1 to 25 of 113 Permanent SQL Jobs in Gloucestershire

and analytics within a marketing or media environment. Solid command of digital marketing data, reporting and performance. Familiarity with ATL, Digital and CRM measurement techniques, including econometrics. Proficiency in SQL, Python or R, and data visualisation tools such as Power BI, Tableau, or Looker. Hands-on experience with Google Cloud Platform (GCP) and experience with web and app analytics platforms More ❯

they are delivered in a timely manner. Qualifications Technically able: We're looking for individuals with a strong technical background within the Microsoft BI stack: demonstrable experience working with SQL, Power BI and SSRS. Experienced: We need somebody who can hit the ground running, drawing from a broad experience in data analysis within a business context. If you have experience More ❯

working when possible Must hold active Enhanced DV Clearance (West) Competitive Salary DOE - 6% bonus, 25 days holiday, clearance bonus Experience in Data Pipelines, ETL processing, Data Integration, Apache, SQL/NoSQL Who Are We? Our client is a trusted and growing supplier to the National Security sector, delivering mission-critical solutions that help keep the nation safe, secure, and … Data Engineer Should Have: Active eDV clearance (West) Willingness to work full time on site in Gloucester when required. Required technical experience in the following: Apache Kafka Apache NiFI SQL and noSQL databases (e.g. MongoDB) ETL processing languages such as Groovy, Python or Java To be Considered: Please either apply by clicking online or emailing me directly to . For … I look forward to hearing from you. KEY SKILLS: DATA ENGINEER/DATA ENGINEERING/DEFENCE/NATIONAL SECURITY/DATA STRATEGY/DATA PIPELINES/DATA GOVERNANCE/SQL/NOSQL/APACHE/NIFI/KAFKA/ETL/GLOUCESTER/DV/SECURITY CLEARED/DV CLEARANCE More ❯

version control and documentation using Azure DevOps. You'll develop features within the software using C# (Blazor & WinForms) JavaScript and MAUI. You'll design and implement database structures using SQL and build REST APIs. To be considered, you'll need to be an experienced software developer with strong skills in C#, JavaScript, and Python. Exposure with Azure DevOps and Microsoft More ❯

Cloud Platforms: Experience with Azure, AWS, or Google Cloud for data engineering. Cloud Data Tools: Expertise in Databricks, Snowflake, BigQuery, or Synapse Analytics. Programming & Scripting: Strong knowledge of Python, SQL, Spark, or similar. Data Modelling & Warehousing: Experience with cloud-based data architecture. CI/CD & DevOps: Knowledge of Terraform, GitHub Actions, Docker, Kubernetes. Agile & Collaboration: Ability to work in agile More ❯

AWS, or Google Cloud for data engineering. Cloud-Based Data Tools: Expertise in Databricks, Snowflake, BigQuery, or Synapse Analytics for scalable data solutions. Programming & Scripting: Strong knowledge of Python, SQL, Spark, or equivalent cloud technologies. Data Modelling & Warehousing: Experience with modern cloud-based data architecture and methodologies. CI/CD & DevOps: Understanding of Terraform, GitHub Actions, Docker, Kubernetes in cloud More ❯

include: Use IBM’s Design Thinking to create products that provide a great user experience along with high performance, security, quality, and stability. Work with relational and NoSQL databases (SQL, Postgres, DB2, MongoDB), operating systems (Linux, Windows, iOS, Android), and modern UI frameworks (Backbone.js, AngularJS, React.js, Ember.js, Bootstrap, JQuery). Design, develop, and support high quality and scalable products across … products. Preferred Education Bachelor's Degree Key Responsibilities Required technical and professional expertise Design, develop, and deploy applications on Azure, utilizing services like Azure App Services, Azure Functions, Azure SQL Database, etc. Collaborate with product managers and stakeholders to define, design, and ship new features. Ensure application performance, quality, and security. Work with DevOps to manage, deploy, and monitor Azure More ❯

hands-on solutions to internal clients. Stay updated with technology trends and actively participate in solution delivery. Required Technical Skills: Proficiency in Azure Data Platform (Data Lake, Synapse Analytics, SQL Database, Data Factory). Strong knowledge of Power BI and Microsoft reference architectures. Experience in Data Platform Design and Azure DevOps. Understanding of Azure data integration technologies and Modern Workplace. … Experience with Fabric would be beneficial. Other Experience: Deploying Azure solutions using CI/CD pipelines. Data integration, analysis, modelling, cleansing, and enrichment. Working with remote teams. Proficiency in SQL and Python. Knowledge of Data Governance, including MDM and Data Quality tools. Please note that if you are NOT a passport holder of the country for the vacancy you might More ❯

or Azure) Experience with DevOps & automation tools like Jenkins, GitLab, Docker, OpenShift, or Kubernetes. Proven experience in designing, developing & deploying scalable backend systems. Knowledge of database technologies such as SQL, Elasticsearch, or MongoDB Security Clearance: You must hold eDV UK government clearance Ready to take on a role where your work truly matters? Apply now and be part of a More ❯

external customers of development work. Your Experience: Languages: Java, JavaScript, C++ or Python. Cloud-based architectures: AWS or Azure. DevOps Automated Deployment: Jenkins, Docker, OpenShift or Kubernetes. Database Technologies: SQL, Elasticsearch or MongoDB. Testing Technologies: Cypress, Selenium or Cucumber. Your Future Team: “My purpose; to lead a team of software engineers with the brightest minds, to push the boundaries and More ❯

in Computer Science, Information Systems, or a related field. 5+ years of experience in building data pipelines, models and maintaining Data Warehouses for reporting and analytics. Strong skills in SQL, Python, problem-solving and data analysis. Deep Experience with Snowflake and AWS Deep Experience with dbt. Excellent communication and collaboration skills. An eagerness to learn and collaborate with others, learn More ❯

. ESSENTIAL SKILL SET Expertise using Java, JavaScript, C++ or Python Experience using Cloud-based architecture, AWS or Azure DevOps Automated Tools, Jenkins, Docker, OpenShift or Kubernetes Experience using SQL, MongoDB or Elasticsearch Experience using Testing technologies TO BE CONSIDERED Please either apply through this advert or email me directly via lewis.hayward@searchability.com . For further information, call me on More ❯

solutions for use across other Nexbotix clients. Technical Development & Support o Design, build, and maintain full-stack applications (ASP.NET, .NET Core, React/Blazor) and Azure-based solutions (Functions, SQL, Storage). o Investigate and resolve complex technical issues, manage escalations, and support customer-managed service environments. o Develop using modern RPA tools like Robot Framework and Python o Be More ❯

demanding and diverse projects. Requirements Experience leading on data science projects Experience working on cloud-based infrastructure e.g. Azure, AWS, GCP Extensive coding skills in such as Python and SQL Experience working with various forms of data (e.g. structured, unstructured; text, time-series and image) and appropriately modelling these Experience with various statistical-based techniques to uncover data insight Experience More ❯

accuracy, seamless integration, and the ability to transform complex data into meaningful insights. Responsibilities: Data Migration: Plan, execute, and manage data migration projects from diverse data sources (Dynamics 365, SQL, Oracle, Excel, etc.) to Microsoft DataVerse. Develop and implement data migration strategies ensuring data integrity, accuracy, and security. Troubleshoot and resolve data migration issues, optimising the process for efficiency. DataVerse More ❯

base of £85,000 + a strong benefits package and flexible working. The ideal Data Engineering Manager will come from a data engineering background and have strong knowledge in SQL, Snowflake, Microsoft Azure, Azure Data Factory and Azure DevOps. The Engineering Manager will design, improve and maintain robust data pipelines within data architecture. To be considered for this role you … will need the following: Online job hunting tools Experience designing, improving and maintaining robust data pipelines Strong SQL programming skills. Knowledge of other programming languages such as Python, C++ and Java beneficial Possesses a strong understanding of Snowflake - beneficial Experience managing small teams of Data Engineers Strong experience working in a cloud environment and knowledge in the following very beneficial More ❯

working when possible Must hold active Enhanced DV Clearance (West) Competitive Salary DOE - 6% bonus, 25 days holiday, clearance bonus Experience in Data Pipelines, ETL processing, Data Integration, Apache, SQL/NoSQL Who Are We? Our client is a trusted and growing supplier to the National Security sector, delivering mission-critical solutions that help keep the nation safe, secure, and … maintain optimal operation. The Data Engineer Should Have: Active eDV clearance (West) Willingness to work full-time on-site in Gloucester when required. Required technical experience in the following: SQL and noSQL databases (e.g. MongoDB) ETL processing languages such as Groovy, Python or Java To be Considered: Please either apply by clicking online or emailing me directly to henry.clay-davies … I look forward to hearing from you. KEY SKILLS: DATA ENGINEER/DATA ENGINEERING/DEFENCE/NATIONAL SECURITY/DATA STRATEGY/DATA PIPELINES/DATA GOVERNANCE/SQL/NOSQL/APACHE/NIFI/KAFKA/ETL/GLOUCESTER/DV/SECURITY CLEARED/DV CLEARANCE Seniority level Seniority level Not Applicable Employment type Employment type More ❯

knowledge of Java and Perl Excellent knowledge of Python Ability to learn new programming languages and technologies as necessary Ability to produce reliable and well tested code Knowledgeable with SQL databases Good systems and software engineering skills Good knowledge of computer networking technologies (TCP, IPv4/IPv6, HTTP, DNS, etc..) Good knowledge of Linux and experience with virtualisation and containerisation More ❯

on in everything from modelling and scripting to permissions and performance tuning What we’re looking for: 8+ years of experience in data engineering, with deep technical expertise across SQL, Snowflake, Azure, DBT , and Power BI Strong Python skills and experience integrating third-party systems via APIs A confident communicator who can bridge technical and non-technical teams Proven ability More ❯

solid understanding of customer databases and CRM journey logic Exceptional time management skills and the ability to juggle multiple priorities You’ll stand out if you’ve worked with: SQL (Stored Procedures, SSMS), SSIS Cloud technologies like Snowflake and AWS Glue REST APIs and data integration strategies Campaign platforms like Acoustic, DotDigital, Salesforce Marketing Cloud Analytics and automation platforms such More ❯

and timeliness. Ensure security and cost-effectiveness of operations through thoughtful oversight. Required Experience Proven experience in large-scale data/content operations and platform engineering. Expertise in Microsoft SQL Server, including: Database design and performance tuning Transact-SQL (T-SQL), C# REST API integration Familiarity with Data Lakehouse architectures, especially Databricks. Strong understanding of data architecture, domain modeling, and More ❯

and timeliness. Ensure security and cost-effectiveness of operations through thoughtful oversight. Required Experience Proven experience in large-scale data/content operations and platform engineering. Expertise in Microsoft SQL Server, including: Database design and performance tuning Transact-SQL (T-SQL), C# REST API integration Familiarity with Data Lakehouse architectures, especially Databricks. Strong understanding of data architecture, domain modeling, and More ❯

for heterogeneous sources like EBS/Siebel/Taleo/Fusion Cloud. The functional modules should cover Financials, Manufacturing, Supply Chain, Procurement and Spend, Sales, etc. Proficiency in Oracle SQL, PL/SQL, and data modelling concepts. Have experience and in-depth understanding of Data Model and Business process functionality and its data flow in Oracle Business Intelligence Applications #J More ❯

modern technologies. Bachelor’s degree in Computer Science, Engineering, or related field—or equivalent industry experience in lieu of a degree. Hands-on experience with .NET, Java, APIs, microservices, SQL/NoSQL databases, and CI/CD pipelines; strong understanding of cloud/on-prem infrastructure, firewalls, and security protocols. Proven experience delivering projects involving ECM, RPA (e.g., UIPath, AutoIT More ❯

and small group coaching sessions to support Data Engineer apprentices across a variety of industries Provide technical mentoring in core Data Engineering tools, techniques, and methodologies — including Python, SQL, ETL pipelines, data warehousing, cloud platforms, and version control Offer pastoral support, helping learners stay on track and fully motivated throughout their programme Support learners in building confidence and developing practical … in Data Engineering (open to professionals from various data eng. backgrounds — data pipelines, ML Eng, data warehousing, analytics engineering, big data, cloud etc.) Technical Exposure: Experience with tools like SQL, Python, Apache Spark, Kafka, Cloud platforms (AWS/GCP/Azure), and modern data stack technologies Formal or Informal Coaching Experience: Any previous coaching, mentoring, or training experience — formal or More ❯