1 to 25 of 28 Remote/Hybrid Databricks Jobs in the North of England

modern data engineering frameworks. Experience deploying machine learning models into production. Strong knowledge of cloud platforms such as Azure, AWS or GCP. Experience with Databricks, Snowflake or similar data platforms. Knowledge of Infrastructure as Code tools such as Terraform. Experience with Kubernetes, Docker and CI/CD pipelines. Strong understanding ...

Understanding of databases, data modelling, and ETL/ELT concepts. Interest in cloud data technologies and modern data platforms. Exposure to Azure, Microsoft Fabric, Databricks, Data Factory, or similar technologies would be advantageous. Strong analytical, problem-solving, and communication skills. What's on Offer Opportunity for graduates and junior-level ...

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 ...

Essential Confident with SQL for querying, exploring and shaping data Working knowledge of at least one cloud data platform (for example Snowflake, BigQuery, Redshift, Databricks or Azure Synapse) A good understanding of the data lifecycle: ingestion, transformation (ETL or ELT), modelling and getting data into a usable state Able ...

Azure or GCP also considered) * Experience with Docker, Kubernetes and CI/CD tools * Familiarity with Infrastructure as Code, ideally Terraform Desirable * Experience with Databricks, Snowflake or BigQuery * Cloud certifications (AWS, Azure or GCP) * Experience mentoring junior engineers or working in a consulting environment This is an excellent opportunity ...

integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery ...

experience on a modern data stack. Strong SQL and hands-on experience with a modern cloud data warehouse (Snowflake preferred; BigQuery, Redshift, Synapse or Databricks considered). Hands-on dbt experience – building and testing models. Experience with an ELT tool such as Fivetran (or equivalent). Working knowledge of Azure ...

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 ...

modern MLOps practices including CI/CD, version control (Git) and infrastructure automation Experience working with cloud platforms and modern data ecosystems (Azure and Databricks experience beneficial) Strong understanding of machine learning principles and model deployment processes Excellent communication skills with the ability to explain technical concepts to non-technical ...

teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search ...

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. ...

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. ...

strong partnerships with AWS,Azureand GCP.We'reinterested to hear fromDataArchitects with experience acrossthe majority ofleading vendors including Azure, AWS, Google Cloud Platform,Databricks, Snowflakeand more. Additional information Please note that the interview stages may be subject to change based on the specific requirements of the role. Quick call with ...

teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search ...

modern BI tool (e.g. Tableau, Omni, Looker, Power BI) and strong SQL is essential. Desirable skills: · Ideally has experience with the tech stack (Tableau, Databricks, Snowflake, dbt ). · Exposure to AI-assisted development or analytics tools (e.g. Claude, Copilot) is a plus. · Degree or Masters in a numerate subject such ...

Trees, Random Forests, Neural Nets and Clustering Experience in DevOps and Azure ML, or other MLOps and ML Lifecycle technology stacks, such as AWS, Databricks, Google Cloud, etc. Experience with deploying services in Docker and Kubernetes Experience in creating production grade coding and SOLID programming principles, including test-driven development ...

experience (e.g. Power Platform, UiPath, Blue Prism, Automation Anywhere) - AI knowledge including LLMs, Copilots, and Microsoft AI ecosystem - Data platform experience (e.g. Microsoft Fabric, Databricks) - Broad enterprise technology exposure (ServiceNow, CRM, ERP, EUC, infrastructure, cloud) - Solid understanding of Azure and cyber security frameworks (SIEM, XDR, NIST, ISO27001 - Resource must ...

production environments, platform operations and continuous improvements. Build Infrastructure as Code using Terraform and automation tooling. Develop solutions using Azure services including Data Factory, Databricks and Data Lake. Improve platform reliability, scalability, security and cloud cost optimisation. Work closely with engineering teams to onboard new enterprise data sources. Contribute … looking for candidates with experience across several of the following technologies: Cloud & Infrastructure Microsoft Azure Azure Active Directory (Azure AD) Azure Data Factory Azure Databricks Azure Data Lake Azure Storage Azure Functions Azure Monitor Azure Logic Apps Kubernetes Azure DevOps Programming & Automation Python PowerShell Bash Terraform SQL Kusto Query Language ...

Title: Analytics Engineer Location: Manchester (Hybrid, 2-3 days per week in the office) Salary: £60,000 - £80,000 DOE Industry: Financial Services The Opportunity I'm currently working with a growing financial services organisation ...

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 ...

data from multiple source systems. Build and optimise data warehouse structures that support reporting, insights, and AI use cases. Develop scalable data solutions using Databricks, SQL, Python, and Azure data technologies. Create and maintain high-quality datasets, semantic models, and data products for Power BI reporting and self-service analytics. … skills and experience working with large and complex datasets. Experience building and maintaining data pipelines and ETL/ELT processes. Hands-on experience with Databricks for data engineering and transformation workloads. Proficiency in Python for data cleansing, transformation, automation, and analytics workflows. Experience designing and supporting enterprise data warehouse solutions. ...

engineering, technical ownership and stakeholder engagement. The ideal candidate will have expert SQL skills, extensive MS SQL Server experience and strong knowledge of Databricks and Azure Data Factory. You must also have practical experience delivering data solutions across both Azure and AWS environments. This is a fantastic opportunity to take … supporting a Microsoft-based enterprise data lake Designing and maintaining MS SQL databases and related data systems Building ETL and data transformation solutions using Databricks and Azure Data Factory Developing cloud-based data solutions across Azure and AWS Ensuring the quality, integrity and reliability of complex datasets Working closely with ...

technology leadership, you'll define the architectural vision while driving the implementation of a modern Lakehouse and Data Warehouse environment built on Microsoft and Databricks technologies. Responsibilities: Designing enterprise-scale data warehouse and Lakehouse architectures Developing data platform strategies using Microsoft Fabric OneLake and Databricks Building scalable data models … translate strategic objectives into technical solutions Requirements: Enterprise data warehouse architecture and design Microsoft Fabric, Azure Data Platform technologies and modern Lakehouse architectures Databricks, Unity Catalog and Delta Lake PySpark, Databricks, SQL Medallion Architecture implementation Data modelling approaches including Star Schema and Data Vault Data governance, security and access management ...

technology leadership, you'll define the architectural vision while driving the implementation of a modern Lakehouse and Data Warehouse environment built on Microsoft and Databricks technologies. Responsibilities: Designing enterprise-scale data warehouse and Lakehouse architectures Developing data platform strategies using Microsoft Fabric OneLake and Databricks Building scalable data models … translate strategic objectives into technical solutions Requirements: Enterprise data warehouse architecture and design Microsoft Fabric, Azure Data Platform technologies and modern Lakehouse architectures Databricks, Unity Catalog and Delta Lake PySpark, Databricks, SQL Medallion Architecture implementation Data modelling approaches including Star Schema and Data Vault Data governance, security and access management ...

Senior Quantexa Data Engineer - Manchester/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 ...