1 to 25 of 4,945 SQL Jobs in England

the data engineering role, ideally as a senior or lead engineer. Hands on experience of building and maintaining Python based Azure data bricks notebooks in Azure synapse analytics. Strong SQL experience, including programming ie, SQL queries and stored procedures, and formal database design methodologies. Experience in setting up monitoring and data quality exception handling. Strong data modelling experience. Experience managing More ❯

the data engineering role, ideally as a senior or lead engineer. Hands on experience of building and maintaining Python based Azure data bricks notebooks in Azure synapse analytics. Strong SQL experience, including programming ie, SQL queries and stored procedures, and formal database design methodologies. Experience in setting up monitoring and data quality exception handling. Strong data modelling experience. Experience managing More ❯

the data engineering role, ideally as a senior or lead engineer. Hands on experience of building and maintaining Python based Azure data bricks notebooks in Azure synapse analytics. Strong SQL experience, including programming ie, SQL queries and stored procedures, and formal database design methodologies. Experience in setting up monitoring and data quality exception handling. Strong data modelling experience. Experience managing More ❯

the data engineering role, ideally as a senior or lead engineer. Hands on experience of building and maintaining Python based Azure data bricks notebooks in Azure synapse analytics. Strong SQL experience, including programming ie, SQL queries and stored procedures, and formal database design methodologies. Experience in setting up monitoring and data quality exception handling. Strong data modelling experience. Experience managing More ❯

impact through data engineering, software development, or analytics Demonstrated success in launching and scaling technical products or platforms Strong programming skills in at least two of the following: Python, SQL, Java Commercial experience in client-facing projects is a plus, especially within multi-disciplinary teams Deep knowledge of database technologies: Distributed systems (e.g., Spark, Hadoop, EMR) RDBMS (e.g., SQL Server More ❯

integrates seamlessly with their backend database to automate and streamline the trade execution operations processes. The platform will optimize operations-based trade processing, leveraging Azure hosting and tools like SQL, and Excel. This role is ideal for a candidate with expertise in backend systems integration, database optimization, and workflow automation. Key Responsibilities: • Design and develop a robust trade execution platform … to process trades efficiently, integrating with existing backend databases. • Enable secure and efficient data file exchange between users. • Database Integration: • Work with SQL databases to handle data extraction, transformation, and loading (ETL), ensuring real-time accuracy. • Build capabilities to handle input and output of data in a range of formats including Excel for seamless data exchange and communication with corporate … user operations, and maintenance. Candidate Specification: Technical Skills: • Programming Languages: Strong proficiency in Python, Rust, C#, or Java, ASP.NET, or Django for backend development. • Database Expertise: Advanced skills in SQL (querying, optimization, ETL processes) and working knowledge of integrating relational databases. • File Handling: Hands-on experience processing and manipulating Excel files programmatically. • Cloud Technologies: Proficiency in Azure services, including Azure More ❯

processes Stay current with industry trends and best practices in BI and data analytics Required Skills: Proficiency in BI tools (Power BI, Tableau, QlikView) and data visualization techniques Strong SQL skills and experience with relational databases (e.g., SQL Server, Oracle, MySQL) Familiarity with ETL processes and data warehousing concepts Experience in data modeling and designing effective reporting structures Knowledge of 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 ❯

through technology. Responsibilities: Configure and support ERP systems, including customizing workflows and resolving user issues. Collaborate with Business Analysts to identify and automate business processes. Develop backend solutions using SQL, Oracle, and Crystal Reports to support business needs. Create and maintain technical documentation and reusable ERP components. Apply agile and continuous improvement practices to enhance system performance and user experience. … Desirable skills: Strong communication and collaboration skills, especially under pressure. Technical proficiency in SQL, Power Automate, Power Apps, and ERP systems. Analytical thinking and a structured approach to problem-solving. Ability to present technical concepts to non-technical stakeholders. Familiarity with coding languages such as .NET, Python, JavaScript, or C# is a plus. Proactive and hands-on with a “can … and credible in interactions with stakeholders. Team player with a strong sense of ownership and accountability. Demonstrable experience with automation tools (e.g., Power Automate, Power Apps). Experience with SQL (Microsoft and Oracle), data lakes, and data warehouses. Knowledge of additional coding languages is preferred but not essential. Strong written and verbal communication skills. Aptitude for logical thinking and structured More ❯

e.g., Adobe Creative Suite, Figma). Expertise in semantic model optimisation and Power BI capacity management. Strong understanding of dimensional data modelling, ETL processes, and data warehousing. Skilled in SQL, Data Analysis Expression (DAX), Power Query M code. Familiarity with cloud platforms, especially Microsoft Azure, for deploying and managing Power BI solutions. Good knowledge of wider Power Platform (Apps, Automate More ❯

to the company’s success. There are opportunities for professional development, such as training programs, certifications, and career advancement paths. KEY RESPONSIBILITIES Design, develop, and maintain scalable data pipelines SQL, Azure ADF, Azure Functions, DBT Collaborate with analysts and stakeholders to understand their data needs, scoping and implementing solutions Optimising and cleaning of data warehouse, cleaning existing codebase and creating … documentation. Monitor and troubleshoot data pipeline issues Provide technical support and guidance to junior team members Provide ongoing support for business applications. Provide help with data analysis using SQL, Qube, Tableau, Hubspot and excel. Perform systems analysis, business process analysis and design. Project Management, developing project plans, and monitoring performance. Monitoring deliverables and ensuring timely completion of projects. Research and More ❯

to the company's success. There are opportunities for professional development, such as training programs, certifications, and career advancement paths. KEY RESPONSIBILITIES Design, develop, and maintain scalable data pipelines SQL, Azure ADF, Azure Functions, DBT Collaborate with analysts and stakeholders to understand their data needs, scoping and implementing solutions Optimising and cleaning of data warehouse, cleaning existing codebase and creating … documentation. Monitor and troubleshoot data pipeline issues Provide technical support and guidance to junior team members Provide ongoing support for business applications. Provide help with data analysis using SQL, Qube, Tableau, Hubspot and excel. Perform systems analysis, business process analysis and design. Project Management, developing project plans, and monitoring performance. Monitoring deliverables and ensuring timely completion of projects. Research and More ❯

to the company's success. There are opportunities for professional development, such as training programs, certifications, and career advancement paths. KEY RESPONSIBILITIES Design, develop, and maintain scalable data pipelines SQL, Azure ADF, Azure Functions, DBT Collaborate with analysts and stakeholders to understand their data needs, scoping and implementing solutions Optimising and cleaning of data warehouse, cleaning existing codebase and creating … documentation. Monitor and troubleshoot data pipeline issues Provide technical support and guidance to junior team members Provide ongoing support for business applications. Provide help with data analysis using SQL, Qube, Tableau, Hubspot and excel. Perform systems analysis, business process analysis and design. Project Management, developing project plans, and monitoring performance. Monitoring deliverables and ensuring timely completion of projects. Research and More ❯

activities, with excellent time management, prioritisation and the ability to remain calm and objective under pressure. An expert in Java or Microsoft C#. A good understanding and experience of SQL, JavaScript and Angular. Understanding of APIs/REST. Experience in unit testing. Able to identify technical risks and propose alternative solutions. Awareness of current trends and developments in software engineering. More ❯

experience with Spring-based technologies (Spring Boot etc.) Experience in designing and implementing REST APIs & micro services-based solutions. Should have experience writing unit/integration tests Experience writing SQL queries and good understanding of data model Working knowledge in AWS cloud (EC2, ECS, Load Balancer, Security Group, Lambda, S3 etc.) Experience in DevOps development and deployment using c ontainer More ❯

and improve data processes Contribute to project teams, ensuring data requirements are addressed from the outset Continuously improve BI tools and data engineering practices Required Skills & Experience Proficiency in SQL, ETL processes, data warehousing, and data modelling (MS SQL preferred) Proven experience in data engineering or analysis Strong analytical and problem-solving skills Excellent communication skills able to explain technical More ❯

Science, Information Systems, Finance, or a related field. Proven experience as a Data Analyst/Analytics Engineer role, preferably in the payments industry with issuer processors. Proven experience in SQL,DBT and Snowflake. Proficiency in building and managing data transformations with dbt, with experience in optimizing complex transformations and documentation. Hands-on experience with Snowflake as a primary data warehouse … including knowledge of performance optimization, data modeling, and query tuning. Strong proficiency in data analysis tools and languages (e.g., SQL, Python). Strong understanding of data modeling principles and experience applying modeling techniques. Proficiency with data visualization tools such as Tableau, Power BI, or similar. Knowledge of payment processing system, card issuance, and related services. Experience with cloud-based data More ❯

across Africa, Europe, the UK and the US. ABOUT THE ROLE Sand Technologies focuses on cutting-edge cloud-based data projects, leveraging tools such as Databricks, DBT, Docker, Python, SQL, and PySpark to name a few. We work across a variety of data architectures such as Data Mesh, lakehouse, data vault and data warehouses. Our data engineers create pipelines that … practices. Understanding of machine learning workflows and how to support them with robust data pipelines. DESIRABLE LANGUAGES/TOOLS Proficiency in programming languages such as Python, Java, Scala, or SQL for data manipulation and scripting. Strong understanding of data modelling concepts and techniques, including relational and dimensional modelling. Experience in big data technologies and frameworks such as Databricks, Spark, Kafka … such as AWS, Azure, or GCP for deploying and managing data solutions. Strong problem-solving and analytical skills with the ability to diagnose and resolve complex data-related issues. SQL (for database management and querying) Apache Spark (for distributed data processing) Apache Spark Streaming, Kafka or similar (for real-time data streaming) Experience using data tools in at least one More ❯

implementing new software •Experience of reviewing processes and creating new workflows •Ability to work well within a team environment and to be able to self-motivate •Fundamental understanding of SQL and/or Power BI •Languages: Java, C#, Python, JavaScript, SQL •Familiarity with RESTful APIs and web services integration. •Strong problem-solving skills and attention to detail. •Effective communication and More ❯

and principles. Solid understanding of data warehousing data modeling and data integration principles. Proficiency in at least one scripting/programming language (e.g. Python Scala Java). Experience with SQL and NoSQL databases. Familiarity with data quality and data governance best practices. Strong analytical and problem-solving skills. Excellent communication interpersonal and presentation skills. Desired Skills: Experience with containerization technologies More ❯

SOLID principles, and modern design patterns - Development experience in Microsoft .Net Framework and experience in Front-end JavaScript frameworks like Angular & React - Traditional Relational Database technologies like Oracle, MS SQL Server and - No SQL Databases like MongoDB or DynamoDB - SOA & Microservices architecture implementation using REST APIs, queue-based messaging patterns, exposure to Mulesoft/Kong is a plus - On-premise More ❯

Data Analyst. Technical expertise regarding data models, database design development, data mining, and segmentation techniques. Strong knowledge of and experience with reporting packages (Business Objects, Tableau, Power BI), databases (SQL, etc.), programming (XML, JavaScript, or ETL frameworks), and data visualization (Power BI, Tableau, etc.). Demonstrated analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of More ❯

Data Analyst. Technical expertise regarding data models, database design development, data mining, and segmentation techniques. Strong knowledge of and experience with reporting packages (Business Objects, Tableau, Power BI), databases (SQL, etc.), programming (XML, JavaScript, or ETL frameworks), and data visualization (Power BI, Tableau, etc.). Demonstrated analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of More ❯

Data Analytics, Data Visualisation, Data Science and Business Intelligence. Delivery experience using the following core technology: SAS (SAS EG, SAS DI, SAS Viya). An ability to write complex SQL queries. Project experience using one or more of the following technologies: Tableau, Python, Power BI, Cloud (Azure, AWS, GCP, Snowflake, Databricks). Project lifecycle experience, having played a leading role More ❯

automation. Experience with front-end development and cloud-platforms/technologies offered by AWS, Microsoft Azure. Experience with databases such as Postgres and Oracle and database technologies such as SQL and NoSQL. Code versioning, maintenance and deployment tools like GitHub, JIRA. Excellent problem-solving ability with solid communication and collaboration skills. What Would Make You Stand Out: Experience with popular More ❯