1 to 25 of 3,203 SQL Jobs in the UK excluding London

engineers. Operating at true enterprise scale across multiple environments and subject area communities, you will bring deep expertise in Python and SQL data engineering, ETL, cloud data platforms and orchestration at scale. Working with TA&I sponsors and Technology product owners, you will define, design and implement the data engineering … team's deliverables. Design, develop and implement highly scalable and efficient data pipelines using advanced Python (Pandas, web scraping and machine learning libraries), SQL (including advanced optimisation techniques) and Apache Airflow. Lead the extraction, transformation and loading (ETL) of large and complex datasets, including time series data, from various sources ...

practices, processes and tooling What we’re looking for At least five years’ experience in Data Engineering and Business Intelligence delivery Strong experience with SQL Server, SSIS, SSAS and SSRS Strong SQL skills, including experience with T-SQL and DAX Experience designing and developing ETL and ELT data pipelines … Experience with Power BI , including dashboards, reporting and semantic models Knowledge of Microsoft Azure technologies such as Azure Data Factory, Azure Data Lake, Azure SQL Database, Azure Synapse Analytics and Azure Functions Experience consuming APIs and working with JSON or XML Knowledge of Python, C# or PowerShell Experience with ...

ensure user-centred, automated infrastructure is developed based on business requirements and best practices. Support and enhance data solutions built on Microsoft Fabric, SQL, Azure Data Factory, and SSIS. Monitor, troubleshoot, and proactively resolve data pipeline issues across multiple client environments. Design and implement robust CI/CD practices … testing, and deployment. About the Candidate: Essential Experience Proven experience as a Data Engineer supporting production data pipelines and platforms. Strong knowledge of T-SQL and SQL Server with experience in performance tuning and query optimisation. Experience with scripting languages such as Python for automation. Hands-on experience with Microsoft ...

clear Dev/Test/Prod separation, deployment pipelines, dataset certification/endorsement, refresh monitoring and access management. Coaching analysts and BI developers on SQL, DAX, data modelling, visual design and engineering hygiene. Working closely with Data Engineering on changes to the semantic/curated layer and data marts. Delivering … providing realistic estimates. Key Requirements 5–10 years' experience in a data analytics or BI role, preferably in an insurance or finance environment. Advanced SQL, including query optimisation and working with the Azure data stack (Data Factory, Synapse/Fabric, SQL-based semantic layers). Advanced Power BI engineering skills ...

Mathematics or Computer Science). A minimum 8 years of professional experience in Data Analysis. Proficiency in at least one Programming language such as SQL, R or Python. Preferred Qualifications Additional certifications in Data Analytics, Data Science or Business Intelligence (e.g., Certified Analytics Professional, Microsoft Certified: Data Analyst Associate). … ensure data integrity. Extensive experience with Data Migration processes between systems and Data Source Identification. Proven experience in Data Consolidation, Database Management (e.g., SQL, Oracle, IBM DB2, Teradata) and Database Design. Expertise in creating Database Schema and managing Data Dictionaries. Significant experience with Machine Learning algorithms and frameworks for building ...

Data Science, Computer Science, Engineering, Information Systems, Mathematics, Statistics, Economics, Business Analytics or a related field. Proficiency in at least one programming language (e.g., SQL, Python, R). Core experience and skills 2–8 years in data, analytics, BI, engineering, data science, AI, automation or governance. Proficiency in SQL ...

ensure user-centred, automated infrastructure is developed based on business requirements and best practices. Support and enhance data solutions built on Microsoft Fabric, SQL, Azure Data Factory, and SSIS.Monitor, troubleshoot, and proactively resolve data pipeline issues across multiple client environments.Design and implement robust CI/CD practices for data workflows … testing, and deployment.Skills and experience that you needEssential Experience Proven experience as a Data Engineer supporting production data pipelines and platforms.Strong knowledge of T-SQL and SQL Server with experience in performance tuning and query optimisation.Experience with scripting languages such as Python for automation.Hands-on experience with Microsoft Fabric ...

ensure user-centred, automated infrastructure is developed based on business requirements and best practices. Support and enhance data solutions built on Microsoft Fabric, SQL, Azure Data Factory, and SSIS.Monitor, troubleshoot, and proactively resolve data pipeline issues across multiple client environments.Design and implement robust CI/CD practices for data workflows … testing, and deployment.Skills and experience that you needEssential Experience Proven experience as a Data Engineer supporting production data pipelines and platforms.Strong knowledge of T-SQL and SQL Server with experience in performance tuning and query optimisation.Experience with scripting languages such as Python for automation.Hands-on experience with Microsoft Fabric ...

ensure user-centred, automated infrastructure is developed based on business requirements and best practices. Support and enhance data solutions built on Microsoft Fabric, SQL, Azure Data Factory, and SSIS.Monitor, troubleshoot, and proactively resolve data pipeline issues across multiple client environments.Design and implement robust CI/CD practices for data workflows … testing, and deployment.Skills and experience that you needEssential Experience Proven experience as a Data Engineer supporting production data pipelines and platforms.Strong knowledge of T-SQL and SQL Server with experience in performance tuning and query optimisation.Experience with scripting languages such as Python for automation.Hands-on experience with Microsoft Fabric ...

looking for Essential skills and experience: 4–6 years’ experience in Data Engineering, Integration Engineering, Automation Engineering or a similar role. Strong SQL Server and T-SQL skills. Experience developing ETL/ELT processes and data pipelines. Experience with APIs, integrations and data exchange technologies. Experience using Microsoft Azure services. ...

looking for Essential skills and experience: 4–6 years’ experience in Data Engineering, Integration Engineering, Automation Engineering or a similar role. Strong SQL Server and T-SQL skills. Experience developing ETL/ELT processes and data pipelines. Experience with APIs, integrations and data exchange technologies. Experience using Microsoft Azure services. ...

looking for Essential skills and experience: 4–6 years’ experience in Data Engineering, Integration Engineering, Automation Engineering or a similar role. Strong SQL Server and T-SQL skills. Experience developing ETL/ELT processes and data pipelines. Experience with APIs, integrations and data exchange technologies. Experience using Microsoft Azure services. ...

looking for Essential skills and experience: 4–6 years’ experience in Data Engineering, Integration Engineering, Automation Engineering or a similar role. Strong SQL Server and T-SQL skills. Experience developing ETL/ELT processes and data pipelines. Experience with APIs, integrations and data exchange technologies. Experience using Microsoft Azure services. ...

looking for Essential skills and experience: 4–6 years’ experience in Data Engineering, Integration Engineering, Automation Engineering or a similar role. Strong SQL Server and T-SQL skills. Experience developing ETL/ELT processes and data pipelines. Experience with APIs, integrations and data exchange technologies. Experience using Microsoft Azure services. ...

when requested.What we are looking forEssential skills and experience:4–6 years’ experience in Data Engineering, Integration Engineering, Automation Engineering or a similar role.Strong SQL Server and T-SQL skills.Experience developing ETL/ELT processes and data pipelines.Experience with APIs, integrations and data exchange technologies.Experience using Microsoft Azure services.Experience with ...

when requested.What we are looking forEssential skills and experience:4–6 years’ experience in Data Engineering, Integration Engineering, Automation Engineering or a similar role.Strong SQL Server and T-SQL skills.Experience developing ETL/ELT processes and data pipelines.Experience with APIs, integrations and data exchange technologies.Experience using Microsoft Azure services.Experience with ...

when requested.What we are looking forEssential skills and experience:4–6 years’ experience in Data Engineering, Integration Engineering, Automation Engineering or a similar role.Strong SQL Server and T-SQL skills.Experience developing ETL/ELT processes and data pipelines.Experience with APIs, integrations and data exchange technologies.Experience using Microsoft Azure services.Experience with ...

when requested.What we are looking forEssential skills and experience:4–6 years’ experience in Data Engineering, Integration Engineering, Automation Engineering or a similar role.Strong SQL Server and T-SQL skills.Experience developing ETL/ELT processes and data pipelines.Experience with APIs, integrations and data exchange technologies.Experience using Microsoft Azure services.Experience with ...

delivery outcomes. Technical Skills Strong experience designing and delivering modern data platforms using Microsoft Fabric, Azure Databricks, Azure Data Factory, Azure Synapse Analytics, Azure SQL and Data Lake technologies . Proven experience implementing Lakehouse, Data Warehouse and Medallion Architecture patterns, including data modelling, governance and performance optimization . Expertise … building scalable data ingestion, transformation and orchestration pipelines, integrating data from cloud, on‐premises and third‐party business systems. Strong hands‐on capability with SQL, Python, Spark and PySpark for data engineering, analytics and automation workloads. Experience with Azure Databricks and/or Microsoft Fabric engineering workloads, including notebooks, Delta ...

adoption of AI-enabled analytics such as Copilot and natural-language insight. If you're an experienced BI Developer with strong Power BI, SQL and data modelling skills and want to have a genuine impact on how an organisation uses data, this could be an excellent opportunity. Key Responsibilities Design … Power BI experience, including semantic modelling, DAX and Power Query (M). Experience with paginated reporting using SSRS and/or Power BI. Strong SQL experience, ideally SQL Server, Azure SQL Database and T-SQL. Experience with ETL/ELT and data integration tools, ideally Informatica. Strong understanding of dimensional ...

Senior Data Engineer - SQL/Azure Data Factory/Fabric - is required by fast growing, international organisation. Job purpose Due to their continued success in their online platform, they are expanding their portfolio to increase their current offerings, adding more products to their corporate intelligence and due diligence solutions. They … Computer Science or a related field, and other professional management training Extensive (5+ years) experience in at least 3 of the following: Azure SQL Server 2022, Azure Data Factory (ADF), Microsoft Fabric, ETL/ELT workflows and Synapse. Architectural experience in Azure Data Warehousing, with bonus points for NoSQL (Cosmos ...

Located anywhere in the UK! Salary: Depending on experience Job Type: Permanent, Full Time We're proud to be a trusted leader in SQL development services, and in database, server, cloud, and application services. We enjoy helping our clients, many of which are well-known household brands, stay connected … seeking an experienced Senior Power BI Developer to design, develop and support modern business intelligence and analytics solutions using Power BI and other SQL Server technologies. About the role: The successful candidate will combine strong technical expertise with excellent stakeholder engagement skills, helping clients and internal teams transform raw data ...

Data Factory, Warehouse and Spark Knowledge of Azure Data Platform services, including ADF, ADLS Gen2, Azure Synapse Analytics A strong background in Python and SQL development Proven experience building batch and streaming data pipelines Experience implementing Medallion Architecture and Lakehouse patterns Strong understanding of data modelling techniques (dimensional, star schema … control Knowledge and experience of the following would be advantageous: Experience with GCP and AWS On-prem data platform and integration solutions, including Microsoft SQL Server, SQL Server Integration Services (SSIS) Experience in working with Power BI, including Power Query, DAX, and Power BI Service Experience with enterprise data governance ...

clients on adoption and improvements Strong hands-on experience with Microsoft Azure data services (e.g. Azure Data Factory, Azure Synapse, Azure Data Lake, Azure SQL) Proven experience designing and delivering solutions using Microsoft Fabric, including Lakehouse, Warehousing, Data Engineering, and Real-Time Analytics Advanced skills in Power BI, including semantic … enterprise-scale deployments Solid background in data architecture, including data modelling, integration patterns, and modern analytics architectures Experience building and optimising data pipelines using SQL, Python, and/or Spark Knowledge of AI and advanced analytics on Azure, including Azure Machine Learning, Cognitive Services, or Fabric AI capabilities Experience integrating ...

Develop data models and analytics solutions, working extensively with Power BI Integrate internal and third-party systems through APIs Work with Azure Data Lake, SQL Server and SQL Support the existing Synapse environment during the transition to Fabric Use Azure DevOps, Git and CI/CD to develop and deploy … solutions after implementation - supporting them in production, dealing with operational issues and improving them as requirements, volumes and the platform have evolved. Strong SQL and Data Engineering fundamentals ETL/ELT and data modelling Azure data platforms API integration Source control, CI/CD and deployment Experience building, operating ...