101 to 125 of 4,541 SQL Jobs in London

access to enterprise data. This includes preparing the semantic and metadata foundation that makes data legible to models, delivering conversational analytics, text-to-SQL, and retrieval-augmented experiences on governed sources, and establishing guardrails, evaluation, and accuracy monitoring so that answers can be trusted. Build exception-based analytics that detect … 4+ years managing managers. Demonstrated experience leading an organization of 25 or more people in a large, matrixed enterprise. Strong hands-on foundation in SQL, dimensional modeling, and ELT/ETL design, with production experience on a modern cloud data warehouse or lakehouse (for example Snowflake, Databricks, BigQuery, Redshift ...

governance practices, including lineage, cataloguing, validation, and GDPR/PII compliancePartner with analytics, MarTech, and marketing teams to align data solutions with business needsRequirementsStrong SQL skills and experience with ETL/ELT and pipeline orchestration tools (e.g., Airflow, dbt, Data Factory)Experience with cloud data platforms (e.g., Azure ...

lineage, cataloguing, validation, and GDPR/PII compliance Partner with analytics, MarTech, and marketing teams to align data solutions with business needs Requirements Strong SQL skills and experience with ETL/ELT and pipeline orchestration tools (e.g., Airflow, dbt, Data Factory) Experience with cloud data platforms (e.g., Azure ...

role. Demonstrated knowledge of P&C insurance pricing concepts, including rate adequacy, loss development, rating factors, and exposure bases. Proficiency in data analysis tools — SQL, Python, R, or advanced Excel/VBA — for querying and analysing large insurance datasets. Experience working with actuarial or pricing datasets and familiarity with insurance ...

approach to problem-solving. Strong stakeholder engagement, management and communication skills. Ability to lead analytical projects from idea through to delivery and adoption. Advanced SQL skills with experience querying large datasets accurately and efficiently. Experience with cloud data platforms such as BigQuery, Google Cloud Platform or AWS. Experience building dashboards ...

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 AWS and Azure. Knowledge ...

with Snowflake features (warehouses, Snowpark, data sharing, performance tuning). Proficiency in ETL/ELT tools such as DBT, Matillion, Talend, or equivalent. Strong SQL and Python (or equivalent language) skills for data manipulation and automation. Hands-on experience with cloud platforms (AWS, Azure, GCP). Knowledge of data modelling ...

modern data architectures.- Experience working in agile environments (e.g. sprint planning, stand-ups, retrospectives).- Proficiency with data and reporting tools (e.g. SQL, Python, Power BI, Tableau).- Experience with agile and collaboration tooling (e.g. JIRA, Confluence, SharePoint).- Relevant certifications (e.g. BCS/ISEB Business Analysis, Scrum, SAFe ...

/PySpark/Scala, Delta Lake, Unity Catalog, MLflow). Proficiency in ETL/ELT tools such as DBT, Matillion, Talend, or equivalent. Strong SQL and Python (or equivalent language) skills for data manipulation and automation. Hands-on experience with cloud platforms (AWS, Azure, GCP). Familiarity with Databricks Workflows ...

cloud data platforms: Azure, AWS, and Google Cloud Platform (GCP).Strong experience with data warehousing, data lakes, and lakehouse architectures. Hands-on experience with SQL and at least one programming language such as Python, Scala, or Java. ETL/ELT design and data pipeline orchestration. Streaming and event-driven data ...

/CD practicesProven experience with AWS cloud services and Kubernetes orchestrationComfort working with large-scale, complex datasets in financial/trading contextsData Platform ExpertiseAdvanced SQL with window functions and query optimization, realtime data synchronization together with database design and infrastructure supportExperience with data workflow and messaging orchestration (Airflow, Jenkins, AMPS ...

data platforms: Azure, AWS, and Google Cloud Platform (GCP). Strong experience with data warehousing, data lakes, and lakehouse architectures. Hands‐on experience with SQL and at least one programming language such as Python, Scala, or Java. ETL/ELT design and data pipeline orchestration. Streaming and event-driven data ...

Extensive experience with cloud platforms (AWS, GCP, or Azure) Experience with: o Data warehousing and lake architectures o ETL/ELT pipeline development o SQL and NoSQL databases o Distributed computing frameworks (Spark, Kinesis etc) o Software development best practices including CI/CD, TDD and version control. o Containerisation ...

delivery predictability· Strong experience in Data Science, Machine Learning, and Advanced Analytics to develop predictive, operational, and insight-driven solutions.· Proficiency in Python, SQL, and Data Engineering for data transformation, modelling, automation, and analytics development.· Strong proficiency in visualisation tools such as Power BI and Tableau to design interactive dashboards ...

Data Engineer London - Hybrid £65,000 - £75,000 Azure Data/SQL/Financial Services I'm currently working with a growing data and technology consultancy who are looking to bring a Data Engineer into their expanding delivery team. The business works with a range of organisations across telecommunications, financial … office 2 days per week. Key Responsibilities Develop and maintain scalable data pipelines using Azure Data Factory. Build and manage ETL processes using SQL and Python. Work with Azure Databricks and Azure SQL/SQL Server to process and manage large datasets. Design and implement data models using Kimball ...

Data Engineer London - Hybrid £65,000 - £75,000 Azure Data/SQL/Financial Services I'm currently working with a growing data and technology consultancy who are looking to bring a Data Engineer into their expanding delivery team. The business works with a range of organisations across telecommunications, financial … office 2 days per week. Key Responsibilities Develop and maintain scalable data pipelines using Azure Data Factory. Build and manage ETL processes using SQL and Python. Work with Azure Databricks and Azure SQL/SQL Server to process and manage large datasets. Design and implement data models using Kimball ...

Strong 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 DevOpsThis is a new opportunity to join a thriving team to be a key voice in modernizing core data platforms … Synapse‐based 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 BI and Analytics ...

standards and processes. Our Technology Stack You will work with a modern Microsoft data platform including: Azure Data Factory Azure Data Lake Gen2 Azure SQL Database/SQL Server Microsoft Power BI Tabular Models T-SQL PowerShell Azure Cloud Services Experience with the following would be advantageous: Synapse Analytics Databricks … data modelling techniques. Experience working with large and complex datasets from multiple sources. Expertise in Azure Data Factory, Azure Data Lake and Azure SQL technologies. Strong Power BI and data visualisation experience. Advanced SQL and data transformation skills. Excellent analytical and problem-solving capabilities. The ability to communicate technical concepts ...

standards and processes. Our Technology Stack You will work with a modern Microsoft data platform including: Azure Data Factory Azure Data Lake Gen2 Azure SQL Database/SQL Server Microsoft Power BI Tabular Models T-SQL PowerShell Azure Cloud Services Experience with the following would be advantageous: Synapse Analytics Databricks … data modelling techniques. Experience working with large and complex datasets from multiple sources. Expertise in Azure Data Factory, Azure Data Lake and Azure SQL technologies. Strong Power BI and data visualisation experience. Advanced SQL and data transformation skills. Excellent analytical and problem-solving capabilities. The ability to communicate technical concepts ...

ways to serve our customers and transform global markets. ICE is seeking a Senior Data Engineer who will be responsible for design and optimise SQL queries, develop stored procedures, and participate in the migration and modernisation of legacy applications to support ICE Derivatives and ICE Mortgage. The candidate should have … strong background in SQL and scripting. Responsibilities Provides Snowflake-based data warehouse design and development for projects involving new data integration, migration, and enhancement of existing pipelines. Designs and develops data transformation logic using SQL, Snowflake stored procedures, and Python-based scripts for ETL/ELT workloads. Builds and maintains ...

data warehouse and the data sync between our ERP and the wider estate. Our stack is Python, PySpark, Delta Lake and Databricks, with T‐SQL, Kimball dimensional modelling and Power BI on top, working closely with Microsoft Dynamics 365 Finance and Operations data structures. We are currently reviewing whether … underneath through to well built, performant Power BI reports. Design and build data pipelines in Python, PySpark and Delta Lake, and write the T‐SQL behind our models and reconciliations. Keep an eye on cost, performance and reliability across the platform, and keep improving what is already live. Working with ...

WebApps, Integration service environment, configuring monitoring & diagnostics, etc., and connectivity & security configurations (certificates, encryptions, etc.).In-depth knowledge and experience with Azure data storage (SQL Server, Data lake, Synapse, etc.) & access tools, APIs, cloud connectivity, and ETL processes.Knowledge and some experience of MS Office/MS Office 365 suite, SharePoint … Sync, Request/Response, Service Bus, Publish/Subscribe, Batch/Real-time, Scheduling, Event triggers, etc.In-depth knowledge and development experience using MS SQL Server (SSIS, T-SQL, Stored procedures, Functions, Views, Queries, Datatype conversions, etc.).Thorough understanding of the fundamental architecture of the cloud and on-prem MSFT ...

development and optimisation of analytics solutions. You will work closely with cross-functional teams to design, implement, and maintain robust analytics pipelines in SQL , leverage your expertise in Databricks using Python , and create impactful visualisations using Tableau or Power BI and other relevant technologies. This is a fantastic opportunity … maintain dashboards and reports to visualise and communicate insights derived from complex datasets . Design and implement scalable data pipelines using Databricks and SQL/Spark for efficient data processing and analysis. Collaborate with stakeholders to understand business requirements and translate them into analytical solutions. Optimise and enhance existing analytics ...

related disciplines within enterprise environments4+ years of hands-on experience designing and implementing solutions on the Databricks Lakehouse PlatformStrong expertise in Apache Spark, SQL, Python, Delta Lake, and modern data engineering practicesExperience building and optimizing Extract, Transform, Load and Extract, Load, Transform data pipelines for scalable analytics and artificial intelligence … Databricks Lakehouse Platform. Design and implement scalable data and analytics solutions leveraging Databricks technologiesBuild, maintain, and optimize data pipelines using Apache Spark, SQL, Python, and Delta LakeDevelop governed datasets and data products that support reporting, analytics, and artificial intelligence initiativesPartner with business stakeholders and technical teams to translate requirements into ...

disciplines within enterprise environments 4+ years of hands-on experience designing and implementing solutions on the Databricks Lakehouse Platform Strong expertise in Apache Spark, SQL, Python, Delta Lake, and modern data engineering practices Experience building and optimizing Extract, Transform, Load and Extract, Load, Transform data pipelines for scalable analytics … Databricks Lakehouse Platform. Design and implement scalable data and analytics solutions leveraging Databricks technologies Build, maintain, and optimize data pipelines using Apache Spark, SQL, Python, and Delta Lake Develop governed datasets and data products that support reporting, analytics, and artificial intelligence initiatives Partner with business stakeholders and technical teams ...