1 to 25 of 752 SQL Jobs in the South East

Job Role : Database Analyst (SQL) • Job Type : Permanent • Location : London, UK • Work Mode : Hybrid (2-3 days onsite in a week) Job Description : Tech Stack & Languages • Tech Stack: SQL, PL/SQL, ETL, • Data Warehousing • Languages: SQL, Python, R Relevant Technologies & Tools • Core Technologies: SQL, PL/SQL, ETL, Data Warehousing • Databases: SQL Server, Oracle, MS Fabric • Data Visualization: Tableau … Power BI • Additional Tools: Kafka, Snowflake Must-Have Qualifications • SQL Server • PL/SQL • Data Warehousing • Tableau/Power BI Nice-to-Have Qualifications • Snowflake • Hadoop • Experience with cloud databases (AWS RDS, Azure SQL) Requirements Tech Stack & Languages • Tech Stack: SQL, PL/SQL, ETL, • Data Warehousing • Languages: SQL, Python, R Relevant Technologies & Tools • Core Technologies: SQL, PL/SQL … ETL, Data Warehousing • Databases: SQL Server, Oracle, MS Fabric • Data Visualization: Tableau, Power BI • Additional Tools: Kafka, Snowflake More ❯

cloud platforms (e.g., AWS, Azure, GCP) is highly desirable and increasingly standard in the industry. Skills set and Core Competencies Required for Role: Programming & Data: Strong proficiency in Python, SQL, and Postgres (or equivalent RDBMS) for data engineering and analytics. DevOps: Skilled in building, deploying, and maintaining containerised applications using Docker and Kubernetes; experience with infrastructure as code (e.g., Terraform More ❯

as regression, classification, clustering, or time-series forecasting. Proficiency in Python and experience with data science libraries (e.g., Pandas, NumPy, scikit-learn, XGBoost, PyTorch, TensorFlow). Strong experience with SQL and data manipulation across large datasets. Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Plotly, Tableau, or Power BI). Exposure to modern collaborative data platforms (e.g., Databricks, Snowflake, Palantir More ❯

responsibilities will include: Understanding Business Needs: Engage with stakeholders to gather and analyze business requirements. Application Design & Development: Design and program applications using Visual C#.NET, interfacing with Oracle and SQL Server databases. Quality Assurance: Conduct unit testing and ensure quality at every stage of development. Support Existing Applications: Provide ongoing support for current C# and .NET applications, ensuring optimal functionality. … Collaboration: Work closely with the IT department to maintain the environments where applications run. Additional Responsibilities: Define necessary database objects and liaise with SQL and Oracle Database Administrators in London and New York. Create scripts for T-SQL (SQL Server) and PL/SQL (Oracle) to facilitate data analysis. Support the setup of system distribution methods for Citrix and application … with the latest versions of MS .NET Framework and Visual .NET platforms. Who You Are: Proficient in C# and the .NET framework, with a strong understanding of database management (SQL Server & Oracle). A problem-solver who enjoys tackling challenges and finding innovative solutions. A team player who communicates effectively with both technical and non-technical stakeholders. Willing to provide More ❯

quality, utilizing TDD methodologies to ensure code reliability and maintainability. Security Practices: Knowledgeable in cybersecurity practices, including OAuth, OpenID Connect, and secure coding practices. Advanced Database Knowledge: Proficient in SQL and data modelling. SOLID Principles: Proficient in applying SOLID principles for object-oriented programming, ensuring clean, maintainable, and scalable code. Additional Skills (Good to Have): Programming Language: JAVA Containerization and More ❯

software engineering, or a similar role Expertise in developing best practices for data engineering and analytics with a strong background in data modelling including indexing strategies. Strong ability in SQL for data extraction and manipulation, and proficiency in data modelling and data product building in Data Bricks. Developed Azure cloud experience for data storage and processing, considerations made for alternate More ❯

such as Delta Lake and streaming Strong programming skills in Python with experience in software engineering principles, version control, unit testing and CI/CD pipelines Advanced knowledge of SQL and data modelling (dimensional modelling, fact/dimension structures, slowly changing dimensions) Managing and querying data lakes or Lakehouse's Excellent communication skills with the ability to explain complex technical More ❯

a similar senior role Experience in designing and implementing Azure Data solutions using services such as: Microsoft Fabric Azure Synapse Analytics Azure Databricks Azure Data Lake Storage Gen2 Azure SQL Database Azure Data Factory Azure DevOps Azure Stream Analytics Microsoft Power BI Familiar with Azure Purview An understanding of Master Data Management and Data Governance frameworks Familiar with development approaches More ❯

and techniques (e.g., spatial queries, coordinate systems, projections). Experience with geospatial analytics tools such as ArcGIS, QGIS, or similar platforms is a plus. Data Modeling & Querying: Experience with SQL and NoSQL databases, including spatial databases (PostGIS, MongoDB, Elasticsearch), for storing and querying geospatial and big data. Preferred Qualifications: Degree or higher in Computer Science, Geospatial Intelligence, Data Science, or More ❯

tools such as Postman or Swagger to observe behaviour of APIs Technical awareness and experience of a service architected platform Process analysis, data mapping and data analytical skills using SQL, Excel and Power BI Proficiency in designing and implementing data models Strong understanding of BI concepts and tools Must have experience with client-facing applications and digital transformation Experience with More ❯

approach to analysis, documentation, and delivery. Client Focus: Professionalism and empathy when engaging with stakeholders and understanding their needs. Nice to Have Experience/Knowledge ETL/ELT concepts SQL and data querying Data modelling basics Familiarity with cloud platforms (e.g. AWS, Microsoft Azure) Data ethics and governance awareness Benefits We believe in supporting our people both professionally and personally. More ❯

with at least some of the following: API Management, API Gateway, Cognitive Services, Cosmos DB, Azure Service Bus and Azure Kubernetes Service. Containerisation Technology (Docker, Kubernetes, Nginx). Strong SQL Server skillset, including T-SQL. Experience of building solutions incorporating NoSQL Databases such as Redis, MongoDB, AWS DynamoDB, or Azure Cosmos DB. Experience of TDD and Unit Testing Frameworks, such More ❯

degree, or a relevant professional qualification, or equivalent experience Some experience in software engineering using mainstream languages such as Python, Java or .Net (with related technologies) Some experience with SQL, PowerBI would be beneficial Show aptitude and an interest to get involved in a variety of problem solving activities as well as technologies covering varying roles Willingness to continually learn More ❯

data to tell stories, make insight actionable, and influence decisions. Strong understanding of data models and analytics; exposure to predictive modelling and machine learning is a plus. Proficient in SQL and Python, with bonus points for PySpark, SparkSQL, and Git. Skilled in data visualisation with tools such as Tableau or Power BI. Confident writing efficient code and troubleshooting sophisticated queries. More ❯

and stakeholder management. Strong proficiency in Python (or R), with deep experience using modern data science libraries (e.g., Pandas, NumPy, scikit-learn, PyTorch, TensorFlow, Statsmodels). Solid foundation in SQL and data wrangling across large, complex datasets. Hands-on experience with experimentation platforms, data visualization, and dashboarding tools (e.g., Tableau, Power BI, Plotly). Familiarity with cloud-based data platforms More ❯

skills, both written and verbal, to effectively collaborate with team members. Be proficient in development languages such as Java/J2EE, Python, JavaScript, JSP, C/C++, HTML, XML, SQL, Windows, Linux, and .Net. Be familiar with software development methodologies (e.g., Agile, Waterfall). Be knowledgeable about data manipulation languages and data modeling principles. Have the ability and desire to More ❯

of ERP data models (especially Oracle Financials) and integration patterns across platforms. Experience in working with large datasets, complex joins, and performance tuning of queries and reports. Proficient in SQL, data modeling, and preferably some exposure to ETL pipelines. Solid project management skills and the ability to handle multiple reporting workstreams simultaneously. Excellent communication and stakeholder management skills. Desirable Knowledge More ❯

and RESTful API design. Experience with frontend technologies including ReactJS, MobX, and TypeScript. Knowledge of cloud platforms such as AWS, Azure, and Google Cloud. Strong understanding of database technologies (SQL, NoSQL, data modelling). Familiarity with DevOps practices and CI/CD pipelines. Familiarity with tools like Git, GitHub, Jira and Bamboo from Atlassian. Proficiency in testing frameworks such as More ❯

with backend languages and frameworks such as Python, NodeJS, , Django, or Spring Boot. Expertise in at least one cloud platform and its related managed services. Knowledge of both relational SQL and NoSQL database systems. Skills in UX design (e.g., Figma). Knowledge of containerization using Kubernetes and Docker. Experience working with streaming technologies (Kafka). Proven experience developing scalable architectures More ❯

support the build of dashboards based on Microsoft Power BI. Developing R or Python scripts to produce predictive models for use within PowerBI or reporting. Maintenance of Power BI, SQL and related reporting systems, helping to ensure a useful and reliable reporting function for the business. Developing data pipelines from Microsoft Fabric and integration products to exploit and maximise a … BI/Microsoft Analytics solutions, with a good grounding in all associated areas including; development , Enterprise Architecture, Governance, Rollout and Adoption Knowledge or experience ofData Factory, Data Lake, Azure SQL database, Azure SQL Data warehouse, Azure Analysis Services, R Studio, Python, Power Apps or Microsoft Fabric. Considerable technical knowledge or experience in any of the following: Power BI Report Server … or Cloud based Service, or similar visualisation experience. Database including MS-SQL, Oracle Database, Data warehousing, SQL and XML. Microsoft Fabric experience R or Python predictive modelling/classification Experience in building dashboards, reports and cubes using SQL, MDX, DAX, Power Query M Code, Power BI or other visualisation tools. Detailed understanding or experience of how to develop cloud-based More ❯

will likely have: A degree in Finance, Economics, Mathematics, Statistics, or a related field. Confident Excel skills and strong attention to detail. Curiosity about tools such as Power BI, SQL, Python, or R. An interest in how data influences financial performance. Clear communication skills and a collaborative mindset. What’s on Offer Salary of £35,000–£40,000 depending on More ❯

shared engineering standards and best practices across the team. What You'll Need to Succeed Proven experience delivering cloud-based data engineering solutions, ideally with Snowflake. Strong proficiency in SQL, Python, and dbt for transformations and pipeline automation. Practical experience with Snowflake features and RBAC management. Familiarity with ingestion tools (Airbyte, Fivetran, Hevo) and cloud services (AWS preferred). Solid More ❯

and Dataverse . Strong integration skills with Azure Logic Apps , REST/SOAP APIs , and KingswaySoft . Experience with CI/CD , DevOps , and GIT version control. Proficient in SQL , SSIS , and Azure Data Factory (ADF) . Working knowledge of Agile/SCRUM and OWASP principles. Excellent stakeholder management, communication, and problem-solving skills. Desirable Exposure to Copilot and AI More ❯

or Data Architect working with Microsoft Azure. Strong expertise in data modelling, data warehousing, and ETL development. Hands-on experience with Azure Data Factory, Azure Data Lake, and Azure SQL Database. Exposure to big data technologies such as Hadoop, Spark, and Databricks. Experience with Azure Synapse Analytics or Cosmos DB. Familiarity with data governance frameworks (e.g., GDPR, HIPAA). Experience More ❯

at least one of: Python, C++, C#, Java, or JavaScript Curiosity and problem-solving mindset — you love figuring things out Comfortable learning new technologies quickly Bonus: experience with Git, SQL, or personal projects you can show off Why You’ll Love It Here Impact: You’ll write code that ships — not sit on sidelines Growth: Weekly mentoring, technical training, and More ❯