1 to 25 of 15,484 SQL Jobs in the UK

services such as Azure Synapse Analytics, Azure Data Factory, Azure DataBricks, and Event Hub. This role also involves designing, building, and operating the data layer on Azure Synapse Analytics, SQL DW, and Cosmos DB. The data engineer is proficient in Azure Data Platform components, including ADLS2, Blob Storage, SQLDW, Synapse Analytics with Spark and SQL, Azure functions with Python, Azure … s Degree Required Technical And Professional Expertise Commercial experience as a Data Engineer or similar role, with a strong emphasis on Azure technologies. Proficiency in Azure data services (Azure SQL Database, Azure Synapse Analytics, Azure Data Factory, Azure Databricks). Experience with data modeling, data warehousing, and big data processing (Hadoop, Spark, Kafka). Strong understanding of SQL and NoSQL More ❯

to join a growing team to deliver a large data modernisation programme. As a Data Services Data Engineer, you will be responsible for designing, developing, and maintaining our MS SQL Server Data Warehouses and associated data feeds into and out of the warehouses, and developing on our new modern cloud data platform, requiring Snowflake, dbt and Azure Data Factory experience. … of the wealth management industry, including products & services and the associated data, is a plus. Key Responsibilities • Design, develop, and implement data warehouse solutions using Snowflake, Azure, and MS SQL Server. • Develop data models and database schemas that support reporting and analytics needs. • Extensive use of and fully conversant in SQL. • Experience working with programming languages like C#, Python, Java … develop, and deploy SSIS packages and ADF pipelines. • Manage and troubleshoot SSIS packages and ADF pipelines, ensuring data integrity and error handling is robust. • Creation and maintenance of complex SQL stored procedures. • Integrate data from various sources, including flat files, REST/SOAP APIs, and third-party databases, into the data warehouse/platform. • Develop and maintain complex stored procedures More ❯

services such as Azure Synapse Analytics, Azure Data Factory, Azure DataBricks, and Event Hub. This role also involves designing, building, and operating the data layer on Azure Synapse Analytics, SQL DW, and Cosmos DB. The data engineer is proficient in Azure Data Platform components, including ADLS2, Blob Storage, SQLDW, Synapse Analytics with Spark and SQL, Azure functions with Python, Azure … s Degree Required Technical And Professional Expertise Commercial experience as a Data Engineer or similar role, with a strong emphasis on Azure technologies. Proficiency in Azure data services (Azure SQL Database, Azure Synapse Analytics, Azure Data Factory, Azure Databricks). Experience with data modeling, data warehousing, and big data processing (Hadoop, Spark, Kafka). Strong understanding of SQL and NoSQL More ❯

experience in the analysis, design, development, testing and implementation of enterprise scale applications and solutions 5+years experience developing with C#, ASP.NET, Web Services, MVC, JavaScript, jQuery, CSS, HTML, T-SQL, XML, Visual Studio, and SQL Server Management Studio, with additional expertise in Bootstrap, React, Mobile Development and Service-Oriented Architecture desired. 4+years experience of developing web applications and websites on … SharePoint Online, custom workflows, features and solution packages using Power Platform and SPFx. Strong experience in data analysis, data modelling, data architecture principles with proficiency in SQL and Data Warehousing principles Experience with Python, R and ETL (Extract, Transform, Load) processes for data cleansing Experience with REST APIs Experience with a .NET UI controls tool such as DevExpress is a … plus Experience using version control and CI/CD tools, eg GitHub, Azure DevOps Working knowledge of Microsoft Azure resources; Azure Apps Services, Azure SQL DB, Data Factory and Blob storage Proven information architecture and analysis skills and ability to work in a rapidly changing environment. Comfortable communicating and training business users of all levels and abilities, as interaction with More ❯

services such as Azure Synapse Analytics, Azure Data Factory, Azure DataBricks, and Event Hub. This role also involves designing, building, and operating the data layer on Azure Synapse Analytics, SQL DW, and Cosmos DB. The data engineer is proficient in Azure Data Platform components, including ADLS2, Blob Storage, SQLDW, Synapse Analytics with Spark and SQL, Azure functions with Python, Azure … s Degree Required Technical And Professional Expertise Commercial experience as a Data Engineer or similar role, with a strong emphasis on Azure technologies. Proficiency in Azure data services (Azure SQL Database, Azure Synapse Analytics, Azure Data Factory, Azure Databricks). Experience with data modeling, data warehousing, and big data processing (Hadoop, Spark, Kafka). Strong understanding of SQL and NoSQL More ❯

services such as Azure Synapse Analytics, Azure Data Factory, Azure DataBricks, and Event Hub. This role also involves designing, building, and operating the data layer on Azure Synapse Analytics, SQL DW, and Cosmos DB. The data engineer is proficient in Azure Data Platform components, including ADLS2, Blob Storage, SQLDW, Synapse Analytics with Spark and SQL, Azure functions with Python, Azure … s Degree Required Technical And Professional Expertise Commercial experience as a Data Engineer or similar role, with a strong emphasis on Azure technologies. Proficiency in Azure data services (Azure SQL Database, Azure Synapse Analytics, Azure Data Factory, Azure Databricks). Experience with data modeling, data warehousing, and big data processing (Hadoop, Spark, Kafka). Strong understanding of SQL and NoSQL More ❯

Degree in Computer Science, IT, or a related field. 5+ years of experience with the Microsoft Power Platform. Strong experience with C#, ASP.NET, MVC, JavaScript, HTML/CSS, T-SQL, and web services. Hands-on experience with SharePoint Online development and SPFx. Proficient in SQL and data modelling principles. Bonus: Familiarity with Python, R, ETL pipelines, and DevExpress controls. Comfortable … working with Azure resources such as App Services, SQL DB, Blob Storage, and Data Factory. Experience using GitHub and Azure DevOps for source control and deployments. Strong communicator with the ability to collaborate across business and technical teams. Self-sufficient, delivery-focused, and thrives in a fast-paced, evolving environment. Company Culture & Benefits This is a people-first organisation that More ❯

permanent role will lead a squad focused on delivering robust data solutions across our five businesses. You will leverage your deep expertise in traditional data engineering (database design, T-SQL) and Microsoft Azure's data services (Data Factory, Power BI, and pipelines) to address complex business challenges. We are looking for a candidate who can effectively translate business requirements into … stakeholders, and ensuring alignment with business objectives The Person Essential: Minimum 5+ years of experience in designing and implementing data ETL processes and design Expert-level proficiency in T-SQL, SSIS, and the Microsoft data stack (SQL Server, Azure SQL Database) Proven proficiency in Azure Data Factory Proven experience in designing and implementing data models and database schemas for complex More ❯

following technical stack * Angular 13+ with DevExtreme UI library desirable * Playwright, ReadyAPI and Specflow. * Jira, Github, Confluence * Nice to have - * C# and .NET6+ * Rest API's and Microservice architecture * SQL Server Database, NHibernate or Entity Framework Demonstrate expertise of: * * Building modern-web applications * Modern UI design principles. i.e. Able to take initial design direction and interpret those guidelines to finalise … the design through to a solution * Restful API Design and development fundamentals * Good SQL knowledge * Test case preparation and execution EDUCATION & EXPERIENCE REQUIREMENTS * * 8-10 years' experience designing and developing applications both individually and as part of a team * Familiarity with energy or financial trading environment * Strong inter-personal and communication skills (both verbal and written) * Strong problem-solving skills More ❯

connectors and working with REST/SOAP APIs and Azure functions Familiarity with Azure ecosystem including Azure Logic Apps, Functions, Service Bus and Entra ID for SSO Understanding of SQL databases (Azure SQL, SQL Server) Deep understanding of the Power Platform Centre of Excellence Toolkit, including setup & installation, usage and general Power Platform administration best practices Creating and managing Power More ❯

modules (Asset Management, Work Management, Procurement, etc.) Maximo Data Model: Experience migrating data from legacy systems into Maximo, deep understanding of the tables, views and relationships, together with strong SQL knowledge System Integrations: Experience with Maximo Integration Framework (MIF) and integrating Maximo with other systems via APIs, web services, and data migration. Problem Solving & Troubleshooting: Ability to identify issues, troubleshoot … Maximo-related problems, and provide effective solutions. Knowledge of database concepts and querying in IBM DB2, Oracle DB, and MS SQL Server. Experience in programming languages including some of Python, Typescript, JavaScript, R, Java, C#, producing services, APIs, Function Apps or Lambdas. Strong understanding of core object-oriented concepts with good knowledge of Java, Web services, JavaScript, Json, XML, JDBC More ❯

/Scrum ways of working and participation in sprint ceremonies Exposure to ETL/ELT pipelines, data modelling, or ML/AI workloads. Skills/Aptitude: Programming in Python, SQL, C#, and/or React (or similar); ability to write clean, maintainable code. Proficient with Git, Azure DevOps or GitHub; comfortable with CLI tools. Strong analytical thinking, problem-solving and More ❯

Java development, including Spring Framework, Spring Boot, and JVM optimisation techniques for high-performance applications. Database Management : Proficiency with both relational databases (Oracle, PostgreSQL) and NoSQL solutions, with strong SQL skills and data modelling capabilities. API Development : Strong capabilities in designing and implementing RESTful APIs with a focus on security, performance, and usability. Master Data Concepts : Understanding of master data More ❯

e.g., Workato, Celigo, Boomi, MuleSoft), particularly in mid-market enterprise integration scenarios. Deep experience with the design, development, implementation and support of cloud- data platforms such as Snowflake, Azure SQL Database, Databricks, Microsoft Fabric or Azure Synapse Analytics. Demonstrated success implementing data governance programs with tools like Collibra, Alation, Microsoft Purview, or Informatica, including projects around lineage, cataloging, and quality … rules. Strong hands-on development experience in SQL and Python, with working knowledge of Spark or other distributed data processing frameworks. Design, development and implementation of distributed data solutions using API and microservice-based architecture. Deep understanding of ETL/ELT architecture, streaming, and event-driven processing; familiarity with tools like dbt, Airflow, Kafka, or equivalents. Familiarity with mid-sized More ❯

as a Data Engineer or in a similar role. Experience with data pipeline, ETL and workflow management tools (e.g., Databricks, Data Factory). Proficiency in programming languages such as SQL, Python, R, or Scala. Substantial knowledge and experience with Python libraries such as PySpark and Pandas. Strong experience with SQL and database management (e.g., MySQL, PostgreSQL, SQL Server). Excellent More ❯

IF YOU HAVE THE FOLLOWING SKILLS AND QUALITIES: Significant experience with Snowflake, DBT, Python Dagster, Airflow or similar orchestrating tool Knowledge of additional technologies is a plus: Azure, Microsoft SQL Server, Power BI Strong proficiency in SQL & Python Familiarity with additional languages is a plus: Javascript/Node.js, Java Experience working with marketing or customer data is a plus Understanding More ❯

to drive business insights. Experience in Oracle Cloud ERP, HCM, or SCM data structures, with the ability to integrate multiple Oracle Cloud modules. Hands-on experience with PL/SQL, data transformations, and BI Publisher, as well as Oracle’s built-in analytics tools. Strong understanding of business intelligence principles, including trend analysis, forecasting, and predictive analytics. Ability to independently More ❯

relevant technical strategies, principles and standards are appliedcorrectly. Contribute to application, technical, and data architecture design principles. Required Knowledge : Expert knowledge and experience of software development in Java and SQL for reporting applications. Good knowledge and experienced of Spring-boot and Spring-batch application development. Expert knowledge of data frameworks, data modelling, database design, SQL, Stored Procedures, MDX, and APIs. … Good knowledge and experience of reporting technical stack MS SQL Server, SSRS, PowerBI, SSAS, PostgreSQL. Knowledge of integration and ETL technologies Informatica ETL, Spring-Batch and SSIS. Good experience of managing software development teams, process and tools. Good knowledge and experience of software engineering design, development, build, and test process and practice. Good experience in agile delivery and ceremonies e.g. More ❯

field of study 5+ years of experience in data engineering, with a strong focus on Azure cloud services across a mixture of Enterprise and SME environments Proficiency in Python, SQL, Azure Data Factory, Azure Synapse Analytics, Azure Data Lakes, and big data technologies like Apache Spark Experience with DevOps practices and CI/CD pipelines in an Azure environment is More ❯

e.g., Talend, Informatica, MuleSoft). c. Experience with Infor Cloudsuite Applications (M3, LN, Lawson, FSM, GHR) 3. Technical Skills a. Strong knowledge of data modeling and relational databases (e.g., SQL, Oracle, MySQL). b. Familiarity with ETL processes and data transformation techniques. c. Understanding of data governance principles and compliance regulations. 4. Analytical and Problem-Solving Skills a. Ability to More ❯

about technology including our chosen technology stack (Microsoft development stack, Azure Cloud computing, Data Engineering technologies) – having already worked with Azure tools or having an established background in MS SQL database technologies. Experience of, or an interest in learning about, AI and the development of custom copilot applications Self-motivated, with a drive to learn and share knowledge and focused More ❯

for channel growth Partner closely with various business functions to identify opportunities, analyze, and interpret trends or patterns in complex data sets using different techniques and tools such as SQL or Tableau Communicate complex findings, performance updates, and strategic recommendations clearly and concisely to key stakeholders, including senior management. What you'll need to succeed: Extensive Experience:5+ years in … Data-Driven Approach:Strong analytical skills with the ability to analyze data, translate data into actionable insights, and generate impactful recommendations.Proficient in business intelligence tools and data warehouse i.e. SQL, Tableau and MS Excel Innovative Problem-Solving Skills: The ability to tackle complex challenges in a non-linear fashion is essential. We seek a resourceful candidate who can effectively navigate … have: Experience in digital or social media marketing Experience in hypothesis testing frameworks, statistical analysis, and using Python/R for data manipulation and analysis. data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics More ❯

for channel growth Partner closely with various business functions to identify opportunities, analyze, and interpret trends or patterns in complex data sets using different techniques and tools such as SQL or Tableau Communicate complex findings, performance updates, and strategic recommendations clearly and concisely to key stakeholders, including senior management. What you’ll need to succeed: Extensive Experience:5+ years in … Data-Driven Approach:Strong analytical skills with the ability to analyze data, translate data into actionable insights, and generate impactful recommendations.Proficient in business intelligence tools and data warehouse i.e. SQL, Tableau and MS Excel Innovative Problem-Solving Skills: The ability to tackle complex challenges in a non-linear fashion is essential. We seek a resourceful candidate who can effectively navigate … #hcmc #hanoi #sanaa #taiz #aden #gibraltar #marrakech #lodz #wroclaw #poznan #Gdansk #szczecin #bydgoszcz #lublin #katowice #rio #salvador #fortaleza #brasilia #belo #belem #manaus #curitiba #portoalegre #saoluis data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics More ❯

Warehousing, or programming within a dynamic (software) project environment. Data Infrastructure and Engineering Foundations: Data Warehousing: Knowledge of tools like Snowflake, DataBricks, ClickHouse and traditional platforms like PostgreSQL or SQL Server. ETL/ELT Development: Expertise in building pipelines using tools like Apache Airflow, dbt, Dagster. Cloud providers: Proficiency in Microsoft Azure or AWS. Programming and Scripting: Programming Languages: Strong … skills in Python and SQL. Data Modeling and Query Optimization: Data Modeling: Designing star/snowflake schemas and understanding normalization and denormalization. SQL Expertise: Writing efficient queries and optimizing for performance. DevOps and CI/CD: Version Control: Using Git and platforms like GitHub, GitLab, or Bitbucket. Data Governance and Security: Data Quality: Ensuring accuracy, completeness, and consistency applying validation More ❯

performance, scalability, and reliability. Required Skills Python for data engineering (e.g., pandas, NumPy, pyodbc, SQLAlchemy, etc.) Strong experience in Power BI (DAX, Power Query, data modeling, publishing dashboards) Advanced SQL skills (joins, CTEs, indexing, optimization) Experience with relational databases (e.g., SQL Server, PostgreSQL, MySQL) Understanding of ETL/ELT principles , data architecture, and data warehouse concepts Familiarity with APIs, RESTful More ❯