1 to 25 of 100 Workflow Jobs in the North of England

Strong analytical and problem-solving skills to tackle complex security challenges. Exposure to data analytics tools like Splunk and Power BI. Essential Skills: Excellent workflow management, communication, and interpersonal abilities. Experience with EPM Cloud Migration (this role focuses on EPM, not IAM ). Ability to create clear and effective documentation ...

based pipelines. Data Integration & Gen BI Integrate Power BI with Co pilot Studio and prepare models for AI agent consumption. Build workflow automation using Power Automate. Power BI Service Administration Manage datasets, workspaces, refresh schedules, usage monitoring, and performance optimisation. Stakeholder Engagement & Documentation Gather business requirements and translate them into ...

data engineering Hands-on experience working with GCP (BigQuery) and/or Microsoft Fabric (Synapse/OneLake) Experience building and managing data pipelines and workflow orchestration tools (e.g. Airflow, Data Factory) A solid understanding of data modelling (e.g. star schemas, SCD) and governance principles Experience implementing data quality testing ...

maintaining SQL queries, stored procedures, and scheduled jobs Investigating and resolving data-related issues Updating and maintaining HTML templates for automated communications Assisting with workflow improvements and service optimisation Contributing to documentation, version control, and best practices Participating in team meetings, code reviews, and training sessions Supporting testing and quality ...

PostgreSQL or Microsoft SQL Server Experience working with NoSQL technologies such as DynamoDB, MongoDB or similar Hands-on Kafka (or equivalent streaming) and workflow orchestration (Airflow) experience Strong understanding of data architecture patterns including data lakes, warehouses and event-driven architectures Experience of consulting across Agile delivery environments, implementing data ...

experience building scalable, reusable frameworks Deep understanding of lakehouse and medallion architectures Experience with data pipeline tools (e.g. DataFactory, Dataflow/Apache Beam) and workflow orchestration A track record of delivering cloud cost optimisation (FinOps) and managing large-scale data environments Strong knowledge of data governance, data lineage, and cataloguing ...

with company policies and budgetary control. Oversee and manage the operational planning and delivery of company events, charity initiatives, wellbeing programs, and exhibitions. Systems & Workflow Management Oversee, own, and optimise core operational tools including Basecamp and HubSpot. Ensure operational visibility, accountability, and effective cross-team collaboration through tools such ...

Responsibilities: Keep the platform stable while decommissioning work is planned. Respond quickly to production, security and compliance tickets. Perform routine maintenance, small upgrades and workflow fixes. Collaborate in Agile ceremonies and actively engage with the team. Must Have Skills: Hands-on experience with Cloudera Data Platform ...

vital healthcare platforms, gaining hands-on IAM experience with Microsoft Entra ID and AWS IAM Resolve login and access issues that could delay workflow Configure and support cloud services across Amazon Web Services and Microsoft Azure Automate access management tasks using scripting tools like Python, PowerShell, or Terraform Troubleshoot imaging ...

including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks ...

including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks ...

including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks ...

including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks ...

operational problems. Design and test AI-enabled improvements Working closely with product owners, service desk SMEs, and delivery teams, you will: Develop AI-driven workflow improvements (prompts, suggestions, automation patterns). Prototype simple AI agents or copilots that support service workflows. Ensure solutions align with governance, security, and permission models. ...

Familiarity with GitHub workflows and a passion for open-source development. AI-Assisted Development: Proficiency using AI development tools as part of the engineering workflow, with curiosity for exploring new tools and improving how the team works. Communication: Strong communication and interpersonal skills, with the ability to convey technical information ...

practices. Support learners across an extended transformation journey, guiding them through real-world activities such as Copilot deployment, semantic indexing, data governance, and AI workflow automation. Coach staff in critical skills such as prompt engineering, AI risk mitigation, ethical considerations, and change leadership to ensure responsible, scalable adoption. Align learning ...

Waterfall environments Knowledge of CRM platforms (Salesforce experience a plus) Nice to have Experience with Power BI or reporting tools Exposure to data integrations, workflow automation, or SQL Familiarity with SharePoint or enterprise collaboration tools Experience in engineering, manufacturing or regulated industries Additional information Flexible working with occasional ...

driven and canvas Power Apps. Solid capability in developing Power Automate flows, including integrations, approvals, and automated business processes. Good understanding of process design, workflow logic, and automation principles. Early experience with C#, JavaScript, Dataverse, or Microsoft cloud technologies. Experience working within both Agile and Waterfall delivery environments, including participation ...

governance standards across all BI assets Monitor and improve dataset performance, refresh reliability, and access controls Support integration with enterprise tools (e.g. ServiceNow ) and workflow automation via Power Automate Collaborate with stakeholders to gather requirements and translate into scalable BI solutions Document data models, business logic, and reporting frameworks Contribute ...

data modelling, dimensional design, and ETL development. Proficiency in Power BI for data visualisation and reporting. Experience with Power Automate for process automation and workflow integration. Excellent problem-solving skills and the ability to work independently or in a team. Modis International Ltd acts as an employment agency for permanent ...

Python, with solid exposure to AWS or other cloud-based data tools. Familiarity with version control systems such as Git and workflow/orchestration tools such as Airflow. Proven ability to test and troubleshoot data systems, with a track record of improving reliability and accuracy. Excellent communication skills, with ...

including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks ...

including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks ...

including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks ...

including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks ...