1 to 25 of 4,897 SQL Jobs

Technology, Engineering, Mathematics, or a related field. Proven experience in data engineering, database development, or a related field. Intermediate to Advanced in Microsoft Excel and Power BI. Proficiency in SQL and experience with relational database management systems (e.g., PostgreSQL, MySQL, Microsoft SQL Server, Oracle, SQLite). Awareness of cloud data analytics platforms (e.g. Microsoft Fabric, Google Cloud Platform, Databricks etc. More ❯

support the build of dashboards based on Microsoft Power BI. Developing R or Python scripts to produce predictive models for use within PowerBI or reporting. Maintenance of Power BI, SQL and related reporting systems, helping to ensure a useful and reliable reporting function for the business. Developing data pipelines from Microsoft Fabric and integration products to exploit and maximise a … BI/Microsoft Analytics solutions, with a good grounding in all associated areas including; development , Enterprise Architecture, Governance, Rollout and Adoption Knowledge or experience ofData Factory, Data Lake, Azure SQL database, Azure SQL Data warehouse, Azure Analysis Services, R Studio, Python, Power Apps or Microsoft Fabric. Considerable technical knowledge or experience in any of the following: Power BI Report Server … or Cloud based Service, or similar visualisation experience. Database including MS-SQL, Oracle Database, Data warehousing, SQL and XML. Microsoft Fabric experience R or Python predictive modelling/classification Experience in building dashboards, reports and cubes using SQL, MDX, DAX, Power Query M Code, Power BI or other visualisation tools. Detailed understanding or experience of how to develop cloud-based More ❯

Technologies: JavaScript, TypeScript, Angular, React, HTML5, CSS3 API Development: RESTful services, microservices architecture, Web API Deep expertise with enterprise databases and data management: Relational Databases: Oracle (required), PL/SQL programming, Postgres stored procedures Data Architecture: Data warehousing, ETL processes, database optimization Extensive experience with cloud platforms and services: AWS: EC2, RDS, Lambda, API Gateway, CloudFormation, ECS/EKS Cloud 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 ❯

we need you to have. These include:Must haves Proven track record as a developer in an insurance or financial services environment; Strong working knowledge of programming languages (e.g. SQL, C#, VBA, Javascript, XML, JSON, Python); Experience building Excel-integrated applications and/or web-based pricing platforms. Strong database skills (SQL Server or similar) and data integration experience; Proactive … patterns and able to implement where appropriate; Working knowledge of software delivery and development process; Strong comprehension of working with large data sets and being able to write complex SQL queries; Have qualifications in an insurance or reinsurance environment working with catastrophe and/or actuarial models; Previous Lloyd's and PRA experience; Knowledge of DevOps practice - Desirable Skills Experience More ❯

engineering role, ideally as a senior or lead engineer. Strong, hands-on experience of Azure Data Factory for managing and orchestrating ETL processes Experience with Microsoft Fabric Products Strong SQL experience, including 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 and developing More ❯

Masters preferred1015 years of experience in ETL development and data warehousing.Strong proficiency in one or more ETL tools such as Informatica PowerCenter, Talend, SSIS, DataStage, or Azure Data Factory.Advanced SQL and PL/SQL skills with strong database experience (Oracle, SQL Server, Snowflake, or similarHands-on experience with data modeling, data integration, and data quality frameworks.Familiarity with cloud platforms (AWS 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 ❯

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 ❯

data warehousing and modelling. Proficiency in C#, Python, Java, or Scala . Hands-on experience with ETL tools (e.g., SSIS) and orchestration tools (e.g., Azure Data Factory). Strong SQL skills and experience with relational databases (MSSQL, PostgreSQL, MySQL). Familiarity with Azure services (Fabric, Azure SQL, Synapse Analytics, Blob Storage) and hybrid cloud/on-prem solutions. Understanding of More ❯

team members and the wider business community. About the Candidate The ideal candidate will possess the following: Expert in the Microsoft Azure Stack. Experience using data tools such as SQL, Excel, or Python. Experience with data & analytics platforms (e.g. MS Fabric) Expertise in delivering data models within data visualisation tools, ideally with Power BI exposure. Strong communication and organisation skills. More ❯

Contract (Onsite) Location: Utrecht, Netherlands Job Description: Expert knowledge and experience with Azure Data Factory. Knowledge of Banking/finance is an advantage. Expert knowledge of relational databases like SQL DB and Oracle. Knowledge and experience with SQL, Python, or Scala is a must. Data formats like JSON, Parquet, XML, and REST API are familiar to you. Experience with CI More ❯

day-to-day business of a teaching hospital and will work effectively with clinical, operational, finance, transformation, ICT, and other teams. In addition, you will possess: Expert technical skills (SQL, EPIC Reporting Stack, R) innate problem-solving skills detailed understanding of NHS Data Dictionary, Payment by Results and other commissioning options a significant experience with a broad set of NHS … a relevant Masters' degree level qualification or equivalent experience. Experience Essential Significant experience in an information analysis/processing role Proven experience of working with relational databases, including complex SQL Proven experience of using SQL Server to a high standard Proven experience of using MS Excel to high standard Desirable Experience in an Information Analysis role in an NHS or More ❯

Abilities: Bachelor's degree in Computer Science or a related field 5-8 years of professional software engineering experience Demonstrated experience in: Full-stack application development Oracle PL/SQL, SQL, APEX, with proven ability to develop and manage complex queries and manage data migrations, administer, navigate and manage multiple schemas, data replication, backup/recovery, troubleshooting, development, and performance … structure, integration approaches, and performance optimization. Develops and consumes APIs and web services for system interoperability. Maintains and enhances database-driven applications using tools such as Oracle PL/SQL and APEX. Implements unit testing, automated testing frameworks, and follows version control and release management best practices. Participates in infrastructure and application support for both on-premises and cloud environments. 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 ❯

raw data into actionable insights. Designing and Maintaining Data Products: Developing and maintaining APIs that deliver a seamless data experience for internal and external stakeholders. Managing Databases: Working with SQL and NoSQL databases, optimising schema design, and troubleshooting queries to support high-volume data transactions and improve database performance. Managing Cloud Data Resources: Develop and maintain software products utilising GCP … Essential Skills Java Development: 3–5 years of hands-on experience in Java development, particularly in data-intensive environments and building data products. Database Management: Background in managing both SQL and NoSQL databases. Version Control & CI/CD: Knowledge of version control (Git) and CI/CD practices for data pipeline deployment and Exposure to tools such as Terraform. Data More ❯

big data architecture and performance optimisation. CI/CD & Automation: Skilled in Jenkins, GitHub Actions, and Python scripting for automated ETL and Power BI deployments. Data Engineering: Proficient in SQL, Spark, EMR, and data warehousing; experienced in optimizing ETL pipelines and Power BI models (DAX, refresh scheduling). Containerization & DevOps: Hands-on with Docker and Kubernetes; experienced in scalable, portable More ❯

technologies, and best practices (e.g., RESTful APIs, SOAP, message queues, ETL, API gateways). Experience integrating with various enterprise systems (e.g., SAP). Strong understanding of database technologies (e.g., SQL, NoSQL). Experience with cloud platforms (e.g., AWS, Azure) and cloud-based integration services is a plus. Excellent problem-solving, analytical, and troubleshooting skills. Strong leadership, communication (both written and 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 ❯

turn complex information into clear insights for the organisation. Working as part of a collaborative agile squad, you will design and maintain enterprise-level BI solutions using Power BI, SQL, DAX, KQL and Power Query (M). You will help shape our reporting standards, data models, and best practices - ensuring our data is trusted, consistent, and ready for self-service … Building Power BI CI/CD pipelines in Azure DevOps for version controlling. Build and optimise reusable data models to support enterprise-level reporting and self-service analytics. Develop SQL queries, stored procedures, and views to support analytical and operational reporting needs. Implement and manage Power BI Service administration, including workspace permissions, data refreshes, and row-level security. Collaborate with … models. Advanced knowledge of DAX, Power Query (M), KQL and Power BI Service administration. Advanced Knowledge of AzureDevOps (CI/CD, version control, automated deployment) for Power BI. Strong SQL expertise, including writing complex queries, stored procedures, and CTEs, with experience in query optimization, performance tuning, and designing data models for relational databases. Good understanding of relational databases, data warehousing More ❯

technologies.Expert-level proficiency in C#, .NET Framework, .NET Core, ASP.NET MVC, and Web API.Hands-on experience with front-end technologies such as Angular, React, or Blazor.Strong database skills with SQL Server (T-SQL, stored procedures, query optimizationExperience designing and integrating microservices and cloud-native applications.Familiarity with Azure cloud services, including App Services, Functions, Storage, and DevOps Pipelines.Strong understanding of object More ❯

experience of working with large data sets in an enterprise environment. Microsoft Data Components: You'll have strong experience in Microsoft data components including: Azure Analysis Services Databricks Azure SQL Data Warehouse (Synapse Analytics) Data Quality and Security: You'll have experience of using tools and techniques for ensuring data quality, security, validation and recovery. Analytical Skills: You possess strong … DAX skills. Experience of working with large data sets in an enterprise environment. Dimensional model design and implementation. Experience in Microsoft data components including: Azure Analysis Services Databricks Azure SQL Data Warehouse (Synapse Analytics) Tools and techniques for ensuring data quality, security, validation and recovery. Strong analytical skills, with the ability to adopt a logical approach to solving problems. Data More ❯

autonomy, technical variety, and the satisfaction of keeping complex data systems reliable and efficient. Why this role? Work across a modern data stack - from ingestion to visualisation - using Python, SQL, Meltano, and Power BI . Join a small, high-impact team supporting pricing, revenue, and market analytics. Play a key role in maintaining and optimising the business's data warehouse … a Python-based data warehouse , ensuring reliable data ingestion and transformation. Developing and monitoring data pipelines using Meltano and orchestration tools like Dagster or Airflow . Designing and optimising SQL transformations (DBT experience a plus). Working within Azure cloud infrastructure following Infrastructure-as-Code (IaC) principles. Managing Power BI semantic models , DAX measures, and data ingestion from the warehouse. … Python-based dynamic pricing model and web scraping tools. What we're looking for: Experience across a modern data stack for ETL/ELT processes and data warehousing. Strong SQL and Python skills, with an understanding of Kimball-style data modelling . Experience with DBT, Dagster, or Airflow for transformation and orchestration. Hands-on experience with Azure (preferred), or other More ❯

in a way stakeholders can understand. Provide insight to support the Bad Debt Transformation programme, recommending improvements and clearly communicating impact. Support the transition to a data lake, creating SQL-driven reporting tools and ensuring strong data governance. Collaborate with stakeholders across the Income function, promoting data-driven decision-making and presenting findings with clarity and confidence. Act as a … ability to translate data into insights that influence decisions. Essential criteria include: Experience in a data analytics role, preferably within the consumer sector. Strong communication and presentation skills. Strong SQL skills – confident in writing efficient queries and building clear, reliable reports. Advanced Excel and other Microsoft Office tools to support everyday analysis and communication. A natural collaborator – able to work More ❯