726 to 750 of 1,069 SQL Jobs in Central London

per week Employment Type: Full-time Salary: £90,000 – £110,000 (depending on experience) Overview An exciting opportunity has arisen for an experienced Principal Consultant with strong expertise in SQL Server, Data Warehousing, and Business Intelligence. The successful candidate will have a proven track record of designing, implementing, and managing complex data integration and reporting solutions, alongside leading a small … mentor an offshore team, ensuring high-quality output and clear task delegation. Design, develop, and maintain data integration processes using SAP Business Objects Data Services . Develop and manage SQL Server databases, including writing and optimising queries and stored procedures. Build and maintain data warehouse solutions to support reporting and analytics needs. Create and manage reports and dashboards using SAP … and optimise database and ETL performance, resolving any data warehousing or reporting issues. Implement and promote best practices across data management, integration, and reporting. Skills and Experience Essential: Advanced SQL skills and deep understanding of data warehousing concepts and architecture. Hands-on experience with SAP Business Objects (reporting) and SAP Business Objects Data Services (ETL). Proficiency in Crystal Reports More ❯

per week Employment Type: Full-time Salary: £90,000 – £110,000 (depending on experience) Overview An exciting opportunity has arisen for an experienced Principal Consultant with strong expertise in SQL Server, Data Warehousing, and Business Intelligence. The successful candidate will have a proven track record of designing, implementing, and managing complex data integration and reporting solutions, alongside leading a small … mentor an offshore team, ensuring high-quality output and clear task delegation. Design, develop, and maintain data integration processes using SAP Business Objects Data Services . Develop and manage SQL Server databases, including writing and optimising queries and stored procedures. Build and maintain data warehouse solutions to support reporting and analytics needs. Create and manage reports and dashboards using SAP … and optimise database and ETL performance, resolving any data warehousing or reporting issues. Implement and promote best practices across data management, integration, and reporting. Skills and Experience Essential: Advanced SQL skills and deep understanding of data warehousing concepts and architecture. Hands-on experience with SAP Business Objects (reporting) and SAP Business Objects Data Services (ETL). Proficiency in Crystal Reports More ❯

technical definitions. Advise clients on high-ROI data use cases and develop implementation roadmaps to realise value quickly. Analytics Engineering: Design and build scalable, high-integrity data models using SQL and modern tooling (e.g. dbt). Implement testing to ensure trust and integrity of the data pipelines. Collaborate with the data engineering team on the deployment and maintenance of data … oral. Ability to work confidently with large datasets, understanding relationships, cardinality, and data quality issues. Ability to communicate complex and technical topics in a simple manner. Technical Skills: Advanced SQL skills essential. Experience with visualisation tools, such as Metabase, Tableau, Looker and PowerBi. Knowledge of dbt. Familiarity with data warehouses like BigQuery, Snowflake and Redshift. Knowledge in another programming language More ❯

technical definitions. Advise clients on high-ROI data use cases and develop implementation roadmaps to realise value quickly. Analytics Engineering: Design and build scalable, high-integrity data models using SQL and modern tooling (e.g. dbt). Implement testing to ensure trust and integrity of the data pipelines. Collaborate with the data engineering team on the deployment and maintenance of data … oral. Ability to work confidently with large datasets, understanding relationships, cardinality, and data quality issues. Ability to communicate complex and technical topics in a simple manner. Technical Skills: Advanced SQL skills essential. Experience with visualisation tools, such as Metabase, Tableau, Looker and PowerBi. Knowledge of dbt. Familiarity with data warehouses like BigQuery, Snowflake and Redshift. Knowledge in another programming language More ❯

developers, fostering a collaborative learning environment. API Development: Design and build RESTful API endpoints using NodeJS and Express, including detailed API documentation. Database Management: Design, optimize, and maintain complex SQL data models, ensuring efficient data structures, query performance, and reliability. Full-Stack Development: Develop responsive and performant front-end applications using ReactJS, focusing on UX/UI best practices. Integration … and Next.JS. Solid experience in building RESTful APIs Leadership: Proven track record of leading development teams and managing large-scale projects. Database Expertise: In-depth experience with PostgreSQL/SQL, including design of complex schemas, writing queries and performance optimisation. Security & Performance: Deep understanding of application security best practices, performance tuning, and scalable architecture. Problem-Solving: Ability to troubleshoot complex More ❯

developers, fostering a collaborative learning environment. API Development: Design and build RESTful API endpoints using NodeJS and Express, including detailed API documentation. Database Management: Design, optimize, and maintain complex SQL data models, ensuring efficient data structures, query performance, and reliability. Full-Stack Development: Develop responsive and performant front-end applications using ReactJS, focusing on UX/UI best practices. Integration … and Next.JS. Solid experience in building RESTful APIs Leadership: Proven track record of leading development teams and managing large-scale projects. Database Expertise: In-depth experience with PostgreSQL/SQL, including design of complex schemas, writing queries and performance optimisation. Security & Performance: Deep understanding of application security best practices, performance tuning, and scalable architecture. Problem-Solving: Ability to troubleshoot complex More ❯

Data Engineer – Hedge Fund | AWS | SQL | Python | Power BI Location: London Contract: Full-time Salary: £150,000 + Bonus + Benefits A leading hedge fund is seeking a skilled Data Engineer to join its front-office technology team. This is a high-impact role where you’ll work directly with portfolio managers, quants, and analysts to design and deliver scalable … as a Data Engineer within financial services, ideally hedge funds or buy-side. Strong expertise in AWS (S3, Glue, Lambda, Redshift, Kinesis, etc.). Advanced skills in Python and SQL for building pipelines and optimising performance. Hands-on experience with Power BI for data visualisation and reporting. Strong understanding of equities trading and market data. Excellent communication and stakeholder management … bonus potential, and career growth opportunities. Chance to shape and scale modern data infrastructure with cutting-edge cloud technologies. If you’re a Data Engineer with strong AWS, Python, SQL, and Power BI skills, and want to apply your expertise in the dynamic world of equities trading, we’d love to hear from you. More ❯

and commercial data, ensuring comprehensive data quality and reliability for analytical insights and decision-making processes Implemented scalable data pipelines and ELT processes, leveraging Azure Databricks, Azure Data Factory & SQL store procedures to efficiently process, transform, and store large volumes of business data, resulting in streamlined data workflows and improved operational efficiency. Collaborate cross-functionally with stakeholders to understand data … decision-making across the organization's business units. What do I need to apply for the role High level of Azure data engineering experience Strong Azure Databricks experience Expert SQL Strong Python experience My client will be progressing with interviews next week so if you’re interested, get in touch ASAP with a copy of your most recent and up More ❯

Senior Full Stack Engineer | Node.js & SQL | Data‐Heavy FinTech Platform You’ll join a 50‐person, London/US SaaS scale‐up serving top‐tier investment firms with a market‐leading, data analytics platform for global credit investors (think Reuters and Bloomberg) The engineering org is London‐based (circa 13–14 people across DevOps, Frontend, AI/ML, Backend, and … to production, and contribute to how massive datasets are modelled, partitioned, and served to customers. Non‐Negotiables: 8–10 years’ software engineering experience across multiple environments Node.js backend development SQL mastery with experience of working with large‐scale, data‐heavy systems (our client has billions of rows) Architectural design experience and comfort with frequent releases/peer review Product mindset … team events; cycle to work; choice of quality hardware A great role here and the chance to work with an awesome team. Apply ASAP! Senior Full Stack Engineer | Node.js & SQL | Data‐Heavy FinTech Platform More ❯

Senior Full Stack Engineer | Node.js & SQL | Data‐Heavy FinTech Platform You’ll join a 50‐person, London/US SaaS scale‐up serving top‐tier investment firms with a market‐leading, data analytics platform for global credit investors (think Reuters and Bloomberg) The engineering org is London‐based (circa 13–14 people across DevOps, Frontend, AI/ML, Backend, and … to production, and contribute to how massive datasets are modelled, partitioned, and served to customers. Non‐Negotiables: 8–10 years’ software engineering experience across multiple environments Node.js backend development SQL mastery with experience of working with large‐scale, data‐heavy systems (our client has billions of rows) Architectural design experience and comfort with frequent releases/peer review Product mindset … team events; cycle to work; choice of quality hardware A great role here and the chance to work with an awesome team. Apply ASAP! Senior Full Stack Engineer | Node.js & SQL | Data‐Heavy FinTech Platform More ❯

Test Lead City of London - Flexible Working (2 days on-site) Permanent Salary: £65-72,000 per annum + permanent benefits About the Role We're looking for an experienced Test Lead to play a pivotal role in ensuring the More ❯

IR35 Application Support Analyst urgently required by a leading financial services firm in the City. Core part of the role is and resolving tickets tied to legacy applications - VB.NET, SQL, C#. Key Responsibilities First point of contact for legacy system issuestriaging, updating, and resolving support tickets Investigate issues within legacy applications - VB.NET, SQL, and C#. Execute SQL queries and data … Monitor system alerts and performance metrics Key Skills - MUST HAVES Proven experience in customer-facing technical support, with a service-first mindset. General knowledge of software development principles VB.NET, SQL, C#, SQL, SSIS/SSRS Familiar with ITIL frameworks and comfortable navigating incident/change workflows. Great chance for a long term contract opportunity, 6 month initial contract, City based More ❯

pipelines Key job responsibilities • Design, develop, and oversee the reporting pipelines to onboard internal and external data sources provided metrics into reporting and measurement tool, using appropriate technologies (e.g., SQL, Python, Spark, AWS Lambda, etc.) • Design, develop and optimize data visualization for the dashboards used across functional teams within XCM • Collaborate with stakeholders (marketing, advertising, engineering, and product management) to … of paid media buying and general marketing • Experience with data visualization using Tableau, Quicksight, or similar tools • Experience with data modeling, warehousing and building ETL pipelines • Experience writing complex SQL queries • Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modelling • Experience developing and presenting recommendations of new metrics … of paid media buying and general marketing • Experience with data visualization using Tableau, Quicksight, or similar tools • Experience with data modeling, warehousing and building ETL pipelines • Experience writing complex SQL queries • Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modelling • Experience developing and presenting recommendations of new metrics More ❯

pipelines Key job responsibilities • Design, develop, and oversee the reporting pipelines to onboard internal and external data sources provided metrics into reporting and measurement tool, using appropriate technologies (e.g., SQL, Python, Spark, AWS Lambda, etc.) • Design, develop and optimize data visualization for the dashboards used across functional teams within XCM • Collaborate with stakeholders (marketing, advertising, engineering, and product management) to … of paid media buying and general marketing • Experience with data visualization using Tableau, Quicksight, or similar tools • Experience with data modeling, warehousing and building ETL pipelines • Experience writing complex SQL queries • Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modelling • Experience developing and presenting recommendations of new metrics … of paid media buying and general marketing • Experience with data visualization using Tableau, Quicksight, or similar tools • Experience with data modeling, warehousing and building ETL pipelines • Experience writing complex SQL queries • Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modelling • Experience developing and presenting recommendations of new metrics More ❯

understanding of structured data management and enterprise data best practices. - Proven experience implementing Business Intelligence (BI) solutions and operational dashboards. - Advanced proficiency with Microsoft BI Stack: SSIS, SSRS - Strong SQL Server skills and SQL querying experience - Hands-on experience with Google Cloud Platform tools including: BigQuery; Composer; Apache Airflow; Stream; Informatica; Vertex AI - Tableau dashboard development and reporting - Python programming More ❯

is highly preferred. Strong understanding of customer service workflows and ability to identify operational pain points; familiarity with B2B/B2C tool design standards. Skilled in data analysis tools (SQL, Excel, Tableau, etc.) with strong data-driven decision-making capabilities. Experience managing cross-border or multilingual customer service processes (e.g., multi-time zone scheduling, localization). Excellent command of English More ❯

is highly preferred. Strong understanding of customer service workflows and ability to identify operational pain points; familiarity with B2B/B2C tool design standards. Skilled in data analysis tools (SQL, Excel, Tableau, etc.) with strong data-driven decision-making capabilities. Experience managing cross-border or multilingual customer service processes (e.g., multi-time zone scheduling, localization). Excellent command of English More ❯

Integration Specialist (FIX Protocol/FIX connectivity/FIX onboarding/UNIX/LINUX/SQL) This role is 4 days a week in the office 1 day remote and could change to 3 days a week in the 2 days remote in the future Our client actively encourages diversity, equality and inclusion within its workforce and welcomes applications from More ❯

real opportunity to showcase your talents. Key Responsibilities Design and develop ETL pipelines using Azure Data Factory for data ingestion and transformation Work with Azure Data Lake, Synapse, and SQL DW to manage large volumes of data Develop data transformation logic using SQL, Python, and PySpark code Collaborate with cross-functional teams to translate business requirements into data solutions Create … 8+ years' experience in data engineering, ETL development and big data solutions Recent experience within Insurance Technology essential Solid expertise with Azure Databricks, Data Factory, ADLS, Synapse, and Azure SQL Strong skills in SQL, Python, and PySpark Solid understanding of DevOps, CI/CD, and Agile methodologies Excellent communication and stakeholder management skills More ❯

real opportunity to showcase your talents. Key Responsibilities Design and develop ETL pipelines using Azure Data Factory for data ingestion and transformation Work with Azure Data Lake, Synapse, and SQL DW to manage large volumes of data Develop data transformation logic using SQL, Python, and PySpark code Collaborate with cross-functional teams to translate business requirements into data solutions Create … 8+ years' experience in data engineering, ETL development and big data solutions Recent experience within Insurance Technology essential Solid expertise with Azure Databricks, Data Factory, ADLS, Synapse, and Azure SQL Strong skills in SQL, Python, and PySpark Solid understanding of DevOps, CI/CD, and Agile methodologies Excellent communication and stakeholder management skills More ❯

continuous integration. Understanding of concurrency, asynchrony, and parallelism. Experience with Test Driven Development (TDD), unit testing frameworks, mocking frameworks, and patterns for testability. Proficiency in relational database concepts, Microsoft SQL Server , and SQL . Familiarity with front-end technologies such as HTML , CSS , and JavaScript . Experience in Web API design and implementation. Desirable: Commercial experience with Typescript . Experience More ❯

background with Microsoft Dynamics NAV/Business Central, including C/AL and AL languages. Knowledge of PowerApps, Power Automate, and Common Data Service (CDS). Database experience with SQL Server, Azure SQL, and MongoDB. Proficiency in REST APIs, SOAP, JSON, XML. Familiarity with Agile and DevOps approaches. Why join Work for a global brand known for offering lots of More ❯

optimize, and maintain ETL pipelines for efficient data integration and transformation. Oversee data storage solutions, including backup and recovery strategies to ensure data integrity and availability. Write and manage SQL queries to extract, manipulate, and analyze data for reporting and decision-making. Implement robust data security and privacy protocols in compliance with relevant regulations and best practices. Collaborate with clients … and end users to gather requirements, provide updates, and deliver tailored data solutions. Qualifications Proficient in writing clean, efficient, and maintainable SQL and Python code, particularly for data transformation and analytics use cases. Understanding of data modelling concepts and be able to design data models that are optimised for different user cases. Familiarity with SQL and experience working with and More ❯

optimize, and maintain ETL pipelines for efficient data integration and transformation. Oversee data storage solutions, including backup and recovery strategies to ensure data integrity and availability. Write and manage SQL queries to extract, manipulate, and analyze data for reporting and decision-making. Implement robust data security and privacy protocols in compliance with relevant regulations and best practices. Collaborate with clients … and end users to gather requirements, provide updates, and deliver tailored data solutions. Qualifications Proficient in writing clean, efficient, and maintainable SQL and Python code, particularly for data transformation and analytics use cases. Understanding of data modelling concepts and be able to design data models that are optimised for different user cases. Familiarity with SQL and experience working with and More ❯

is looking to hire a very talented Senior Data Engineer to take a leading role in building and scaling the data foundations of the platform. You’ll combine strong SQL and Python skills with a DevOps mindset, architecting pipelines, automating workflows, and ensuring AI outputs are production-ready. Requirements 3+ years’ experience in Data Engineering or Data Platform development Experience … working with First-Party Data Strong SQL and Python fluency (data transformations, orchestration, automation) Expertise in data modelling (dimensional, event-based, ML-aligned) Experience with helping to build ML models and orchestrating into production Familiarity with cloud ecosystems - Azure, AWS, or GCP Experience with CI/CD tools (Azure DevOps, GitHub Actions, or similar) Excellent communication skills and a structured More ❯