76 to 100 of 14,939 SQL Jobs in the UK

of fundamental programming principles (e.g. SOLID, clean code) Basic experience with version control systems (e.g. Git) Desirable Skills: Degree in Computer Science or a related field Basic understanding of SQL and relational databases (e.g. SQL Server) Familiarity with web development technologies (e.g. HTML, CSS, JavaScript) Exposure to DevOps concepts and tools (e.g. CI/CD pipelines) Understanding of unit test More ❯

Engineering Lead, actively participating in team discussions and sharing ideas to improve platform excellence. What are we looking for? Great experience as a Senior Data Engineer. Experience with PySpark, SQL and Databricks. Proficiency in working with the cloud environment and various platforms, including Azure, SQL Server. NoSQL databases is good to have. Hands-on experience with data pipeline development, ETL More ❯

Engineering Lead, actively participating in team discussions and sharing ideas to improve platform excellence. What are we looking for? Great experience as a Senior Data Engineer. Experience with PySpark, SQL and Databricks. Proficiency in working with the cloud environment and various platforms, including Azure, SQL Server. NoSQL databases is good to have. Hands-on experience with data pipeline development, ETL More ❯

Oriented design, SOLID principles, and modern design patterns - Developmentexperience in Microsoft .Net Framework and experience inFront-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 toMulesoft/Kong is a plus - On-premise/ More ❯

Oriented design, SOLID principles, and modern design patterns - Developmentexperience in Microsoft .Net Framework and experience inFront-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 toMulesoft/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 ❯

similar tools. Deep understanding of DevOps principles, data warehousing, data modeling, and data integration patterns. Proficient in one or more programming languages such as Python, Scala, or Java, alongside SQL and NoSQL database experience. Knowledge of data quality assurance techniques and governance frameworks. Excellent analytical, problem-solving, and communication skills. Desirable: Experience with containerization technologies (Docker, Kubernetes), data streaming platforms More ❯

services and communicate status Explore new data analytics techniques and tools to improve efficiency and capabilities What do we expect from you? ML Ops experience is essential Proficiency in SQL and Python or similar languages for data analysis Experience with AWS and Azure cloud engineering Experience with cloud data platforms like AWS Redshift or Azure Synapse and automated Terraform deployment More ❯

years of experience developing and deploying production-grade Python software. 3+ years of experience with Python and high-performance data libraries such as Polars and Pandas. Proficiency with JavaScript, SQL, and KQL. Experience with Extract, Transform, Load (ETL), Data Streaming, and Reconciliation. Experience building and maintaining deployment pipelines, including DevOps tools like Ansible, and containerization with Docker. Proficiency with cloud More ❯

project or programme and partnering with multiple stakeholders within a business - Relevant experience working with Excel, reporting tools and large-scale data mining tools, such as Power BI, Python, SQL, or Tableau - Relevant experience in financial modelling PREFERRED QUALIFICATIONS - A bachelor's degree in finance, Mathematics, or Economics - Experience troubleshooting problems and offering solutions to streamline complex challenges - Experience of More ❯

Cloud Platforms: Experience with Azure, AWS, or Google Cloud for data engineering. Cloud Data Tools: Expertise in Databricks, Snowflake, BigQuery, or Synapse Analytics. Programming & Scripting: Strong knowledge of Python, SQL, Spark, or similar. Data Modelling & Warehousing: Experience with cloud-based data architecture. CI/CD & DevOps: Knowledge of Terraform, GitHub Actions, Docker, Kubernetes. Agile & Collaboration: Ability to work in agile 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 ❯

Continuously explore new data analytics techniques and tools to improve efficiency and analytical capability within the team. What do we expect from you? • ML ops experience essential • Proficiency in SQL, and Python or similar programming languages for data analysis and manipulation. • Cloud engineering experience with AWS and Azure • Experience working with cloud-based data platforms such as AWS Redshift or More ❯

AWS, or Google Cloud for data engineering. Cloud-Based Data Tools: Expertise in Databricks, Snowflake, BigQuery, or Synapse Analytics for scalable data solutions. Programming & Scripting: Strong knowledge of Python, SQL, Spark, or equivalent cloud technologies. Data Modelling & Warehousing: Experience with modern cloud-based data architecture and methodologies. CI/CD & DevOps: Understanding of Terraform, GitHub Actions, Docker, Kubernetes in cloud 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 ❯

a diverse mix of backgrounds. Technical skills are only part of the equation. Core - Ideally, you will have hands-on experience with the following in a previous role: Python SQL Cloud platform architecture (AWS, Azure, GCP) Data Warehousing (Snowflake, Redshift, Synapse, BigQuery, etc.) Data Lakes/Lakehouses and analytical tools (Databricks, Azure Fabric/OneLake, AWS Lake Formation, Spark, Athena 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 ❯

AWS, or Google Cloud for data engineering. Cloud-Based Data Tools: Expertise in Databricks, Snowflake, BigQuery, or Synapse Analytics for scalable data solutions. Programming & Scripting: Strong knowledge of Python, SQL, Spark, or equivalent cloud technologies. Data Modelling & Warehousing: Experience with modern cloud-based data architecture and methodologies. CI/CD & DevOps: Understanding of Terraform, GitHub Actions, Docker, Kubernetes in cloud More ❯

through secure coding techniques and vulnerability assessments Technical skillset includes data models, messaging, REST, API design and development, and standard methodologies for system integration Knowledge of Oracle Database and SQL, with experience in performance monitoring and optimization to ensure applications meet performance benchmarks Strong attention to detail and a commitment to delivering the best user experience possible, while actively participating More ❯

be beneficial. Understanding of the System Delivery Life Cycle. Experience of using agile delivery tools such as JIRA, Pivotal, Collab, Confluence Experience of engineering based on the likes of SQL, SSIS, Python, Java, Scala, XML/FpML and Power BI Solution architecture (Business, Functional, Technical) Data architecture, data lineage and all aspects of AI including, but not limited to, NLP More ❯

through secure coding techniques and vulnerability assessments Technical skillset includes data models, messaging, REST, API design and development, and standard methodologies for system integration Knowledge of Oracle Database and SQL, with experience in performance monitoring and optimization to ensure applications meet performance benchmarks Strong attention to detail and a commitment to delivering the best user experience possible, while actively participating More ❯

be beneficial. Understanding of the System Delivery Life Cycle. Experience of using agile delivery tools such as JIRA, Pivotal, Collab, Confluence Experience of engineering based on the likes of SQL, SSIS, Python, Java, Scala, XML/FpML and Power BI Data architecture, data lineage and all aspects of AI including, but not limited to, NLP, ML, deep learning and Generative More ❯

be beneficial. Understanding of the System Delivery Life Cycle. Experience of using agile delivery tools such as JIRA, Pivotal, Collab, Confluence Experience of engineering based on the likes of SQL, SSIS, Python, Java, Scala, XML/FpML and Power BI Solution architecture (Business, Functional, Technical) Data architecture, data lineage and all aspects of AI including, but not limited to, NLP More ❯

client projects in the national security space. In this role you will be responsible for full lifecycle development across greenfield and existing projects. C# (.NET) - backend and some frontend SQL - data handling and queries RESTful APIs - design and integration SDLC understanding - Agile or similar Unit, system, and integration testing Migrating legacy codebases Developing shared libraries/modules This is a More ❯