1,101 to 1,125 of 8,219 SQL Jobs

strong understanding of Microsoft’s ecosystem and the ability to translate business needs into smart, scalable solutions. • Proven experience with Microsoft 365 and Power Platform (PowerApps, PowerAutomate, Dataverse) • Strong SQL skills, including data modeling, performance tuning, and ETL processes • Hands-on experience with SharePoint, Teams, and Exchange integration • Experience with Azure DevOps, API integration, and application lifecycle management • Excellent communication More ❯

strong understanding of Microsoft’s ecosystem and the ability to translate business needs into smart, scalable solutions. • Proven experience with Microsoft 365 and Power Platform (PowerApps, PowerAutomate, Dataverse) • Strong SQL skills, including data modeling, performance tuning, and ETL processes • Hands-on experience with SharePoint, Teams, and Exchange integration • Experience with Azure DevOps, API integration, and application lifecycle management • Excellent communication More ❯

ll work with client teams to deliver intelligent data products, leveraging modern cloud and AI technologies. Key Responsibilities Design and implement robust data pipelines and ML workflows using Python, SQL, Spark, and Databricks. Develop and deploy machine learning models (including NLP, deep learning, and agentic AI) in production environments. Integrate data from diverse sources, including streaming and batch ingestion, using More ❯

backend (.NET, C#) and frontend (ReactJS) Proficient in cloud platforms Azure preferred Skilled in designing and consuming REST/GraphQL APIs Strong understanding of data modelling and database technologies (SQL, NoSQL, ADX or similar) Demonstrable experience with DevOps pipelines, CI/CD, and automated testing Knowledge of secure coding practices, OAuth2 authentication, and role-based access control Excellent analytical and More ❯

JSON, REST, SOAP) Testing tools & frameworks (Jasmin/Karma, JUnit, Selenium, Cucumber, Mockito) Experience with Integration patterns and messaging technologies (MQ, Solace, Kafka, RabbitMQ) Extensive experience in ORACLE PLSQL, SQL and performance fine tuning. Strong passion for continuous improvement in its many forms Ability to be flexible and change direction as needed. Strong problem-solving skills with the ability to More ❯

Ability to learn quickly and confidence to start adding value immediately Comfortable with an agile, CI/CD, DevOps environment Excellent communication skills, when collaborating as a team Excellent SQL and data analysis skills Quick-thinking problem solver who is comfortable with rudimentary maths and geometry Skilled at proposing, collaborating, and documenting development strategies Experience with automated testing tools such More ❯

a Data Engineer, with strong expertise in designing and managing large-scale data systems. Hands-on proficiency with modern data technologies such as Spark, Kafka, Airflow, or dbt. Strong SQL skills and experience with cloud platforms (Azure preferred). Solid programming background in Python, Scala, or Java. Knowledge of data warehousing solutions (e.g. Snowflake, BigQuery, Redshift). Strong understanding of More ❯

a Data Engineer, with strong expertise in designing and managing large-scale data systems. Hands-on proficiency with modern data technologies such as Spark, Kafka, Airflow, or dbt. Strong SQL skills and experience with cloud platforms (Azure preferred). Solid programming background in Python, Scala, or Java. Knowledge of data warehousing solutions (e.g. Snowflake, BigQuery, Redshift). Strong understanding of More ❯

craft state-of-the-art data solutions, we're keen to embark on this journey with you. Job Responsibilities Develop, test, and maintain data architectures in Snowflake using Python, SQL, and modern data orchestration frameworks to deliver on business requirements. Uphold data quality standards, implementing tools and frameworks to detect and rectify data inconsistencies and inaccuracies. Optimize pipelines and data More ❯

craft state-of-the-art data solutions, we're keen to embark on this journey with you. Job Responsibilities Develop, test, and maintain data architectures in Snowflake using Python, SQL, and modern data orchestration frameworks to deliver on business requirements. Uphold data quality standards, implementing tools and frameworks to detect and rectify data inconsistencies and inaccuracies. Optimize pipelines and data More ❯

least 8 years of Java development experience. Core Java (Java 17+) Spring Boot Spring Data JPA & Hibernate Spring Security (authentication, authorization, JWT) JUnit & Mockito for testing Relational databases: Azure SQL, Snowflake, Oracle Non-relational databases: Redis, MongoDB Messaging: Kafka Hands-on experience with Docker and Kubernetes Advanced Azure developer skills (knowledge of resources such as AKS, APIM, App Gateway, Front More ❯

Node.js/React), or similar modern languages . Experience building and maintaining RESTful APIs and integrating third-party systems. Understanding of data processing pipelines and data interoperability (JSON, CSV, SQL). Familiarity with cloud environments (e.g., AWS). Strong problem-solving skills, with the ability to work independently and as part of a multi-partner project team. Excellent communication and More ❯

data warehousing, or cloud-based data engineering. Deep technical expertise in the Microsoft ecosystem - Power BI/Fabric, Azure, and Power Platform (Power Apps, Power Automate). Proficiency in SQL and data modelling, with a strong understanding of data governance and performance optimisation. Solid understanding of automation technologies and their application at scale. Experience in Agile delivery environments, balancing quality More ❯

data warehousing, or cloud-based data engineering. Deep technical expertise in the Microsoft ecosystem - Power BI/Fabric, Azure, and Power Platform (Power Apps, Power Automate). Proficiency in SQL and data modelling, with a strong understanding of data governance and performance optimisation. Solid understanding of automation technologies and their application at scale. Experience in Agile delivery environments, balancing quality More ❯

colleagues Industry experience in the retail banking or wider financial services sector Additional technical experience in any of the following – PySpark, Microsoft Azure, VBA, HTML/CSS, JavaScript, JQuery, SQL, PHP, Power Automate, Power BI What we offer A highly competitive salary A genuinely compelling profit share scheme, with the potential to own a significant stake in the business Equity More ❯

business insights and support decision-making. Enforce data quality standards, governance frameworks, and robust security protocols across all data platforms. Requirements Proven expertise in data engineering and using Azure, SQL, and Databricks, including implementing medallion architecture frameworks for scalable, reliable, and governed data solutions. Strong leadership and mentorship capabilities, guiding teams through complex deliveries, fostering collaboration, and ensuring adoption of More ❯

business insights and support decision-making. Enforce data quality standards, governance frameworks, and robust security protocols across all data platforms. Requirements Proven expertise in data engineering and using Azure, SQL, and Databricks, including implementing medallion architecture frameworks for scalable, reliable, and governed data solutions. Strong leadership and mentorship capabilities, guiding teams through complex deliveries, fostering collaboration, and ensuring adoption of More ❯

business insights and support decision-making. Enforce data quality standards, governance frameworks, and robust security protocols across all data platforms. Requirements Proven expertise in data engineering and using Azure, SQL, and Databricks, including implementing medallion architecture frameworks for scalable, reliable, and governed data solutions. Strong leadership and mentorship capabilities, guiding teams through complex deliveries, fostering collaboration, and ensuring adoption of More ❯

business insights and support decision-making. Enforce data quality standards, governance frameworks, and robust security protocols across all data platforms. Requirements Proven expertise in data engineering and using Azure, SQL, and Databricks, including implementing medallion architecture frameworks for scalable, reliable, and governed data solutions. Strong leadership and mentorship capabilities, guiding teams through complex deliveries, fostering collaboration, and ensuring adoption of More ❯

business insights and support decision-making. Enforce data quality standards, governance frameworks, and robust security protocols across all data platforms. Requirements Proven expertise in data engineering and using Azure, SQL, and Databricks, including implementing medallion architecture frameworks for scalable, reliable, and governed data solutions. Strong leadership and mentorship capabilities, guiding teams through complex deliveries, fostering collaboration, and ensuring adoption of More ❯

business insights and support decision-making. Enforce data quality standards, governance frameworks, and robust security protocols across all data platforms. Requirements Proven expertise in data engineering and using Azure, SQL, and Databricks, including implementing medallion architecture frameworks for scalable, reliable, and governed data solutions. Strong leadership and mentorship capabilities, guiding teams through complex deliveries, fostering collaboration, and ensuring adoption of More ❯

build on continued success on a global scale. Key responsibilities Designing, building, deploying and/or managing AI solutions using industry leading approaches across technologies such as Python, Git, SQL and other relevant technologies Engaging with clients at all levels across the organisation both business & technology functions Nurturing long term trusted advisor relationships Training and managing junior staff and client 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 ❯

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 ❯