101 to 125 of 4,443 SQL Jobs in London

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 ...

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 ...

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 ...

data solutions. Key Responsibilities Engage directly with business stakeholders, report owners, and customers to gather, analyze, and refine business requirements. Translate business requirements into SQL-based data analysis, reports, dashboards, and actionable insights. Perform root cause analysis and investigate data quality, reporting, and operational issues. Develop ad hoc analyses, prototypes … ensuring alignment with business objectives. Drive continuous improvement in reporting, analytics processes, and data governance practices. Required Skills & Experience Technical Skills Strong expertise in SQL with the ability to write complex queries, troubleshoot issues, and perform advanced data analysis. Proficiency in Python for data analysis, data profiling, exploratory analysis ...

practice standards. Essential Skills & Experience Strong experience working with Oracle Database technologies. Proven experience in ETL development, data integration and data migration projects. Strong SQL and PL/SQL development skills. Experience designing and maintaining large-scale data warehouses and data pipelines. Knowledge of data modelling, database performance tuning ...

best practice standards. Essential Skills & ExperienceStrong experience working with Oracle Database technologies. Proven experience in ETL development, data integration and data migration projects. Strong SQL and PL/SQL development skills. Experience designing and maintaining large-scale data warehouses and data pipelines. Knowledge of data modelling, database performance tuning ...

routing across internal and external systemsBuild robust Python-based services, APIs, and microservices supporting portfolio analytics, optimization workflows, and data pipelinesDesign and optimize SQL-based data processing (PostgreSQL, SQL Server), including complex queries, performance tuning, and large-scale ETL workflows. Implement and support distributed, event-driven architectures (e.g., Kafka, asynchronous … engineering or data engineering (financial services or asset management experience preferred). Proven Python experience, including data processing, APIs, or service-based architecture. Proven SQL experience (PostgreSQL, SQL Server, and/or Snowflake), including performance tuning and ETL workflows. Experience with cloud-native development (AWS) and containerized environments. , Experience with ...

across key operational and financial processes. As an Audit Analytics Specialist, you will be responsible for: Developing and maintaining audit analytics using Python, R, SQL, ACL, and related technologiesDelivering technology and innovation initiatives involving data extraction, automation, visualization, and reportingSupporting the development and deployment of AI-enabled audit and workflow … processes through emerging technologies and continuous innovationEssential SkillsStrong experience with data analytics, data engineering, audit analytics, or data science methodologiesHands-on proficiency in Python, SQL, R, ACL, or similar analytical programming toolsExperience building dashboards and visualizations using Power BI, Tableau, or equivalent platformsUnderstanding of ETL processes, data quality management ...

capturing requirements and Governance & Control documentation, knowledge of GDS is an added advantageApplied experience of metadata analysis, fields/entity, and data lineage, sql/no sql databasesExperience with one of Azure/AWS/GCPETL tools like Informatica, Alteryx and Business Glossary tools like Collibra, Azure Purview or Apache ...