11 of 11 Databricks Jobs in West Yorkshire

pipelines supporting event operations across channels. 5+ years in data architecture or related fields. Deep knowledge of modern data architecture, cloud platforms (Azure, AWS, Databricks), ETL/ELT. Experience with metadata management, AI/Machine Learning integration. Strong communication and stakeholder engagement skills. Understanding of information security, privacy, and compliance ...

experience designing and evolving enterprise-scale data platforms Deep expertise in cloud-based data and analytics services on the Microsoft Azure platform (e.g. Azure Databricks, Azure ML) Experience shaping proofs of concept and evolving designs into production solutions Strong stakeholder engagement skills, including engagement with senior stakeholders Experience leading ...

science, machine learning or data engineering, including experience with Python and/or R. Strong understanding of cloud‐based technologies and solutions (Azure and Databricks preferred), DevOps practices and API‐driven architectures. Experience with large language models (LLMs), generative AI technologies including AI agents and their practical applications. Proven experience ...

Logic Apps, Service Bus and API Management. Working knowledge of C#, Python, particularly for automation, integration or AI-enabled solutions. A key understanding of Databricks and modern data architectures. Experience integrating Power Platform solutions through APIs and enterprise integration patterns. Experience with Agile, DevOps, CI/CD and Infrastructure ...

science, machine learning or data engineering, including experience with Python and/or R. Strong understanding of cloud-based technologies and solutions (Azure and Databricks preferred), DevOps practices and API-driven architectures. Experience of large language models (LLMs), generative AI technologies including AI agents and their practical applications. Proven experience ...

analytical tools and languages (e.g., SQL, Python, R) and visualisation tools (Power BI, Tableau). Familiarity with modern cloud data environments (e.g., Snowflake, Databricks). Excellent communicator, able to present complex data in clear, concise, and compelling ways to senior stakeholders. Highly collaborative, comfortable working across multiple teams and disciplines. ...

part with the rest of the IT division and other stakeholders to identify opportunities where AI can add value. Requirements: MS Technology Stack - Databricks, Fabric, Copilot etc. Exposure to traditional automation techniques (RPA) Data Warehousing and Data Platform experience (Data Factory, Fabric or similar) Strong understanding of Data Governance Apply ...

traditional ecosystems-with extensive experience building data solutions using Microsoft Azure and/or AWS native services, with development to production experience in Snowflake, Databricks or Fabric, managing delivery with an Agile mindset. Data Product mentality: You understand how to build Data Products ensuring that every pipeline and dataset … making through advanced analytics. AI: You have a deep expertise or experience of AI, specifically how to build AI solutions in modern data platforms (Databricks/Snowflake). In addition to Microsoft Azure, leveraging core technologies in the AI Foundry ecosystem, understanding different business challenges require varied solutions from ...

Senior Quantexa Data Engineer - Leeds/Hybrid (Quantexa Data Engineer, Lead Data Engineer, Senior Data Engineer, Data Engineering Manager, Quantexa, Spark, Scala, Python Databricks, DevOps, CI/CD pipelines, Jenkins, GitHub Actions, Azure DevOps, Docker, Kubernetes, Quantexa Data Engineer) Our client is a global innovator and world leader with … your CV to Nathan Warner at Noir Consulting. (Quantexa Data Engineer, Lead Data Engineer, Senior Data Engineer, Data Engineering Manager, Quantexa, Spark, Scala, Python Databricks, DevOps, CI/CD pipelines, Jenkins, GitHub Actions, Azure DevOps, Docker, Kubernetes, Quantexa Data Engineer) NOIRUKTECHREC NOIRUKREC ...

that enable real‐time and batch data processing at scale. Responsibilities Drive platform capability improvements – continuously enhance distributed data platforms using knowledge of Spark, Databricks, Kafka, Pulsar, Cassandra, and object stores to maintain best‐in‐class capabilities. Enable application data consumption – understand how applications produce and consume data, designing solutions … read/write patterns, scalability, and performance. Deliver cloud‐native data solutions – architect and implement data platforms on AWS leveraging cloud native services, Databricks, object stores (S3), and distributed compute frameworks. Provide technical leadership and mentoring – mentor engineers and architects on distributed data platform patterns, helping teams deliver robust solutions ...

nation's financial system. The Bank of England, in partnership with Inspire People, is seeking a Lead Solution Architect with Azure expertise (ADLS, Databricks, App Services, Purview), knowledge on data-collection platforms and the ability to produce clear, high-quality architectural artefacts. Based in Leeds on a 21-month … Support procurement processes, vendor assessments and technical requirements across key programmes. Essential skills for the Lead Solution Architect include: * Strong Azure capability across ADLS, Databricks, App Services, Purview, identity and integration patterns. * Proven experience shaping enterprise architecture artefacts including HLDs, blueprints, options and phased roadmaps. * Advanced data-collection and modelling ...