526 to 550 of 5,991 SQL Jobs in the UK

Data Migration and Data Integration projects. Strong experience working with large and complex datasets. Experience working across both AWS and Microsoft Azure environments. Databases & SQL Strong hands-on experience with: MySQL Microsoft SQL Server Oracle Amazon Redshift Amazon Athena Excellent SQL development, optimisation, and troubleshooting skills. AWS Technologies Strong practical ...

using DevOps concepts. Prior experience in insurance and/or reinsurance in support of specialty lines is a plus. Extensive hands on experience in SQL, Python, Data Integration/Ingestion and associated patterns using Databricks, ADF, Notebooks etc. Experience in developing and supporting Delta Lakes using concepts such as medallion … dimension concepts Working with Cloud platforms such as Microsoft Azure. Experience with on-prem and cloud versions of databases such as Oracle and SQL Server. Knowledge and Skills Experience with Agile delivery frameworks/methodologies (e.g. Scrum, SAFe) and tools (i.e. Jira, AzureDevOps). Demonstrate a proven track record ...

Analytics. Develop ETL/ELT workflows to ensure data quality and reliability. Work with data lakes and warehouses using Azure Data Lake Storage and SQL Server. Collaborate with analysts and data scientists to deliver robust data products. Implement data quality checks and monitoring processes. Participate in technical reviews and contribute … continuous improvement. Technical Stack Core: SQL Server Databricks (introductory) Git REST APIs Microsoft Fabric Terraform basics What You’ll Bring: Professional experience in data engineering or related technical roles. Solid understanding of ETL/ELT processes and data pipeline design. Hands‐on experience with Azure data services and SQL. Growing ...

automation and integration tasks, leveraging the enterprise-scale integration tools in the Azure tech stack (including Azure Logic Apps, Azure Functions and Azure SQL) and Microsoft System Center Orchestrator. Create and maintain optimal integration solutions, including data integration architecture, and support our current integrations. Manage, review, monitor and report … associated management tools. Familiarity with other Microsoft System Center products (e.g. SCCM). Desired Azure Active Directory (Microsoft Entra ID). On-premises SQL services: SQL Server Integration Services (SSIS), Analysis Services (SSAS) and Reporting Services (SSRS). A successful history of using DevOps best practices, including backlog management, source ...

tech for the right task, you can expect to work with the following technologies to ensure scalable, high‐performance applications and reproducible analytical pipelines: SQL Excel Python What you can expect In the UK our healthcare experts work extensively with individual trusts, Integrated Care Systems, NHS England, DHSC and other … values. To use a range of different tools and technologies depending on the specific task, these include: Databricks, Python, PySpark, R, Excel, Palantir Foundry, SQL and PowerBI. Qualifications Even if you don’t meet every requirement below, feel free to still apply as we are often hiring for similar roles ...

your experience and competencies. This description may be varied from time to time to reflect changing business requirements. Essential qualifications, skills and experience T-SQL Development (MS SQL Server 2019 onwards) MS Integration Services (SSIS) including development of full DW ETL Solutions MS Analysis Services (SSAS) for complex cube reporting ...

validation, profiling, reconciliation, and quality assessments Investigate and resolve data issues using root-cause analysis and track remediation actions Develop and modify queries (e.g., SQL) to support research and data quality checks Present insights to both technical and non-technical audiences Support data onboarding, workflow improvements, and operational efficiency initiatives … Requirements 3+ years’ experience in data management, analysis, or customer-facing data roles Strong analytical skills with experience handling large or complex datasets Advanced SQL and Power BI reporting capabilities Knowledge of data lifecycle processes (profiling, validation, reconciliation) Experience with root-cause analysis and data quality improvement Strong communication ...

experience with React.js and its core principles. Strong understanding of API protocols and asynchronous request handling, including REST and GraphQL. Experience with relational (SQL) and NoSQL databases, including data modelling and optimization. Experience in Java and Spring Boot for backend development and system architecture. Solid understanding of agile methodologies … security, Git/GitHub, and Test Driven Development. Strong proficiency in Python, with a deep understanding of object-oriented programming principles. Strong proficiency in SQL, with experience of building data pipelines, data models, and data transformation within data warehouses, knowledge of tools such as DBT is desired. Strong problem-solving ...

data engineering lifecycle, from data ingestion and transformation through to modelling, quality assurance and delivery. You'll use your expertise in Python, SQL, data warehousing, data modelling and software engineering best practices to design innovative robust, scalable solutions that meet both business and technical needs. This is an excellent opportunity … date. Including familiarity with data related AWS technologies (e.g. Redshift). Strong programming skills and substantial experience designing and building data pipelines (e.g. Python, SQL, Airflow). Experience in data standardisation and QA techniques. Experience working with data observability tools. Experience integrating data with visualisation and business intelligence tools (e.g. ...

reporting processes in SAP HANA, SAP Business Objects and Tableau. Connect to your skills and professional experience Working knowledge of SAP HANA: basic HANA SQL and an understanding of calculation views. Ability to write and run SQL queries for data validation and issue tracing. Practical hands‐on experience with … Analytics Cloud (SAC). Experience working within a DevOps-enabled Git-based workflow to prepare, version‐control and support the promotion of HANA SQL artefacts, calculation view changes and validation scripts through development, test, pre‐production and production environments. Has worked in an Agile team and understands SCRUM/agile ...

capturing requirements and Governance & Control documentation, knowledge of GDS is an added advantageApplied experience of metadata analysis, fields/entity, and data lineage, sql/no sql databasesExperience with one of Azure/AWS/GCPETL tools like Informatica, Alteryx and Business Glossary tools like Collibra, Azure Purview or Apache ...

with modern Perl frameworks and modules. Strong understanding of software engineering principles and design patterns. Experience working with RESTful APIs and system integrations. Strong SQL and relational database experience (Oracle, PostgreSQL, MySQL, or SQL Server). Experience with version control systems such as Git. Experience working with Linux/Unix ...

Every day you will ... Lead the design and delivery of complex data pipelines, models and analytics-ready data products. Develop scalable solutions using SQL, Python and modern cloud data technologies. Provide technical leadership and make key design decisions across data solutions. Define and champion engineering standards, reusable patterns … skills will help you thrive in this role? Significant experience designing and delivering end-to-end data engineering solutions. Strong databricks experience with advanced SQL and python. Strong experience with cloud data platforms, ETL/ELT and data modelling. Experience designing scalable, resilient and maintainable data solutions. Strong understanding ...

Every day you will ... Lead the design and delivery of complex data pipelines, models and analytics-ready data products. Develop scalable solutions using SQL, Python and modern cloud data technologies. Provide technical leadership and make key design decisions across data solutions. Define and champion engineering standards, reusable patterns … skills will help you thrive in this role? Significant experience designing and delivering end-to-end data engineering solutions. Strong databricks experience with advanced SQL and python. Strong experience with cloud data platforms, ETL/ELT and data modelling. Experience designing scalable, resilient and maintainable data solutions. Strong understanding ...

maintaining complex data engineering pipelines, backend services, and APIs to ensure scalability, reliability, and high performance Support the thorough review of Python and SQL code via Git, promoting code quality, security, and adherence to engineering standards Support cloud-based deployments and infrastructure (e.g. Azure, GCP), leveraging Linux scripting and advanced … Docker skills including storage, volumes, and permissions Develop and implement database solutions using SQL and Cloud platforms, with a focus on optimising performance and data integrity Mentor and guide junior engineers, facilitating knowledge sharing and the adoption of best engineering practices Troubleshoot and enhance existing systems, applying advanced problem-solving ...

e.g., Kafka, Azure Event Hubs) to power high-throughput, low-latency financial data flows Deliver robust full-stack solutions utilising .NET/C# and SQL where appropriate, ensuring clean, maintainable, and well-tested code across the stack Lead technical workshops and knowledge-sharing sessions on AI-augmented development, machine learning … cloud services, including compute, storage, serverless, and container orchestration (e.g., AKS, EKS, Azure Functions, Lambda) Solid experience with .NET/C# and SQL Server for building enterprise-grade applications and data access layers Expert knowledge of design patterns, SOLID principles, and modern architectural patterns (microservices, event-driven, CQRS) Experience ...

that simplify complex risk data and support informed decision-making. Build scalable, reusable data models and reporting frameworks that meet multiple business needs. Utilise SQL, Alteryx and other data transformation tools to automate data sourcing, preparation and reporting processes. Integrate and rationalise data from multiple sources, improving data quality, consistency … Proven experience designing and delivering Power BI dashboards and reporting solutions, with a strong understanding of data modelling and BI best practice. Strong SQL and data analysis skills, with experience using Alteryx or similar tools to transform, automate and optimise complex datasets. Demonstrable track record of automating reporting processes, streamlining ...

that simplify complex risk data and support informed decision-making. Build scalable, reusable data models and reporting frameworks that meet multiple business needs. Utilise SQL, Alteryx and other data transformation tools to automate data sourcing, preparation and reporting processes. Integrate and rationalise data from multiple sources, improving data quality, consistency … Proven experience designing and delivering Power BI dashboards and reporting solutions, with a strong understanding of data modelling and BI best practice. Strong SQL and data analysis skills, with experience using Alteryx or similar tools to transform, automate and optimise complex datasets. Demonstrable track record of automating reporting processes, streamlining ...

ownership of problems from investigation through resolution and be comfortable working across multiple teams and disciplines. Key Responsibilities Develop, test and maintain Python and SQL-based research tools, investment analytics and data pipelines, applying strong software engineering and CI/CD practices. Perform detailed data analysis, validation and quality assurance … have approximately 5 years of experience in quantitative development, financial data analytics, quantitative research or a related discipline, with strong hands‐on Python and SQL skills. Experience with pandas, NumPy, Git, testing, CI/CD, cloud computing and modern development environments such as VS Code and GitHub Copilot is highly ...

applications in Perl.Experience with modern Perl frameworks and modules.Strong understanding of software engineering principles and design patterns.Experience working with RESTful APIs and system integrations.Strong SQL and relational database experience (Oracle, PostgreSQL, MySQL, or SQL Server).Experience with version control systems such as Git.Experience working with Linux/Unix environments.Knowledge ...

with modern Perl frameworks and modules. Strong understanding of software engineering principles and design patterns. Experience working with RESTful APIs and system integrations. Strong SQL and relational database experience (Oracle, PostgreSQL, MySQL, or SQL Server). Experience with version control systems such as Git. Experience working with Linux/Unix ...

with modern Perl frameworks and modules. Strong understanding of software engineering principles and design patterns. Experience working with RESTful APIs and system integrations. Strong SQL and relational database experience (Oracle, PostgreSQL, MySQL, or SQL Server). Experience with version control systems such as Git. Experience working with Linux/Unix ...

20+ marketing platforms. Build and optimize schemas, transformations, and ETL logic for high‐performance, reusable data workflows. Contribute directly to the DFP codebase (Python, SQL, Spark) — developing pipelines and infrastructure alongside the engineering team. Establish data versioning, testing, and governance frameworks ensuring reliability, lineage, and compliance. Data Engineering Leadership Drive … pipelines. Qualifications Hands‐on experience as a Data Engineer or Data Platform Developer, including direct contributions to production codebases. Expert‐level proficiency in Python, SQL, and Apache Spark for data pipeline development. Proven experience building ELT workflows using Fivetran, Airflow, DBT, or Databricks. Solid understanding of data modeling, dimensional design ...

contribute to the future direction of our Investment Data strategy and platform, including how trusted data is made available through Power BI, Streamlit, SQL, Python, APIs, MCP-based services and increasingly LLM and AI-enabled applications. Responsibilities Drive the design and delivery of high-quality Investment Data products … data or similar data-focused role, including designing, building or supporting analytical data products or reusable datasets. Strong Python (including pandas and NumPy) and SQL skills, alongside experience with version control, testing practices and building data-quality, validation and monitoring workflows. Strong practical understanding of data modelling, data products, pipelines ...

risk management processes, as required. Competencies, Skills and Experience Skills and Experience: Essential: Engineering : C#, .Net, ASP.Net, React, JS/TS, HTML, CSS, SQL, WPF, Linux Tools/Technologies/Infra : NodeJS, cloud/AWS, RabbitMQ, AMQ, Mongo, Bitbucket (Git), SQL/Server, Jira Design : API, HTTP/REST, JSON ...