601 to 625 of 987 SQL Jobs in the City of London

Adobe Campaign, Iterable). Proven track record managing CRM migrations and/or upgrades (Braze experience strongly preferred; ability to learn legacy platforms quickly essential). Strong technical background: SQL, APIs, SDKs, data modelling, ETLs. Ability to code and maintain email/app templates using HTML, CSS, and Liquid within Braze (or comparable platform). Familiarity with warehouse-driven CRM More ❯

to-Have Sage Intacct certification or experience. Experience with Contract/Subscription Billing, Revenue Recognition, or Multi-Entity Consolidation. Exposure to integration tools or data migration (e.g. API, CSV, SQL). Prior consulting experience with clients in growth-phase or PE-backed businesses. Our Values We listen, we hear, we plan, we act. We take pride in even the small More ❯

to-Have Sage Intacct certification or experience. Experience with Contract/Subscription Billing, Revenue Recognition, or Multi-Entity Consolidation. Exposure to integration tools or data migration (e.g. API, CSV, SQL). Prior consulting experience with clients in growth-phase or PE-backed businesses. Our Values We listen, we hear, we plan, we act. We take pride in even the small More ❯

into a more engineering-focused position, someone who enjoys understanding the business context just as much as building the data solutions behind it. Youll work extensively with Python , Snowflake , SQL , and dbt to design, build, and maintain scalable, high-quality data pipelines and models that support decision-making across the business. This is a hands-on, collaborative role, suited to … teams, not a heads-down coder type. Top 4 Core Skills Python workflow automation, data processing, and ETL/ELT development. Snowflake scalable data architecture, performance optimisation, and governance. SQL expert-level query writing and optimisation for analytics and transformations. dbt (Data Build Tool) modular data modelling, testing, documentation, and version control. Key Responsibilities Design, build, and maintain dbt models … and SQL transformations to support analytical and operational use cases. Develop and maintain Python workflows for data ingestion, transformation, and automation. Engineer scalable, performant Snowflake pipelines and data models aligned with business and product needs. Partner closely with analysts, product managers, and engineers to translate complex business requirements into data-driven solutions. Write production-grade SQL and ensure data quality More ❯

a more engineering-focused position, someone who enjoys understanding the business context just as much as building the data solutions behind it. You'll work extensively with Python , Snowflake , SQL , and dbt to design, build, and maintain scalable, high-quality data pipelines and models that support decision-making across the business. This is a hands-on, collaborative role, suited to … teams, not a "heads-down coder" type. Top 4 Core Skills Python - workflow automation, data processing, and ETL/ELT development. Snowflake - scalable data architecture, performance optimisation, and governance. SQL - expert-level query writing and optimisation for analytics and transformations. dbt (Data Build Tool) - modular data modelling, testing, documentation, and version control. Key Responsibilities Design, build, and maintain dbt models … and SQL transformations to support analytical and operational use cases. Develop and maintain Python workflows for data ingestion, transformation, and automation. Engineer scalable, performant Snowflake pipelines and data models aligned with business and product needs. Partner closely with analysts, product managers, and engineers to translate complex business requirements into data-driven solutions. Write production-grade SQL and ensure data quality More ❯

a more engineering-focused position, someone who enjoys understanding the business context just as much as building the data solutions behind it. You’ll work extensively with Python , Snowflake , SQL , and dbt to design, build, and maintain scalable, high-quality data pipelines and models that support decision-making across the business. This is a hands-on, collaborative role, suited to … teams, not a “heads-down coder” type. Top 4 Core Skills Python — workflow automation, data processing, and ETL/ELT development. Snowflake — scalable data architecture, performance optimisation, and governance. SQL — expert-level query writing and optimisation for analytics and transformations. dbt (Data Build Tool) — modular data modelling, testing, documentation, and version control. Key Responsibilities Design, build, and maintain dbt models … and SQL transformations to support analytical and operational use cases. Develop and maintain Python workflows for data ingestion, transformation, and automation. Engineer scalable, performant Snowflake pipelines and data models aligned with business and product needs. Partner closely with analysts, product managers, and engineers to translate complex business requirements into data-driven solutions. Write production-grade SQL and ensure data quality More ❯

Factory, Notebooks and SSIS. Develop Power BI dashboards and paginated reports tailored to business needs. Model complex datasets into actionable insights using star schemas, snowflakes, and denormalised models. Optimise SQL queries and build semantic models within Fabric. Collaborate with cross-functional teams to translate business requirements into technical solutions. Support CI/CD deployment processes using Azure DevOps. Required Skills … Experience Strong expertise in Power BI, DAX, SQL, and data architecture. Proven experience with Azure Data Factory, Fabric Lakehouse/Warehouse, and Synapse. Proficiency in PySpark, T-SQL, and data transformation using Notebooks. Familiarity with DevOps, ARM/Bicep templates, and semantic modelling. Experience delivering enterprise-scale BI/data warehouse programmes. Exposure to Microsoft D365 Finance and Operations/ More ❯

Factory, Notebooks and SSIS. Develop Power BI dashboards and paginated reports tailored to business needs. Model complex datasets into actionable insights using star schemas, snowflakes, and denormalised models. Optimise SQL queries and build semantic models within Fabric. Collaborate with cross-functional teams to translate business requirements into technical solutions. Support CI/CD deployment processes using Azure DevOps. Required Skills … Experience Strong expertise in Power BI, DAX, SQL, and data architecture. Proven experience with Azure Data Factory, Fabric Lakehouse/Warehouse, and Synapse. Proficiency in PySpark, T-SQL, and data transformation using Notebooks. Familiarity with DevOps, ARM/Bicep templates, and semantic modelling. Experience delivering enterprise-scale BI/data warehouse programmes. Exposure to Microsoft D365 Finance and Operations/ More ❯

pipelines using Fabric Pipelines, Azure Data Factory, Notebooks and SSIS Produce enterprise-grade Power BI dashboards and paginated reports Translate business requirements into scalable technical BI solutions Write advanced SQL for Fabric Lakehouse and Warehouse environments Implement CI/CD processes using Azure DevOps for secure, reliable deployment Technical Skills: Strong expertise in: Power BI and paginated reporting SQL and … data transformation logic Azure Fabric, Azure Data Factory, Synapse, Data Lakes and Lakehouse/Warehouse technologies ETL/ELT orchestration for structured and unstructured data Proficiency in: PySpark, T-SQL, Notebooks and advanced data manipulation Performance monitoring and orchestration of Fabric solutions Power BI semantic models and Fabric data modelling DevOps deployment using ARM/Bicep templates End-to-end More ❯

pipelines using Fabric Pipelines, Azure Data Factory, Notebooks and SSIS Produce enterprise-grade Power BI dashboards and paginated reports Translate business requirements into scalable technical BI solutions Write advanced SQL for Fabric Lakehouse and Warehouse environments Implement CI/CD processes using Azure DevOps for secure, reliable deployment Technical Skills: Strong expertise in: Power BI and paginated reporting SQL and … data transformation logic Azure Fabric, Azure Data Factory, Synapse, Data Lakes and Lakehouse/Warehouse technologies ETL/ELT orchestration for structured and unstructured data Proficiency in: PySpark, T-SQL, Notebooks and advanced data manipulation Performance monitoring and orchestration of Fabric solutions Power BI semantic models and Fabric data modelling DevOps deployment using ARM/Bicep templates End-to-end More ❯

IT Support Analyst acts as the dedicated technical specialist for all Finance-related systems, providing expert-level support, system administration, and data management across platforms such as Microsoft Dynamics, SQL Server, Visual Studio, Power Bi, Metabase and associated tools. In addition to Finance systems expertise, this role provides general IT function, contributing to the stability, integration, and performance of business … the primary IT point of contact for Finance systems, ensuring smooth operation and timely issue resolution. Support and administer Microsoft Dynamics, Evision and related financial applications. Develop and maintain SQL scripts, queries, and reports to support Finance data analysis and system integrations. Manage data pipelines and transformations using DBT and other tools to ensure data accuracy and integrity. Maintain and … Operations. Assist with audit preparation, ensuring Finance systems meet internal and external compliance standards. Qualifications & Experience Essential: Strong hands-on experience with Microsoft Dynamics (Evision, Jet reports) Proficient in SQL for query writing, data manipulation, and reporting. Working knowledge of Metabase and Power BI. Experience with DBT for data transformation and pipeline management. Excellent troubleshooting, communication, and documentation skills. Desirable More ❯

within a large-scale or global organisation. Strong expertise in the Azure data ecosystem, including: Azure Data Lake/Data Lakehouse Azure Data Factory/Synapse Pipelines Databricks Azure SQL Database or Synapse Analytics Solid understanding of data warehousing principles, ETL/ELT design, and data modelling Experience with CI/CD Familiarity with data quality frameworks and data governance. … Strong SQL and Python skills. Experience working in Agile delivery environments. To apply for this role please email across your CV ASAP. More ❯

within a large-scale or global organisation. Strong expertise in the Azure data ecosystem, including: Azure Data Lake/Data Lakehouse Azure Data Factory/Synapse Pipelines Databricks Azure SQL Database or Synapse Analytics Solid understanding of data warehousing principles, ETL/ELT design, and data modelling Experience with CI/CD Familiarity with data quality frameworks and data governance. … Strong SQL and Python skills. Experience working in Agile delivery environments. To apply for this role please email across your CV ASAP. More ❯

decisions. What You’ll Do Lead the development and deployment of advanced analytics, data science, and machine learning tools and solutions. Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to deliver actionable insights from complex data. Guide and mentor junior data scientists and analysts, fostering a culture of growth and technical excellence. Collaborate with cross … ML services, Docker, Kubernetes. Exposure to Agile development environments and software engineering best practices. Experience working in large or complex organisations or regulated industries. Strong working knowledge of Excel, SQL, Power BI, and Tableau. Why Join? Work in a fast-growth, innovation-driven environment. Be part of a diverse and inclusive team where your contributions are valued. Tackle meaningful challenges More ❯

decisions. What You’ll Do Lead the development and deployment of advanced analytics, data science, and machine learning tools and solutions. Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to deliver actionable insights from complex data. Guide and mentor junior data scientists and analysts, fostering a culture of growth and technical excellence. Collaborate with cross … ML services, Docker, Kubernetes. Exposure to Agile development environments and software engineering best practices. Experience working in large or complex organisations or regulated industries. Strong working knowledge of Excel, SQL, Power BI, and Tableau. Why Join? Work in a fast-growth, innovation-driven environment. Be part of a diverse and inclusive team where your contributions are valued. Tackle meaningful challenges More ❯

model, query, and optimise data for analysis and reporting. Support the team in the transition to Microsoft Fabric, assisting with data model migration and integration activities. Write and optimise SQL queries to support data preparation and reporting needs. Collaborate with analysts, engineers, and business teams to understand requirements and deliver fit-for-purpose solutions. Contribute to data quality checks, documentation … models using DAX and Power Query. Azure Data Factory: Hands-on experience building and maintaining ETL pipelines. Azure Synapse Analytics: Working knowledge of data modelling, views, and performance tuning. SQL: Proficient in writing, optimising, and troubleshooting queries. Azure Data Lake: Understanding of data storage and structure for analytics use cases. Git/Azure DevOps: Familiar with version control and Agile More ❯

model, query, and optimise data for analysis and reporting. Support the team in the transition to Microsoft Fabric, assisting with data model migration and integration activities. Write and optimise SQL queries to support data preparation and reporting needs. Collaborate with analysts, engineers, and business teams to understand requirements and deliver fit-for-purpose solutions. Contribute to data quality checks, documentation … models using DAX and Power Query. Azure Data Factory: Hands-on experience building and maintaining ETL pipelines. Azure Synapse Analytics: Working knowledge of data modelling, views, and performance tuning. SQL: Proficient in writing, optimising, and troubleshooting queries. Azure Data Lake: Understanding of data storage and structure for analytics use cases. Git/Azure DevOps: Familiar with version control and Agile More ❯

that span infrastructure, reporting, and tooling-making a tangible impact on the fund's performance and scalability. Key Responsibilities Build and maintain robust data pipelines and automations using Python, SQL, and Excel/VBA Integrate external data feeds and APIs into internal systems and databases Develop dashboards and reporting tools to support trading, risk, and operations Manage infrastructure hosted on … data-focused, or quantitative role Bachelor's degree in a STEM field (Computer Science, Engineering, Maths, Physics, etc.) Strong Python skills for scripting, data processing, and API integration Solid SQL experience for data manipulation and querying Proficiency in Excel/VBA for reporting and automation Familiarity with Microsoft Azure infrastructure and Git version control Excellent problem-solving and communication skills More ❯

that span infrastructure, reporting, and tooling-making a tangible impact on the fund's performance and scalability. Key Responsibilities Build and maintain robust data pipelines and automations using Python, SQL, and Excel/VBA Integrate external data feeds and APIs into internal systems and databases Develop dashboards and reporting tools to support trading, risk, and operations Manage infrastructure hosted on … data-focused, or quantitative role Bachelor's degree in a STEM field (Computer Science, Engineering, Maths, Physics, etc.) Strong Python skills for scripting, data processing, and API integration Solid SQL experience for data manipulation and querying Proficiency in Excel/VBA for reporting and automation Familiarity with Microsoft Azure infrastructure and Git version control Excellent problem-solving and communication skills More ❯

FastAPI and a deep understanding of how to build production-grade APIs used at scale. Must Have: Strong expertise in Python and the FastAPI framework. Strong experience with both SQL and NoSQL databases, including schema design and query optimization. Nice to Have: Experience with data transformation tools like DBT. Proficiency with AI-powered development tools. Experience or interest in supply More ❯

FastAPI and a deep understanding of how to build production-grade APIs used at scale. Must Have: Strong expertise in Python and the FastAPI framework. Strong experience with both SQL and NoSQL databases, including schema design and query optimization. Nice to Have: Experience with data transformation tools like DBT. Proficiency with AI-powered development tools. Experience or interest in supply More ❯

REST is preferable). ++ Designing for use with User Interfaces would be a plus. Event-driven architecture patterns Familiarity with AWS and Kubernetes (Containers) would be a bonus SQL and NOSQL Database familiarity Stakeholder communication – explaining complex ideas to non-technical audiences Leadership – guiding developers and influencing lower-level technical direction with Lead Engineers More ❯

REST is preferable). ++ Designing for use with User Interfaces would be a plus. Event-driven architecture patterns Familiarity with AWS and Kubernetes (Containers) would be a bonus SQL and NOSQL Database familiarity Stakeholder communication – explaining complex ideas to non-technical audiences Leadership – guiding developers and influencing lower-level technical direction with Lead Engineers More ❯

multi-channel outbound campaigns to generate qualified meetings for the Enterprise Account Executive team. Conduct deep research to map accounts and identify key decision-makers. Reach and exceed monthly SQL targets and maintain immaculate data hygiene in the CRM. Key Requirements: 2+ years of successful SDR/BDR experience in B2B SaaS (Enterprise ideally). Proven expertise in booking high More ❯

platform. We are looking for: Experience with Boomi integration Strong exposure to data integration and knowledge of databases An understanding of data structures within a variety of database platforms (SQL, MySQL, MARIA, Oracle) Great stakeholder management It would be a bonus if you had: Worked within a medium-large organisation previously – giving you familiarity to complex teams and multiple stakeholder More ❯