1 to 25 of 5,125 SQL Jobs

experience in data architecture, management, or analytics engineering, or an equivalent combination of education, training, and experience. Technical Expertise: Data warehouse design and management (ETL/ELT). Strong SQL skills and experience with data modeling tools (ERwin, dbt, PowerDesigner). Experience with cloud data platforms ( AWS, Azure, or GCP ). Familiarity with data governance frameworks (DCAM, DAMA-DMBOK). … to translate complex data concepts into actionable insights. Commitment to data ethics, privacy, and responsible AI . Curious, innovative, and always learning. Tools & Technologies You'll Work With Databases: SQL Server, Oracle, Snowflake, Databricks Analytics & BI: Tableau, Cognos, Power BI Data Modeling & Integration: ERwin, dbt, PowerDesigner, Informatica Cloud Platforms: AWS, Azure, GCP Languages: SQL, Python, R Why Join Us At … principles, data modeling, and integration frameworks (ETL/ELT). Understanding of data governance, metadata management, and data quality best practices. Experience with relational and cloud database technologies (e.g., SQL Server, Oracle, Snowflake, Databricks). Familiarity with BI and analytics platforms (e.g., Tableau, Cognos, Power BI) and their data structures. Working knowledge of data security, privacy, and compliance standards (FERPA More ❯

visualisation Interpret requirements and present data in a clear and compelling way, using data visualisations In this role you will need experience of the following as a minimum: Snowflake, SQL, Azure or AWS, Power BI and Python. The wider technology stack is: Visualisation tools- Power BI Data modelling tools- Python, R, Alteryx and Business Objects Cloud service experience - AWS and … or Azure Databases - SQL Server, Oracle, NoSQL Data Integration tools (Mulesoft, Fivetran, SSIS) Cloud based Big Data frameworks such as data lake, Snowflake Remote working, O365 Productivity stack We offer: Our offer to you We want everyone at Rathbones to fulfil their potential, in an environment where you are proud to work and feel like you belong. We offer a More ❯

multiple data analytics tools (e.g. Power BI) Deep understanding of data wareho using concepts, ETL/ELT pipelines and dimensional modelling Proficiency in advanced programming languages (Python/PySpark, SQL) Experience in data pipeline orchestration (e.g. Airflow, Data Factory) Familiarity with DevOps and CI/CD practices (Git, Azure DevOps etc) Ability to communicate technical concepts to both technical and More ❯

governance, and security standards. Monitor and optimize data pipeline performance, identifying bottlenecks and opportunities for improvement. Integrate data from multiple systems using tools such as Azure Synapse, Microsoft Fabric, SQL, Python, or Spark. Support data validation, troubleshooting, and root cause analysis for data inconsistencies. Document data processes, architecture, and system configurations. Required: Bachelor’s degree in Computer Science, Data Engineering … Information Systems, or a related field. 4–6 years of experience as a Data Engineer, BI Developer, or related role Strong proficiency in SQL and data modeling techniques. Hands-on experience with Power BI (DAX, Power Query, and data visualization best practices). Experience with ETL tools and data orchestration frameworks (e.g., Azure Synapse, Airflow, or SSIS). Familiarity with More ❯

sources and tables for reliable reporting, using Power Query or other appropriate transformation methods to build efficient data models that support accurate insights. Integration & Connectivity: Connect Power BI to SQL, APIs, and gateways, ensuring secure, efficient data pipelines and supporting future cloud and data platform initiatives. Stakeholder Collaboration: Gather requirements, prototype layouts, and refine reports through feedback and workshops. Document … Science, Data Analytics, Information Systems, or related field (or equivalent experience). Microsoft certifications are a plus. 5+ years' experience in Power BI development, with advanced proficiency in DAX, SQL, and data modelling, including performance optimisation. Proven ability to create reports for all business levels, including executive and board level. Experience integrating Power BI with enterprise and cloud data sources More ❯

Developer with expertise in .NET technologies, modern JavaScript frameworks, RESTful APIs, and Microsoft Graph API. The ideal candidate will have strong hands-on experience with .NET, React or Angular, SQL, a solid understanding of architecture, and familiarity with Microsoft 365 and SharePoint Online environments. Experience with DevOps pipelines and AI-assisted tools such as GitHub Copilot or Microsoft Copilot is … .NET Framework and modern JavaScript frameworks (React, Angular). Build and consume RESTful APIs and Microsoft Graph API for integration with Microsoft 365 and enterprise systems. Develop and optimize SQL Server databases, queries, and stored procedures. Collaborate with designers and backend developers to ensure seamless, high-performance solutions. Integrate applications with SharePoint Online and Microsoft 365 services when required. Utilize … with JavaScript/TypeScript and frameworks such as React or Angular. Experience developing and integrating RESTful APIs and Microsoft Graph API. Strong database design and development skills using Microsoft SQL Server. Familiarity with data analytics tools (e.g., Power BI, Qlik Sense). Strong problem-solving skills with an eye for design, performance, and scalability. Excellent communication and collaboration skills with More ❯

maintain dashboards and reports using tools such as Tableau, Power BI, Looker, and/or Visio to visualize complex data sets clearly. * Design and optimize databases, such as Microsoft SQL Server, Oracle, and Looker data models, ensuring efficient data storage and retrieval. * Perform data analysis using SQL, R, Python, VBA, Bash (Unix shell), Talend, and ETL processes to extract insights … of Business Analysis (IIBA) certification * Knowledge of end-to-end systems * Excellent industry knowledge and expertise * Ability to serve as a change agent * Strong presentation skills * Solid knowledge of SQL Server, Oracle databases, and database design best practices. * Experience working within Agile environments and familiarity with SDLC processes. * Strong programming skills in R, Python, VBA, Bash (Unix shell), along with More ❯

Senior SQL Developer Exp : 1015 Years Experience Location : New Jersy Note : Only W2 A Senior SQL Developer with 1015 years of experience is responsible for designing, optimizing, and maintaining complex relational database systems, driving data architecture decisions, and ensuring high performance, scalability, and security. This role often involves leading database initiatives, mentoring junior developers, and collaborating with cross-functional teams … Design and implement scalable, normalized, and performance-optimized database structures.Develop logical and physical data models for enterprise applications.Lead database architecture decisions and contribute to long-term data strategy. Advanced SQL Development Write, optimize, and maintain complex SQL queries, stored procedures, views, functions, and triggers.Implement complex ETL processes and data integration workflows.Ensure SQL code follows best practices, standards, and security guidelines. … recovery and high availability strategies. 8. DevOps/CI-CD Integration (Senior-Level Expectation) Integrate database code into CI/CD workflows (Azure DevOps, GitLab, Jenkins, etc.Automate deployment of SQL scripts, schema changes, and migration workflows. Required Skills & Expertise 1015 years of hands-on SQL development experience.Expertise in SQL Server/Oracle/PostgreSQL/MySQL (specify based on roleStrong More ❯

ASP.NET Core. Design and implement data models and reports using Power BI to provide actionable insights. Design, develop, and implement solutions in the Microsoft technology including C# Visual Studio, Sql Server (SSMS Develop and maintain Web APIs using .net Core and should have understanding of RESTful APIs. Design and maintain DB Schemas and proficient in SQL queries and stored procedures. …/Scrum methodologies. Required Skills: Proficiency in ASP.NET Core and C Understanding of front-end technologies such as HTML, CSS, JavaScript, and frameworks like Angular or React Experience with SQL Server and database design. Strong knowledge of unit testing frameworks and tools (e.g., xUnit, NUnit, Selenium) Knowledge of RESTful APIs and web services. Strong experience with Power BI, including data … modeling, and report/dashboard creation. Proficiency in data analysis and transformation using Power Query Understanding of data integration and ETL processes. Understanding of Azure SQL Database and its features. Preferred Skills: Familiarity with Angular CLI, Angular Material, and RxJS Experience with cloud platforms like Azure. More ❯

years of IT experience, with10+ years in data analytics and BI development.5+ years of hands-on experience with Power BI, including DAX, Power Query, and Data Modeling.Strong expertise in SQL, data warehousing concepts, and ETL pipelines.Proven experience withAzure Data Services (Data Factory, Synapse, Data LakeExcellent understanding ofdata visualization principles and storytelling with data.Strong analytical, problem-solving, and communication skills.Bachelors or 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 ❯

focused Data Automation Engineer to work with a team of subject matter experts and developers to design and implement innovative data automation solutions for Azure cloud based data lake, SQL, and NoSQL platform. As a data automation engineer, you will translate business requirements to data engineering and AI based solutions to support an enterprise scale Microsoft Azure based data analytics … critical thinking to create innovative functions and solve technical issues. In this role, you will: Utilize Microsoft Azure services including Azure Data Factory, Synapse Pipelines, Apache Spark Notebooks, Python, SQL, stored procedures to develop high performing data pipelines. Continuously improve and optimize the automation toolset for reliability, scalability, and adaptability. Research and implement cutting-edge AI/ML and GenAI … BS degree in Computer Science or related field and 2+ years of experience in relevant field 2+ years of experience with more than one of the follow scripting languages: SQL, T-SQL, MDX/DAX, Python, and PySpark. Experience designing and building ETL/data engineering solutions, schedule and monitor utilizing various cloud services such as Azure Data Lake Services More ❯

lead on the DevOps team, which currently consists of ten team members with varying levels of skills. The technology environment consists of newly developed Microsoft Business Intelligence systems using SQL Server BI stack tools like (SSIS, SSAS, SSRS), delivered via SharePoint and Power BI, as well as the new Trust EHR system (EPIC). The post holder will be expected … to ensure knowledge transfer and continuity. 12. Continuous Improvement: Research new technologies, improve development processes, and contribute to optimizing the teams workflow. Key Skills Required Technical Skills: Proficiency in SQL, database management systems (e.g., MySQL, PostgreSQL, Oracle, SQL Server), and familiarity with cloud databases (e.g., AWS RDS, Azure SQL). Data Modeling: Ability to design normalized, relational, and sometimes non … at a senior level in Information Technology, informatics or related specialist discipline Plus, additional specialist training Desirable Specialist training in database administration techniques including either of Oracle or Microsoft SQL Server. Specialist training in Microsoft Active Directory domain environment. Specialist training in Microsoft SharePoint administration or development. Specialist training in an object orientated programming language. ITIL Foundation Prince Foundation or More ❯

expense analysis, policy-holder reporting. * Extract, transform, and load (ETL) data from multiple internal sources (policy system, claims system, marketing, ERP/finance) into analytical datasets. * Write and optimize SQL queries (or equivalent) to support reporting and analytics. * Ensure data quality, consistency and integrity: identify anomalies, collaborate with data/IT teams to remediate. * Work with business stakeholders to understand … experience in a data-analysis or business-intelligence role; ideally with insurance or financial services exposure. * Proficiency in Power BI: building dashboards, data modelling, DAX, data refresh schedules. * Strong SQL skills and experience working with relational databases. * Solid analytical and problem-solving skills, comfortable working with large/complex datasets. * Good business acumen – able to partner with underwriting, claims, finance More ❯

related discipline Minimum of 5 years of relevant experience (with 7 or more being highly desirable) Strong proficiency in Python (for data pipelines and custom logic) Solid experience with SQL and Apache Spark/PySpark Familiarity with cloud platforms (AWS and/or Azure) and scalable data processing Demonstrated ability to build and support data integration pipelines and ensure data More ❯

is a hybrid position. Position offers a competitive pay rate. 8+ Years of Experience: Data Management and Storage: Design and implement data storage systems using Azure services like Azure SQL Database, Azure Data Lake Storage, and Azure Synapse. Ensure scalability, performance, and cost-effectiveness. Data Integration and ETL (Extract, Transform, Load): Develop and implement data integration processes using Azure Data … Computer Science or a related field. 5+ of experience in building data and analytics platform focused on Azure data and analytics solutions. Expertise in Azure services such as Azure SQL Database, Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake Proficiency in: Software development and scripting languages ETL tools (e.g., SSIS, Azure Data Factory, Power BI Dataflow). Database … management (MSSQL, Azure SQL Database, Azure Data Lake Storage, and Azure Synapse). Knowledge of data modeling and data warehousing concepts. Excellent problem-solving and troubleshooting abilities. Attention to detail and commitment to data accuracy. Experience with cloud-based data migration. Strong analytical and problem-solving skills, with ability to conduct root cause analysis on system, process or production problems More ❯

and engineers, sharing ideas and driving innovation across the globe. Cutting-Edge Technology: Get hands-on with the full Esri product suite (ArcGIS Pro, Enterprise, AGOL), Microsoft Azure, MS SQL Server, PostgreSQL and the latest open-source platforms - plus AI/ML frameworks that power truly intelligent mapping and analytics. Diverse, High-Impact Projects: From single-discipline proofs-of-concept … additional experience in .NET, Java or modern JavaScript libraries. Experience with Web GIS development, including React and integration with Enterprise/PostgreSQL backends. Experience with Enterprise Geodatabases, databases and SQL for handling large datasets. Experience with deployment, CI/CD, and version control (e.g., Azure DevOps, Git). AI literacy, with the ability to communicate concepts clearly and support skill More ❯

and engineers, sharing ideas and driving innovation across the globe. Cutting-Edge Technology: Get hands-on with the full Esri product suite (ArcGIS Pro, Enterprise, AGOL), Microsoft Azure, MS SQL Server, PostgreSQL and the latest open-source platforms - plus AI/ML frameworks that power truly intelligent mapping and analytics. Diverse, High-Impact Projects: From single-discipline proofs-of-concept … additional experience in .NET, Java or modern JavaScript libraries. Experience with Web GIS development, including React and integration with Enterprise/PostgreSQL backends. Experience with Enterprise Geodatabases, databases and SQL for handling large datasets. Experience with deployment, CI/CD, and version control (e.g., Azure DevOps, Git). AI literacy, with the ability to communicate concepts clearly and support skill More ❯

as regression, classification, clustering, or time-series forecasting. Proficiency in Python and experience with data science libraries (e.g., Pandas, NumPy, scikit-learn, XGBoost, PyTorch, TensorFlow). Strong experience with SQL and data manipulation across large datasets. Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Plotly, Tableau, or Power BI). Exposure to modern collaborative data platforms (e.g., Databricks, Snowflake, Palantir More ❯

refinement, and pragmatic decision‐making in client squads. Nice to have Development fundamentals with Microsoft stack (.NET/C#/TypeScript), API integration, and working with data stores (Dataverse, SQL, SharePoint). Dynamics 365 (CE) experience Microsoft certifications (e.g., PL‐900/100/200/400/500/600). Power BI exposure (reports, embedding) and Azure Integration More ❯

and technology Demonstrated experience with non-SAP analytics platforms, and cloud-based analytics solutions, including data integration techniques Proficiency in programming languages such as Python, R, and/or SQL for data analysis, modeling and automation tasks What We Look For: We are looking for candidates who are: Innovative and agile , with a purpose-driven mindset Inclusive and able to More ❯

clinical reporting structures from disparate systems within a consistent and stable framework that is monitored and assured. We are seeking an experienced Data Engineer with a strong background in SQL Server and a commitment to formal change management procedures (RFC) and version control (Git). We are at the start of a five-year Data Engineering modernisation programme; this includes … qualification Microsoft certifications or equivalent technical qualifications. Experience Essential Substantial experience of design, build and deployment of Business Intelligence functions in a large/complex organisation. Substantial experience of SQL Server database/data warehouse development maintenance and support. Substantial experience of handling ETL solutions and issues across a range of systems. Substantial experience of delivering complex data and reporting … tasks to completion. Desirable Previous experience of working in the NHS. Database table partitioning. Data transfer using a web API. Transferring data using SFTP. Skills Essential Creating well-structured SQL Server Integration Services packages for data transfer and Data Warehouse ETL processes. Designing and implementing SQL Server Reporting Services reports. Data transfer using XML and JSON. Developing custom SSIS Script More ❯

and TypeScript is a plus. Familiarity with DICOM standards is highly desirable. Ability and willingness to learn and support additional programming languages as needed. Experience with large databases MS SQL and SQL query optimization. Knowledge of client application models web-based application models and web APIs. Experience with complex system integration including both file-based and API-based integrations. Familiarity More ❯

As Senior Data Engineer, you will: Lead the design, build, and optimisation of Azure Data Factory (ADF) ETL pipelines . Develop scalable Synapse Analytics data models and performance-optimised SQL workloads. Own and enhance Power BI datasets, semantic models, and reporting standards (major focus). Shape cloud data architecture across Azure Data Lake and Synapse environments. Play a key role … Experience Essential: Advanced Power BI expertise: datasets, DAX, modelling, governance, performance tuning. Expert-level Azure Data Factory (ETL/ELT pipelines, automation, optimisation). Strong Azure Synapse experience: warehousing, SQL pools, query tuning, stored procedures. Deep proficiency in SQL development and optimisation. Solid understanding of Azure Data Lake and cloud storage layers. Proven track record delivering Azure-based data engineering More ❯

As Senior Data Engineer, you will: Lead the design, build, and optimisation of Azure Data Factory (ADF) ETL pipelines . Develop scalable Synapse Analytics data models and performance-optimised SQL workloads. Own and enhance Power BI datasets, semantic models, and reporting standards (major focus). Shape cloud data architecture across Azure Data Lake and Synapse environments. Play a key role … Experience Essential: Advanced Power BI expertise: datasets, DAX, modelling, governance, performance tuning. Expert-level Azure Data Factory (ETL/ELT pipelines, automation, optimisation). Strong Azure Synapse experience: warehousing, SQL pools, query tuning, stored procedures. Deep proficiency in SQL development and optimisation. Solid understanding of Azure Data Lake and cloud storage layers. Proven track record delivering Azure-based data engineering More ❯