51 to 75 of 2,547 Remote SQL Jobs in the UK

following skills: 2+ years of experience in data warehousing, ETL development, and business intelligence reporting. Strong experience with Power BI, including DAX, Power Query, and dashboard development. Proficiency in SQL and data modelling techniques. Strong analytical and problem-solving skills with an ability to work in agile development environment independently. Experience with data warehouse platforms (e.g., Snowflake, Azure Synapse, Redshift 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 ❯

information and support with co-workers Solid understanding of engineering best practices Good knowledge of Object-Oriented Programming techniques Good knowledge of Scripting languages like Groovy Good knowledge of SQL and database systems such as Postgresql, MySQL, etc. Good knowledge of web standards (HTML, JavaScript, etc) Quick learner and adapter of new frameworks and technologies Attention to details and some More ❯

collaboration skills are vital Proven experience in data engineering, with hands-on expertise in Azure Data Services, PySpark, Apache Spark, and Apache Airflow. Strong programming skills in Python and SQL, with the ability to write efficient and maintainable code. Deep understanding of Spark internals, including RDDs, DataFrames, DAG execution, partitioning, and performance optimization techniques. Experience with designing and managing Airflow More ❯

to engage with stakeholders and the confidence to question stakeholders and present new ideas. Essential Skills - Data Analyst/Engineer: Azure Data Lake Azure Fabric Power BI Python ETL SQL Clear communication skills Desirable Skills - Data Analyst/Engineer: Ability to manipulate data from API DAX Understanding of the Data Lifecyle (Ingestion, Transformation and Consumption) Any related Qualifications If you … Engineer with a copy of your latest CV and we will be in touch.Azure/Azure Data Lake/MS Fabric/Azure Fabric/Fabric/Python/SQL/SQL Server/Data Transformation//ETL/Problem Solving/Data Analyst/Data Developer/Power BI/ More ❯

data warehouses and data lakes. Ensure data governance, security, and compliance with GDPR and other regulations. Collaborate with cross-functional teams to gather requirements and deliver solutions. Manage Azure SQL databases, including performance tuning and monitoring. Monitor and maintain data infrastructure, resolving issues proactively. Document technical designs and share knowledge through training and code reviews. Contribute to big data analytics … Requirements Strong experience with Azure Databricks. Proficient with Azure Data Factory, Synapse Analytics, Data Lake Storage, Stream Analytics, and Event Hubs. Skilled using Python, Scala, C#, .NET, and advanced SQL (T-SQL). Experience with CI/CD pipelines using Azure DevOps and infrastructure as code (Terraform, BICEP, ARM). Solid understanding of data engineering, distributed computing, and cloud-native More ❯

data warehouses and data lakes. Ensure data governance, security, and compliance with GDPR and other regulations. Collaborate with cross-functional teams to gather requirements and deliver solutions. Manage Azure SQL databases, including performance tuning and monitoring. Monitor and maintain data infrastructure, resolving issues proactively. Document technical designs and share knowledge through training and code reviews. Contribute to big data analytics … Requirements Strong experience with Azure Databricks. Proficient with Azure Data Factory, Synapse Analytics, Data Lake Storage, Stream Analytics, and Event Hubs. Skilled using Python, Scala, C#, .NET, and advanced SQL (T-SQL). Experience with CI/CD pipelines using Azure DevOps and infrastructure as code (Terraform, BICEP, ARM). Solid understanding of data engineering, distributed computing, and cloud-native More ❯

storage and retrieval. Ensure compliance with data protection laws (e.g., GDPR), implement encryption and access controls. Work with cross-functional teams and mentor junior engineers. Manage and tune Azure SQL Database instances. Proactively monitor pipelines and infrastructure for performance and reliability. Maintain technical documentation and lead knowledge-sharing initiatives. Deploy advanced analytics and machine learning solutions using Azure. Stay current … technologies and identify areas for enhancement. Databricks (Unity Catalog, DLT), Data Factory, Synapse, Data Lake, Stream Analytics, Event Hubs. Strong knowledge of Python, Scala, C#, .NET. Experience with advanced SQL, T-SQL, relational databases. Azure DevOps, Terraform, BICEP, ARM templates. Distributed computing, cloud-native design patterns. Data modelling, metadata management, data quality, data as a product. Strong communication, empathy, determination More ❯

storage and retrieval. Ensure compliance with data protection laws (e.g., GDPR), implement encryption and access controls. Work with cross-functional teams and mentor junior engineers. Manage and tune Azure SQL Database instances. Proactively monitor pipelines and infrastructure for performance and reliability. Maintain technical documentation and lead knowledge-sharing initiatives. Deploy advanced analytics and machine learning solutions using Azure. Stay current … technologies and identify areas for enhancement. Databricks (Unity Catalog, DLT), Data Factory, Synapse, Data Lake, Stream Analytics, Event Hubs. Strong knowledge of Python, Scala, C#, .NET. Experience with advanced SQL, T-SQL, relational databases. Azure DevOps, Terraform, BICEP, ARM templates. Distributed computing, cloud-native design patterns. Data modelling, metadata management, data quality, data as a product. Strong communication, empathy, determination More ❯

levels. Key Responsibilities Design and develop reports, dashboards, and KPI scorecards using Power BI Desktop Develop across the Power Platform suite Connect to and transform data from various sources (SQL, SharePoint, Excel, etc.) Integrate Power BI reports with other applications using embedded analytics Apply advanced DAX calculations and implement row-level security Work with users to co-develop dashboards and … Development Finance. You're not just technically strong you can translate data into stories and bring non-technical stakeholders with you. Essential Skills Strong Power BI experience including DAX, SQL, and data modelling Experience implementing row-level security Confident working with data sources including SQL, SharePoint, Excel, DevOps Solid understanding of data warehousing and data transformation Excellent communication and stakeholder More ❯

levels. Key Responsibilities Design and develop reports, dashboards, and KPI scorecards using Power BI Desktop Develop across the Power Platform suite Connect to and transform data from various sources (SQL, SharePoint, Excel, etc.) Integrate Power BI reports with other applications using embedded analytics Apply advanced DAX calculations and implement row-level security Work with users to co-develop dashboards and … Development Finance. You're not just technically strong you can translate data into stories and bring non-technical stakeholders with you. Essential Skills Strong Power BI experience including DAX, SQL, and data modelling Experience implementing row-level security Confident working with data sources including SQL, SharePoint, Excel, DevOps Solid understanding of data warehousing and data transformation Excellent communication and stakeholder More ❯

and no more than 28 days abroad in a single trip). Desirable Experience: Infrastructure-as-Code tools (e.g., Terraform). Working with Docker and containerized environments. Knowledge of SQL databases (SQL Server, PostgreSQL). Familiarity with Entity Framework Core . Understanding of web accessibility and development best practices. Bonus Skills: Experience with NoSQL databases (e.g., MongoDB, Cosmos DB). More ❯

Responsibilities: Design and implement secure, scalable Azure Data Architectures aligned to customer needs. Engage with customers to capture requirements and define data solutions. Support engineering teams across pipelines, notebooks, SQL and Python. Work closely with peers to deliver solutions. (Engineers, Analysts, Scientist & Cloud) Contribute to internal accelerators and data communities. Ensure governance, security, and performance monitoring. Occasional travel to client … Microsoft Fabric, as well as in one or more of the following platforms: Azure Synapse Analytics and Azure Databricks, and supporting data technologies like Power BI, Microsoft Purview, Azure SQL Database, Azure Data Lake, etc. Excellent stakeholder engagement and communication skills. Able to consult, advise, architect and estimate project work. Strong analysis, requirements gathering and data modelling. Solid data platform More ❯

and ensuring project alignment with organisational goals and standards. What do I need to apply for the role Expert use of Fabric, Azure Data Factory, Azure Synapse. Expertise in SQL and Python. Experience working with relational SQL databases either on premises or in the cloud. Power platform experience is desirable. Experience delivering multiple solutions using key techniques such as Governance More ❯

and ensuring project alignment with organisational goals and standards. What do I need to apply for the role Expert use of Fabric, Azure Data Factory, Azure Synapse. Expertise in SQL and Python. Experience working with relational SQL databases either on premises or in the cloud. Power platform experience is desirable. Experience delivering multiple solutions using key techniques such as Governance More ❯

new features for our platform. Improve existing functionality. Consistently advocating high quality of code. Essential: Technical Skills: C# .NET ASP .NET MVC LINQ and Entity Framework/LINQ to SQL Web-based languages such as HTML, CSS and JavaScript SQL Server Web APIs, e.g. REST Source control management, e.g. Git/Azure/Azure DevOps Unit tests, e.g. XUnit OOP More ❯

and training Own data products end-to-end—from design to continuous improvement Promote innovation and best practices across the organisation What We’re Looking For: Strong skills in SQL and Power BI. Python is beneficial Solid experience with data modelling and ETL pipelines Knowledge of cloud environments – Azure Experience with Snowflake and Databricks Familiarity with data governance in decentralised More ❯

Microsoft. As well as good understanding of data architecture. To the level that you are able to engage with technical staff and data architectures or experts. Good knowledge of SQL, ETL technologies and data modelling. Knowledge of programming languages useful for data analytics such as Python Good knowledge of the Azure cloud data platform and the potential to use its More ❯

to ensure the best fit for purpose Experience Needed Essential: Strong background in C# .NET and/or Java Experience with Git, CI/CD tools, and database technologies (SQL/NoSQL) Excellent problem-solving and communication skills Secure coding and API architecture knowledge Desirable: Web development experience (React, TypeScript, JavaScript) Familiarity with AWS, containerisation, microservices, and serverless architecture Exposure More ❯

stakeholder management skills. Expertise in enterprise-grade data warehouses (Snowflake, BigQuery, Redshift). Hands-on experience with Apache Airflow (or similar orchestration tools). Strong proficiency in Python and SQL for pipeline development. Deep understanding of data architecture, dimensional modelling, and metadata management. Experience with cloud platforms (AWS, GCP, or Azure). Familiarity with version control, CI/CD , and More ❯

stakeholder management skills. Expertise in enterprise-grade data warehouses (Snowflake, BigQuery, Redshift). Hands-on experience with Apache Airflow (or similar orchestration tools). Strong proficiency in Python and SQL for pipeline development. Deep understanding of data architecture, dimensional modelling, and metadata management. Experience with cloud platforms (AWS, GCP, or Azure). Familiarity with version control, CI/CD , and More ❯

stakeholder management skills. Expertise in enterprise-grade data warehouses (Snowflake, BigQuery, Redshift). Hands-on experience with Apache Airflow (or similar orchestration tools). Strong proficiency in Python and SQL for pipeline development. Deep understanding of data architecture, dimensional modelling, and metadata management. Experience with cloud platforms (AWS, GCP, or Azure). Familiarity with version control, CI/CD , and More ❯

engineering technologies, tools and practices. Qualifications Bachelor's degree in computer science, engineering or related field. Minimum of 3 years of experience in data engineering roles. Strong proficiency in SQL, ETL processes and database management systems (e.g., MySQL, PostgreSQL, MongoDB). Hands-on experience with AWS services for data processing, storage and analysis (e.g., S3, Redshift, EMR, Glue). Familiarity More ❯

analytical and communication skills; ability to influence stakeholders and translate complex requirements clearly You have experience with data visualization/reporting tools (e.g. Tableau, Power BI, Looker) You have SQL or data querying experience to support analysis and validation You are fluent in English Our Benefits An opportunity to work in a fast growing fintech revolutionizing investment reporting Hybrid style More ❯

experience deploying and maintaining LLM services and solutions. Expertise in Azure DevOps and GitHub Actions. Familiarity with Databricks CLI and Databricks Job Bundle. Strong programming skills in Python and SQL; familiarity with Scala is a plus. Solid understanding of AI/ML algorithms, model training, evaluation (including hyperparameter tuning), deployment, monitoring, and governance. Experience in handling large datasets and performing More ❯