126 to 150 of 7,392 SQL Jobs in the UK

data analysis, extraction, transformation, and loading, data intelligence, data security and proven experience in their technologies (e.g. Spark, cloud-based ETL services, Python, Kafka, SQL, Airflow) You have experience in assessing the relevant data quality issues based on data sources & uses cases, and can integrate the relevant data quality checks ...

experience building data models and ETL processes across multiple data sources.Advanced Power BI skills with expert knowledge of DAX and Power Query (M).Excellent SQL skills and experience working with large, complex datasets.Advanced Excel capabilities, including Power Pivot and analytical modelling.Experience creating dashboards, reports and analytics that support business decision ...

data models and ETL processes across multiple data sources.* Advanced Power BI skills with expert knowledge of DAX and Power Query (M).* Excellent SQL skills and experience working with large, complex datasets.* Advanced Excel capabilities, including Power Pivot and analytical modelling.* Experience creating dashboards, reports and analytics that support ...

essential. Experience assessing existing data management systems and recommending improvements. Experience with modern data architectures, including cloud-based and distributed systems. Strong proficiency in SQL and Python . Experience with data engineering and pipeline technologies such as Apache Airflow and Spark . Experience working with cloud platforms, particularly ...

/ELT pipelines across multiple data sources. Work with Fabric Lakehouses, Notebooks, Pipelines and Workspaces. Build solutions using Azure Data Factory, Databricks, Azure SQL and Synapse. Develop using SQL, Python and PowerShell. Optimise data pipelines, queries and data models. Support analytics and reporting using Power BI. Ensure strong data quality … Azure DevOps/GIT for source control and deployment. Experience Needed Strong hands-on Microsoft Fabric and Azure experience. Azure Data Factory, Databricks, Azure SQL and Synapse. Strong SQL plus Python and/or PowerShell. Strong ETL/ELT, data modelling and data warehousing experience. Azure DevOps/GIT experience. ...

design, performance and evolution of its core data platform. This is a hands‐on senior position for someone who has developed deep SQL Server expertise and progressed into making architectural decisions around data modelling, schema design and platform structure. Rather than simply implementing predefined specifications, you will have genuine influence … architecture, working closely with engineering, product and operational stakeholders across an international technology function. Key responsibilities will include: Designing, developing and enhancing enterprise‐scale SQL Server solutions Taking ownership of schema design, data modelling and data architecture Optimising complex queries, execution plans, indexes and overall database performance Diagnosing production database ...

significant transformation of its data estate. As part of a wider modernisation programme, the business is migrating critical real estate data capabilities from legacy SQL Server environments into a modern Databricks platform, creating a more scalable, governed and future-ready foundation for analytics, reporting and investment decision-making. This … influence platform architecture, data governance and reporting capabilities across a complex investment environment. What You'll Do Lead the assessment and modernisation of legacy SQL Server, ETL and reporting workloads into a Databricks-based architecture. Design scalable data models, Delta Lake structures and transformation pipelines supporting real estate investment data. ...

experience as a Senior Data Engineer in enterprise data environments. Technical stack: Microsoft Azure data platforms, including Azure Synapse or equivalent data platform, Azure SQL Server, Azure Data Factory, Azure DevOps This is a new opportunity to join a thriving team to be a key voice in modernizing core data … ingestion and staging layer, including: Synapse Link integrations. Synapse data pipelines for orchestration and movement. Support the Enterprise Data Warehouse (EDW) built on Azure SQL Server, including: Transformations using stored procedures, views, and DBT. Clear separation of bronze, silver, and gold layers aligned to a medallion architecture. Collaborate with ...

experience as a Senior Data Engineer in enterprise data environments. Technical stack: Microsoft Azure data platforms, including Azure Synapse or equivalent data platform, Azure SQL Server, Azure Data Factory, Azure DevOps, Fabric This is a new opportunity to join a thriving team to be a key voice in modernizing core … ingestion and staging layer, including: Synapse Link integrations. Synapse data pipelines for orchestration and movement. Support the Enterprise Data Warehouse (EDW) built on Azure SQL Server, including: Transformations using stored procedures, views, and DBT. Clear separation of bronze, silver, and gold layers aligned to a medallion architecture. Collaborate with ...

Lake Formation - Medallion Architecture based ETL processes using S3, Iceberg and Athena - Azure DevOps/AWS CodeCommit/AWS CodePipeline - AWS Step functions - Athena SQL ; Spark SQL ; Python - AWS CLI - Release management (CI/CD) - Knowledge and Experience - desirable - AWS Databrew - AWS RDS/Redshift - AWS Macie - AWS CloudWatch ...

performance, customer experience and commercial outcomes. This is a hands-on analytical position rather than a leadership role. The successful candidate will combine strong SQL and Power BI capability with commercial awareness, stakeholder engagement and, importantly, the ability to take ownership of their work. You will be expected to investigate … what the data shows, but why it matters and what the organisation should consider doing as a result. Key Responsibilities . Develop and maintain SQL queries and analytical datasets . Build, maintain and improve Power BI dashboards and reporting . Analyse product performance, customer behaviour and commercial outcomes . Analyse ...

project success. Core Responsibilities Design and maintain Power BI dashboards and visualisations for client projects. Extract, clean, and model data using Azure Data Factory, SQL Server, and related tools. Collaborate with colleagues to define KPIs, build reports, and enhance data quality. Support the delivery of analytical insights that drive business … clients to understand requirements and present findings clearly. Contribute to the development of team standards and best practices. Technical Stack Core: Power BI DAX SQL Server Advanced Excel Power Automate Power BI REST APIMicrosoft Fabric What You'll Bring Professional experience in data analytics or business intelligence. Solid proficiency ...

build data models, schemas to support business requirements Develop 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 … Experience: Experience in operating as part of data engineering teams and independently. 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 ...

streaming data pipelines using modern data engineering patterns Develop robust orchestration workflows for dependable data ingestion, transformation, quality checks, and downstream consumption Apply strong SQL, Python, and PySpark skills to transform complex data into reliable, reusable, and performant data products SQL, Data Modelling & Analytics Enablement Create well-modelled, trusted datasets …/ML solutions Our Ideal Candidate Strong data engineering experience with hands‐on delivery of scalable data pipelines, data products, and analytics foundations Advanced SQL skills with the ability to design performant queries, data models, and transformation logic Hands‐on knowledge of Python and PySpark for large‐scale data processing ...

provide the best business solution Develop Power Automate workflows to streamline business processes Develop and maintain Dataverse data models and business logic Write efficient SQL queries, stored procedures, and database solutions Participate in code reviews, testing and debugging Contribute to application architecture and technical design Support software deployments through Azure … modernise legacy applications Reporting & Data Create reusable datasets and semantic models Design reports that support operational and strategic decision making Build data integrations between SQL Server, Dataverse and business systems Assist with Microsoft Fabric initiatives where appropriate Promote good data governance and quality Stakeholder Engagement Work closely with internal stakeholders ...

architecture and code reviews. Support testing and validation activities within data related projects and initiatives. Qualifications & Experience Proven experience in the market as a SQL and PLSQL developer. Extensive experience with any SQL cloud databases like Snowflake/Redshift/BigQuery/Azure SQL database. Experience with any on-premise … SQL database like MS SQL Server, Teradata etc. Clear understanding of one ETL tool (For eg: Matillion, SNP Glue, Fivetran, Informatica). Azure DevOps experience is a plus. Clear understanding of data modeling, data curation, and orchestration Experience with Business Intelligence tools like PowerBI is a plus. Sound understanding ...

such as Pigment, Anaplan, Adaptive Planning, Oracle EPBCS, SAP Analytics Cloud, TM1 or similar. Strong financial modelling and analytical skills. Advanced Microsoft Excel skills, SQL/Python coding is desirable Excellent communication and stakeholder management skills. Ability to simplify complex financial information. Experience improving finance processes through systems or automation. … such as Pigment, Anaplan, Adaptive Planning, Oracle EPBCS, SAP Analytics Cloud, TM1 or similar. Strong financial modelling and analytical skills. Advanced Microsoft Excel skills, SQL/Python coding is desirable Excellent communication and stakeholder management skills. Ability to simplify complex financial information. Experience improving finance processes through systems or automation. ...

such as Pigment, Anaplan, Adaptive Planning, Oracle EPBCS, SAP Analytics Cloud, TM1 or similar. Strong financial modelling and analytical skills. Advanced Microsoft Excel skills, SQL/Python coding is desirable Excellent communication and stakeholder management skills. Ability to simplify complex financial information. Experience improving finance processes through systems or automation. … such as Pigment, Anaplan, Adaptive Planning, Oracle EPBCS, SAP Analytics Cloud, TM1 or similar. Strong financial modelling and analytical skills. Advanced Microsoft Excel skills, SQL/Python coding is desirable Excellent communication and stakeholder management skills. Ability to simplify complex financial information. Experience improving finance processes through systems or automation. ...

Architecting and delivering modern data platforms leveraging Azure technologies including Azure Data Lake Storage Gen2, Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure SQL and Event Hubs Designing and developing robust ETL/ELT frameworks, data pipelines, Lakehouse architectures and real-time data solutions, ensuring engineering excellence and reusability … controls, data quality frameworks, lineage and metadata management practices across the Azure Data Platform Leading the migration and modernisation of legacy data warehouse and SQL Server environments, driving adoption of cloud-native Azure services and best-practice engineering approaches Providing technical leadership, mentorship and guidance to Data Engineers while championing ...

Architecting and delivering modern data platforms leveraging Azure technologies including Azure Data Lake Storage Gen2, Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure SQL and Event Hubs Designing and developing robust ETL/ELT frameworks, data pipelines, Lakehouse architectures and real-time data solutions, ensuring engineering excellence and reusability … controls, data quality frameworks, lineage and metadata management practices across the Azure Data Platform Leading the migration and modernisation of legacy data warehouse and SQL Server environments, driving adoption of cloud-native Azure services and best-practice engineering approaches Providing technical leadership, mentorship and guidance to Data Engineers while championing ...

environment. Youll work across: Designing and building solutions using Microsoft Fabric Fabric Lakehouse, Warehouse and OneLake Data pipelines and ETL/ELT Power BI SQL and data modelling Azure Data Lake Internal and third-party API integrations Azure DevOps, Git and CI/CD Production deployment and support Existing Azure … your Fabric experience , rather than simply whether youve crossed an arbitrary two-year threshold. Youll also need a strong grounding in Data Engineering, including: SQL and data modelling ETL/ELT Azure data platforms API integration Git/source control CI/CD and deployment Building and supporting production data ...

works. Experience with cloud platforms (e.g., AWS, Azure, GCP) and data lake architectures. Strong experience and programming skills in languages such as Python and SQL and the ability to write complex SQL queries. Use of GitHub and CI/CD practices. Support development of the Azure Databricks Lakehouse platform, shaping ...

capturing requirements and Governance & Control documentation, knowledge of GDS is an added advantage Applied experience of metadata analysis, fields/entity, and data lineage, sql/no sql databases Experience with one of Azure/AWS/GCP ETL tools like Informatica, Alteryx and Business Glossary tools like Collibra, Azure ...

part of your duties, you will be responsible for: Design, build, and deploy scalable data pipelines using Azure Databricks , Azure Data Factory , and Azure SQL Database . Optimise Databricks environments for performance, cost, and security. Develop and maintain data integration , ETL/ELT processes, and data quality frameworks. Translate business … modelling skills (Dimensional, ODS, Data Vault) and experience with data warehousing concepts. Experience working with large, complex datasets and distributed computing environments. Proficiency in SQL , version control (e.g. Git), and CI/CD pipelines . Familiarity with Agile delivery and DevOps practices (Azure DevOps, JIRA, etc.). Preferred Skills & Experience ...

Principal Engineer or comparable senior technical leader. Advanced, hands-on Databricks experience in production environments, including lakehouse architecture, Delta Lake and relevant governance, workflow, SQL and optimisation capabilities. Proven ownership of modern data platforms or data products from architecture through production delivery and operation. Strong experience in data privacy … with batch and real-time integration, including APIs, CDC, streaming or event-driven pipelines. A strong data-engineering or software-development foundation using Python, SQL, Scala, Java and/or Spark. Deep experience with Azure data services. AWS experience is advantageous as the platform expands. Experience with governance, cataloguing, lineage ...