2,001 to 2,025 of 5,118 SQL Jobs

up fast Proven experience leading analytics teams and delivering commercial value from data A confident communicator who enjoys presenting to both technical and non-technical stakeholders Strong technical toolkit: SQL and Excel required; Python a plus Comfortable in a fast-paced environment with a blend of strategy, hands-on analytics, and client engagement Background in consulting or financial services is More ❯

up fast Proven experience leading analytics teams and delivering commercial value from data A confident communicator who enjoys presenting to both technical and non-technical stakeholders Strong technical toolkit: SQL and Excel required; Python a plus Comfortable in a fast-paced environment with a blend of strategy, hands-on analytics, and client engagement Background in consulting or financial services is More ❯

a major transformation being driven by technology. Skills & experience required: Experience leading a BI function Expertise in Azure BI architecture and Cloud services Hands-on experience with Azure Fabric, SQL warehousing, DataLakes, Databricks Track record in MI/BI product development using Agile and Waterfall methods Experience managing cross-functional teams and sprint activities Experience in leading a BI team More ❯

skills Need to Have Knowledge of IT systems and networking: SaaS technology selling experience Cloud hosting infrastructure and platforms (Azure, AWS etc.) Microsoft Enterprise solutions like .NET and MS SQL HTML, Java scripting, CSS etc. Nice to Have Knowledge of or experience in the following industry sectors: Banking Retail Government Healthcare Key Competencies Planning and execution Persuasiveness and negotiation Adaptability More ❯

expertise as an AI Engineer, with a track record of leading initiatives and deploying effective machine learning solutions. Proficiency in Python and libraries, plus tools like Pandas, NumPy, and SQL, is essential. Experience defining value-driven AI strategies and guiding teams on best practices is required, along with knowledge of software principles, API development, CI/CD, and AI in More ❯

expertise as an AI Engineer, with a track record of leading initiatives and deploying effective machine learning solutions. Proficiency in Python and libraries, plus tools like Pandas, NumPy, and SQL, is essential. Experience defining value-driven AI strategies and guiding teams on best practices is required, along with knowledge of software principles, API development, CI/CD, and AI in More ❯

Software Engineering, or a related field; 5-7 years of experience in programming and software architecture, ideally in the monitoring and automation of mechanical systems; Proficient in Python, Go, SQL, C/C++ ; Solid understanding of DevOps practices (CI/CD, Docker, Kubernetes, GitLab); Experience developing engineering and simulation tools for physical systems or process optimization; Excellent command of English More ❯

expertise as an AI Engineer, with a track record of leading initiatives and deploying effective machine learning solutions. Proficiency in Python and libraries, plus tools like Pandas, NumPy, and SQL, is essential. Experience defining value-driven AI strategies and guiding teams on best practices is required, along with knowledge of software principles, API development, CI/CD, and AI in More ❯

expertise as an AI Engineer, with a track record of leading initiatives and deploying effective machine learning solutions. Proficiency in Python and libraries, plus tools like Pandas, NumPy, and SQL, is essential. Experience defining value-driven AI strategies and guiding teams on best practices is required, along with knowledge of software principles, API development, CI/CD, and AI in More ❯

expertise as an AI Engineer, with a track record of leading initiatives and deploying effective machine learning solutions. Proficiency in Python and libraries, plus tools like Pandas, NumPy, and SQL, is essential. Experience defining value-driven AI strategies and guiding teams on best practices is required, along with knowledge of software principles, API development, CI/CD, and AI in More ❯

expertise as an AI Engineer, with a track record of leading initiatives and deploying effective machine learning solutions. Proficiency in Python and libraries, plus tools like Pandas, NumPy, and SQL, is essential. Experience defining value-driven AI strategies and guiding teams on best practices is required, along with knowledge of software principles, API development, CI/CD, and AI in More ❯

expertise as an AI Engineer, with a track record of leading initiatives and deploying effective machine learning solutions. Proficiency in Python and libraries, plus tools like Pandas, NumPy, and SQL, is essential. Experience defining value-driven AI strategies and guiding teams on best practices is required, along with knowledge of software principles, API development, CI/CD, and AI in More ❯

expertise as an AI Engineer, with a track record of leading initiatives and deploying effective machine learning solutions. Proficiency in Python and libraries, plus tools like Pandas, NumPy, and SQL, is essential. Experience defining value-driven AI strategies and guiding teams on best practices is required, along with knowledge of software principles, API development, CI/CD, and AI in More ❯

expertise as an AI Engineer, with a track record of leading initiatives and deploying effective machine learning solutions. Proficiency in Python and libraries, plus tools like Pandas, NumPy, and SQL, is essential. Experience defining value-driven AI strategies and guiding teams on best practices is required, along with knowledge of software principles, API development, CI/CD, and AI in More ❯

expertise as an AI Engineer, with a track record of leading initiatives and deploying effective machine learning solutions. Proficiency in Python and libraries, plus tools like Pandas, NumPy, and SQL, is essential. Experience defining value-driven AI strategies and guiding teams on best practices is required, along with knowledge of software principles, API development, CI/CD, and AI in More ❯

expertise as an AI Engineer, with a track record of leading initiatives and deploying effective machine learning solutions. Proficiency in Python and libraries, plus tools like Pandas, NumPy, and SQL, is essential. Experience defining value-driven AI strategies and guiding teams on best practices is required, along with knowledge of software principles, API development, CI/CD, and AI in More ❯

in a related field. Ideal candidate will have working knowledge in multiple object-oriented programming languages (Java, C++, C#, Python, etc.) and web development technologies (HTML, CSS, Javascript, PHP, SQL, etc.). Proficient in modern business office applications and instructional techniques and methodologies. Committed to continuous professional development in the ever-changing field of information systems, eager to deliver current More ❯

Docker Swarm Hands-on experience building and maintaining CI/CD pipelines (e.g. Jenkins) Deep understanding of monitoring & observability tools (Grafana, Prometheus, InfluxDB) Solid grounding in Linux, network security, SQL, and AWS (EC2, S3, RDS, Lambda) Comfortable with MQ messaging (RabbitMQ or similar) Bonus points for: Experience with Azure environments Strong coding ability in Python, Java, or Go Knowledge of More ❯

expertise as an AI Engineer, with a track record of leading initiatives and deploying effective machine learning solutions. Proficiency in Python and libraries, plus tools like Pandas, NumPy, and SQL, is essential. Experience defining value-driven AI strategies and guiding teams on best practices is required, along with knowledge of software principles, API development, CI/CD, and AI in More ❯

a DevOps or Cloud Engineering role (3+ years for Mid-Level, 5+ years for Senior). Strong hands-on experience with Microsoft Azure (AKS, App Services, Azure Functions, Azure SQL, Storage, etc.). Solid knowledge of CI/CD pipelines and automation tools (Azure DevOps, GitHub Actions, or Jenkins). Experience with Infrastructure as Code (Terraform, Bicep, or ARM templates More ❯

leading technical teams and projects within an Agile framework. Knowledgeable about AWS and Digital Ocean cloud environments. Experience with Docker, Kubernetes, NGINX, and CI/CD tools. Familiar with SQL and NoSQL databases (for example, PostgreSQL). Able to use monitoring and alerting tools to maintain performance. Clear and considerate communicator, able to explain technical ideas to different audiences. Enjoys More ❯

met Azure Data Factory, Azure Databricks en/of Microsoft Fabric; Goed presterende datamodellen maken, van dimensionaal modelleren tot tweede en derde normaalvorm. Deze modellen worden gemaakt met Python, SQL, PySpark of SparkSQL; Omgevingen van klanten beheren met Azure DevOps. De implementatiescripts en pipelines vallen dus ook onder jouw verantwoordelijkheid. We zoeken collega's die genieten van uitdagingen en afwisseling. More ❯

making. Enforce strong data governance, quality standards, and security protocols across the data estate. What type of candidate do they need? Deep experience in data engineering using Azure, Databricks, SQL, and Azure Data Factory, including medallion architecture. Proven leadership in guiding teams through complex data deliveries and adopting best practices. Strong background in ETL orchestration and hybrid cloud integration. Hands More ❯

making. Enforce strong data governance, quality standards, and security protocols across the data estate. What type of candidate do they need? Deep experience in data engineering using Azure, Databricks, SQL, and Azure Data Factory, including medallion architecture. Proven leadership in guiding teams through complex data deliveries and adopting best practices. Strong background in ETL orchestration and hybrid cloud integration. Hands More ❯

AWS data ecosystem (e.g., S3, AWS Glue, Kinesis, IAM) and a deep understanding of how to build, secure, and optimise a Databricks platform within it. Expert-level Python and SQL skills, specifically for data engineering and optimisation. A "builder" and "leader" mindset: You have experience taking an organisation on a data transformation journey, not just maintaining an existing system. A More ❯