276 to 300 of 4,786 Permanent SQL Jobs

Develop and maintain complex web applications using full-stack development technologies. Collaborate with other developers to build and maintain REST APIs. Build and maintain robust, scalable, and high-performance SQL stored procedures. Optimise database performance through query optimisation, indexing, and other techniques. Design and implement database schemas and data models to support software solutions. Ensure the security, availability, and reliability … with emerging trends in full-stack development and database technologies. Requirements: A minimum of 4-5 years commercial software development experience. A keen interest in database technologies, primarily Microsoft SQL Server. Very good knowledge of SQL, including stored procedures and query optimisation. Knowledge of C#. Knowledge of Javascript. Understanding of version control tools such as SVN. Familiarity with Agile methodologies More ❯

Friday 8:00am- 5:00pm Qualifications: Minimum 3 years of experience using databases to extract, summarize, and analyze information. Strong technical skills to query and analyze customer databases using SQL or Python. Experience with BI visualization tools and technologies such as Power BI & Business Objects. Understanding of database management systems (Teradata, SQL Server, Big Data) and ETL (Extract, transform, load More ❯

replication, disaster recovery, and seamless integration within our cloud-native microservice ecosystem. Responsibilities: Design & Develop Database Solutions: Architect, design, and implement highly optimized relational (e.g., MySQL, PostgreSQL, AWS Aurora, SQL Server) and NoSQL (e.g., MongoDB, DynamoDB, Redis) database schemas, ensuring data integrity, performance, and scalability for microservices. Performance Optimization & Tuning: Proactively analyze and optimize complex queries, implement efficient indexing strategies … Skills/Experience: 6+ years in roles directly responsible for the availability, performance, and security of critical databases. Expertise in Database Technologies: Strong command of MySQL, PostgreSQL, AWS Aurora, SQL Server and experience with MongoDB, DynamoDB, or Redis, including schema design and complex query writing. Database Performance & Scalability: Proven ability in query optimization (e.g., EXPLAIN plans), operating system optimization, advanced … and implementing partitioning/sharding and caching (Redis). Cloud Database Operations: Hands-on experience deploying, managing, and optimizing databases within AWS infrastructure (RDS, Aurora) and virtual machine infrastructure (SQL Server). Database Reliability & Security: Experience with high availability (replication, failover), backup automation, PITR, and data security (encryption, SQL injection prevention). Automation & DevOps: Proficiency in integrating database changes into More ❯

procedural standards, and management goals and objectives. Performs other duties as assigned to maintain operations.Required Skills: Java JSP/HTML/CSS/JavaScript/Bootstrap 2.0 Proficiency in SQL, DDL, DML, and Stored Procedures Experience with Spring MVC, Spring Boot, and Spring Batch Knowledge of Web API development (SOAP, REST, XML, JSON; REST preferred) Familiarity with Service-Oriented Architecture … SOA) concepts and technologies Experience with MS Azure Cloud technologies (Java on Azure, Azure SQL Server, JBOSS EAP on Azure) Working knowledge of scripting and batch processing in both legacy and modern technologies Experience in building WCAG-compliant web applications Strong understanding of Software Development Life Cycle (SDLC) principles and application programming techniques Ability to test software applications using a More ❯

you will collaborate with cross-functional teams to design, develop, and maintain backend systems that power critical systems and services. You will be responsible for writing efficient and optimized SQL queries, designing database schemas, and ensuring data integrity and security. As with any position, additional expectations exist. Some of these are, but are not limited to, adhering to normal working … maintain backend systems using Oracle Database technologies Collaborate with front-end developers and other team members to integrate Oracle databases with various front-end technologies Write and optimize complex SQL queries, stored procedures, and database triggers to support backend applications Perform database tuning, troubleshooting, and optimization to ensure high performance and availability Ensure database security, backups, and data integrity in … to obtain) Bachelor's degree in Computer Science, Information Technology, or a related field 5+ years of experience as an Oracle Backend Developer or similar role Proficient in Oracle SQL, PL/SQL, and Oracle Database administration Strong experience in database design, query optimization, and performance tuning Experience with Oracle Database 12c or higher Familiarity with RESTful APIs and integration More ❯

cloud Troubleshoot and resolve data-related issues promptly to minimise disruption. Collaborate with various teams to align migration processes with organisational goals and regulatory standards. Required Skills Expert-level SQL skills for complex query development, performance tuning, indexing strategies, and data transformation to enable accurate and efficient migration from on-premises databases (SQL Server, Oracle, MySQL, NoSQL) to AWS cloud. … Data Lake, and CloudWatch. Strong knowledge of data extraction, transformation, and loading (ETL) processes, leveraging tools such as Talend, Informatica, Matillion, Pentaho, MuleSoft, Boomi, or scripting languages (Python, PySpark, SQL). Solid understanding of data warehousing and data modelling techniques (Star Schema, Snowflake Schema). Familiarity with security frameworks (GDPR, HIPAA, ISO 27001, NIST, SOX, PII) and AWS security features More ❯

you’re someone who likes to “run it like it’s your own business” , enjoys working across data and application layers, and has a strong background in .NET and SQL Server , we’d love to chat! Why Join Us? This is a high-impact engineering role where you will work with experienced technical leaders and grow into a future technical … lead. You’ll help solve significant scaling challenges and modernise a mission-critical platform using: Core stack: .NET, C#, SQL Server, REST APIs Data engineering tools: Azure Data Factory, DataBricks Cloud: Microsoft Azure (Functions, Logic Apps, Service Bus Serverless) If you love hands-on coding, owning delivery, and mentoring others, this could be the role for you. Key Responsibilities Leadership … mid-level engineers Contribute to engineering standards, design reviews and solution design Opportunity to evolve into a Tech Lead role managing a small engineering squad Engineering & Delivery Develop complex SQL stored procedures, performance-tuned queries, and optimise data models Design and build scalable, secure applications using C# and .NET Build and enhance data pipelines and integrations using Azure Data Factory More ❯

Solutions: Utilize Azure Functions, Service Bus, Logic Apps, Cosmos DB, Key Vault, and API Management (APIM) to deliver robust cloud-native solutions. Database Management: Design efficient schemas, write optimized SQL queries, and ensure data integrity and performance. DevOps & CI/CD: Implement and manage CI/CD pipelines using tools like Azure DevOps or GitHub Actions. Containerization: Deploy and manage … both technical and non-technical audiences. Required Skills & Experience: Core Technology - .NET Core (C#). Cloud Computing - Azure Functions, Service Bus, Logic Apps, Cosmos DB, Key Vault, APIM. Database - SQL, query optimization. API/Web Services - REST API development. DevOps/SRE - CI/CD (Azure DevOps, GitHub Actions), Docker, Kubernetes. Process & Soft Skills - Agile methodology, strong written and verbal More ❯

integration pipelines Complete Data Engineering end-to-end ownership of demand delivery Provide technical guidance for team members Providing 2nd or 3rd level technical support About You Experience using SQL, SQL Server DB, Python & PySpark Experience using Azure Data Factory Experience using Data Bricks and Cloudsmith Data Warehousing Experience Project Management Experience The ability to interact with the operational business More ❯

technical definitions. Advise clients on high-ROI data use cases and develop implementation roadmaps to realise value quickly. Analytics Engineering: Design and build scalable, high-integrity data models using SQL and modern tooling (e.g. dbt). Implement testing to ensure trust and integrity of the data pipelines. Collaborate with the data engineering team on the deployment and maintenance of data … oral. Ability to work confidently with large datasets, understanding relationships, cardinality, and data quality issues. Ability to communicate complex and technical topics in a simple manner. Technical Skills: Advanced SQL skills essential. Experience with visualisation tools, such as Metabase, Tableau, Looker and PowerBi. Knowledge of dbt. Familiarity with data warehouses like BigQuery, Snowflake and Redshift. Knowledge in another programming language More ❯

technical definitions. Advise clients on high-ROI data use cases and develop implementation roadmaps to realise value quickly. Analytics Engineering: Design and build scalable, high-integrity data models using SQL and modern tooling (e.g. dbt). Implement testing to ensure trust and integrity of the data pipelines. Collaborate with the data engineering team on the deployment and maintenance of data … oral. Ability to work confidently with large datasets, understanding relationships, cardinality, and data quality issues. Ability to communicate complex and technical topics in a simple manner. Technical Skills: Advanced SQL skills essential. Experience with visualisation tools, such as Metabase, Tableau, Looker and PowerBi. Knowledge of dbt. Familiarity with data warehouses like BigQuery, Snowflake and Redshift. Knowledge in another programming language More ❯

delivering technical solutions. Strong understanding of enterprise IT solutions and data models, ideally within a manufacturing and distribution environment. Experience with BI tools (SSIS, SSRS, SSAS), Power BI, Azure SQL Data Warehouse, Azure Data Factory. Advanced T-SQL programming and in-depth knowledge of SQL and NoSQL databases. Experience with structured project management methodologies (e.g., AGILE, Kanban, PRINCE2). Python More ❯

on Azure (AKS/ACI/Functions), CI/CD, and Infrastructure as Code (Bicep/Terraform). Data & Information Management Experience with relational/semi structured database (MS SQL and Cosmos DB) and vector search indexing (Azure AI Search/pgvector/Pinecone/Weaviate/Milvus/Qdrant) plus Neo4j or equivalent graph database. Software Engineering & Architecture Solid 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 ❯

developers, fostering a collaborative learning environment. API Development: Design and build RESTful API endpoints using NodeJS and Express, including detailed API documentation. Database Management: Design, optimize, and maintain complex SQL data models, ensuring efficient data structures, query performance, and reliability. Full-Stack Development: Develop responsive and performant front-end applications using ReactJS, focusing on UX/UI best practices. Integration … and Next.JS. Solid experience in building RESTful APIs Leadership: Proven track record of leading development teams and managing large-scale projects. Database Expertise: In-depth experience with PostgreSQL/SQL, including design of complex schemas, writing queries and performance optimisation. Security & Performance: Deep understanding of application security best practices, performance tuning, and scalable architecture. Problem-Solving: Ability to troubleshoot complex More ❯

developers, fostering a collaborative learning environment. API Development: Design and build RESTful API endpoints using NodeJS and Express, including detailed API documentation. Database Management: Design, optimize, and maintain complex SQL data models, ensuring efficient data structures, query performance, and reliability. Full-Stack Development: Develop responsive and performant front-end applications using ReactJS, focusing on UX/UI best practices. Integration … and Next.JS. Solid experience in building RESTful APIs Leadership: Proven track record of leading development teams and managing large-scale projects. Database Expertise: In-depth experience with PostgreSQL/SQL, including design of complex schemas, writing queries and performance optimisation. Security & Performance: Deep understanding of application security best practices, performance tuning, and scalable architecture. Problem-Solving: Ability to troubleshoot complex More ❯

or a data engineer and a strong passion to learn. BS/MS in Computer Science or equivalent experience in related fields. Experience in Python, Pandas, PySpark, and Notebooks. SQL knowledge and experience working with relational databases including schema design, access patterns, query performance optimization, etc. Experience with data pipeline technologies like AWS Glue, Airflow, Kafka, or other cloud based More ❯

on experience collaborating with data engineering teams for data wrangling, cleaning, and transformation to ensure high-quality datasets for modelling. Proficient in programming languages such as Python, R, and SQL for data analysis and model development. Experience working with cloud computing platforms including AWS and Azure, and familiarity with distributed computing frameworks like Hadoop and Spark. Deep understanding of supply More ❯

opportunities and solve data workflow challenges. Manage third-party vendors and consultants; oversee outsourced builds as needed. Core Skill Requirements Power BI : Strong experience building dashboards and data models. SQL : Comfortable writing and optimising queries for complex datasets. Python (or other scripting languages) : Exposure ideal; willingness to learn expected. Excel : Fluent, particularly for modelling and cross-functional reporting. Ability to More ❯

opportunities and solve data workflow challenges. Manage third-party vendors and consultants; oversee outsourced builds as needed. Core Skill Requirements Power BI : Strong experience building dashboards and data models. SQL : Comfortable writing and optimising queries for complex datasets. Python (or other scripting languages) : Exposure ideal; willingness to learn expected. Excel : Fluent, particularly for modelling and cross-functional reporting. Ability to More ❯

teams to support advanced analytics and machine learning initiatives. The skills you’ll need: Extensive experience designing and building large-scale data pipelines and ETL processes. Strong proficiency in SQL and Python. Deep understanding of data modelling, warehousing, and performance optimisation. Proven experience with cloud platforms (AWS, Azure, or GCP) and their data services. Hands-on experience with big data More ❯

processes and identify areas for improvement. Ability to work independently and as part of a team. Willingness to learn and adapt to new technologies. Desirable Knowledge of Jet or SQL query (but not essential). Certifications such as CompTIA A+, Microsoft Power BI, or relevant Dynamics certifications are a plus. This role offers a pathway to more advanced positions such More ❯

teams to support advanced analytics and machine learning initiatives. The skills you'll need: Extensive experience designing and building large-scale data pipelines and ETL processes. Strong proficiency in SQL and Python. Deep understanding of data modelling, warehousing, and performance optimisation. Proven experience with cloud platforms (AWS, Azure, or GCP) and their data services. Hands-on experience with big data More ❯

Azure backup and disaster recovery capabilities Billing and cost management considerations Security, availability, compliance and performance considerations IaaS and PaaS solutions Should have direct implementation experience - Azure Data Factory, SQL DWH , Enterprise Service Bus and Data Lake Knowledge of Power BI, SSRS, SSAS Familiarity with alternative approaches such as file transfers (sFTP), EDI (multiple standards), subscribe-publish message bus, RESTful 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 ❯