101 to 125 of 1,269 SQL Jobs in the South East

environments , identify opportunities, and prioritise effectively . Skilled in problem-solving with a discovery-first mindset and a strategic approach to driving results. Proficiency in data analysis tools (e.g., SQL, Python, Tableau, PowerBI, etc.) and ability to interpret and translate complex datasets into actionable insights. Familiarity with technical concepts and proven ability to collaborate effectively with engineering and data science More ❯

and other departments. Very good knowledge in system architecture, software design patterns, and coding standards. Hands-on experience with multiple programming languages and technologies, such as Java, Oracle & Microsoft SQL, Linux, MOCA, Page Builder. Very good analytical and problem-solving skills, with the capability to tackle technical challenges and make informed decisions. Exceptional verbal and written communication skills, with the More ❯

data warehousing, or cloud-based data engineering. Deep technical expertise in the Microsoft ecosystem - Power BI/Fabric, Azure, and Power Platform (Power Apps, Power Automate). Proficiency in SQL and data modelling, with a strong understanding of data governance and performance optimisation. Solid understanding of automation technologies and their application at scale. Experience in Agile delivery environments, balancing quality More ❯

access, documentation, and reproducibility. Desired Skills/Experience 4+ years of experience in data analytics or data engineering. High proficiency in Python (e.g., pandas, NumPy, matplotlib/seaborn) and SQL essential. Hands-on experience with BI tools (ideally Power BI) advantageous Familiarity with cloud-based data platforms (ideally Azure) advantageous. Strong problem-solving skills and attention to detail. Ability to More ❯

Experience with Salesforce integrations (APEX REST APIs, MuleSoft, Data Loader, middleware solutions). Azure Cloud & DevOps Hands-on experience with Azure services (Azure Functions, Logic Apps, API Management, Azure SQL, etc.). Expertise in Azure DevOps, CI/CD pipelines, and Infrastructure as Code (Terraform, ARM templates). Strong understanding of Azure security best practices, identity management (Azure AD), and More ❯

Experience with Salesforce integrations (APEX REST APIs, MuleSoft, Data Loader, middleware solutions). Azure Cloud & DevOps Hands-on experience with Azure services (Azure Functions, Logic Apps, API Management, Azure SQL, etc.). Expertise in Azure DevOps, CI/CD pipelines, and Infrastructure as Code (Terraform, ARM templates). Strong understanding of Azure security best practices, identity management (Azure AD), and More ❯

Experience of Object-Relational Mapping (ORM) frameworks ( e.g., nHibernate, Entity framework); Experience with automated testing frameworks such as NUnit, MSTest, and mocking libraries like Moq or RhinoMocks; Proficient in SQL database development and optimization; Experience with JavaScript front-end development for client-facing applications ( e.g., AJAX,Angular, React.js); Experience with application integration technologies and patterns ( e.g REST APIs) ; Demonstrated experience More ❯

understand their needs and challenges. Skills and experience you need as Senior Data Analyst: Proven experience as a Data Analyst in insurance or financial services, ideally within Claims. Strong SQL skills, experience of using Central Data platforms, data tools such as Excel and Power BI. Experience with Agile delivery methodologies and working in cross-functional squads. Knowledge of SAS and More ❯

complex data challenges, identify solutions and implement effective strategies Strong analytical and quantitative skills, with proficiency in statistical analysis and data visualization tools. Experience with analytics tools such as SQL, Python, and Tableau Excellent communication skills with the ability to convey complex analytical concepts to both technical and non-technical stakeholders Have worked in an agile development environment, with a More ❯

Perm Salary: £65,000 - £75,000 pa Hybrid 3 days per week on site Our client a leading software development company based in Slough, seeking a highly skilled Oracle SQL & PL/SQL Developer with 10+ years of experience to join our dynamic team. This position offers the chance to work on large-scale, complex information systems within a fast … paced environment. Key Requirements: 10+ years of programming experience with Oracle SQL & PL/SQL, particularly in large-scale information systems High proficiency in Oracle SQL & PL/SQL , with a strong focus on writing clean, efficient code A solid understanding of configuration management and issue tracking systems Knowledge of HTML, JavaScript, Java, JSON , and a willingness to learn new More ❯

preferably 21), Spring Boot • Jenkins, GIT and CI/CD • Jira and Confluence • Monitoring/alerting tools and solutions • Scripting or coding with shell/bash, and Python • Standard SQL query language and PLSQL • Agile principles and ways of working • Excellent client-facing communication skills • DevOps mindset • Excellent problem-solving abilities • Automation • Core AWS Services & Infrastructure as Code • Application Performance More ❯

preferably 21), Spring Boot • Jenkins, GIT and CI/CD • Jira and Confluence • Monitoring/alerting tools and solutions • Scripting or coding with shell/bash, and Python • Standard SQL query language and PLSQL • Agile principles and ways of working • Excellent client-facing communication skills • DevOps mindset • Excellent problem-solving abilities • Automation • Core AWS Services & Infrastructure as Code • Application Performance More ❯

or any other ORM Proficient in LINQ query language Knowledge of ASP.NET/.NET MVC/.NET Core/Xamarin Experience writing Unit Tests (BDD, TDD) Good knowledge of SQL queries, stored procedures and triggers Ideally 3-5 years experience within a similar role Desirable: Experience working in a Scrum Team/Agile development process Experience of preparing technical documentation More ❯

analytics, or automation, ideally within financial services, consulting, or a data-heavy technical environment. Strong programming ability in Python (including libraries such as pandas and NumPy ) and proficiency with SQL . Confident working with ETL frameworks , data modelling principles, and modern data tools (Airflow, Kafka, Spark, AWS). Experience working with large, complex datasets from structured, high-quality environments — e.g. More ❯

analytics, or automation, ideally within financial services, consulting, or a data-heavy technical environment. Strong programming ability in Python (including libraries such as pandas and NumPy ) and proficiency with SQL . Confident working with ETL frameworks , data modelling principles, and modern data tools (Airflow, Kafka, Spark, AWS). Experience working with large, complex datasets from structured, high-quality environments — e.g. More ❯

analytics, or automation, ideally within financial services, consulting, or a data-heavy technical environment. Strong programming ability in Python (including libraries such as pandas and NumPy ) and proficiency with SQL . Confident working with ETL frameworks , data modelling principles, and modern data tools (Airflow, Kafka, Spark, AWS). Experience working with large, complex datasets from structured, high-quality environments — e.g. More ❯

team to understand data requirements Implement data quality checks and validation processes to ensure data integrity Participate in architecture decisions and contribute to technical roadmap planning Technical Skills: Great SQL skills with experience in complex query optimization Strong Python programming skills with experience in data processing libraries (pandas, NumPy, Apache Spark) Hands-on experience building and maintaining data ingestion pipelines More ❯

team to understand data requirements Implement data quality checks and validation processes to ensure data integrity Participate in architecture decisions and contribute to technical roadmap planning Technical Skills: Great SQL skills with experience in complex query optimization Strong Python programming skills with experience in data processing libraries (pandas, NumPy, Apache Spark) Hands-on experience building and maintaining data ingestion pipelines More ❯

team to understand data requirements Implement data quality checks and validation processes to ensure data integrity Participate in architecture decisions and contribute to technical roadmap planning Technical Skills: Great SQL skills with experience in complex query optimization Strong Python programming skills with experience in data processing libraries (pandas, NumPy, Apache Spark) Hands-on experience building and maintaining data ingestion pipelines More ❯

re Looking For Active DV clearance (essential) Strong background in data engineering, ETL, and data pipeline development Experience with AWS or Azure cloud technologies Excellent coding skills in Python, SQL, or Scala Understanding of data warehousing, modelling, and streaming technologies Confident working in agile, fast-paced technical teams Locations London - (Hybrid model – typically 3 days per week on site) Salary More ❯

a Data Engineer, ideally in a pharmaceutical, biotech, or regulated manufacturing environment. Strong hands-on experience with: Snowflake (architecture, performance tuning, cost optimisation) DBT (model development, testing, documentation, deployment) SQL (advanced query optimisation and debugging) Experience with data integration and orchestration tools (Airflow, Dagster, Prefect, or similar). Familiarity with cloud data platforms (AWS, Azure, or GCP). Contract: Initial More ❯

a development environment Proven experience with Selenium and writing automated scripts in Java or Python Strong understanding of structured software testing and development lifecycles Hands-on experience with MS SQL, ASP.Net and C# test environments Excellent communication, problem-solving and collaboration skills Desirable: Experience with Visual Studio IDE, Azure DevOps, GitHub or cloud-based testing technologies, plus strong awareness of More ❯

in data architecture, ideally in customer-centric domains such as CRM, CDP, or marketing analytics. Strong knowledge of cloud platforms (Azure, GCP), data warehousing, and ETL tools. Proficiency in SQL, Python, and data modelling techniques. Experience with customer data platforms (e.g., Salesforce CDP, Redpoint), MDM, and real-time data processing. Understanding of data privacy, consent management, and regulatory compliance. Excellent More ❯

in data, analytics, and technology, with a desire to develop a career in this exciting and fast-evolving field. A basic understanding of programming languages such as Python or SQL will be advantageous, together with good problem-solving and analytical skills.You will be an effective communicator with strong teamwork abilities, capable of engaging with colleagues and managers across the business. More ❯

Excel Power BI, Tableau or Python-based analytics. Familiarity with Python or R for data manipulation and reporting, and an understanding of data governance or reporting frameworks Knowledge of SQL databases or similar querying tools would be a real advantage A proactive, self-motivated approach and a genuine enthusiasm for working collaboratively to deliver great results Flexibility to occasionally work More ❯