26 to 50 of 3,506 Permanent SQL Jobs

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 ❯

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 ❯

requirements and provide actionable insights. Data Modeling: Create and optimize data models, utilizing Power BI's DAX language for calculated measures and columns. Integration: Work with various data sources (SQL Server, Azure Data Lake, Excel, APIs, etc.) to integrate data into Power BI. Collaboration: Collaborate with business analysts, data engineers, and stakeholders to gather requirements and ensure the accuracy and … Qlik) is advantageous. Strong proficiency in Power BI, including DAX, Power Query, and Power BI Service. Experience with data modeling, ETL processes, and working with large datasets. Proficient in SQL and experience with databases such as SQL Server, Oracle, or Azure SQL. Familiarity with Azure data services (e.g., Azure Data Lake, Azure Synapse) is a plus. SharePoint O365 Administering Site More ❯

t wait. You Have: Experience in programming clean, secure, and efficient code using established principles for scripting, data analysis, automation, and data warehousing Experience programming in JavaScript, Java, Python, SQL, Scala, or Bash/Shell scripting Experience building scalable ETL/ELT workflows for reporting and analytics Experience with CI/CD practices to automate builds, testing, and deployments Experience … writing PL or SQL scripts and stored procedures for data manipulation, parsing, and processing within RDBMS such as Oracle or Postgres Ability to work in a complex enterprise environment and determine the best solution required for business and customer needs Ability to independently research, design, document, and implement new data services Top Secret clearance Bachelor's degree and 10+ years More ❯

feel about it, so our customers and their people can thrive. Job Description Are you a seasoned and passionate Software Engineer with a deep understanding of Microsoft Azure and SQL? Do you thrive in designing, developing, and deploying scalable and reliable solutions in the cloud? If so, we have an exciting opportunity for you to join our dynamic and global … a Senior Software Engineer, you will play a crucial role in building and maintaining our core applications and infrastructure on the Microsoft Azure platform. You will leverage your strong SQL skills to design and optimize our data models and ensure efficient data management. You will collaborate closely with cross-functional teams to deliver high-quality software that meets our business … architectural decisions, and mentor other engineers within a supportive and growth-oriented environment. If you're looking for a challenging and rewarding role where your expertise in Azure and SQL will be highly valued, we encourage you to apply! Key Responsibilities Design, develop, and deploy robust and scalable applications and services on Microsoft Azure. Utilize your deep SQL expertise to 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 ❯

Agile methodologies Understanding of data warehousing and business intelligence concept Power BI or similar business intelligence tools Data analysis, query, aggregation, and visualization techniques ETL processes and data transformation SQL and database technologies (MySQL, PostgreSQL, Microsoft SQL) Software development fundamentals Data management and big data technologies Version control systems (Git) Basic scripting and programming Desired Qualifications Active TS/SCI More ❯

Responsibilities Architect the solutions; collaborate with stakeholders and internal business partners to understand business requirements and translate them into analytical solutions Design and develop data queries and programs through SQL and/or Python to create models to build compelling stories and drive insights around key drivers of health care trends (i.e., medical cost, utilisation, etc.) Accountability for socialising to … data interrogation, analysis and visualization Experience with statistical models, demonstrate understanding of different statistical methods and approaches Proven track record of leading analytic projects Intermediate level of proficiency in SQL, and at least one scripting language such as R, or Python Intermediate level of proficiency with Data visualization/Dashboard tools (e.g., Power BI) Preferred Qualifications Master's Degree (or More ❯

Responsibilities Architect the solutions; collaborate with stakeholders and internal business partners to understand business requirements and translate them into analytical solutions Design and develop data queries and programs through SQL and/or Python to create models to build compelling stories and drive insights around key drivers of health care trends (i.e., medical cost, utilisation, etc.) Accountability for socialising to … data interrogation, analysis and visualization Experience with statistical models, demonstrate understanding of different statistical methods and approaches Proven track record of leading analytic projects Intermediate level of proficiency in SQL, and at least one scripting language such as R, or Python Intermediate level of proficiency with Data visualization/Dashboard tools (e.g., Power BI) Preferred Qualifications Master's Degree (or 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. Employment More ❯

of experience in a data engineering or similar technical role Hands-on experience with key Microsoft Azure services: Azure Data Factory Azure Synapse Analytics Azure Data Lake Storage Azure SQL Database Solid understanding of data modeling, ETL/ELT, and warehousing concepts Proficiency in SQL and one or more programming languages (e.g., Python, Scala) Exposure to Microsoft Fabric, or a More ❯

organise and produce work within deadlines. Skills - Good project and people management skills. - Excellent data development skills. - Excellent data manipulation and analysis skills using a variety of tools including SQL, Phyton, AWS services and the MSBI stack. - Ability to prioritise and be flexible to change those priorities at short notice. - Commercial acumen. - Able to demonstrate a practical approach to problem … design (Kimball and lake house, medallion and data vault) is a definite preference as is knowledge of other data tools and programming languages such as Python & Spark and Strong SQL experience. - Experience is building Data lake and building CI/CD data pipelines - A candidate is expected to understand and can demonstrate experience across the delivery lifecycle and understand both More ❯

in software development Proficiency with: One or more programming languages/frameworks: Java, .NET( C#), Python Frontend development using JavaScript frameworks (React, Angular, Vue, Svelte, Bootstrap) Relational Databases and SQL (MySQL, PostgreSQL, Microsoft SQL) REST APIs using technologies such as ASP.NET Core, Flask, Django, Express.js, or Spring Boot Git and other source control management systems Software development lifecycle (SDLC) best More ❯

levels. Proven experience managing data lakes and optimizing data workflows. Preferred Qualifications Experience with Master Data Management (MDM) tools or Microsoft Fabric. Knowledge of additional data technologies such as SQL, NoSQL databases, Apache Spark, Kafka, ML with Python. Prior experience in regulated industries (e.g., finance, education, healthcare) with a focus on data compliance. Certifications in cloud architecture (e.g., AWS Certified More ❯

premises or cloud infrastructure Experience managing data objects and data pipelines across multiple environments such as Dev, Test, and Prod Knowledge of relational and non-relational database technologies, including SQL or SparkSQL Knowledge of automation and scripting on Linux or Windows operating systems Knowledge of Tableau, Power BI and best practices for preparing data for data visualization tools Knowledge of More ❯

Jira/Confluence, jQuery, JSON, Maven, MongoDB, MBatis, MySQL, Node.js, Oracle, Postgres, React, Redis, RESTful Web Services, Scala, Selenium, Sencha Architect, SOAP Web Services, Spring, Spring MVC/Beans, SQL, Squirrel, Subversion, Tomcat, Twitter, Web Security, XML Government Technologies ASDF, CASPORT, GHOSTMACHINE, GOLDPOINT, Impala, ISLAND TRANSPORT, MASH, MDR-2, NETBACKUP, NiFi, Ozone Widget Framework, PKI Certificate Administration, SEAR, THECATALOG, TOOLMETRICS More ❯

experience in Data Modeling and Data Solution Development 1+ year performing queue modeling and survival analysis Demonstrated experience manipulating structured and unstructured data for analysis Strong programming skills in SQL, Python, R, Scala, Java, or similar language Experience using Python to manipulate large data sets Experience with DevSecOps, as it applies to data science Demonstrated experience with TensorFlow, Keras, or More ❯

discoverability of enterprise data. Design and execute ETL workflows to extract, transform, and load data from multiple sources-including spreadsheets, legacy systems, and modern applications-into structured repositories. Conduct SQL tuning, query optimization, and performance diagnostics to ensure efficient operation of Oracle and MS SQL Server environments. Develop, customize, and maintain BI reports, visualizations, and dashboards using Microsoft Power BI … environment (Db2), including the relational database management system (RDBMS). Demonstrated expertise with Enterprise Data and Analytics and Publishing tools: IBM-ELM, IBM Rational Publishing Engine (RPE), Oracle, MS SQL Server, and BI tools such as Power BI and Oracle BI. Bachelor's degree in Computer Science, Information Systems, or a related field. Demonstrated experience with data integration, ETL processes … with Requirements Interchange Format (ReqIF) for information exchange across the NATO enterprise. Demonstrated experience supporting full SDLC activities, including requirements analysis, system design, testing, and deployment. Demonstrated proficiency in SQL, data analysis, and customization of enterprise applications. Demonstrated professional experience with DevSecOps practices, CI/CD pipelines, and configuration management processes. NATO or National SECRET clearance. Demonstrated proficiency in English More ❯

commitments are met. Lead migration from legacy data warehouse and business intelligence platform to the new cloud native Azure platform. Be hands on with the technologies, such as constructing SQL queries, in order to facilitate effective data analysis, subject domain understanding, troubleshooting, task scoping, data quality checks, and demonstrations. Establish, maintain, and coordinate Agile development and operations, including Program Increment … data standards, data engineering, data governance. Experience delivering solutions using Azure services such as ADLS, ADF, Synapse Analytics, Apache Spark. Experience with the Microsoft Business Intelligence Stack (Power BI, SQL Server, SSAS, SSRS, and SSIS). Ability to use data query and reporting tools such as SSMS, Power BI, SQL query tools. Ability to conceptualize and articulate use of Azure More ❯

commitments are met. Lead migration from legacy data warehouse and business intelligence platform to the new cloud native Azure platform. Be hands on with the technologies, such as constructing SQL queries, in order to facilitate effective data analysis, subject domain understanding, troubleshooting, task scoping, data quality checks, and demonstrations. Establish, maintain, and cooordinate Agile development and operations, inluding Program Increment … data standards, data engineering, data governance. Experience delivering solutions using Azure services such as ADLS, ADF, Synapse Analytics, Apache Spark. Experience with the Microsoft Business Intelligence Stack (Power BI, SQL Server, SSAS, SSRS, and SSIS). Ability to use data query and reporting tools such as SSMS, Power BI, SQL query tools. Ability to conceptualize and articulate use of Azure More ❯

DevSecOps practices for deploying AI-ML models and applications Proficiency in any front-end development technologies (e.g., React, Angular, Vue.js, HTML, CSS, JavaScript). Knowledge of database systems (e.g., SQL, NoSQL, Vector Database, Graph Database) and data warehousing concepts. An understanding and competency surrounding data storage, accesses, and loading. Databases: PostgreSQL, NoSQL, Vector Databases, Graph Databases etc. ETL/ELT … Concepts Data warehouse concepts SQL Competency in data exploration, analytics, and feature engineering. (Python Specific) Pandas/NumPy/Polars/PySpark Plotly/Matplotlib (some form of data visualization) Data encoding/normalizing/regularizing/etc. Understanding of Deep learning concepts and architectures like CNNs, RNNs, LSTM, and GANs and ability to apply to real world data sets More ❯

available and drive into meaningful insights for the end user(s). Ability to produce reports and dashboards using Microsoft Power BI, SSRS, and other data tools. Experience using SQL to create queries and general knowledge of SQL database structure/relational databases Ability to define and document customer business processes and report/dashboard content needs, including business process … Required Experience. 3+ years prior data scientist experience. Proven experience in data science, machine learning, or predictive analytics roles. Proficiency in programming languages commonly used in data science (e.g., SQL, Python, R, etc.). Ability to work in a team-oriented environment for a matrixed organization. Strong knowledge and experience with data reporting tools, including Microsoft PowerBI, SSRS, Tableau, etc. … audience. Excellent organizational and time management skills. Strong team player who is always willing to help other team members. Desired Experience : Bachelor's degree or relevant experience. Knowledge of SQL Databases and Query Creation Knowledge of the Federal Acquisition Lifecycle or commercial contracting. Knowledge of Federal financial systems or commercial accounting. Ability to develop and deploy predictive models using machine More ❯

in the U.S. for three (3) full years out of the last five (5) years Technologies you'll use: Databricks on Azure for data engineering and ML pipeline support. SQL, Python, Spark, Tableau. Git, Jira, CI/CD tools (e.g., Jenkins, CodeBuild). Jira, Confluence, SharePoint. Mural, Miro, or other collaboration/whiteboarding tools. What we'd like you to … and CI/CD pipelines and DevOps practices using Terraform for IaC. Emergency management domain knowledge a plus Advanced proficiency in data engineering and analytics using Python, Expert-level SQL skills for data manipulation and analysis and experience with Scala, preferred but not required (Python expertise can substitute) Proven experience breaking down complex ideas into manageable components Demonstrable experience developing More ❯

formats, thereby promoting the sustainable use and further development of our Data Analytics Platform. What you can expect from us A hybrid data landscape with proven on-premise technologies (SQL Server, SSIS, SSAS, Power BI) and a modern Data Analytics Platform with technologies such as Databricks, dbt, Airflow, Azure Data Services, Terraform, GitHub, Python, and Fabric currently under development. A … bring A degree in business informatics, data engineering, data management or a comparable qualification. Several years of experience in data engineering, ideally with a focus on Databricks and Azure. (SQL Server, SSIS, SSAS, Power BI desirable) Initial practical experience in the development and operation of complex Data Platforms, including data integration, pipeline design, cloud and on-premise architectures, and close … collaboration with business departments to translate requirements into scalable technical solutions. Very good knowledge of SQL, Python, ETL design, dbt, Airflow. Experience with Infrastructure as Code (Terraform), CI/CD (GitHub), and monitoring (e.g., Datadog, Grafana, Prometheus). Understanding of data governance, Unity Catalog, cost monitoring, and metadata management are an advantage. Initial experience with Jira and Confluence is desirable. More ❯