126 to 150 of 6,337 SQL Jobs

Power BI & Data Visualization: Design and develop Power BI dashboards and reports that transform raw data into insightful visual artifacts. Connect and integrate data from multiple sources, including SharePoint, SQL databases, and cloud services. Utilize DAX (Data Analysis Expressions) and Power Query to create meaningful data models. Collaborate with stakeholders to understand business needs and translate them into impactful visual … and visualization best practices. Experience with SharePoint Framework (SPFx), JavaScript, TypeScript, React, and REST APIs. Strong knowledge of Microsoft 365 services, including Teams, OneDrive, and Exchange integration. Familiarity with SQL Server, Azure, and API integration for data retrieval and reporting. Experience with SharePoint security, governance, and compliance policies. Ability to troubleshoot technical issues and provide innovative solutions. Excellent communication skills More ❯

delivering data solutions using Databricks on Azure or AWS. Databricks Components : Proficient in Delta Lake, Unity Catalog, MLflow, and other core Databricks tools. Programming & Query Languages : Strong skills in SQL and Apache Spark (Scala or Python). Relational Databases : Experience with on-premises and cloud-based SQL databases. Data Engineering Techniques : Skilled in Data Governance, Architecture, Data Modelling, ETL/ More ❯

colleagues on how to best utilise dashboards and reports created in the team, creating a culture of data literacy. Profile A successful Business Intelligence Analyst should have: Proficiency in SQL, Excel, Power BI and DAX is essential, as these tools are integral to the role. Desirable to have knowledge and expertise in programming languages such as Python and R. Experience … working with cloud-based data platforms, such as Snowflake or Databricks is preferred. Expertise in using T-SQL to interrogate and extract data through complex queries and stored procedures. A comprehensive understanding of databases, query optimisation, load monitoring, the Microsoft BI Stack and ETL frameworks. Technical expertise in data mining, data auditing, and segmentation. Experience building reusable data models, ideally More ❯

colleagues on how to best utilise dashboards and reports created in the team, creating a culture of data literacy. Profile A successful Business Intelligence Analyst should have: · Proficiency in SQL, Excel, Power BI and DAX is essential, as these tools are integral to the role. Desirable to have knowledge and expertise in programming languages such as Python and R. · Experience … working with cloud-based data platforms, such as Snowflake or Databricks is preferred. · Expertise in using T-SQL to interrogate and extract data through complex queries and stored procedures. · A comprehensive understanding of databases, query optimisation, load monitoring, the Microsoft BI Stack and ETL frameworks. · Technical expertise in data mining, data auditing, and segmentation. · Experience building reusable data models, ideally More ❯

collection and reporting processes using Python, R, or SQL. Data Cleaning and Preparation; Analytics Processes Handle missing or inconsistent data. Format and structure data for analysis. Use tools like SQL, Excel, R, Python for wrangling. Provide support for analytics processes, methods and tools to ensure maximum efficiency, accuracy, and security. Create processes to validate data across several datasets. Manipulate and … fluency with all Microsoft packages, particularly Excel, Word, PowerPoint, PowerBi. Experience in R programming language, including RShiny and/o RMarkdown. Knowledge and proficiency in working with database systems (SQL/PostgreSQL) and writing performant SQL queries. Experience in data manipulation, data cleaning and preparation. Experience in data analysis and interpretation, data modelling. Experience in data visualisation. Ability to meet More ❯

given to business background and acumen An understanding of BI and/or Data Warehousing concepts and methodologies, and experience using major Business Intelligence tool(s) Confident ability in SQL and Tableau Good oral and written communication skills, with a demonstrated ability to build positive, productive interpersonal relationships with stakeholders Ability to create and present analyses and reports. As well … the global BI team to deliver key business objectives Degree in Business Analytics or Technology, Computer Science, Math, Statistics or equivalent experience You will need to have: Proficiency in SQL, Tableau (or other Visualisation tool) and R or Python. Deep expertise in the analysis of traffic across a wide variety of digital channels, and the production of complex attribution models More ❯

You will work with the following tech stack; Angular, Spring Boot, Flutter, Kubernetes, Gradle, iOS & Android (Native), Firebase and the following languages; Dart, Java, JavaScript/TypeScript, Swift, Postgres SQL, Groovy, HTML/CSS, Tool Command Language (TCL). Roles and Responsibilities Design, develop, and maintain responsive web and mobile applications Collaborate with cross-functional teams to define, design, and More ❯

provide training on data tools and workflows. Skills and experience • Experience in building ELT/ETL pipelines and managing data workflows. • Proficiency in programming languages such as PySPark, Python, SQL, or Scala. • Solid understanding of data modelling and relational database concepts. • Knowledge of GDPR and UK data protection regulations. Preferred Skills: • Experience with Power BI for data visualization and reporting. More ❯

secure data pipelines using NiFi and related big data technologies. Troubleshoot and optimize NiFi flows, including performance tuning, error resolution, and flow control. Integrate NiFi with cloud platforms, databases (SQL & NoSQL), APIs, and third-party systems. Ensure compliance with regulatory and security requirements across data storage, transfer, and access layers. Support data migration efforts and implement disaster recovery protocols. Continuously … SQL. Experience with C# and Scala is a plus. Experience with ETL tools and big data platforms. Knowledge of data modeling, replication, and query optimization. Hands-on experience with SQL and NoSQL databases is desirable. Familiarity with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery) would be beneficial. Data Platform Management: Comfortable operating in hybrid environments (cloud and on-prem). More ❯

scalable data pipelines to serve the easyJet analyst and data science community. Highly competent hands-on experience with relevant Data Engineering technologies, such as Databricks, Spark, Spark API, Python, SQL Server, Scala. Work with data scientists, machine learning engineers and DevOps engineers to develop, develop and deploymachine learning models and algorithms aimed at addressing specific business challenges and opportunities. Coach … and software deployment automation with GitHub actions or Azure DevOps. Experience in testing automation of data transformation pipelines, using frameworks like Pytest or dbt Unit Test. Comfortable writing efficient SQL and debugging. Data warehouse operations and tunning experience in schema evolution, indexing, partitioning. Hands-on IaC development experience with Terraform or CloudFormation. Understanding of ML development workflow and knowledge of More ❯

develop, and maintain data-driven applications and services that integrate with banking systems Build data pipelines and maintain automation frameworks to streamline operational workflows and reduce manual intervention. Leverage SQL to build data models, optimize queries, and manage structured data in relational databases and cloud platforms Provides highest degree of technical engineering and support to the team. Collaborate with product … perform the essential functions. Bachelor's Degree or equivalent work experience: Information Technology or equivalent field. 9+ Years Information Technology, Technical Application Development, or similar experience. Strong command of SQL and experience with relational databases (e.g., PostgreSQL, MySQL, Oracle, Snowflake). Knowledge of automation frameworks such as Power Automate, Python scripting, or equivalent. Hands-on experience with cloud platforms (e.g. More ❯

develop, and maintain data-driven applications and services that integrate with banking systems Build data pipelines and maintain automation frameworks to streamline operational workflows and reduce manual intervention. Leverage SQL to build data models, optimize queries, and manage structured data in relational databases and cloud platforms Provides highest degree of technical engineering and support to the team. Collaborate with product … perform the essential functions. Bachelor's Degree or equivalent work experience: Information Technology or equivalent field. 9+ Years Information Technology, Technical Application Development, or similar experience. Strong command of SQL and experience with relational databases (e.g., PostgreSQL, MySQL, Oracle, Snowflake). Knowledge of automation frameworks such as Power Automate, Python scripting, or equivalent. Hands-on experience with cloud platforms (e.g. More ❯

and innovative applications using Power Apps, Power Automate, Power BI, and Copilot Studio-supporting both operational and strategic business needs. Implement intelligent automation and data integration strategies using Azure, SQL, and custom connectors to streamline workflows across Back Office, Front Office, and Field-Based teams. Establish and maintain best practices for ALM, GitHub-based CI/CD pipelines, and Power … developers, while supporting SMCR/FCA audit readiness through robust data solutions and promoting a culture of innovation and continuous improvement. What are we looking for: Strong command of SQL, Python, Azure (Functions, Logic Apps, Key Vault), GitHub, and AI/ML technologies-enabling intelligent automation, data modelling, and cloud-native development Extensive knowledge of Power Apps (Canvas & Model-Driven More ❯

Advanced Power BI skills, including DAX, Power Query (M), and custom visuals. Strong experience in data transformation and modelling . Proven ability in data integration across multiple sources (Snowflake, SQL, APIs, Excel, etc.). Experience working in or with the defence, government, or public sector is highly desirable. Knowledge of Data Warehousing concepts and practices. Familiarity with Agile methodologies and More ❯

Advanced Power BI skills, including DAX, Power Query (M), and custom visuals. Strong experience in data transformation and modelling . Proven ability in data integration across multiple sources (Snowflake, SQL, APIs, Excel, etc.). Experience working in or with the defence, government, or public sector is highly desirable. Knowledge of Data Warehousing concepts and practices. Familiarity with Agile methodologies and More ❯

geometries), support automation, and carry out accuracy checks on transformed datasets What You’ll Bring: Proven experience as a Data Analyst in a data-focused, engineering-led environment Strong SQL skills and a working knowledge of data visualisation platforms (Power BI, Tableau, Looker, etc.) Hands-on experience with large datasets and a strong analytical mindset Familiarity with geospatial data and More ❯

with performance tuning and troubleshooting in complex environments. Data Systems Knowledge: Exposure to working in data-centric environments, supporting ETL/ELT pipelines or data processing services. Familiarity with SQL and NoSQL databases. Understanding of data privacy and security concepts. Tooling & Infrastructure: Experience with CI/CD pipelines, containerization (Docker/Kubernetes), and version control systems (e.g., Git). Ways More ❯

an attention to detail Experience designing data warehouse technical architectures and infrastructure components Experience deploying could data infrastructure services Programming experience in Python Experience writing, troubleshooting, and debugging advanced SQL queries Outstanding analytical and problem-solving skills Experience working with ETL/ELT, and reporting and analytic tools Skills and experience we’d love you to have... But if not More ❯

modern data engineering and reporting. Including storage, data pipelines to ingest and transform data, and querying & reporting of analytical data. You've worked with technologies such as Python, Spark, SQL, Pyspark, PowerBI etc. You're a problem-solver, pragmatically exploring options and finding effective solutions. An understanding of how to design and build well-structured, maintainable systems. Strong communication skills More ❯

record building Power BI dashboards and reports, including data modelling and DAX measures. Familiarity with Python or R for data manipulation and lightweight ETL scripting would be beneficial plus SQL skills for querying both relational and semi‐structured data. Practical knowledge of one or more CPO platform would be helpful, with knowledge of the EV charging market, specifically ultra-rapid More ❯

Proven experience in the energy trading sector, ideally with exposure to Natural Gas and Power markets, balancing mechanisms, and regulatory frameworks (e.g., REMIT, EMIR). Expert in Python and SQL; strong experience with data engineering libraries (e.g., Pandas, PySpark, Dask). Deep knowledge of ETL/ELT frameworks and orchestration tools (e.g., Airflow, Azure Data Factory, Dagster). Proficient in More ❯

as a means to solve challenges. Proficiency in a programming language (e.g., Scala, Python, Java, C#) with understanding of domain modelling and application development. Knowledge of data management platforms (SQL, NoSQL, Spark/Databricks). Experience with modern engineering tools (Git, CI/CD), cloud platforms (Azure, AWS), and Infrastructure as Code (Terraform, Pulumi). Familiarity with various frameworks across More ❯

with performance tuning and troubleshooting in complex environments. Data Systems Knowledge: Exposure to working in data-centric environments, supporting ETL/ELT pipelines or data processing services. Familiarity with SQL and NoSQL databases. Understanding of data privacy and security concepts. Tooling & Infrastructure: Experience with CI/CD pipelines, containerization (Docker/Kubernetes), and version control systems (e.g., Git). Ways More ❯

XML Processing Experience with developer Marklogic Entity Model Experience with building Marklogic data hub Experience with Unix/Shell scripting. Significant experience Java and data processing, manipulation or querying (SQL or NoSQL) Significant experience with common Agile practices, service-orientated environments, and development practices Significant experience in the software development lifecycle, with experience delivering within DevOps toolsets/practices Direct More ❯

Processing Experience with developer Marklogic Entity Model Experience with building Marklogic data hub Experience with Unix/Shell scripting. In-depth experience Java and data processing, manipulation or querying (SQL or NoSQL) Proficient with common Agile practices, service-orientated environments, and development practices In-depth experience in the software development lifecycle, with experience delivering within DevOps toolsets/practices Direct More ❯