76 to 100 of 6,757 SQL Jobs in London

and principles. Solid understanding of data warehousing data modeling and data integration principles. Proficiency in at least one scripting/programming language (e.g. Python Scala Java). Experience with SQL and NoSQL databases. Familiarity with data quality and data governance best practices. Strong analytical and problem-solving skills. Excellent communication interpersonal and presentation skills. Desired Skills: Experience with containerization technologies More ❯

professionals. Using a wide range of cutting-edge technology to innovate while testing. An ever-challenging environment to hone your existing skills in Automation, performance, UI, service layer testing, SQL scripting etc. A great opportunity to think and execute like a developer while performing the role of QA. Being a part of an organization which values 'Culture of Urgency' and … Knowledge of OData and SOAP preferred. Experience creating/maintaining automation frameworks preferred. Experience of DevOps pipeline in containerized environment using Azure DevOps/Jenkins preferred. Expertise using complex SQL to query databases required. Expertise with DB process, data validation, transformation logics, and data migration. Knowledge of file storage in S3, data validation with clob, blob, and messaging system kafka More ❯

and principles. Solid understanding of data warehousing data modeling and data integration principles. Proficiency in at least one scripting/programming language (e.g. Python Scala Java). Experience with SQL and NoSQL databases. Familiarity with data quality and data governance best practices. Strong analytical and problem-solving skills. Excellent communication interpersonal and presentation skills. Desired Skills: Experience with containerization technologies More ❯

may have. Profile Business Data Analyst - Migration Skills And Experience Proven experience in data migration or data transfer/transition projects, preferably within financial services or regulated industries. Strong SQL skills for data querying, validation, and reconciliation. Experience with ETL tools and data transformation techniques. Solid understanding of data modelling, data structures, and relational databases. Proficiency in BI/reporting More ❯

Angular, React, HTML5, XML & CSS Develop design and architecture exposure and ability to ensure quality across various technology components that are developed by geographically diversified software engineer. Experience writing SQL queries and understanding of data models. Experience in designing and implementing REST APIs & micro services-based solutions. Should have experience writing unit/integration tests. Proficient with software development lifecycle More ❯

Join to apply for the Software Engineer role at Altrata . Overview The Data Software Engineer will develop and maintain ETL solutions using SQL Server, .NET, and Databricks. The role involves designing clean, decoupled solutions in collaboration with architects, creating automated tests for continuous delivery, and engaging in peer code reviews. The candidate will work closely with Business Analysts, QA … involvement in DevOps processes. Responsibilities Design, develop, and maintain data pipelines and ETL processes. Collaborate with cross-functional teams to understand data requirements and deliver solutions. Optimize and troubleshoot SQL queries and C#/.NET applications. Implement data integration solutions using various ETL tools. Adhere to development standards and participate in continuous improvement efforts. Work with big data technologies such … end Engineering Teams Architects CloudOps Knowledge, Experience, and Skills Degree in computer science or related field, or equivalent experience. Proven experience as a Data Software Engineer. Strong proficiency in SQL and C#/.NET. Experience with OO and functional programming, design patterns, SOLID principles. Hands-on experience with ETL implementations. Knowledge of Python, PySpark, and Databricks is a plus. Experience More ❯

ongoing analytical support. Basic Qualifications Bachelor's degree or higher in a quantitative/technical field (e.g., Computer Science, Statistics, Engineering). 2+ years of hands-on experience writing SQL queries. Experience with building and maintaining basic data artifacts (e.g., ETL, data models, queries). Experience with AWS services including S3, Redshift, EMR, Kinesis, and RDS. Experience in working and … visualization tools (e.g., Tableau, Quicksight, PowerBI) and statistical methods (e.g., t-test, Chi-squared). 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL, etc. Proficiency with SQL and scripting (Python) for data processing and modeling. Knowledge of data warehousing concepts. Preferred Qualifications Inquisitive mindset with proven problem-solving ability and passion for big data. Experience with building … Experience with building and operating highly available, distributed data systems. Proficiency with regression, classification, and cluster analysis approaches. Experience with data visualization/reporting software (e.g., Tableau). Advanced SQL, data mining skills, and analytical tools (e.g., R, Python, SAS). About the team Amazon IES Shopping experience team owns the charter for defining the shopping experience across key country More ❯

future growth. This is a fantastic opportunity to apply your expertise, stay ahead of emerging technologies, and make a real impact across multiple organisations! Requirements Excellent scripting skills including SQL and Python Enterprise data modelling experience using tools such as ERwin or Power Designer Experience with data ingestion (both batch and streaming), CI/CD tooling (e.g. Azure DevOps, Terraform … etc.) and interrogation with databases such as SQL Server, Oracle, Redshift etc. Experience developing solutions on any major cloud platform: Azure, AWS or GCP Experience with reporting tools such as Power BI, Tableau, Qlik etc. Excellent communication skills with a passion for problem-solving with technology Experience in Financial Services would be beneficial for some major clients, but not essential More ❯

investment banking priorities, regulatory requirements, and data governance frameworks. Act as the technical authority for reporting solutions, providing hands-on guidance in BI tools (e.g., Power BI, Tableau) and SQL-based data modelling. Collaborate with senior stakeholders across trading, risk, finance, and compliance to translate business needs into scalable reporting solutions. Delivery Management - Lead the end-to-end delivery of … capital markets. Proven track record of delivering regulatory and operational reporting solutions in a complex, high-volume environment. Deep expertise in BI tools (Power BI, Tableau, Qlik) and strong SQL/data modelling skills. Solid understanding of investment banking products (e.g., derivatives, fixed income, equities) and trade lifecycle. Experience with cloud-based data platforms (Azure, AWS) and modern data architectures. …/visualisation platforms and the managing of confidential/sensitive data/reporting. Extensive experience in database management systems for modelling and extraction of data for reporting purposes (e.g., SQL, NoSQL). Exceptional communication skills to explain and gain buy in for standards and designs from other analyst developers in the team and other stakeholders. Collaborative and curious practices to More ❯

investment banking priorities, regulatory requirements, and data governance frameworks. Act as the technical authority for reporting solutions, providing hands-on guidance in BI tools (e.g., Power BI, Tableau) and SQL-based data modelling. Collaborate with senior stakeholders across trading, risk, finance, and compliance to translate business needs into scalable reporting solutions. Delivery Management - Lead the end-to-end delivery of … capital markets. Proven track record of delivering regulatory and operational reporting solutions in a complex, high-volume environment. Deep expertise in BI tools (Power BI, Tableau, Qlik) and strong SQL/data modelling skills. Solid understanding of investment banking products (e.g., derivatives, fixed income, equities) and trade lifecycle. Experience with cloud-based data platforms (Azure, AWS) and modern data architectures. …/visualisation platforms and the managing of confidential/sensitive data/reporting. Extensive experience in database management systems for modelling and extraction of data for reporting purposes (e.g., SQL, NoSQL). Exceptional communication skills to explain and gain buy in for standards and designs from other analyst developers in the team and other stakeholders. Collaborative and curious practices to More ❯

investment banking priorities, regulatory requirements, and data governance frameworks. Act as the technical authority for reporting solutions, providing hands-on guidance in BI tools (e.g., Power BI, Tableau) and SQL-based data modelling. Collaborate with senior stakeholders across trading, risk, finance, and compliance to translate business needs into scalable reporting solutions. Delivery Management - Lead the end-to-end delivery of … capital markets. Proven track record of delivering regulatory and operational reporting solutions in a complex, high-volume environment. Deep expertise in BI tools (Power BI, Tableau, Qlik) and strong SQL/data modelling skills. Solid understanding of investment banking products (e.g., derivatives, fixed income, equities) and trade lifecycle. Experience with cloud-based data platforms (Azure, AWS) and modern data architectures. …/visualisation platforms and the managing of confidential/sensitive data/reporting. Extensive experience in database management systems for modelling and extraction of data for reporting purposes (e.g., SQL, NoSQL). Exceptional communication skills to explain and gain buy in for standards and designs from other analyst developers in the team and other stakeholders. Collaborative and curious practices to More ❯

and inquisitive mind, and an openness to new ideas; Professional integrity and a respect for company values. Other requirements Essential Proven experience working in Data Engineering. Proven experience with SQL, SSIS and SSAS. Proven experience with data modelling. Ability to create a strong relationship with stakeholders. Excellent communication skills with the ability to collaborate effectively with cross-functional teams. Self … locations. Proven experience with understanding business requirements and translating these into technical deliverables. Motivated to expand technical skills. Desirable Experience with Microsoft BI Tools such as Power BI, SSRS & SQL Server. Experience with Azure Data Factory and Databricks (Python). Experience working with DevOps, IaC & CI/CD pipelines (e.g. Terraform and Databricks Asset Bundles). More ❯

and inquisitive mind, and an openness to new ideas; Professional integrity and a respect for company values. Other requirements Essential Proven experience working in Data Engineering. Proven experience with SQL, SSIS and SSAS. Proven experience with data modelling. Ability to create a strong relationship with stakeholders. Excellent communication skills with the ability to collaborate effectively with cross-functional teams. Self … locations. Proven experience with understanding business requirements and translating these into technical deliverables. Motivated to expand technical skills. Desirable Experience with Microsoft BI Tools such as Power BI, SSRS & SQL Server. Experience with Azure Data Factory and Databricks (Python). Experience working with DevOps, IaC & CI/CD pipelines (e.g. Terraform and Databricks Asset Bundles). More ❯

knowledge and experience of designing, building, optimising, deploying and managing business-critical machine learning models using Azure ML in Production environments. You must have good technical knowledge of Phyton, SQL, CI/CD and familiar with Power BI. A FTSE 250 company, they combine expertise and insight with advanced technology and analytics to address the needs of over … stakeholders. Your profile Previous experience in designing, building, optimising, deploying and managing business-critical machine learning models using Azure ML in Production environments. Experience in data wrangling using Python, SQL and ADF. Experience in CI/CD and DevOps/MLOps and version control. Familiarity with data visualization and reporting tools, ideally PowerBI. Good written and verbal communication and interpersonal More ❯

major technology frameworks: NET (C#, ASP.NET Core, .NET Framework) JavaScript/TypeScript (Node.js, React, Angular, Vue.js) Java (Spring Framework, Spring Boot, Enterprise Java) Database systems experience across both: RDBMS : SQL Server, PostgreSQL, MySQL, Oracle NoSQL : MongoDB, Cassandra, DynamoDB, CosmosDB VectorDB (preferered but not mandatory): PGVector, Chroma, Pinecone) Cloud platform experience with either: AWS : EC2, Lambda, RDS, IAM, S3, API Gateway … CloudFormation Azure : App Service, Functions, SQL Database, Cosmos DB, Storage, ARM Templates AI & Productivity Tools Demonstrable experience using AI tools for software development productivity, including: Code generation and completion (GitHub Copilot, ChatGPT, Claude, etc.) Automated testing and documentation Code review and refactoring assistance Architecture design and planning Ability to train and mentor others on AI-enhanced development practices Soft Skills More ❯

reliable billing architecture within an event driven environment. Data Products: Design, develop, and maintain APIs that deliver a seamless data experience for our customers. Database Management: Work with both SQL and NoSQL databases, optimizing schema designs and queries to support high-volume data transactions. Collaborative Problem-Solving: Work closely with BI, infrastructure teams, product managers, and cross-functional teams to … 5+ years of hands-on Java development experience in a data-intensive environment. Proven experience building and maintaining data pipelines and APIs. Strong background in database management, including both SQL/NoSQL databases. Experience designing, implementing, and optimizing ETL/ELT processes for high-volume data environments (millions of requests per day). Demonstrated expertise in data modeling and schema More ❯

Data Science, Computer Science, Information Systems, or other equivalent. Experienced in data analysis, BI, or a related area. Familiarity with BI tools (e.g., Tableau, Power BI, Looker) and basic SQL for data querying. Proficiency in Microsoft Excel for data manipulation and reporting. Solid ability to analyse and interpret data, with keen attention to detail. Basic experience with data modelling. Exposure More ❯

Data Quality, Data Integration, Data Analytics, Data Visualisation, Data Science, and Business Intelligence. Delivery experience using SAS technologies (SAS EG, SAS DI, SAS Viya). Ability to write complex SQL queries. Project experience with technologies like Tableau, Python, Power BI, Cloud platforms (Azure, AWS, GCP, Snowflake, Databricks). Experience leading end-to-end projects and familiarity with methodologies like Agile More ❯

climate risk. Views on industry evolution and technology's future role. Technical skills Experience with large-scale delivery, agile, DevOps, waterfall, and tools like JIRA, Pivotal, Confluence. Engineering skills: SQL, Python, Java, Scala, XML/FpML, Power BI. Solution and data architecture, AI, integration, testing, automation, cloud technologies, security, and emerging tech awareness. Experience with vendor packages and AI/ More ❯

Data Analytics, Data Visualisation, Data Science and Business Intelligence. Delivery experience using the following core technology: SAS (SAS EG, SAS DI, SAS Viya). An ability to write complex SQL queries. Project experience using one or more of the following technologies: Tableau, Python, Power BI, Cloud (Azure, AWS, GCP, Snowflake, Databricks). Project lifecycle experience, having played a leading role More ❯

Strong background in hedge fund, asset management, or financial markets Solid DevOps skills: CI/CD, containerisation, source control (e.g. Git) ETL experience with financial data (including tick data) SQL and database systems knowledge Familiarity with cloud (Azure ideal, others acceptable) Excellent communication skills - confident with stakeholders and leadership What You'll Get A direct impact on trading and investment More ❯

Experience with Test Driven Development Front-end development skills with JavaScript, HTML, CSS, Vue.js Familiarity with CI/CD tools such as Jenkins, Git, and Jira Strong knowledge of SQL-based RDBMS (e.g., MSSQL) Strong organisational skills and the ability to manage multiple tasks Excellent communication and problem-solving skills Detail-oriented, proactive, and committed to delivering high-quality code More ❯

not essential: Experience with R and/or Python, data visualisation tools such as Power Bi. Desirable but not essential: experience in Alteryx, Microsoft Azure, databases and querying using SQL, AI, tool development and the Microsoft Power Platform. Inclusion and Diversity At Forvis Mazars, inclusion and diversity are central to our values. We recognise that being an inclusive and diverse More ❯

role. Strong programming skills in .NET (C#) is essential, VBA/Python knowledge is valuable, additional languages such as Java would be beneficial. Strong understanding of relational databases (MS Sql/Oracle). Experience in frontend JavaScript frameworks like React, Angular or Node. Experience within Asset Management/Investment Banking is essential. Strong passive investment related product knowledge with exposure More ❯

and Snowflake platforms Data modeling and design Data lineage and governance tools ETL/ELT processes Big data and analytics platforms Financial risk systems and methodologies Programming knowledge (Python, SQL, etc.) DevOps and CI/CD principles Knowledge graph and semantic web technologies Machine learning operations (MLOps) AI-focused data catalog tools Schema registry and metadata management systems Feature store More ❯