1,126 to 1,150 of 8,219 SQL Jobs

scalable, secure, and cost-effective cloud-native applications. Understanding machine learning lifecycle, MLOps principles, and responsible AI/ML practices from an application integration perspective. Experience with database technologies (SQL/NoSQL) and data integration patterns. Familiarity with cloud services relevant to application development (e.g., Azure Webapps, Azure Functions, Azure API Management, Azure Cosmos DB, Azure Databricks, Azure ML services More ❯

scalable, secure, and cost-effective cloud-native applications. Understanding machine learning lifecycle, MLOps principles, and responsible AI/ML practices from an application integration perspective. Experience with database technologies (SQL/NoSQL) and data integration patterns. Familiarity with cloud services relevant to application development (e.g., Azure Webapps, Azure Functions, Azure API Management, Azure Cosmos DB, Azure Databricks, Azure ML services More ❯

environments , identify opportunities, and prioritise effectively . Skilled in problem-solving with a discovery-first mindset and a strategic approach to driving results. Proficiency in data analysis tools (e.g., SQL, Python, Tableau, PowerBI, etc.) and ability to interpret and translate complex datasets into actionable insights. Familiarity with technical concepts and proven ability to collaborate effectively with engineering and data science More ❯

more of these technical skills C#/.Net NodeJS Web API Messaging ( Rabbit or Kafka) Kubernetes/Docker AWS/Azure GIT Terraform ORMs eg Entity Framework/NHibernate SQL Document DB REST SOLID TDD Agile/SCRUM Dev Ops CI/CD Experience Experience working as part of Scrum teams, working on green and brownfield solutions using the latest More ❯

scalable, secure, and cost-effective cloud-native applications. Understanding machine learning lifecycle, MLOps principles, and responsible AI/ML practices from an application integration perspective. Experience with database technologies (SQL/NoSQL) and data integration patterns. Familiarity with cloud services relevant to application development (e.g., Azure Webapps, Azure Functions, Azure API Management, Azure Cosmos DB, Azure Databricks, Azure ML services More ❯

working with solution architects and technical teams Preferred Skills: Experience in enterprise systems or large-scale project environments Proficiency in tools such as SharePoint, MS Teams, MS Office Suits, SQL, Salesforce, Azure DevOps Background in data analysis, project delivery, and modeling Ability to mentor junior analysts and contribute to process improvement Comfortable working in a fast-paced, dynamic environment Only More ❯

problems proactively will be critical to project success. What We’re Looking For Technical Skills: Strong experience with Java (1.6/1.8), Spring, REST APIs, and Oracle PL/SQL Solid frontend experience with React (preferred) or JavaScript/TypeScript Knowledge of microservices, Maven, Kubernetes/Docker, and cloud platforms (Azure/AWS) Familiarity with Agile/Scrum methodologies, sprint More ❯

a deep understanding of distributed systems and backend services . Develop and optimise backend services, APIs, and databases to power segmentation, recommendation, targeting, and measurement. Strong knowledge of both SQL and NoSQL databases like PostgreSQL, BigQuery, Cassandra, or DynamoDB. Experience with large-scale data platforms (e.g., Spark, Kafka, Flink, BigQuery) and cloud environments, with a preference for AWS or GCP More ❯

and to structure information residing in the data under analysis hierarchically. Robust knowledge of statistical concepts, accompanied by expertise with a set of analytical tools ranging from databases (e.g. SQL, BigQuery, noSQL) to programming languages (e.g. R, Python, Spark), and from data visualisation (e.g. PowerBI, Tableau) to machine learning. Deep expertise in advanced analytics, data science and traditional analytics. High More ❯

of actively pursuing personal GenAI projects outside of work. Strong Accessibility, Security, Performance and Caching coding. Set yourself apart: Experience with building datastore solutions on at least one No-SQL(Elasticsearch). Proven ability to apply analytical and creative thought and translate into technical solutions. Proven ability to debug and resolve complex technical issues. Excellent leadership, communication (written and oral More ❯

of actively pursuing personal GenAI projects outside of work. Strong Accessibility, Security, Performance and Caching coding. Set yourself apart: Experience with building datastore solutions on at least one No-SQL(Elasticsearch). Proven ability to apply analytical and creative thought and translate into technical solutions. Proven ability to debug and resolve complex technical issues. Excellent leadership, communication (written and oral More ❯

of actively pursuing personal GenAI projects outside of work. Strong Accessibility, Security, Performance and Caching coding. Set yourself apart: Experience with building datastore solutions on at least one No-SQL(Elasticsearch). Proven ability to apply analytical and creative thought and translate into technical solutions. Proven ability to debug and resolve complex technical issues. Excellent leadership, communication (written and oral More ❯

understand their needs and challenges. Skills and experience you need as Senior Data Analyst: Proven experience as a Data Analyst in insurance or financial services, ideally within Claims. Strong SQL skills, experience of using Central Data platforms, data tools such as Excel and Power BI. Experience with Agile delivery methodologies and working in cross-functional squads. Knowledge of SAS and More ❯

engineering within capital markets; proven delivery of research to production quant solutions at scale. Demonstrable experience with large scale datasets, data engineering workflows, and production automation. Python (production grade), SQL, Linux; strong software engineering (testing, type hints, code review, packaging). Cloud (AWS/Azure/GCP), CI/CD, Docker/Kubernetes; workflow orchestration (Airflow/Prefect); experiment tracking More ❯

experience testing APIs, microservices, and complex distributed systems, including performance and security aspects. Extensive experience with Agile/Scrum environments and modern software development processes. Strong understanding of XML, SQL Scripting, Oracle, database technologies, and application ecosystems (REST API's, SDK's, JSON, etc). Exceptional written and verbal communication skills; ability to present complex ideas clearly to both technical More ❯

ll likely bring: Experience in senior analytics or insights roles. Proven success in leading and developing high-performing teams. Strong expertise in data analysis, statistical modelling, and visualisation tools (SQL, R, Python, Power BI). Experience with data warehousing and BI platforms. Excellent communication and storytelling skills, with the ability to influence at senior levels. A strategic mindset, with a More ❯

ll likely bring: Experience in senior analytics or insights roles. Proven success in leading and developing high-performing teams. Strong expertise in data analysis, statistical modelling, and visualisation tools (SQL, R, Python, Power BI). Experience with data warehousing and BI platforms. Excellent communication and storytelling skills, with the ability to influence at senior levels. A strategic mindset, with a More ❯

/ML Technologies: Deep learning, NLP, computer vision, reinforcement learning, generative AI (LLMs, diffusion models) Cloud Platforms: AWS (SageMaker, Bedrock), Azure (AI Services, OpenAI), GCP (Vertex AI) Data Technologies: SQL/NoSQL databases, data warehouses, data lakes, streaming platforms MLOps Tools: MLflow, Kubeflow, DVC, model registries Architecture: Microservices, API design, event-driven architectures, serverless Programming: Python, and familiarity with other More ❯

parametric (e.g. logit/probit) and non parametric (e.g. random forest, neural net) techniques as well as wider ML techniques like clustering/random forest (desirable). Tech Stack: SQL, Python, R, Tableau, AWS Athena + More! More information: Enjoy fantastic perks like private healthcare & dental insurance, a generous work from abroad policy, 2-for 1 share purchase plans, an More ❯

and CI/CD processes. Engage in working groups and communities of practice to support the development team About You Extensive professional experience with Java 11+, Springboot, RDBMS and SQL Experience with unit, integration, and end-to-end testing tools and practices Experience with CI/CD and Trunk Based Development Advocate for observability, experienced in monitoring, logging, and tracing More ❯

initiatives simultaneously, balancing tactical execution with strategic vision. - Drive standardization and automation of reporting across pricing KPIs. DIMENSIONS AND ASPECTS Technical expertise : Proven hands-on experience with PySpark, Python, SQL, and BI tools (Power BI or Tableau), with advanced Excel skills for rapid analysis. Analytical leadership : Demonstrated ability to proactively identify new opportunities, design models/experiments, and deliver insights More ❯

initiatives simultaneously, balancing tactical execution with strategic vision. - Drive standardization and automation of reporting across pricing KPIs. DIMENSIONS AND ASPECTS Technical expertise : Proven hands-on experience with PySpark, Python, SQL, and BI tools (Power BI or Tableau), with advanced Excel skills for rapid analysis. Analytical leadership : Demonstrated ability to proactively identify new opportunities, design models/experiments, and deliver insights More ❯

initiatives simultaneously, balancing tactical execution with strategic vision. - Drive standardization and automation of reporting across pricing KPIs. DIMENSIONS AND ASPECTS Technical expertise : Proven hands-on experience with PySpark, Python, SQL, and BI tools (Power BI or Tableau), with advanced Excel skills for rapid analysis. Analytical leadership : Demonstrated ability to proactively identify new opportunities, design models/experiments, and deliver insights More ❯

initiatives simultaneously, balancing tactical execution with strategic vision. - Drive standardization and automation of reporting across pricing KPIs. DIMENSIONS AND ASPECTS Technical expertise : Proven hands-on experience with PySpark, Python, SQL, and BI tools (Power BI or Tableau), with advanced Excel skills for rapid analysis. Analytical leadership : Demonstrated ability to proactively identify new opportunities, design models/experiments, and deliver insights More ❯

initiatives simultaneously, balancing tactical execution with strategic vision. - Drive standardization and automation of reporting across pricing KPIs. DIMENSIONS AND ASPECTS Technical expertise : Proven hands-on experience with PySpark, Python, SQL, and BI tools (Power BI or Tableau), with advanced Excel skills for rapid analysis. Analytical leadership : Demonstrated ability to proactively identify new opportunities, design models/experiments, and deliver insights More ❯