26 to 50 of 4,697 SQL Jobs

Deep understanding of semantic modeling, star and snowflake schema design, dimensional modeling, and visual analytics best practices Strong hands-on experience with DAX, Level of Detail (LOD) expressions, advanced SQL, and programming languages such as Python or R, as well as data preparation tools including Alteryx, Power Query, and Tableau Prep Experience with Cloud Data Platforms such as Azure, AWS More ❯

to serve a dynamic website. Debugs cluster-based computing architectures. Uses scripting or basic programming skills to solve problems. Installs and manages open-source monitoring tools. Develop and maintain SQL and PL/SQL code, including stored procedures, functions, triggers, views, and queries, in support of application development Develop backend reports to meet user needs and provide actionable business insights … enrichments, and analytics within Global Mission Analytics (GMA). EDUCATION: Bachelor's degree from an accredited college in a related discipline YEARS OF EXPERIENCE: 10 Years SKILLS/CERTIFICATIONS: SQL (MySQL, PostgreSQL, Microsoft SQL) and query optimization Stored procedures, functions, triggers, views, and complex queries ETL processes, backend reporting, and database automation scripts Database performance monitoring, troubleshooting, and optimization Log … .NET, C#, Javascript, and Java Terraform Experience developing and maintaining components in AWS SpringBoot framework Experience with ELK stack, OpenSearch, SonarQube, Cypress, PowerShell, C#, and Databricks Experience with Docker, SQL, Angular, Spring Boot, Nifi, AWS, python, scala, shell scripting, and XML processing Experience in AWS solution architecture Experience as a scrum participant and software release processes Available to work after 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 ❯

a pivotal role in shaping the future of data-driven decision-making across the institution. This is an exciting opportunity for someone with strong expertise in Azure, ADF, Azure SQL Server, pipelines, ETL, database, Dev-Ops, and Power to contribute to the development of cutting-edge data solutions, influence the organisation's BI strategy, and mentor others in best practices. … Microsoft Power BI reporting , ensuring solutions align with business needs and future opportunities. Develop and maintain system architecture in partnership with chosen data and analytics solution providers. Utilise Azure SQL data warehouse and related Azure services to build scalable data solutions and self-service reporting capabilities. Ensure appropriate access controls are applied to safeguard data and compliance with governance standards. … data and analytics. Person Specification Essential skills and experience: Significant expertise in Power BI for data visualisation and reporting. Hands-on experience with Azure services (Azure Data Factory, Azure SQL Server). Strong understanding of dimensional modelling (e.g., Kimball methodology). Proficiency in sourcing, manipulating, and interpreting complex datasets. Strong analytical mindset with excellent attention to detail and accuracy. Experience More ❯

API Architecture (SOAP/REST), Git, REST APIs using technologies such as ASP.NET Core, Flask, Django, Express.js, or Spring Boot Solr, Bash Shell or like applications Relational Databases and SQL (MySQL, PostgreSQL, Microsoft SQL) Visual Studio Pro, Selenium Linux Admin, VMWare vSphere 6/7 experience, SPLUNK Server administration, Dell Server, and SAN Storage hardware experience. Experience with Docker, Microsoft … SQL, Oracle databases, Angular, JavaScript including Ember.js, Spring Boot, Spring, in addition to a focus on cloud skillsets, specifically AWS solution architecture Strong Oracle database and MS SQL experience is required Document applications, services, and environments for future maintenance Automate application and configuration deployments and updates Participate in Program Increments (PIs) and Agile Release Train (ART) activities Support the multi More ❯

networking solutions, including ExpressRoute, to ensure secure and efficient connectivity. - Implement monitoring and observability using Azure Monitoring tools (Dynatrace, SCOM, Application Insights). - Manage and optimize databases, including MS SQL, Cosmos DB, and Azure SQL, with expertise in CRUD operations. - Develop and maintain cloud-native applications using microservices and APIs. - Write scripts in Python, PowerShell, and Bash to automate processes. … HIPAA, FERPA). - Knowledge of cloud infrastructure monitoring tools (e.g., AWS CloudWatch, Azure Monitor, Google Cloud Operations Suite) - Strong knowledge of networking concepts and ExpressRoute configuration. - Proficiency in MS SQL, Cosmos DB, Azure SQL, and CRUD operations. - Use cloud cost management tools to track and analyze cloud spending Licenses/Certifications: N/A Minimum Qualifications Education: Bachelor's degree More ❯

and optimise PowerBI reports, dashboards, and datasets for operational, strategic, and Trustee-level reporting. Carry out data analysis at descriptive, diagnostic, predictive, and (where possible) prescriptive levels using PowerBI, SQL, and statistical techniques. Work closely with stakeholders across all departments to gather requirements, shape reporting solutions, and provide actionable recommendations. Collaborate through Azure DevOps to plan and deliver realistic reporting … and optimise PowerBI reports, dashboards, and datasets to support operational teams, senior management, and Trustee-level oversight. Deliver analysis at descriptive, diagnostic, predictive, and prescriptive levels using PowerBI, MS SQL, and statistical techniques. Apply statistical and modelling techniques that go beyond traditional reporting, providing forecasts and recommended actions to inform decision-making. Provide actionable insights by identifying trends, patterns, and … processes or introducing innovation in a previous role. Leading in your area Desire to learn and develop skills in Business Intelligence Experience working with PowerBI Experience working with Microsoft SQL Server and writing SQL queries Experience in effective Data visualisation Experience with Microsoft Fabric Experience or knowledge of data modelling techniques and Data Warehousing concepts Disclosure and Barring Service Check More ❯

Collaborate with stakeholders across the business to deliver value-driven solutions What were looking for: London/Lloyd's Market experience is essential Strong programming skills in Python and SQL; knowledge of Java or Scala is a plus Solid experience with relational databases and data modelling (Data Vault, Dimensional) Proficiency with ETL tools and cloud platforms (AWS, Azure or GCP More ❯

models. Essential Skills & Experience 5+ years in data engineering, ideally at senior or lead level. Strong hands-on experience with Python , Azure Databricks , and Azure Synapse Analytics . Advanced SQL skills, including stored procedures and formal database design. Proven data modelling capabilities. Proficiency with Microsoft Azure data services and CI/CD pipelines. Experience integrating data across systems using APIs. More ❯

small team as well as independently, exercising discretion in technical decisions A strong understanding of Agile software development Excellent communication and stakeholder collaboration skills Desirable Additional languages ( PHP, .Net, SQL, Python ) Familiarity with JIRA, GitHub, Confluence, Figma, Miro, Okta/Auth0 Experience with integrations and API construction Relevant degree/technical qualification or professional body membership Interest in DevOps, SecOps 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 ❯

. 2+ years of experience designing, developing, and implementing visualizations in Power BI. 1+ years of experience with visualizations utilizing Cloud-based platforms and data sources. Strong SQL (Structured Query Language) knowledge to view and understand data from common data base systems and applications (SQL Server, Infor ERP). Good understanding of data warehouse and data lake solutions such as More ❯

IT SQL Developer Our client is looking for an experienced SQL Developer to work in the Solutions Engineering team within their IT department. The role will work alongside the existing development and change management teams to continue to develop and enhance our operational database integrations, and data warehouse capabilities. Working with the Head of Development, this exciting role will consult … and enhance our data capabilities by consuming external data feeds. Experience of harnessing public or commercially available datasets and APIs to augment corporate data, would be beneficial. As a SQL expert, you will assist in the development and maintenance of data integrations between operational data platforms. In addition, supporting our Application Support and Application Production teams to troubleshoot production issues … where required. Necessary Skills/Experience • Expert in Microsoft SQL Server. • Proficient in writing complex SQL queries to retrieve and manipulate data. • Experience in creating and maintaining stored procedures and functions to optimize database performance. • Experience with SSIS for data integration and ETL (Extract, Transform, Load) processes. • Background in reporting and business intelligence tools, including SSRS. • Experience of working within More ❯

identifying quality issues Communicate with stakeholders to ensure model understanding and support query/report development Optimize models for Azure cloud architectures including data lake medallion, Synapse Analytics, and SQL Managed Instance Support reengineering efforts transitioning from legacy Enterprise Data Warehouse to Azure Data Lake Platform Enhance data models for performance, quality, and scalability improvements Collaborate with data governance teams … background in subject-specific domain data model development for reporting and queries Understanding of various database technologies including relational, dimensional, NoSQL, and data lake medallion Proficiency with Microsoft tools: SQL Server, SSIS, SSRS, SSAS cubes, and Power BI Expert-level skills in SQL, T-SQL, Python, or PowerShell scripting languages Experience with Azure Data Lake Services, Azure Synapse Analytics, Azure … SQL MI, and related services Proven experience advising ETL and data engineering teams Strong communication and collaboration skills with technical and non-technical stakeholders Experience with Agile DevOps methodology and practices Open mindset with continuous learning ability and quick technology adoption US Citizenship required with ability to obtain or already have government-issued Public Trust clearance Nice-to-Haves Microsoft More ❯

dashboards, reports, and data pipelines-for large-scale retail environments, with a strong focus on analysis, design, and performance optimization. Skilled in working with large datasets, writing complex T-SQL queries, and performing SQL tuning, troubleshooting, and data transformations Technical proficiency in these data technology subject areas: Data pipeline technologies and ETL tools and languages such as SQL, SSIS, Knime … Alteryx, Tableau Prep Database technologies such as Snowflake, SQL Server Data Visualization and Consumption Tools such as Tableau, Microstrategy, Power BI, Business Objects Data warehouse and data lake architecture Scripting languages such as Snowscript, Javascript, VBA, Python - Preferred Experience in troubleshooting and identifying the root cause of production system issues and driving swift resolution Ability to quickly learn new technical 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 ❯

Java, .NET, Python Minimum of 8+ years coordinating team efforts in a project or operations environment Minimum of 5+ years of experience with databases and data modeling/design (SQL and NoSQL) Minimum of 5+ years in full stack development for cloud solutions (Azure or AWS) - Azure preferred Skills and Knowledge 5+ years in full stack development for cloud solutions … using Azure The full stack engineers for Commercial Technology will be proficient in SQL, .NET, Web Services, Azure Cloud, Restful-API/Kafka & event-driven integration capabilities. Excellent verbal and written communication, interpersonal, and analytical skills. Ability to self-learn and quickly understand new and changing technologies in a fast-moving cloud environment. This engineer needs to be very proficient … in managing large sets of data, including excellent proficiency with ANSI-SQL querying structured and unstructured data sources (Snowflake, Oracle, SQL, No-SQL). Understanding proper coding techniques, testing requirements, and debugging techniques. Conduct Code-Reviews, and Peer Reviews. Maintain comprehensive technical documentation to support ongoing development and future projects. Experience with ELK, and other logging capabilities. Ability to analyze More ❯

and utilization of large-scale data processing, computationally intensive statistical modeling, and advanced analytics Databricks and Lakehouse architectures AWS OpenSearch Experience with AWS, Splunk, Databricks, and other Oracle/SQL based platforms. Experience with python, Microsoft VBA, and Databricks Databricks Alteryx Designer Cloud (previously Trifacta) Microsoft PowerBI Apache Niagra Files (NiFi) Apache TIKA Databricks and Lakehouse architecture ElasticSearch AWS SQS … .NET, C#, Javascript, and Java Terraform Experience developing and maintaining components in AWS SpringBoot framework Experience with ELK stack, OpenSearch, SonarQube, Cypress, PowerShell, C#, and Databricks Experience with Docker, SQL, Angular, Spring Boot, Nifi, AWS, python, scala, shell scripting, and XML processing Experience in AWS solution architecture Experience in ElasticSearch, Vue.js, Java Spring Framework, and .NET Framework web services. Vue3 More ❯

Cloud Data Engineer to work with a team of subject matter experts and developers to design and implement full lifecycle data pipeline services for Azure cloud based data lake, SQL, and NoSQL data stores. As a data engineer, you will translate business requirements to data engineering solutions to support an enterprise scale Microsoft Azure based data analytics and reporting platform. … You will support continued maintenance of legacy SQL Server ETL operations and transition to modern cloud native solutions. Our ideal candidate is mission focused and delivery oriented, and applies critical thinking to create innovative functions and solve technical issues. Who we are Client is a Fortune 500 technology, engineering, and science solutions and services leader working to solve the world … Protection, airports, and electric utilities to make the world safer, healthier, and more efficient. In this role, you will: • Maintain and operate legacy ETL processes utilizing Microsoft SSIS, Powershell, SQL procedures, SSAS, .NET code, and other technologies. • Implement full lifecycle Azure cloud native data pipeline development and operation. • Work closely with client personnel and team members to understand data requirements More ❯

Scala. Deep understanding of data warehousing principles, data modelling techniques, and data integration patterns. Extensive experience with Azure data services, including Azure Data Factory, Azure Blob Storage, and Azure SQL Database. Experience working with large datasets and complex data pipelines. Experience with data architecture design and data pipeline optimization. Proven expertise with Databricks, including hands-on implementation experience and certifications. … Experience with SQL and NoSQL databases. Experience with data quality and data governance processes. Experience with version control systems (e.g., Git). Experience with Agile development methodologies. Excellent communication, interpersonal, and problem-solving skills. Experience with streaming data technologies (e.g., Kafka, Azure Event Hubs). Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with DevOps tools and More ❯

in, and support stakeholders in development of queries and reports. Optimize models for Azure cloud data architectures, including but not limited to data lake medallion architecture, Synapse Analytics, Azure SQL Managed Instance, NoSQL data stores, and Power BI. Support reengineering efforts to transition workloads from the legacy Enterprise Data Warehouse to Azure Data Lake Platform. Optimize data models for performance … specific domain data models supporting reporting and queries. Understanding of various database technologies (relational, dimensional, NoSQL, data lake medallion). Proficiency using Microsoft database and business intelligence tools, including SQL Server (e.g. stored procedures), SSIS, SSRS, SSAS, (cubes), and Power BI. Proficiency with more than one of the follow scripting languages: SQL, T-SQL, Python, PowerShell Experience with and knowledge … of Azure Data Lake Services, Azure Synapse Analytics, Azure SQL MI, and other related services. Experience advising ETL & data engineering teams. Strong communication and collaboration skills. Experience with Agile DevOps methodology. Open mindset, continuous learning and ability to quickly adopt new technologies to solve customer problems. US Citizenship and ability to successfully obtain a government-issued Public Trust clearance. Not More ❯

in, and support stakeholders in development of queries and reports. • Optimize models for Azure cloud data architectures, including but not limited to data lake medallion architecture, Synapse Analytics, Azure SQL Managed Instance, NoSQL data stores, and Power BI. • Support reengineering efforts to transition workloads from the legacy Enterprise Data Warehouse to Azure Data Lake Platform. • Optimize data models for performance … specific domain data models supporting reporting and queries. • Understanding of various database technologies (relational, dimensional, NoSQL, data lake medallion). • Proficiency using Microsoft database and business intelligence tools, including SQL Server (e.g. stored procedures), SSIS, SSRS, SSAS, (cubes), and Power BI. • Proficiency with more than one of the follow scripting languages: SQL, T-SQL, Python, PowerShell • Experience with and knowledge … of Azure Data Lake Services, Azure Synapse Analytics, Azure SQL MI, and other related services. • Experience advising ETL & data engineering teams. • Strong communication and collaboration skills. • Experience with Agile DevOps methodology. • Open mindset, continuous learning and ability to quickly adopt new technologies to solve customer problems. • US Citizenship and ability to successfully obtain a government-issued Public Trust clearance. Not More ❯

data from various data sources for the use of various levels of stakeholder. Responsibilities: Design, develop, and maintain dashboards, reports, and data models in Power BI. Build and optimise SQL queries to support analytics and reporting requirements. Collaborate with internal stakeholders to understand data needs and deliver actionable insights. Integrate data from multiple sources into the firm's SQL data … strategic initiatives by providing high-quality analytics and visualisations. Person Specification: Essential Skills & Experience: Proven experience working as a Data Analyst, BI Developer, or similar role. Strong proficiency in SQL for querying, transforming, and managing data. Demonstrable experience with Power BI, including data modelling, DAX, and report/dashboard development. Strong analytical and problem-solving skills, with the ability to … in a professional services or legal sector environment. Understanding of data governance, compliance, and security best practices. Exposure to other Microsoft data tools such as Azure Data Factory or SQL Server Integration Services (SSIS). Salary & Hours: Salary of £32,000 to £35,000, dependent on experience Our standard working hours are 8:30am to 5:30pm Monday-Thursday and More ❯

data from various data sources for the use of various levels of stakeholder. Responsibilities: Design, develop, and maintain dashboards, reports, and data models in Power BI. Build and optimise SQL queries to support analytics and reporting requirements. Collaborate with internal stakeholders to understand data needs and deliver actionable insights. Integrate data from multiple sources into the firm's SQL data … strategic initiatives by providing high-quality analytics and visualisations. Person Specification: Essential Skills & Experience: Proven experience working as a Data Analyst, BI Developer, or similar role. Strong proficiency in SQL for querying, transforming, and managing data. Demonstrable experience with Power BI, including data modelling, DAX, and report/dashboard development. Strong analytical and problem-solving skills, with the ability to … in a professional services or legal sector environment. Understanding of data governance, compliance, and security best practices. Exposure to other Microsoft data tools such as Azure Data Factory or SQL Server Integration Services (SSIS). Salary & Hours: Salary of £32,000 to £35,000, dependent on experience Our standard working hours are 8:30am to 5:30pm Monday-Thursday and More ❯

ecosystem. Strong hands-on experience with Microsoft Fabric, specifically its data engineering workloads (Notebooks, Pipelines, and Lakehouses). Demonstrable expertise in Azure Synapse Analytics, including Synapse Notebooks (PySpark) and SQL pool resources. Proficiency in Python for data manipulation, transformation, and automation. Experience in building and maintaining ETL/ELT pipelines using Azure Data Factory and Fabric Pipelines. Solid understanding of … modern data architecture concepts, including data lakehouses and medallion architecture. Strong SQL skills for querying and optimizing data workloads. Familiarity with data governance tools and concepts, such as Microsoft Purview. Experience with version control systems, such as Git. Excellent problem-solving, analytical, and communication skills. Preferred Qualifications Experience with real-time or streaming data processing. Knowledge of Power BI for More ❯