1 to 25 of 15,691 SQL Jobs

services such as Azure Synapse Analytics, Azure Data Factory, Azure DataBricks, and Event Hub. This role also involves designing, building, and operating the data layer on Azure Synapse Analytics, SQL DW, and Cosmos DB. The data engineer is proficient in Azure Data Platform components, including ADLS2, Blob Storage, SQLDW, Synapse Analytics with Spark and SQL, Azure functions with Python, Azure … s Degree Required Technical And Professional Expertise Commercial experience as a Data Engineer or similar role, with a strong emphasis on Azure technologies. Proficiency in Azure data services (Azure SQL Database, Azure Synapse Analytics, Azure Data Factory, Azure Databricks). Experience with data modeling, data warehousing, and big data processing (Hadoop, Spark, Kafka). Strong understanding of SQL and NoSQL More ❯

and manage advanced Power BI dashboards, reports, and datasets tailored to business needs. Build optimized data models (star snowflake schemas) using Power BI and integrate with diverse data sources (SQL, Azure, Excel, APIs, etc.). Lead BI projects from requirements gathering to deployment, working with cross-functional teams. Perform data analysis, profiling, cleansing, and transformation to ensure high data quality … troubleshoot issues with existing scripts Preferred Qualifications: Advanced proficiency in DAX, Power Query (M language), and Power BI Service. Strong knowledge of data warehousing, ETL processes, and relational databases (SQL Server, Azure Synapse, etc.) Experience with Power BI gateways, dataflows, and enterprise-level deployment strategies. Proven ability to analyze complex datasets and design intuitive, impactful dashboards. Solid understanding of data More ❯

to join a growing team to deliver a large data modernisation programme. As a Data Services Data Engineer, you will be responsible for designing, developing, and maintaining our MS SQL Server Data Warehouses and associated data feeds into and out of the warehouses, and developing on our new modern cloud data platform, requiring Snowflake, dbt and Azure Data Factory experience. … of the wealth management industry, including products & services and the associated data, is a plus. Key Responsibilities • Design, develop, and implement data warehouse solutions using Snowflake, Azure, and MS SQL Server. • Develop data models and database schemas that support reporting and analytics needs. • Extensive use of and fully conversant in SQL. • Experience working with programming languages like C#, Python, Java … develop, and deploy SSIS packages and ADF pipelines. • Manage and troubleshoot SSIS packages and ADF pipelines, ensuring data integrity and error handling is robust. • Creation and maintenance of complex SQL stored procedures. • Integrate data from various sources, including flat files, REST/SOAP APIs, and third-party databases, into the data warehouse/platform. • Develop and maintain complex stored procedures More ❯

services such as Azure Synapse Analytics, Azure Data Factory, Azure DataBricks, and Event Hub. This role also involves designing, building, and operating the data layer on Azure Synapse Analytics, SQL DW, and Cosmos DB. The data engineer is proficient in Azure Data Platform components, including ADLS2, Blob Storage, SQLDW, Synapse Analytics with Spark and SQL, Azure functions with Python, Azure … s Degree Required Technical And Professional Expertise Commercial experience as a Data Engineer or similar role, with a strong emphasis on Azure technologies. Proficiency in Azure data services (Azure SQL Database, Azure Synapse Analytics, Azure Data Factory, Azure Databricks). Experience with data modeling, data warehousing, and big data processing (Hadoop, Spark, Kafka). Strong understanding of SQL and NoSQL More ❯

services such as Azure Synapse Analytics, Azure Data Factory, Azure DataBricks, and Event Hub. This role also involves designing, building, and operating the data layer on Azure Synapse Analytics, SQL DW, and Cosmos DB. The data engineer is proficient in Azure Data Platform components, including ADLS2, Blob Storage, SQLDW, Synapse Analytics with Spark and SQL, Azure functions with Python, Azure … s Degree Required Technical And Professional Expertise Commercial experience as a Data Engineer or similar role, with a strong emphasis on Azure technologies. Proficiency in Azure data services (Azure SQL Database, Azure Synapse Analytics, Azure Data Factory, Azure Databricks). Experience with data modeling, data warehousing, and big data processing (Hadoop, Spark, Kafka). Strong understanding of SQL and NoSQL More ❯

services such as Azure Synapse Analytics, Azure Data Factory, Azure DataBricks, and Event Hub. This role also involves designing, building, and operating the data layer on Azure Synapse Analytics, SQL DW, and Cosmos DB. The data engineer is proficient in Azure Data Platform components, including ADLS2, Blob Storage, SQLDW, Synapse Analytics with Spark and SQL, Azure functions with Python, Azure … s Degree Required Technical And Professional Expertise Commercial experience as a Data Engineer or similar role, with a strong emphasis on Azure technologies. Proficiency in Azure data services (Azure SQL Database, Azure Synapse Analytics, Azure Data Factory, Azure Databricks). Experience with data modeling, data warehousing, and big data processing (Hadoop, Spark, Kafka). Strong understanding of SQL and NoSQL More ❯

permanent role will lead a squad focused on delivering robust data solutions across our five businesses. You will leverage your deep expertise in traditional data engineering (database design, T-SQL) and Microsoft Azure's data services (Data Factory, Power BI, and pipelines) to address complex business challenges. We are looking for a candidate who can effectively translate business requirements into … stakeholders, and ensuring alignment with business objectives The Person Essential: Minimum 5+ years of experience in designing and implementing data ETL processes and design Expert-level proficiency in T-SQL, SSIS, and the Microsoft data stack (SQL Server, Azure SQL Database) Proven proficiency in Azure Data Factory Proven experience in designing and implementing data models and database schemas for complex More ❯

following technical stack * Angular 13+ with DevExtreme UI library desirable * Playwright, ReadyAPI and Specflow. * Jira, Github, Confluence * Nice to have - * C# and .NET6+ * Rest API's and Microservice architecture * SQL Server Database, NHibernate or Entity Framework Demonstrate expertise of: * * Building modern-web applications * Modern UI design principles. i.e. Able to take initial design direction and interpret those guidelines to finalise … the design through to a solution * Restful API Design and development fundamentals * Good SQL knowledge * Test case preparation and execution EDUCATION & EXPERIENCE REQUIREMENTS * * 8-10 years' experience designing and developing applications both individually and as part of a team * Familiarity with energy or financial trading environment * Strong inter-personal and communication skills (both verbal and written) * Strong problem-solving skills More ❯

connectors and working with REST/SOAP APIs and Azure functions Familiarity with Azure ecosystem including Azure Logic Apps, Functions, Service Bus and Entra ID for SSO Understanding of SQL databases (Azure SQL, SQL Server) Deep understanding of the Power Platform Centre of Excellence Toolkit, including setup & installation, usage and general Power Platform administration best practices Creating and managing Power More ❯

/Scrum ways of working and participation in sprint ceremonies Exposure to ETL/ELT pipelines, data modelling, or ML/AI workloads. Skills/Aptitude: Programming in Python, SQL, C#, and/or React (or similar); ability to write clean, maintainable code. Proficient with Git, Azure DevOps or GitHub; comfortable with CLI tools. Strong analytical thinking, problem-solving and More ❯

Java development, including Spring Framework, Spring Boot, and JVM optimisation techniques for high-performance applications. Database Management : Proficiency with both relational databases (Oracle, PostgreSQL) and NoSQL solutions, with strong SQL skills and data modelling capabilities. API Development : Strong capabilities in designing and implementing RESTful APIs with a focus on security, performance, and usability. Master Data Concepts : Understanding of master data More ❯

governance initiative by developing an exceptional reports Model business logic, extract key performance metrics, and create reusable data structures. Maintain data so that it remains available and usable,e.g. SQL (Basic, Advanced modelling, Efficient, Big Data and Programmatic) Support Data munging such as reshaping, aggregating, joining disparate sources, small-scale ETL, API interaction, and automation, e.g. Python Support the data … satisfaction, and more Role Requirements Degree-level education in the relevant subject (e.g. finance, maths, physics, etc.) Other beneficial qualifications (e.g. MBA, CFA, etc.) Proficient in Structured Query Language (SQL), Critical Thinking, R or Python-Statistical Programming, Data Visualisation, Presentation Skills, Machine Learning & Data Science techniques, Econometrics Strong Data Mapping skills, knowledge of Data Warehousing Concepts, and Logical Modelling Skills. … Skills and Abilities Platforms & Tools Cloud Computing platforms (ADLS Gen2), Microsoft Stack (Synapse, DataBricks, Fabric, Profisee), Azure Service Bus, Power BI, DeltaLake, Azure DevOps, Azure Monitor, Azure Data Factory, SQL Server, Azure DataLake Storage, Azure App service, Azure ML is a plus Languages: Python, SQL, T-SQL, SSIS DB: Azure SQL Database, Cosmos DB, NoSQL, Methodologies: Agile, DevOps must have More ❯

e.g., Workato, Celigo, Boomi, MuleSoft), particularly in mid-market enterprise integration scenarios. Deep experience with the design, development, implementation and support of cloud- data platforms such as Snowflake, Azure SQL Database, Databricks, Microsoft Fabric or Azure Synapse Analytics. Demonstrated success implementing data governance programs with tools like Collibra, Alation, Microsoft Purview, or Informatica, including projects around lineage, cataloging, and quality … rules. Strong hands-on development experience in SQL and Python, with working knowledge of Spark or other distributed data processing frameworks. Design, development and implementation of distributed data solutions using API and microservice-based architecture. Deep understanding of ETL/ELT architecture, streaming, and event-driven processing; familiarity with tools like dbt, Airflow, Kafka, or equivalents. Familiarity with mid-sized More ❯

IF YOU HAVE THE FOLLOWING SKILLS AND QUALITIES: Significant experience with Snowflake, DBT, Python Dagster, Airflow or similar orchestrating tool Knowledge of additional technologies is a plus: Azure, Microsoft SQL Server, Power BI Strong proficiency in SQL & Python Familiarity with additional languages is a plus: Javascript/Node.js, Java Experience working with marketing or customer data is a plus Understanding More ❯

to drive business insights. Experience in Oracle Cloud ERP, HCM, or SCM data structures, with the ability to integrate multiple Oracle Cloud modules. Hands-on experience with PL/SQL, data transformations, and BI Publisher, as well as Oracle’s built-in analytics tools. Strong understanding of business intelligence principles, including trend analysis, forecasting, and predictive analytics. Ability to independently More ❯

relevant technical strategies, principles and standards are appliedcorrectly. Contribute to application, technical, and data architecture design principles. Required Knowledge : Expert knowledge and experience of software development in Java and SQL for reporting applications. Good knowledge and experienced of Spring-boot and Spring-batch application development. Expert knowledge of data frameworks, data modelling, database design, SQL, Stored Procedures, MDX, and APIs. … Good knowledge and experience of reporting technical stack MS SQL Server, SSRS, PowerBI, SSAS, PostgreSQL. Knowledge of integration and ETL technologies Informatica ETL, Spring-Batch and SSIS. Good experience of managing software development teams, process and tools. Good knowledge and experience of software engineering design, development, build, and test process and practice. Good experience in agile delivery and ceremonies e.g. More ❯

field of study 5+ years of experience in data engineering, with a strong focus on Azure cloud services across a mixture of Enterprise and SME environments Proficiency in Python, SQL, Azure Data Factory, Azure Synapse Analytics, Azure Data Lakes, and big data technologies like Apache Spark Experience with DevOps practices and CI/CD pipelines in an Azure environment is More ❯

about technology including our chosen technology stack (Microsoft development stack, Azure Cloud computing, Data Engineering technologies) – having already worked with Azure tools or having an established background in MS SQL database technologies. Experience of, or an interest in learning about, AI and the development of custom copilot applications Self-motivated, with a drive to learn and share knowledge and focused More ❯

Warehousing, or programming within a dynamic (software) project environment. Data Infrastructure and Engineering Foundations: Data Warehousing: Knowledge of tools like Snowflake, DataBricks, ClickHouse and traditional platforms like PostgreSQL or SQL Server. ETL/ELT Development: Expertise in building pipelines using tools like Apache Airflow, dbt, Dagster. Cloud providers: Proficiency in Microsoft Azure or AWS. Programming and Scripting: Programming Languages: Strong … skills in Python and SQL. Data Modeling and Query Optimization: Data Modeling: Designing star/snowflake schemas and understanding normalization and denormalization. SQL Expertise: Writing efficient queries and optimizing for performance. DevOps and CI/CD: Version Control: Using Git and platforms like GitHub, GitLab, or Bitbucket. Data Governance and Security: Data Quality: Ensuring accuracy, completeness, and consistency applying validation More ❯

performance, scalability, and reliability. Required Skills Python for data engineering (e.g., pandas, NumPy, pyodbc, SQLAlchemy, etc.) Strong experience in Power BI (DAX, Power Query, data modeling, publishing dashboards) Advanced SQL skills (joins, CTEs, indexing, optimization) Experience with relational databases (e.g., SQL Server, PostgreSQL, MySQL) Understanding of ETL/ELT principles , data architecture, and data warehouse concepts Familiarity with APIs, RESTful More ❯

impact through data engineering, software development, or analytics Demonstrated success in launching and scaling technical products or platforms Strong programming skills in at least two of the following: Python, SQL, Java Commercial experience in client-facing projects is a plus, especially within multi-disciplinary teams Deep knowledge of database technologies: Distributed systems (e.g., Spark, Hadoop, EMR) RDBMS (e.g., SQL Server More ❯

Engineer: Provide clean, tested, transformed and modelled data in a way that empowers end users. Deliver impactful data products and dashboards with limited senior support, using tools such as SQL, Power BI, MS Fabric, Tableau. Enhance and maintain existing data products and data pipelines using the appropriate technologies. Apply software engineering best practices like version control and CI/CD … and ensure we stay true to our Customers, Owners and Colleagues alike. Essential Experience: Bachelor's degree in a numerate discipline or an equivalent analytical apprenticeship Strong proficiency in SQL Good understanding of ETL/ELT processes Exposure to Python or any other object-oriented programming languages Experience with modern data stack tools and cloud-based data warehouses like MS … Experience using JIRA and Bitbucket or GitHub Other Useful Experience: Experience with Apache Kafka (or any other data streaming technologies) Experience with AWS products (S3, Athena, etc) Experience with SQL Server data warehousing (SQL Server, SSIS and SSAS). Forge Holiday Groups Company Benefits Annual STIP Company-wide Bonus Scheme offering up to an additional 10% of your salary through More ❯

data requirements and carry out data analysis to ensure alignment with audit objectives. • Perform data validation, integrity checks, and governance to ensure consistency and compliance with regulatory requirements. • Utilize SQL, data modeling tools (e.g., Erwin, Visio), and scripting languages to define and implement database solutions. • Develop and maintain data dictionaries, metadata management, and schema documentation. • Document data structures, business logic … 5+ years of experience (hands on) in one or more of these disciplines - data engineering/data modeling & data architecture/database design/data science & analytics • Expertise in SQL & Database design constructs, entity relationship modeling, dimensional modeling. • Experience in Relational and NoSQL databases (e.g., Oracle, Sybase, SQL Server, PostgreSQL, MongoDB) • Experienced in big data technologies like Hadoop & Snowflake • Prior … experience of working with ETL tools or as a SQL developer. • Hands-on experience working with reporting and analytics tools such as Tableau and Python • Familiarity with cloud platforms (AWS, Azure, or GCP) • Knowledge of internal audit processes, risk management, and compliance frameworks is highly desirable. • Strong problem-solving, analytical, and critical-thinking skills. • Excellent communication and collaboration skills to 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 ❯

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 ❯