1 to 25 of 3,296 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 ...

legacy, cloud and on-premises data sources. Engineer reliable data pipelines and models: Design batch, incremental and near-real-time ETL/ELT using SQL, Python and PySpark; apply medallion, dimensional/Kimball, normalised and data-product patterns as appropriate; and use production-grade techniques such as CDC, SCD, schema … governance specialists on Fabric-native governance and Microsoft Purview requirements where these are in project scope. Optimise, monitor and troubleshoot production workloads: Tune SQL, Spark, Delta/Parquet storage, partitioning and compute for performance, cost and reliability. Establish monitoring and alerting for pipelines, notebooks, semantic-model refreshes, data freshness ...

informed decision-making across the organisation. This is an exciting opportunity to work with cutting-edge technologies including Microsoft Fabric, Spark, Azure DevOps, SQL, Python/PySpark and AI-enabled development tools , helping to deliver trusted data products that improve operational performance, support safeguarding outcomes and drive strategic decision-making. … passionate data professional with strong technical expertise and a desire to continually improve data capabilities and ways of working. You'll Bring Strong SQL skills and hands‐on experience with Python/PySpark. Experience working with Microsoft Fabric and/or Azure Databricks. Expertise in Spark-based data engineering ...

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. ...

level working within the financial services business or financial regulatory body Proficient in modern data warehousing and database development (on-premises and cloud) using SQL, NoSQL, TSQL and Python to manipulate unstructured and structured data and draw insights from large and diverse data sets. Microsoft on-premises and cloud data ...

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. ...

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 ...

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 ...

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 ...

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 ...