1 to 25 of 8,220 SQL Jobs in the UK

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 (web APIs ...

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 ...

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 ...

data solutions Deep understanding of data warehouse design principles and methodologies Advanced knowledge of optimisation techniques for large‐scale data processing Strong proficiency in SQL and Python for handling complex data problems Hands‐on experience with Apache Spark (PySpark or Spark SQL) Experience with the Azure data stack Knowledge ...

cloud platforms (Azure preferred), leveraging Databricks as the core data engineering platform Build and optimize sophisticated ETL/ELT data pipelines using PySpark, SQL, and Python, orchestrating complex data workflows through Databricks Workflows, Delta Live Tables, Azure Data Factory Implement and maintain Delta Lake storage architectures and Unity Catalog governance … Unity Catalog governance Extensive experience in designing advanced data models, including medallion architectures, data lakes, and enterprise data warehouses Expert-level proficiency in SQL for complex data transformation, optimization, and analytical workload development Advanced proficiency in Python for data engineering, pipeline automation, and integration development Deep expertise in PySpark ...

cloud platforms (Azure preferred), leveraging Databricks as the core data engineering platform• Build and optimize sophisticated ETL/ELT data pipelines using PySpark, SQL, and Python, orchestrating complex data workflows through Databricks Workflows, Delta Live Tables, Azure Data Factory• Implement and maintain Delta Lake storage architectures and Unity Catalog governance … storage format, and Unity Catalog governanceExtensive experience in designing advanced data models, including medallion architectures, data lakes, and enterprise data warehousesExpert-level proficiency in SQL for complex data transformation, optimization, and analytical workload developmentAdvanced proficiency in Python for data engineering, pipeline automation, and integration developmentDeep expertise in PySpark for data ...

pipelines, and products that enable reporting, analytics, digital transformation, and data-driven decision-making. Working with technologies such as Microsoft Fabric, Azure Data Services, SQL, and Power BI, you will ensure data is managed effectively throughout its lifecycle, and contribute to effective Information Management across all teams and business functions. … Strong experience designing and maintaining ETL/ELT pipelines, data integration processes, and structured data platforms. Experience working with Microsoft Fabric, Azure Data Services, SQL, Power BI, or equivalent modern data platforms. Strong understanding of data modelling, database design, metadata management, and data architecture principles. Experience implementing data quality, governance ...

Design and build data models, schemas to support business requirements Develop and maintain data ingestion and processing systems using various tools andtechnologies, such as SQL, NoSQL, ETL, Luigi, Airflow, Argo, etc. Implement data storage solutions using different types of databases, such asrelational, non-relational, or cloud-based. Working collaboratively with … data engineering teams and independently. Line/Team management experience, leadership experience Experience of working with cloud infrastructure (Azure or AWS, GCP is beneficial) SQL and relational databases (e.g. MS SQL/Azure SQL, PostgreSQL) You have framework experience within either Flask, Tornado or Django, Docker Experience working with ...

translate business problems into data, analytical and technical tasks, with support from senior colleagues. Design, build and maintain data pipelines, models and products using SQL, Python and modern data engineering tools. Work with data warehouses, lakehouse platforms and event‐driven patterns, including building semantic models for analytics and visualisation. Contribute … over. What We’re Looking For Core Data & Technical Skills Experience translating business questions into data or analytical requirements, with guidance where needed. Strong SQL and Python skills for data modelling, transformation, automation and analysis. Experience working with data models in data warehouses, lakehouse environments or analytics tools such ...

within Databricks environments.Proven experience building, publishing, and supporting dashboards and reports using Power BIStrong experience and programming skills in languages such as Python and SQL and the ability to write complex SQL queries.Project experience using one or more of the following technologies: Tableau, Power BI, Cloud, Azure, AWS, GCP, Snowflake ...

roadmap: track delivery of quick-wins, report progress on mid-term initiatives, and flag risks or dependencies TECHNICAL SKILLS & EXPERTISE Strong data engineering skills: SQL (advanced), Python or PowerShell for data extraction, transformation, and automation; experience with ETL/ELT pipelines Dashboard development: Power BI (preferred), Tableau, Grafana, or equivalent ...

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 ...

clear Dev/Test/Prod separation, deployment pipelines, dataset certification/endorsement, refresh monitoring and access management. Coach analysts and BI developers on SQL, DAX, data modelling, visual design and engineering hygiene; take part in code/report reviews and knowledge‐sharing sessions. Work closely with Data Engineering … Knowledge and Experience Essential Well developed and demonstrable 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: data modelling ...

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 ...

using Power BI, including semantic models, DAX measures and governed reporting content Strong experience developing enterprise-scale BI, data warehousing, and analytics solutions Strong SQL skills, including query writing, performance tuning and data modelling for reporting purposes Proven ability to work with a diverse group of stakeholders across multiple business … data governance, security, and compliance frameworks Retail industry experience is preferred but not mandatory Competencies, Behaviours and Skills Strong technical expertise in Power BI, SQL, and Python, with the ability to apply these tools to solve both reporting and data platform challenges Solid understanding of customer data, including Customer Experience ...

Tableau, ensuring outputs remain aligned to evolving business requirements and institutional priorities.Undertake quantitative analysis of institutional data and external data releases using Snowflake, SQL and related technologies, translating complex datasets into meaningful insights for decision-makers. Work with colleagues to anticipate and produce rapid response analyses when required for institutional … Query and implementing row-level security in Power BI.Experience in extracting and transforming datasets for reporting and/or analysis using tools such as SQL, R, Alteryx, Snowflake or dbt etc.Understanding of user experience in Power BI reporting.Experience of data architecture and modelling (e.g. facts and dimensions, materialised views ...

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 ...

projectsDesign and build data models, schemas to support business requirementsDevelop and maintain data ingestion and processing systems using various tools and technologies, such as SQL, NoSQL, ETL, Luigi, Airflow, Argo, etc.Implement data storage solutions using different types of databases, such as relational, non-relational, or cloud-based.Working collaboratively with … part of data engineering teams and independently.Line/Team management experience, leadership experienceExperience of working with cloud infrastructure (Azure or AWS, GCP is beneficial)SQL and relational databases (e.g. MS SQL/Azure SQL, PostgreSQL)You have framework experience within either Flask, Tornado or Django, DockerExperience working with ETL pipelines ...

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 ...

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 ...