1 to 25 of 29 Databricks Jobs in West Yorkshire

production environments. Prepare to be tenacious and collaborate to drive the right solutions forward. Have a good understanding of Microsoft Azure tooling including Azure Databricks, preferably with hands-on experience. Strong understanding of data modelling and architectures (e.g. data vaults, data warehousing, data lakes etc.) Experience with Azure based solutions ...

governance, master data and enterprise data management concepts. Experience working in Agile delivery environments. Exposure to data catalogue or metadata management tools. Experience using Databricks for querying, analysing and transforming data within cloud-based analytics environments.Interested? Apply today for a confidential discussion with our Talent Acquisition team#UST ...

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 ...

architectural standards, design patterns, and best practices across data ingestion, transformation, storage, and consumption layers. Provide technical leadership for Azure-based data platforms, including Databricks, Data Factory, Data Lake, and analytics solutions. Collaborate with Product Managers, Engineers, Analysts, and business stakeholders to translate requirements into robust technical solutions. Own solution … long-term platform strategy. Skillset Extensive experience designing and delivering enterprise-scale Data & Analytics solutions. Strong expertise in Microsoft Azure services including Azure Databricks, Azure Data Factory, Azure Data Lake Storage (ADLS Gen2), Azure SQL, and related data services. Deep understanding of modern data architectures including Data Lakes, Data Warehousing ...

application, integration, and technology architectures with material experience in business architecture. Strong knowledge of enterprise data platforms, public cloud services (e.g., Amazon Web Services, Databricks, Microsoft Azure, ServiceNow), and application, data, process, service, and system integration toolsets. Experience supporting Master Data Management, Data Governance, and Analytics initiatives. Experience of understanding ...

escalating appropriately, while developing toward greater independent ownership Strong analytical and problem-solving skills Excellent communication and collaboration abilities Nice to Have Experience with Databricks Experience with Kafka Experience with Kafka Connect Additional Information SFIA Level: 4 Security Clearance: SC Eligible required Location: Newcastle, Blackpool, Manchester, or Leeds (in-office ...

hands-on design experience with cloud-based services for modern analytics on the Microsoft Cloud (e.g. e.g. Azure Data Lake, Azure Data Factory, Azure Databricks & Unity Catalog, MS Purview, PowerBI, Ms Fabric) Deep expertise in data architecture, including data modelling (conceptual and logical), Master and Reference Data Management, data quality … role design, systems integration, and evaluation of architectures. Broader expertise of technologies and applications relevant to the Bank’s enterprise applications (e.g. Cloud, Azure, Databricks), and enterprise data and analytics ecosystems, including medallion architectures, data lakehouse designs, master data systems, legacy data warehouses, data engineering (ETL, ELT, CDC) for enterprise ...

will shape data architecture standards, guide platform strategy and ensure scalable, secure data solutions aligned with business goals. The role requires deep Azure expertise (Databricks, Data Factory, ADLS Gen2, SQL), strong governance, and leadership across cross-functional teams. Immediate start available. #J-18808-Ljbffr ...

your team. Key Responsibilities Discipline Expertise and Leadership Technology breadth : Deep, production‐grade experience across AWS & or Azure native services, with expert-level Databricks and/or Snowflake and an Agile delivery mindset. On AWS, you’re fluent across the core services, for example: Storage & Lakehouse: RDS, DynamoDB, S3, SageMaker … metadata management and cataloguing, through to advanced analytics and decision‐making. AI : You understand how AI is built and deployed in modern data platforms (Databricks, Snowflake) and cloud‐native services like Amazon Bedrock, with enough depth to guide teams and advise clients, spanning LLMs and SLMs, agentic automation, Human ...

Data Engineer to lead the migration of data into Microsoft Fabric, with strong SQL Server BI background. Cloud experience, ideally Azure using ADF and Databricks, is advantageous. The role focuses on enabling the Fabric platform and driving data quality across the organization. You will participate in the implementation and ongoing ...

will bring practical knowledge to accelerate data initiatives and deliver value. You should also have cloud experience, preferably Azure, using ADF and/or Databricks, and a history of migrating data from legacy SQL and Power BI environments to Fabric. The role is hybrid with two days per week ...

machine learning, Earth Observation, constraint analysis, route optioneering or site suitability.You are confident working with data engineering and cloud platforms such as Python, SQL, Databricks or Azure.You can build repeatable, scalable and reproducible tools for large spatial datasets and enterprise geospatial systems.You are able to translate business or engineering needs ...

Engineer to migrate data into Microsoft Fabric, leveraging SQL Server BI environments. The role requires cloud experience, ideally Azure with ADF and/or Databricks, and a track record of data quality improvements. You will work in a hybrid setup, with two days per week in the Leeds office, contributing ...

leadership. Support procurement processes, vendor assessments and technical requirements across key programmes. Essential skills for the Lead Solution Architect include: Strong Azure capability (ADLS, Databricks, App Services, identity and integration patterns). Knowledge of data collection and submission platforms. Experience designing scalable, secure architectural artefacts and roadmaps, including HLDs, blueprints ...

role design, systems integration, and evaluation of architectures. Broader expertise of technologies and applications relevant to the Bank’s enterprise applications (e.g. Cloud, Azure, Databricks, data life cycle management, master data systems, legacy data warehouse, workplace productivity tools) and technology operations support services (e.g. service desk, CMDB). Experience ...

production environments. Prepare to be tenacious and collaborate to drive the right solutions forward. Have a good understanding of Microsoft Azure tooling including Azure Databricks, preferably with hands-on experience. Strong understanding of data modelling and architectures (e.g. data vaults, data warehousing, data lakes etc.) Experience with Azure based solutions … explain technical concepts to non-technical business stakeholders. Demonstrated experience leading and mentoring data engineers. #UST Skills SQL, Python, Microsoft Azure, Azure Data Factory, Databricks #J-18808-Ljbffr ...

with monitoring and observability tools (Grafana, Splunk) and diagnostics platforms (New Relic, Dynatrace). • Understanding of containerisation technologies (Docker, Kubernetes) and big data platforms (Databricks). • Ability to analyse complex performance issues and provide actionable recommendations. • Strong scripting skills (e.g., Python, JavaScript) for test automation and data analysis. • Knowledge ...

with monitoring and observability tools (Grafana, Splunk) and diagnostics platforms (New Relic, Dynatrace). • Understanding of containerisation technologies (Docker, Kubernetes) and big data platforms (Databricks). • Ability to analyse complex performance issues and provide actionable recommendations. • Strong scripting skills (e.g., Python, JavaScript) for test automation and data analysis. • Knowledge ...

qualifications and experience 2+ years of experience leading informal teams or cross-functional initiatives. Experience with enterprise platforms such as Oracle, Salesforce, ServiceNow, Workday, Databricks, enterprise data platforms or similar business systems. Experience in business process improvement, digital transformation, application adoption or value realisation. Experience identifying automation, AI or analytics ...

journey. Let’s create tomorrow, together, today. About the role and team: Role overview CreateFuture is delivering the migration of an ML estate from Databricks to an AWS SageMaker-based MLOps platform, working alongside AWS. The Senior Data Engineer (ML) sits in the Databricks workstream team (Delivery Manager, Lead … platforms. This is hands‐on delivery in a regulated iGaming environment: production pipelines, not notebooks. Key responsibilities Migrate ML data pipelines from Databricks (Spark/Delta Lake) to the SageMaker-based "golden template" architecture, working to the pattern set by the Lead ML Ops Engineer Build and amend feature engineering ...

traditional ecosystems—with extensive experience building data solutions using Microsoft Azure and/or AWS native services, with development to production experience ideally in Databricks, but also Snowflake or Fabric, managing delivery with an Agile mindset. Data Product mentality: You understand how to build Data Products ensuring that every pipeline … decision 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 ...

mandatory) Employment Type: Permanent | Fixed-Term Contract | Contract (Inside IR35) Start Date: Immediate Key Responsibilities Lead the architecture, design, and implementation of Azure and Databricks-based data platforms. Provide technical leadership, mentoring, and guidance to engineering teams. Collaborate with business and technical stakeholders to define platform roadmaps and best practices. … using Terraform and Azure services. Support strategic decision-making by aligning platform capabilities with business objectives. Essential Skills & Experience Strong hands-on experience with Databricks development and platform architecture. Good understanding of Azure infrastructure, networking, and Terraform. Proven experience in solution architecture, technical design, and stakeholder management. Experience leading technical ...

CreateFuture is delivering the migration of an ML estate from Databricks to an AWS SageMaker-based MLOps platform. The Senior Data Engineer (ML) will build and migrate data pipelines feeding model training and inference, ensuring parity with the old Databricks setup. This hands-on role operates in a regulated iGaming ...

We are looking to recruit an experienced Data Engineer who has experience working on the Migration of data into im Microsoft Fabric. This will reauire a detailed understanding of SQL Server based BI envorinments. In ...

We are looking to recruit an experienced Data Engineer who has experience working with Microsoft Fabric. Ideally you will also have a experience in a Cloud environment, ideally Azure using ADF and/or Data ...