1 to 25 of 32 DemandTrendPermanent SQL Jobs in Somerset

Joining the out-of-core hours support rota. What are we looking for? What essential skills do I need? Understanding of ERP systems and their role in business operations. SQL and relational database knowledge. Excellent teamwork and communication skills. Desirable Skills: Experience with Microsoft Dynamics NAV and/or Dynamics 365 Business Central. Familiarity with source control tools (e.g., Git More ❯

experience and strength in data visualisation and storytelling - able to communicate complexity in a straightforward and visually engaging manner, creating a compelling narrative. - Proficiency in analytical tools such as SQL, Python, R. - Proficiency in data visualisation platforms (e.g. Tableau or Power BI). - Excellent communication and presentation skills, confident verbally and in writing. - Strong relationship management skills, able to build More ❯

Experience in a workplace of using digital analysis tools including Adobe Analytics/Amplitude/GA4 Expert in data manipulation and analysis to provide actionable insights. Strong experience with SQL is a requirement, use of notebooks/python would be desirable Prior experience using data visualisation tools such as PowerBI, Tableau, Looker etc. Proficient at prioritising workloads effectively and using More ❯

Front-End Development (e.g., HTML, CSS, JavaScript, React, Angular, Vue.js) Back-End Development (e.g., Node.js, Python/Django/Flask, Java/Spring, Ruby on Rails) Database Management (e.g., SQL, NoSQL, PostgreSQL, MongoDB) Version Control (e.g., Git, GitHub) API Development and Integration (RESTful APIs) Data Structures and Algorithms Testing and Debugging Deployment and Cloud Platforms (e.g., AWS, Azure, Google Cloud More ❯

to take place since the birth of the World Wide Web. .NET Developer applicants should have a skill set that encompasses: .NET, .NET Core/ASP.NET MVC, C#, Azure SQL and Agile. Full training will be provided into: .NET 9, Blazor, EF Core, Azure, JavaScript, HTML5, CSS3, Agile, TDD, BDD and MongoDB. Our client offers a truly refreshing working environment More ❯

gather reporting requirements and deliver tailored solutions. Identify opportunities to automate and improve reporting processes. What We’re Looking For: 2+ years in an analytical/reporting role. Strong SQL skills and experience with reporting tools (SSRS, Power BI Report Builder). Familiarity with Tableau and Power BI. Excellent problem-solving skills and attention to detail. Bonus: Experience with Python More ❯

and experience of geoservers, spatial projections, raster and vector manipulation within python and usage of GDAL Experience with AWS and data management tools, including data lake, data warehouse ETL, SQL based storage and PostgreSQL. Ability to design and implement data pipelines and data-related solutions, ideally within a cloud environment Strong ability to document development including database design, application design More ❯

you an edge Experience using Python on Google Cloud Platform for Big Data projects, including BigQuery, DataFlow (Apache Beam), Cloud Run, Cloud Functions, Cloud Workflows, and Cloud Composer. Strong SQL development skills. Proven expertise in data modeling, ETL development, and data warehousing. Knowledge of data management fundamentals and storage principles. Familiarity with statistical models or data mining algorithms and their More ❯

driven. Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu More ❯

driven. Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu More ❯

driven. Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu More ❯

driven. Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu More ❯

driven. Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu More ❯

customise and extend Umbraco CMS platforms to meet unique business requirements Takes pride in software craftsmanship and appreciates clean, well-designed codebases Has experience developing web-based applications with SQL databases Thrives in Agile environments, embracing ceremonies and iterative development Is well-versed in version control systems Possesses excellent communication and collaboration skills Bonus Points For: Experience working with Jira More ❯

you ahead of the curve Experience using Python on Google Cloud Platform for Big Data projects, BigQuery, DataFlow (Apache Beam), Cloud Run Functions, Cloud Run, Cloud Workflows, Cloud Composure SQL development skills Experience using Dataform or dbt Demonstrated strength in data modelling, ETL development, and data warehousing Knowledge of data management fundamentals and data storage principles Familiarity with statistical models More ❯

level providing desktop support to our clients and their users. We support organisations using a variety of cloud (Office 365, Azure, G Suite) and on-prem (Windows, Macs, Exchange, SQL etc ) environments so we will be looking to build-on your existing experience and to teach you some new things along the way. This role will be mostly based in More ❯

Unsupervised Learning) Machine Learning Algorithms (e.g., Regression, Classification, Clustering, Decision Trees, SVMs, Neural Networks) Model Evaluation and Validation Big Data Technologies (e.g., Spark, Hadoop - conceptual understanding) Database Querying (e.g., SQL) Cloud-based Data Platforms (e.g., AWS Sagemaker, Google AI Platform, Azure ML) Ethics in Data Science and AI Person Specification: Experience supporting data science training or mentoring professionals in a More ❯

Support Analyst, you'll be: Supporting their Visualfiles system, developing, maintaining, and optimising workflows and automation within. Creating and managing reports and dashboards using tools such as Power BI, SQL, and Excel. Providing day-to-day IT support across hardware, software, and applications. Managing integrations with third-party tools and platforms. Working closely with colleagues to identify opportunities for process More ❯

solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skill A leadership More ❯

Support Analyst, you'll be: · Supporting their Visualfiles system, developing, maintaining, and optimising workflows and automation within. · Creating and managing reports and dashboards using tools such as Power BI, SQL, and Excel. · Providing day-to-day IT support across hardware, software, and applications. · Managing integrations with third-party tools and platforms. · Working closely with colleagues to identify opportunities for process More ❯

Strong working knowledge of IBM Cognos TM1 and/or IBM Planning Analytics Proven TM1 development expertise e.g. Rules, Feeders, Turbo Integrator (TI) processes, and model design Proficient in SQL, with medium to advanced query-building and data manipulation skills Quick to adapt and learn emerging finance systems and technologies as the firm continues to modernise Solid understanding of financial More ❯

deep learning framework (e.g. TensorFlow, PyTorch) A solid understanding of the full range of data science techniques, including supervised and unsupervised learning, Bayesian methods, NLP, time-series analysis, and SQL querying Ability to scope, design, and lead delivery of innovative data science solutions High level of mathematical and statistical competence Demonstrated ability to lead teams and mentor others, fostering both More ❯

and support of a Java application being migrated from Java 1.4 to Java 1.7. Work on various tiers of a web application, including JSPs, services, and data access. Write SQL scripts for administrative functions. Prepare application-specific documentation such as requirements, design documents, SOPs, and work instructions. Manage documents using a GXP-compliant document management system. Oversee workflow for releases More ❯

workflows, and templates. Deep understanding of NetSuite out-of-the-box functionalities. Knowledge of financial processes such as Accounts Payable, Accounts Receivable, Tax, and Billing. Desirable Skills and Experience SQL proficiency. Experience with accountancy and accounting systems. Familiarity with CRM systems. Please apply for further details on this excellent contract opportunity. More ❯

to large-scale transformations. Ensure best practices through code reviews, automated testing, and DevOps to enhance system resilience. Key Skills & Experience Proven leadership in data engineering or analytics. Advanced SQL skills, Experience in risk management (Market, Credit, Regulatory). Familiarity with risk measures: VAR, CE/PE, PFE. Success in managing multi-terabyte data warehouses. Skilled in data warehousing, ETL … Preferred: Experience with data modelling tools like dbt. Knowledge of orchestration tools and Agile/DevOps practices. Data Analytics Lead | Data Engineering Lead | Risk Reporting Lead | Risk Data Engineering | SQL Expert | Data Warehouse | Financial Risk Analytics | Risk Data Management | Snowflake | SQL Server | SSIS | Power BI | Regulatory Compliance | Market Risk | Credit Risk | Data Team Manager | Data Platform Lead | Data Transformation | Financial More ❯