226 to 250 of 4,038 SQL Jobs in England

In conjunction with data colleagues, support the development of agency-wide data management processes to drive efficiency, quality and compliance Skills, experience, qualifications S kills Data manipulation and analysis SQL for querying and manipulation of structured customer and campaign data (mandatory) MS Excel including pivot tables, VLOOKUP, Power Query (mandatory) Python or R for advanced data manipulation, statistical analysis and More ❯

In conjunction with data colleagues, support the development of agency-wide data management processes to drive efficiency, quality and compliance Skills, experience, qualifications S kills Data manipulation and analysis SQL for querying and manipulation of structured customer and campaign data (mandatory) MS Excel including pivot tables, VLOOKUP, Power Query (mandatory) Python or R for advanced data manipulation, statistical analysis and More ❯

and accountability. Key Skills and Attributes Strong interest in software development, automation and cloud technologies Understanding of programming languages such as Java, C++, Python or JavaScript Awareness of databases (SQL or NoSQL) and data structures Familiarity with version control and CI/CD processes such as Git, Jenkins or Azure DevOps Analytical and problem-solving skills with strong attention to … detail Organisation skills Customer care skills Problem solving skills Presentation skills Administrative skills Number skills Analytical skills Logical Team working Creative Initiative Patience Positive attitude Motivated Awareness of databases SQL Passion for Software Dev Understanding of programming Python JavaScript Qualifications English GCSE, grade 4/C and above (Essential) Math GCSE, grade 4/C and above (Essential) About the More ❯

areas to deliver solutions. What we’re looking for 4+ years’ experience in Azure data engineering. Strong skills with Azure Data Factory, Azure Data Fabric, Azure Synapse Analytics, Azure SQL Database. Proficiency in Python, PySpark, SQL, or Scala. Data modelling and relational database expertise. Azure certifications highly desirable. Power BI experience a bonus (but not essential). Why join? Join More ❯

areas to deliver solutions. What we’re looking for 4+ years’ experience in Azure data engineering. Strong skills with Azure Data Factory, Azure Data Fabric, Azure Synapse Analytics, Azure SQL Database. Proficiency in Python, PySpark, SQL, or Scala. Data modelling and relational database expertise. Azure certifications highly desirable. Power BI experience a bonus (but not essential). Why join? Join More ❯

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 ❯

ensuring continuity of reporting in the new system landscape. Key Responsibilities Data Analysis and Validation Query, explore, and reconcile data in the data migration environment and production systems using SQL and other tools (e.g. Power BI, Python, Excel, Banner Insights). Investigate and visualise data quality issues to present to business stakeholders (e.g. through Power BI reports), supporting the cleansing … models and documentation to support the long-term data strategy. Help design and maintain dashboards for migration progress, data quality tracking, and business readiness. Essential Skills and Experience Strong SQL skills, including experience querying complex data models. Experience with Higher Education data structures and Student Record Systems (e.g. SITS, Banner). Proven experience working with data from multiple systems, ideally More ❯

ensuring continuity of reporting in the new system landscape. Key Responsibilities Data Analysis and Validation Query, explore, and reconcile data in the data migration environment and production systems using SQL and other tools (e.g. Power BI, Python, Excel, Banner Insights). Investigate and visualise data quality issues to present to business stakeholders (e.g. through Power BI reports), supporting the cleansing … models and documentation to support the long-term data strategy. Help design and maintain dashboards for migration progress, data quality tracking, and business readiness. Essential Skills and Experience Strong SQL skills, including experience querying complex data models. Experience with Higher Education data structures and Student Record Systems (e.g. SITS, Banner). Proven experience working with data from multiple systems, ideally More ❯

Platform Build: Demonstrable experience designing and building modern data platforms in AWS. ETL/Orchestration Expertise: Expertise in ETL/ELT design and data orchestration, specifically with Apache Airflow. SQL Mastery: Strong SQL skills with significant experience in query tuning and performance optimisation. Programming Proficiency: Proficiency in Python and Bash (for data processing, scripting, and automation). Data Streaming: Familiarity More ❯

Platform Build: Demonstrable experience designing and building modern data platforms in AWS. ETL/Orchestration Expertise: Expertise in ETL/ELT design and data orchestration, specifically with Apache Airflow. SQL Mastery: Strong SQL skills with significant experience in query tuning and performance optimisation. Programming Proficiency: Proficiency in Python and Bash (for data processing, scripting, and automation). Data Streaming: Familiarity 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 ❯

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 ❯

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 ❯