26 to 50 of 3,606 SQL Jobs in London

years of professional experience in data analysis, business intelligence, or a related field. Strong experience with Microsoft Power Platform (PowerBI, Power Automate, Microsoft Copilot). Proficiency in SQL, Python, and advanced data querying techniques. Experience in data modelling and data warehouse concepts. Familiarity with API data integration methods. Excellent analytical and problem-solving skills. Outstanding communication skills, with the ability More ❯

in client-facing consulting roles, delivering complex BI or data projects. Proven success in fostering cross-team collaborations and driving innovative solutions. Experience with Azure data services (e.g., Azure SQL, Synapse, Data Factory, Data Lake) and familiarity with Power Platform integration and Microsoft Fabric. Previous consulting experience in the EMEA region or with global clients is a plus. Technical Skills More ❯

across Africa, Europe, the UK and the US. ABOUT THE ROLE Sand Technologies focuses on cutting-edge cloud-based data projects, leveraging tools such as Databricks, DBT, Docker, Python, SQL, and PySpark to name a few. We work across a variety of data architectures such as Data Mesh, lakehouse, data vault and data warehouses. Our data engineers create pipelines that … practices. Understanding of machine learning workflows and how to support them with robust data pipelines. DESIRABLE LANGUAGES/TOOLS Proficiency in programming languages such as Python, Java, Scala, or SQL for data manipulation and scripting. Strong understanding of data modelling concepts and techniques, including relational and dimensional modelling. Experience in big data technologies and frameworks such as Databricks, Spark, Kafka … such as AWS, Azure, or GCP for deploying and managing data solutions. Strong problem-solving and analytical skills with the ability to diagnose and resolve complex data-related issues. SQL (for database management and querying) Apache Spark (for distributed data processing) Apache Spark Streaming, Kafka or similar (for real-time data streaming) Experience using data tools in at least one More ❯

solutions based on business requirements, adhering to SDLC best practices. BI Solution Development: •Design, develop, test, and deploy end-to-end Business Intelligence solutions using Alteryx for data preparation, SQL for data transformation and storage, Tableau for data visualization, and R/Python for advanced analytics. •Design, implement, and maintain ETL pipelines using Alteryx to extract data from diverse source … and implement complex ETL workflows, and optimize performance. •Data Visualization Proficiency: Proficiency in Tableau Desktop, including the ability to create interactive dashboards, complex calculations, custom visualizations, and performance optimization. •SQL Development Skills: Mastery of SQL, including the ability to write complex queries, stored procedures, views and perform query optimization. •Programming/Statistical Analysis Skills: Working knowledge of R or Python More ❯

of Excel or Tableau (data manipulation, macros, charts and pivot tables), - Knowledge of data visualization tools such as Quick Sight, Tableau, Power BI or other BI packages - Fluency in SQL and ETL PREFERRED QUALIFICATIONS - Knowledge of data modeling and data pipeline design - Masters degree in Business, Engineering, Statistics, Computer Science, Data Science, Mathematics or related field - Experience with at least 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 ❯

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 ❯

teams throughout development. Support testing, reconciliation, and integration verification activities. Core skills and experience: Proven experience designing scalable data architectures in cloud and hybrid environments. Expertise in data modelling, SQL, and platforms like Snowflake, dbt, Power BI, and Databricks. Fluency in Python and knowledge of multiple cloud providers (AWS, Azure, GCP). Understanding of security principles including role-based access More ❯

London Market PAS platforms (e.g., OpenTWINS, DXC Assure, Sequel, IRIS). Knowledge of BI/MI tooling (e.g., Power BI, Tableau, Qlik). Familiarity with data warehouse technologies (e.g., SQL, Snowflake, Azure, Informatica, etc.). Exposure to Agile delivery and use of tools such as Jira or Azure DevOps. More ❯

technology and systems initiatives, including automation, data integrity and data integration. Create, implement, and support credit risk quantitative models leveraging mathematical and computer science methods and tools including Python , SQL, PowerBI, mathematical finance, and statistics and probability Maintain clear and coherent communication, both verbal and written, to understand data needs and communicate report results. Remain up to date with the … in financial risk management in a quantitative role. Knowledge of exposure modelling, Probability of Default (PD)/Loss Given Default (LGD)/Exposure at Default (EAD) Experience in Python, SQL, PowerBI Effective listening skills in order to understand business requirements. Team-working skills and a collaborative approach to sharing ideas and finding solutions. Drive and resilience to try new ideas … Solving, Internal control and compliance, Market Knowledge, Market Risk, Market Risk Analysis, Market Risk Management, Microsoft Power Business Intelligence (BI) Data Visualization, Python (Programming Language), Quantitative Data, Quantitative Reports, SQL Coding, Stakeholder Management, Statistical Reporting {+ 4 more} Legal Disclaimer: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of More ❯

technology and systems initiatives, including automation, data integrity and data integration. Create, implement, and support credit risk quantitative models leveraging mathematical and computer science methods and tools including Python , SQL, PowerBI, mathematical finance, and statistics and probability Maintain clear and coherent communication, both verbal and written, to understand data needs and communicate report results. Remain up to date with the … in financial risk management in a quantitative role. Knowledge of exposure modelling, Probability of Default (PD)/Loss Given Default (LGD)/Exposure at Default (EAD) Experience in Python, SQL, PowerBI Effective listening skills in order to understand business requirements. Team-working skills and a collaborative approach to sharing ideas and finding solutions. Drive and resilience to try new ideas … Solving, Internal control and compliance, Market Knowledge, Market Risk, Market Risk Analysis, Market Risk Management, Microsoft Power Business Intelligence (BI) Data Visualization, Python (Programming Language), Quantitative Data, Quantitative Reports, SQL Coding, Stakeholder Management, Statistical Reporting {+ 4 more} Legal Disclaimer: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of More ❯

technology and systems initiatives, including automation, data integrity and data integration. Create, implement, and support credit risk quantitative models leveraging mathematical and computer science methods and tools including Python , SQL, PowerBI, mathematical finance, and statistics and probability Maintain clear and coherent communication, both verbal and written, to understand data needs and communicate report results. Remain up to date with the … in financial risk management in a quantitative role. Knowledge of exposure modelling, Probability of Default (PD)/Loss Given Default (LGD)/Exposure at Default (EAD) Experience in Python, SQL, PowerBI Effective listening skills in order to understand business requirements. Team-working skills and a collaborative approach to sharing ideas and finding solutions. Drive and resilience to try new ideas … Solving, Internal control and compliance, Market Knowledge, Market Risk, Market Risk Analysis, Market Risk Management, Microsoft Power Business Intelligence (BI) Data Visualization, Python (Programming Language), Quantitative Data, Quantitative Reports, SQL Coding, Stakeholder Management, Statistical Reporting {+ 4 more} Legal Disclaimer: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of More ❯

technology and systems initiatives, including automation, data integrity and data integration. Create, implement, and support credit risk quantitative models leveraging mathematical and computer science methods and tools including Python , SQL, PowerBI, mathematical finance, and statistics and probability Maintain clear and coherent communication, both verbal and written, to understand data needs and communicate report results. Remain up to date with the … in financial risk management in a quantitative role. Knowledge of exposure modelling, Probability of Default (PD)/Loss Given Default (LGD)/Exposure at Default (EAD) Experience in Python, SQL, PowerBI Effective listening skills in order to understand business requirements. Team-working skills and a collaborative approach to sharing ideas and finding solutions. Drive and resilience to try new ideas … Solving, Internal control and compliance, Market Knowledge, Market Risk, Market Risk Analysis, Market Risk Management, Microsoft Power Business Intelligence (BI) Data Visualization, Python (Programming Language), Quantitative Data, Quantitative Reports, SQL Coding, Stakeholder Management, Statistical Reporting {+ 4 more} Legal Disclaimer: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of More ❯

across Africa, Europe, the UK and the US. ABOUT THE ROLE Sand Technologies focuses on cutting-edge cloud-based data projects, leveraging tools such as Databricks, DBT, Docker, Python, SQL, and PySpark to name a few. We work across a variety of data architectures such as Data Mesh, lakehouse, data vault and data warehouses. Our data engineers create pipelines that … scalable, robust code using python or similar programming languages. Background in software engineering a plus. DESIRABLE LANGUAGES/TOOLS Proficiency in programming languages such as Python, Java, Scala, or SQL for data manipulation and scripting. Strong understanding of data modelling concepts and techniques, including relational and dimensional modelling. Experience in big data technologies and frameworks such as Databricks, Spark, Kafka … such as AWS, Azure, or GCP for deploying and managing data solutions. Strong problem-solving and analytical skills with the ability to diagnose and resolve complex data-related issues. SQL (for database management and querying) Apache Spark (for distributed data processing) Apache Spark Streaming, Kafka or similar (for real-time data streaming) Experience using data tools in at least one More ❯

retention metrics to provide actionable insights that support product and service improvements. Requirements Essential Qualifications & Skills: 2+ years of experience in data analysis or a similar role. Proficiency in SQL and a programming language such as Python or R. Experience in user analytics, including tracking, analysing, and interpreting user behaviour data. Understanding of API data consumption and integration. Strong problem More ❯

or certification on data engineering concepts and applied experience Recent hands-on professional experience in a reporting, data analysis or business intelligence role Experience in database querying techniques and SQL Understanding of how to manage and optimize queries for large volumes of data within different kinds of data stores (including relational data stores) Experience in designing and implementing effective tests More ❯

modern data engineering and reporting. Including storage, data pipelines to ingest and transform data, and querying & reporting of analytical data. You've worked with technologies such as Python, Spark, SQL, Pyspark, PowerBI etc. You're a problem-solver, pragmatically exploring options and finding effective solutions. An understanding of how to design and build well-structured, maintainable systems. Strong communication skills More ❯

The Successful Applicant 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 ❯

as a means to solve challenges. Proficiency in a programming language (e.g., Scala, Python, Java, C#) with understanding of domain modelling and application development. Knowledge of data management platforms (SQL, NoSQL, Spark/Databricks). Experience with modern engineering tools (Git, CI/CD), cloud platforms (Azure, AWS), and Infrastructure as Code (Terraform, Pulumi). Familiarity with various frameworks across More ❯

of modern data modelling practices, analytics tooling, and interactive dashboard development in Power BI and Plotly/Dash. Key responsibilities: Designing and maintaining robust data transformation pipelines (ELT) using SQL, Apache Airflow, or similar tools. Building and optimizing data models that power dashboards and analytical tools Developing clear, insightful, and interactive dashboards and reports using Power BI and Plotly/… data modeling techniques (e.g. dimensional, star/snowflake schemas) and analytics layer design to support business intelligence and self-serve reporting. Proficiency in analytics engineering tools such as airflow, SQL, and version control systems like Git. Hands-on experience developing dashboards and reports using Power BI, Plotly/Dash, or other modern visualisation tools. Strong understanding of data governance, quality … AWS, Azure, or GCP, and working with data warehouse/lakehouse technologies such as Snowflake, BigQuery, Redshift, or Athena/Glue. Essential: Proficient in writing clean, efficient, and maintainable SQL and Python code, particularly for data transformation and analytics use cases. Strong understanding of data modeling concepts, including star/snowflake schemas and designing models optimized for reporting and dashboarding. More ❯