126 to 150 of 1,472 SQL Jobs in Central London

can improve data architecture and recommend tools for adoption. Your Profile Key Skills/Knowledge/Experience • Strong expertise in data modeling techniques (conceptual, logical, physical). • Proficiency in SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, Cassandra). • In-depth knowledge of data warehousing concepts and tools (e.g., Redshift, Snowflake, Google BigQuery). • Experience with big data platforms (e.g. More ❯

ensuring minimal disruption to business operations. Optimize data storage and retrieval mechanisms across cloud-based databases, preferably Azure CosmosDB, Neo4j Graph DB (or similar technology e.g., Amazon RDS, Azure SQL, BigQuery, NoSQL). Architect microservices-based applications, ensuring modular, scalable, and API-first designs Design and implement application security controls, including IAM, Zero Trust models, encryption, and API security best More ❯

Data Analyst - Holborn London Our Client is looking to recruit a Data Analyst with at least 5 years proven experience. As a Data Analyst you will ensure that all data is processed and quality assured so that it can be More ❯

We’re Hiring: Senior SQL Database Developer Must have Investment Banking experiences 📍 Location: London/Hybrid (3 days on-site) 🕒 Duration: 6 months (with potential extension) Are you a seasoned SQL Developer ready to make an impact in a high-stakes, fast-paced environment? We’re looking for a Senior SQL Database Developer to join a major financial services initiative … driving complex data solutions and working closely with cross-functional teams on mission-critical projects. In this role, you’ll: Build and optimise complex SQL queries and stored procedures Lead ETL development using SSIS and reporting using SSRS Develop data-driven applications with C# Collaborate with stakeholders and mentor junior developers Monitor and improve database performance Apply your understanding of … capital markets to real-world data challenges 🎯 What You’ll Bring: Proven experience in SQL development (preferably in investment banking or financial services) Strong hands-on knowledge of SQL, SSIS, SSRS , and C# Exposure to Azure data services is a plus Exceptional problem-solving and communication skills Passion for mentoring and stakeholder engagement If you're ready to lead in More ❯

We’re Hiring: Senior SQL Database Developer Must have Investment Banking experiences 📍 Location: London/Hybrid (3 days on-site) 🕒 Duration: 6 months (with potential extension) Are you a seasoned SQL Developer ready to make an impact in a high-stakes, fast-paced environment? We’re looking for a Senior SQL Database Developer to join a major financial services initiative … driving complex data solutions and working closely with cross-functional teams on mission-critical projects. In this role, you’ll: Build and optimise complex SQL queries and stored procedures Lead ETL development using SSIS and reporting using SSRS Develop data-driven applications with C# Collaborate with stakeholders and mentor junior developers Monitor and improve database performance Apply your understanding of … capital markets to real-world data challenges 🎯 What You’ll Bring: Proven experience in SQL development (preferably in investment banking or financial services) Strong hands-on knowledge of SQL, SSIS, SSRS , and C# Exposure to Azure data services is a plus Exceptional problem-solving and communication skills Passion for mentoring and stakeholder engagement If you're ready to lead in More ❯

ll Be Doing Designing and delivering robust, secure data pipelines using tools like Azure Data Factory , dbt , Fabric , and Dataverse Leading technical implementation across projects with strong Python and SQL skills Supporting test strategies and automation to ensure data quality and reliability Mentoring engineers and fostering a culture of technical excellence and continuous improvement Engaging directly with clients and stakeholders … SC Clearance Proven experience with Microsoft Azure (Data Lake, Synapse, Purview) Strong understanding of secure data handling, DevOps, and compliance Experience with structured and unstructured data sources (e.g., Azure SQL, MongoDB) Familiarity with Power BI, including data modelling and DAX Desirable: Government/defence sector experience Microsoft/Azure certifications or equivalent Experience delivering AI-driven data solutions More ❯

practical, data-led solutions to complex challenges. What we’re looking for: Experience in trust and agency services or transaction banking. Strong Excel skills and hands-on experience with SQL and SSRS . Demonstrated ability to support or lead change management initiatives. Excellent problem-solving skills and time management. Strong interpersonal skills with confidence in communicating across all levels. Knowledge More ❯

practical, data-led solutions to complex challenges. What we’re looking for: Experience in trust and agency services or transaction banking. Strong Excel skills and hands-on experience with SQL and SSRS . Demonstrated ability to support or lead change management initiatives. Excellent problem-solving skills and time management. Strong interpersonal skills with confidence in communicating across all levels. Knowledge More ❯

Cloud Platform (GCP) and tools like Looker, gaining exposure to modern data technologies Essential Experience: * Strong expertise in Power BI dashboard/report development and DAX * Solid experience in SQL/T-SQL for data extraction and transformation * Hands-on experience with Azure technologies (Data Lake, Data Factory, Synapse, etc.) * Data modelling experience (star/snowflake schemas, normalization, etc.) * Familiarity More ❯

looking for... Python Strong analytical and problem-solving skills with deep expertise in data modeling, ETL processes, data warehousing, and machine learning lifecycle management. Strong experience with Data Lakes SQL Building and managing fully automated data pipelines (ETL, ELT, ELTL) including: Designing and building data interfaces to source systems Combining and transforming data into the appropriate format for storage Developing More ❯

data technologies. Exposure across all the SDLC process, including testing and deployment. Expertise in Microsoft Azure is mandatory including components like Azure Data Factory, Azure Data Lake Storage, Azure SQL, Azure DataBricks, HD Insights, ML Service etc. Good knowledge of Python and Spark are required. Experience in ETL & ELT Good understanding of one scripting language Good understanding of how to … Skills: Data Ops, ML Ops, Deep expertise in Azure Databricks, ETL frameworks. Expertise in Microsoft Azure is mandatory including components like Azure Data Factory, Azure Data Lake Storage, Azure SQL, Azure DataBricks, HD Insights, ML Service etc. Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to More ❯

data technologies. Exposure across all the SDLC process, including testing and deployment. Expertise in Microsoft Azure is mandatory including components like Azure Data Factory, Azure Data Lake Storage, Azure SQL, Azure DataBricks, HD Insights, ML Service etc. Good knowledge of Python and Spark are required. Experience in ETL & ELT Good understanding of one scripting language Good understanding of how to … Skills: Data Ops, ML Ops, Deep expertise in Azure Databricks , ETL frameworks. Expertise in Microsoft Azure is mandatory including components like Azure Data Factory, Azure Data Lake Storage, Azure SQL, Azure DataBricks, HD Insights, ML Service etc. Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to More ❯

data technologies. Exposure across all the SDLC process, including testing and deployment. Expertise in Microsoft Azure is mandatory including components like Azure Data Factory, Azure Data Lake Storage, Azure SQL, Azure DataBricks, HD Insights, ML Service etc. Good knowledge of Python and Spark are required. Experience in ETL & ELT Good understanding of one scripting language Good understanding of how to … Skills: Data Ops, ML Ops, Deep expertise in Azure Databricks, ETL frameworks. Expertise in Microsoft Azure is mandatory including components like Azure Data Factory, Azure Data Lake Storage, Azure SQL, Azure DataBricks, HD Insights, ML Service etc. Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to More ❯

data technologies. Exposure across all the SDLC process, including testing and deployment. Expertise in Microsoft Azure is mandatory including components like Azure Data Factory, Azure Data Lake Storage, Azure SQL, Azure DataBricks, HD Insights, ML Service etc. Good knowledge of Python and Spark are required. Experience in ETL & ELT Good understanding of one scripting language Good understanding of how to … Skills: Data Ops, ML Ops, Deep expertise in Azure Databricks , ETL frameworks. Expertise in Microsoft Azure is mandatory including components like Azure Data Factory, Azure Data Lake Storage, Azure SQL, Azure DataBricks, HD Insights, ML Service etc. Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to More ❯

Collaborate with analysts, developers, and business stakeholders What You Bring: 2+ years in data engineering or related roles Bachelor’s in CS, Engineering, Mathematics, Finance, etc. Proficiency in Python, SQL , and one or more: R, Java, Scala Experience with relational/NoSQL databases (e.g., PostgreSQL, MongoDB) Familiarity with big data tools (Hadoop, Spark, Kafka), cloud platforms (Azure, AWS, GCP), and More ❯

data technologies. Exposure across all the SDLC process, including testing and deployment. Expertise in Microsoft Azure is mandatory including components like Azure Data Factory, Azure Data Lake Storage, Azure SQL, Azure DataBricks, HD Insights, ML Service etc. Good knowledge of Python and Spark are required. Experience in ETL & ELT Good understanding of one scripting language Good understanding of how to … Skills: Data Ops, ML Ops, Deep expertise in Azure Databricks , ETL frameworks. Expertise in Microsoft Azure is mandatory including components like Azure Data Factory, Azure Data Lake Storage, Azure SQL, Azure DataBricks, HD Insights, ML Service etc. Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to More ❯

Collaborate with analysts, developers, and business stakeholders What You Bring: 2+ years in data engineering or related roles Bachelor’s in CS, Engineering, Mathematics, Finance, etc. Proficiency in Python, SQL , and one or more: R, Java, Scala Experience with relational/NoSQL databases (e.g., PostgreSQL, MongoDB) Familiarity with big data tools (Hadoop, Spark, Kafka), cloud platforms (Azure, AWS, GCP), and More ❯

data technologies. Exposure across all the SDLC process, including testing and deployment. Expertise in Microsoft Azure is mandatory including components like Azure Data Factory, Azure Data Lake Storage, Azure SQL, Azure DataBricks, HD Insights, ML Service etc. Good knowledge of Python and Spark are required. Experience in ETL & ELT Good understanding of one scripting language Good understanding of how to … Skills: Data Ops, ML Ops, Deep expertise in Azure Databricks , ETL frameworks. Expertise in Microsoft Azure is mandatory including components like Azure Data Factory, Azure Data Lake Storage, Azure SQL, Azure DataBricks, HD Insights, ML Service etc. Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to More ❯

Strong command of Power Automate, including flow logic, custom connectors, and integration with external services Experience working with REST APIs, OAuth2/Graph authentication, and JSON schema manipulation Advanced SQL capabilities for data modelling, query optimization, and performance tuning Hands-on with Azure Document Intelligence and AI Builder tools Proficient in Power BI, including data modelling, DAX, and deployment pipelines More ❯

productionising and maintaining dbt pipelines. Contribute to a common, reusable data model that serves BI, Data Science, and AI/ML teams alike. Required Skills & Experience: Strong experience with SQL and dimensional modelling in dbt. Proven experience building and maintaining semantic layers in modern data platforms. Familiarity with Medallion architecture, CI/CD processes (GitHub), and version-controlled data workflows. More ❯

Strong command of Power Automate, including flow logic, custom connectors, and integration with external services Experience working with REST APIs, OAuth2/Graph authentication, and JSON schema manipulation Advanced SQL capabilities for data modelling, query optimization, and performance tuning Hands-on with Azure Document Intelligence and AI Builder tools Proficient in Power BI, including data modelling, DAX, and deployment pipelines More ❯

productionising and maintaining dbt pipelines. Contribute to a common, reusable data model that serves BI, Data Science, and AI/ML teams alike. Required Skills & Experience: Strong experience with SQL and dimensional modelling in dbt. Proven experience building and maintaining semantic layers in modern data platforms. Familiarity with Medallion architecture, CI/CD processes (GitHub), and version-controlled data workflows. More ❯

systems and data mining. Knowledge of systems development, including system development life cycle, project management approaches and requirements, design and testing techniques Proficiency in data modeling and design, including SQL development and database administration Ability to implement common data management and reporting technologies, as well as the Columnar and NoSQL databases, data visualization, unstructured data, and predictive analytics. Excellent organizational More ❯

systems and data mining. Knowledge of systems development, including system development life cycle, project management approaches and requirements, design and testing techniques Proficiency in data modeling and design, including SQL development and database administration Ability to implement common data management and reporting technologies, as well as the Columnar and NoSQL databases, data visualization, unstructured data, and predictive analytics. Excellent organizational More ❯

systems and data mining. Knowledge of systems development, including system development life cycle, project management approaches and requirements, design and testing techniques Proficiency in data modeling and design, including SQL development and database administration Ability to implement common data management and reporting technologies, as well as the Columnar and NoSQL databases, data visualization, unstructured data, and predictive analytics. Excellent organizational More ❯