringing together domain expertise with robust data, powerful analytics, cloud and AI to create agile, scalable solutions and execute … operations for the worlds leading corporations. EXL was founded on the core values of innovation, collaboration, excellence, integrity and respect, creating value from data to ensure faster decision-making and transforming operating models. Key industries include Insurance, Healthcare, Banking and Financial Services, Media, and Retail, among others. Headquartered ...

pipelines using Dataflow Gen2 and Fabric Notebooks • Develop and maintain Lakehouse solutions using Medallion architecture • Work with SQL, Python, Spark SQL and Delta Lake • Integrate data from APIs, databases, CRM, ERP and third party platforms • Support both batch and real time data processing • Develop … Lakehouse architecture • Strong SQL and Python skills • Experience with Spark and Spark SQL • Proven experience designing scalable ETL and ELT pipelines • Data Lake and Delta Lake experience • Experience integrating data from multiple structured and unstructured sources • Good understanding of CI/CD, DevOps ...

Senior Data Engineer Microsoft Fabric Leeds | Hybrid | £65,000£75,000 + 10% bonus + 7% pension + benefits If youre already working hands-on with Microsoft Fabric and want greater ownership of the solutions you build, this role gives you the chance to do that without moving … Lakehouse, Warehouse and OneLake Data pipelines and ETL/ELT Power BI SQL and data modelling Azure Data Lake Internal and third-party API integrations Azure DevOps, Git and CI/CD Production deployment and support Existing Azure Synapse solutions during the transition ...

connect security telemetry, assets, identities, vulnerabilities, threats, controls, and incidents into a trusted intelligence layer. The role is highly hands-on and combines data science, graph engineering, cybersecurity analytics, semantic modeling, and technical leadership to enable attack-path analysis, threat investigation, exposure prioritization, GraphRAG, and AI-assisted security … graph ingestion and transformation pipelines for SIEM, EDR/XDR, IAM/PAM, CMDB, vulnerability scanners, cloud security platforms, threat intelligence feeds, security data lakes, and case-management systems. Develop entity extraction, identity resolution, deduplication, schema mapping, relationship inference, confidence scoring, temporal modeling, and graph enrichment capabilities. Model ...