26 to 50 of 2,220 Remote SQL Jobs

of implementing ETL processes Experience of integrating multiple systems in one data warehouse Design and document processes, data flows, lineage Planning and scheduling of data warehouse routines Technical Skills - SQL Server Database Develop SQL server database solutions Advanced knowledge of writing SQL queries, stored procedures and functions using T-SQL Analyse existing SQL queries, debug issues and improve Performance optimization … indexing Experience using database mail (dbmail) SQL Server job agent Comfortable working with structured and semi-structured data files (CSV, Excel, XML, JSON). Technical Skills - Power BI Prototype, design, develop and publish Power BI Reports Develop Power BI Data models and recommend best practices for report creation and visualisations Use different Power BI visuals, data transformation module, Power query … including Python (data manipulation, automation scripts, API integration). Able to work with REST APIs to consume external data, such as risk models or compliance checks, and integrate into SQL or Power BI. Familiarity with version control systems (e.g., Git) and working within structured development environments. Use of Power Apps and Power Automate to build no-code/low-code More ❯

diverse, and the post holder should be prepared to use the right tool for the job. The type of skills relevant to the role are (but not limited to) SQL, ETL, SQL Server 2022 (including SSIS), PowerShell, C#, Azure, DevOps, Git, Power BI, Power Automate, Automated Testing, Kanban/Scrum. Digital change within the NHS is gathering pace, and a … employees. We welcome applications from people in all under-represented groups. Job description Job responsibilities Design, develop and test solutions using a range of technologies and platforms, but primarily SQL and SQL Server Implement data solutions that handle concerns such as ETL, data quality, duplication, different formats and data structures, performance, and scalability Make effective use of development practices such More ❯

Computer Science, Data Science, or a related field. Minimum 4 years of experience years of experience in data engineering, data integration, or a related role. Technical Skills: Proficiency with SQL (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g. MongoDB), with hands-on experience in query optimization and data modelling. Strong programming skills in Python (preferred), with a focus on building scalable More ❯

as sprint planning, story refinement, and backlog grooming. Required Skills & Experience 5+ years of experience as a data or business analyst in a trading or energy environment. Proficiency in SQL and Python for data querying and transformation. Solid background in data reconciliation, testing, and profiling . Experience with relational databases and data warehousing concepts. Exposure to market data and financial More ❯

team members and the wider business community. About the Candidate The ideal candidate will possess the following: Expert in the Microsoft Azure Stack. Experience using data tools such as SQL, Excel, or Python. Expertise in delivering data models within data visualisation tools, ideally with Power BI exposure. Strong communication and organisation skills. Strong analytical thinking and problem-solving skills. Ability More ❯

Computer Science, Computer Engineering, Information Technology, Information Systems, or a related technical discipline. Experience with application technologies (J2EE, .NET, Citrix, Microservices). Experience with database technologies (Oracle, DB2, MS SQL). Good understanding of distributed applications. Good understanding of web and enterprise applications. Ability to address complex application environments to provide customers with clear guidance on implementation strategy and potential More ❯

and have excellent communication skills. The ideal candidate will have the following; Expertise in C#, .NET Framework/.NET Core & ASP.NET Proficient in HTML, JavaScript & CSS Proficient in T-SQL Knowledge of a JavaScript/Typescript framework preferable, e.g., React Knowledge of UI/UX standards, trends, and emerging technologies Experience integrating with other systems through web services, e.g., REST More ❯

testing basics Accessibility testing knowledge Test data management Test environment configuration Additional Technical Skills CI/CD integration experience, Azure DevOps preferred Basic understanding of .NET and React applications SQL knowledge for database validation Container testing with Docker Basic Kubernetes knowledge for testing deployed applications Observability tools for test monitoring Experience with test reporting tools AI-powered testing tools experience More ❯

record of leading and managing technical teams, with excellent people development skills. Strong project management skills, with experience running complex data initiatives. Strong knowledge of modern data engineering, including SQL, Python, Airflow, Dataform/DBT, Terraform, or similar tools. Understanding of data architecture patterns (e.g., lakehouse, event-driven pipelines, star/snowflake schemas). Excellent communication and stakeholder management skills. More ❯

money and are looking for someone who can be passionate about making a difference. The team works with a number of technologies and practices, including: C#, .NET, MVC, OOD SQL, SQL Server .NET Core, Angular, jQuery Bootstrap, TypeScript AWS Cloud Dependency Injection TeamCity, GIT, JIRA We are an inclusive and supportive organisation where ideas, suggestions and growth are actively encouraged. … Patterns and Clean Code Good knowledge of Web architecture: Client-server model Three tier model Service Oriented Architecture (SOA) Micro Services Knowledge of web servers: IIS Apache Nginx Knowledge SQL/T-SQL, writing queries, stored procedures, views. Knowledge of SSIS and or SSRS. Knowledge of deployment processes (CI/CD). Knowledge of testing TDD Unit Tests NUnit Knowledge More ❯

SQL Database Administrator – 6-month Contract – Outside of IR35 – Blackpool My Customer seeking a skilled and proactive SQL Database Administrator (SQL DBA) to join their team. This role will be pivotal in both the day-to-day operational support of their production databases and in helping shape the long-term architecture of their evolving data platform. You'll work closely … with cross-functional teams to ensure the database systems are stable, performant, and aligned with their cloud-first modernization strategy. Any exposure with migrating from SQL Azure Virtual Machine to Azure serverless technologies would be highly beneficial. Key Responsibilities of the SQL DBA: Strong hands-on experience managing and tuning SQL Server in production environments. Keep a close eye on … our SQL Server databases to ensure they’re running smoothly and prevent potential issues before they escalate. Tackle common pain points like disk usage, memory pressure, failed backups, and inefficient indexing. Introduce quick-win automations and alerting to reduce manual firefighting. Investigate and resolve performance issues, failed jobs, and other day-to-day hiccups to maintain operational cleanliness. Key skills 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 ❯

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 ❯

degree or higher Significant experience building and leading teams delivering cross-functional projects. Experience of embedding operation excellence culture within their teams. Knowledge of database modelling, database concepts and SQL Experience with data visualization frameworks like D3.js, Plotly, Matplotlib, or similar Hybrid working applies to this role, with the expectation of 2-3 days per week onsite. We create a More ❯

skills required: Expertise in Python, Java, Scala, or other programming languages used to build data pipelines, implement data transformations, and automate data workflows. Strong knowledge of Power BI Strong SQL experience. Familiarity with technical data structures, data pipelines and data science techniques, understanding complex systems. Extensive knowledge of ETL tools essential for building data pipelines effectively. Strong experience with cloud More ❯

skills required: Expertise in Python, Java, Scala, or other programming languages used to build data pipelines, implement data transformations, and automate data workflows. Strong knowledge of Power BI Strong SQL experience. Familiarity with technical data structures, data pipelines and data science techniques, understanding complex systems. Extensive knowledge of ETL tools essential for building data pipelines effectively. Strong experience with cloud More ❯

of documentation and data security compliance Technical Skills (desirable): Microsoft Azure Data Services (e.g., Azure Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with More ❯

of documentation and data security compliance Technical Skills (desirable): Microsoft Azure Data Services (e.g., Azure Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with More ❯

of documentation and data security compliance Technical Skills (desirable): Microsoft Azure Data Services (e.g., Azure Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with More ❯

tools such as Postman or Swagger to observe behaviour of APIs Technical awareness and experience of a service architected platform Process analysis, data mapping and data analytical skills using SQL, Excel and Power BI Proficiency in designing and implementing data models Strong understanding of BI concepts and tools Must have experience with client-facing applications and digital transformation Experience with More ❯

solution is to adopt modern DevOps processes. What does it take to be a Data Engineer? Previous experience in data engineering ideally using Databricks, Azure Data Factory, Spark, Python, SQL, Cosmos DB, Microsoft Azure Analysis services, PowerBI Experience in delivering end to end BI solution from requirements, design to delivery Experience of working within an Agile/Scrum environment Experience More ❯

focus on data and analytics. Strong attention to detail that is focussed on data quality, accuracy, and completeness Intermediate to advanced skills in data and visualisation tools such as SQL, Python, R (including R Studio), Excel, Power BI, and Domo. Exposure to working in the Microsoft Fabric ecosystem is advantageous Excellent communication, stakeholder engagement, and problem-solving skills. Able to More ❯