1 to 25 of 63 SQL Jobs in Nottinghamshire

skills. Excellent communications skills with the ability to convey technical solutions to a non-technical audience. Ability to work with legacy systems while driving modernization. Experience and familiarity with SQL, Blazor & Blazor patterns, SignalR, Azure DevOps, PowerShell, Python, MAUI. Experience with database technologies (e.g., MSSQL, MySQL, MongoDB) and ORM frameworks. Experience with cloud services (e.g., Azure, AWS, Google Cloud) and More ❯

JavaScript, and TypeScript Experience with React, Vue.js, or Angular (preferred) PHP knowledge (desirable) Familiarity with cloud services (AWS, GCP, or Azure), Docker, Kubernetes Understanding of CI/CD, DevOps, SQL/NoSQL databases, and modern testing practices Strong communication and problem-solving skills Success measures Timely delivery of high-quality features Growing technical ownership and contributions Positive impact on team More ❯

expertise in ML, AI, and GenAI tools. Key Skills and Experience: 1-3 years of relevant experience delivering parts of the data science lifecycle. Proficiency in Python (or R), SQL, and experience with notebooks, Git workflows, and Power BI. Working knowledge of supervised machine learning (e.g., gradient boosting, logistic regression), evaluation metrics, and experiment design. Exposure to MLOps concepts, cloud More ❯

expertise in ML, AI, and GenAI tools. Key Skills and Experience: 1-3 years of relevant experience delivering parts of the data science lifecycle. Proficiency in Python (or R), SQL, and experience with notebooks, Git workflows, and Power BI. Working knowledge of supervised machine learning (e.g., gradient boosting, logistic regression), evaluation metrics, and experiment design. Exposure to MLOps concepts, cloud More ❯

excellent interpersonal and teamwork abilities, an initiative-driven mindset toward achieving measurable outcomes, and authentic enthusiasm for using technology to address practical problems. Technical environment: .Net Core, C# 6+, SQL/Postgres, Visual Studio, GIT lab, JavaScript/React, CI/CD, AWS Company: This technology company has been developing sustainable energy infrastructure solutions for almost 20 years, currently overseeing More ❯

Profile Degree in relevant subject (Data Science, Statistics, Economics or similar degree) (Essential) 3+ years' experience in the Financial Services Industry (Essential) Proficiency in Excel (Essential) Proficiency in Python, SQL or other programming languages (Essential) Ability to communicate technical insights to non-technical audiences effectively (Essential) Detail-oriented and process-driven with a focus on continuous improvement (Essential) Comfortable working More ❯

Hands-on experience with FDBI, HDL, BIP, OTBI, Snart View, OIC and REST/SOAP APIs. Proven experience in large-scale data migration projects. Expertise in SAL, PL/SQL and Oracle database technologies. Strong knowledge of data governance, data quality frameworks and compliance standards (e.g., GDPR, SOZ). Experience with Oracle SaaS-PaaS integration. Excellent communication and stakeholder management More ❯

and order management. 🔹 Shape the future of warehousing with event-driven systems, microservices, and modern CI/CD pipelines. 💡 What we need: ✅ Strong experience with C# or .NET, Azure, SQL/Oracle and openess to work with Microsoft Dynamics 365 F&O (no prior experience required) 💰 up to £55,000 per annum 📦 Bonus scheme 28 days holiday Pension contribution referral More ❯

interpersonal and teamwork abilities, an initiative-driven mindset toward achieving measurable outcomes, and authentic enthusiasm for using technology to address practical problems. Technical environment: Django, Python 3.8+, PostgreSQL/SQL, PyCharm/VS Code, GitLab, JavaScript/React, CI/CD, AWS, Django REST Framework Company: This technology company has been developing sustainable energy infrastructure solutions for almost 20 years More ❯

usability. Are we the perfect match? Proven experience in a data analytics or credit risk role, ideally within utilities, financial services or other regulated industry Strong coding skills in SQL, Python and PySpark for data extraction, transformation, modeling and forecasting Solid understanding of forecasting techniques, scenario modelling, and regression-based analytics Strong commercial acumen, with the ability to translate complex More ❯

OTBI, BI Publisher, Smart View, Oracle Analytics Cloud. Deep understanding of Fusion subject areas and database structures. Experience in data modeling, metadata and management and KPI Design. Proficiency in SQL, XML and Excel-based reporting tools. Familiarity with Fusion role-based security and data access setups. Strong analytical, communication and documentation skills. Desirable skills/knowledge/experience: An Analytical More ❯

experience in a data engineering role, ideally with practical experience or the ability to upskill in cloud services like Azure, Databricks and ESRI, as well as excellent proven proficiency, SQL and Python. Ideally you would have a familiarity with developing pipelines which support Analysts who use RStudio Power BI and/or GIS. You will have experience or the ability More ❯

modelling tools (Visio, Lucidchart, Miro, Jira, Confluence). Skilled in documenting use cases, user stories, acceptance criteria, and process maps. Familiarity with data governance, security, integration principles, and basic SQL/reporting for validation. Core Strengths Analytical Thinking: Clarifies complex requirements using structured approaches. Stakeholder Management: Builds consensus across multi-level teams. Business Acumen: Understands finance, HR, and operational workflows. More ❯

data science solutions in a commercial setting. Proven ability to lead projects independently and drive results. Strong expertise in machine learning, predictive modelling, and AI. Proficient in Python, R, SQL; experience with Power BI or similar tools. Exposure to Gen AI tools or techniques is a strong plus. Excellent stakeholder engagement and communication skills. Degree (2:1 or above) in More ❯

communication skills. High attention to detail and commitment to quality. Ability to work independently and collaboratively in agile or waterfall environments. Desirable: Experience testing APIs (Postman). Familiarity with SQL and database validation. Exposure to automation tools (Selenium, Cypress). ISTQB Foundation Level certification or equivalent. Why Join Buzz Bingo? A relaxed, collaborative environment with a high degree of autonomy. More ❯

Develop, coach and mentor juniors on the team, supporting their professional growth. What you’ll bring to the role and MHR Expertise in Java & Jakarta EE Strong experience in SQL databases Solid understanding of microservices, REST APIs, and cloud platforms Azure Experience with Agile methodologies (SCRUM), test-driven development (TDD), and CI/CD pipelines. Knowledge of clean code principles 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 ❯

expertise in Terraform, configuring cloud environments using Infrastructure as Code (IaC). Knowledge of event-driven architectures and caching solutions such as Redis. Hands-on experience with NoSQL/SQL databases and REST APIs in a microservices architecture A pragmatic, delivery-focused attitude, with the ability to guide technical decisions and align with business objectives. Familiarity with Agile methodologies and More ❯

customer service software deployment and configuration. Expert proficiency in Sprinklr Modern Care (or similar CCaaS platforms such as Genesys, NICE, Avaya). Strong scripting and development skills (HTML, JavaScript, SQL, CSS). Proven experience integrating Sprinklr with CRM, ticketing, and marketing cloud systems. Deep understanding of social media platforms (Facebook, Twitter, Instagram, YouTube) and engagement workflows. Strong project management expertise More ❯

will specialise in the commercial or operational sphere of the business Key Skills: Ability to work independently and to prioritise workload Confident use of Excel and some knowledge of SQL and or python Strong numeracy and analytical skills Good written and verbal communication skills Desired Qualifications: Educated to Degree Level with evidence of ability in Maths and an affinity with More ❯

data warehousing and modelling. Proficiency in C#, Python, Java, or Scala . Hands-on experience with ETL tools (e.g., SSIS) and orchestration tools (e.g., Azure Data Factory). Strong SQL skills and experience with relational databases (MSSQL, PostgreSQL, MySQL). Familiarity with Azure services (Fabric, Azure SQL, Synapse Analytics, Blob Storage) and hybrid cloud/on-prem solutions. Understanding of 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 ❯