1 to 25 of 984 SQL Jobs in the City of London

support data pipelines to ingest, transform and manage data in the data lake and warehouse. Design and deliver insightful MI and BI reports from a variety of sources including SQL databases and Excel. Translate business needs into technical reporting requirements, liaising with users to resolve data queries. Manage and maintain ETL processes and troubleshoot data issues, including log analysis and … and automated), extend wiki documentation, and contribute to ongoing development projects. Requirements Experience working within data engineering or analytics in a financial or regulated business environment. Proficiency in Microsoft SQL Server, Azure SQL, SSIS or Azure Data Factory. Strong skills in Excel and Power Query; experience developing reports in Power BI desirable. Knowledge of programming (e.g., C# .NET, PowerShell, Python More ❯

collaborative development experience. Key Responsibilities Lead full stack development for a data analytics platform. Design and integrate RESTful APIs and optimize overall application performance. Manage and query databases using SQL and related tools. Collaborate in an Agile team environment with clear documentation and iterative development. Implement DevOps and security best practices for cloud application development. Apply UX/UI principles … interactive dashboards using Power BI. Required Skills & Experience Cloud Certification: AWS, Azure, or Google Cloud (with hands-on experience in developing cloud applications). Technical Skills: C#, JavaScript, Node.js SQL & Database Management API Development (RESTful) Version Control (Git) CI/CD Pipelines Testing Frameworks Platform Experience: Power Apps Power Automate Azure Functions Apigee Proxy SharePoint Online UI/UX & Data More ❯

for cleaning, enriching, and aggregating data. Ensure data consistency and accuracy throughout the data lifecycle. Azure Databricks Implementation: Work extensively with Azure Databricks Unity Catalog, including Delta Lake, Spark SQL, and other relevant services. Implement best practices for Databricks development and deployment. Optimise Databricks workloads for performance and cost. Need to program using the languages such as SQL, Python, R … Scala. Deep understanding of data warehousing principles, data modelling techniques, and data integration patterns. Extensive experience with Azure data services, including Azure Data Factory, Azure Blob Storage, and Azure SQL Database. Experience working with large datasets and complex data pipelines. Experience with data architecture design and data pipeline optimization. Proven expertise with Databricks, including hands-on implementation experience and certifications. … Experience with SQL and NoSQL databases. Experience with data quality and data governance processes. Experience with version control systems (e.g., Git). Experience with Agile development methodologies. Excellent communication, interpersonal, and problem-solving skills. Experience with streaming data technologies (e.g., Kafka, Azure Event Hubs). Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with DevOps tools and More ❯

to the company’s success. There are opportunities for professional development, such as training programs, certifications, and career advancement paths. KEY RESPONSIBILITIES Design, develop, and maintain scalable data pipelines SQL, Azure ADF, Azure Functions, DBT Collaborate with analysts and stakeholders to understand their data needs, scoping and implementing solutions Optimising and cleaning of data warehouse, cleaning existing codebase and creating … documentation. Monitor and troubleshoot data pipeline issues Provide technical support and guidance to junior team members Provide ongoing support for business applications. Provide help with data analysis using SQL, Qube, Tableau, Hubspot and excel. Perform systems analysis, business process analysis and design. Project Management, developing project plans, and monitoring performance. Monitoring deliverables and ensuring timely completion of projects. Research and More ❯

Engineering Lead, actively participating in team discussions and sharing ideas to improve platform excellence. What are we looking for? Great experience as a Senior Data Engineer. Experience with PySpark, SQL and Databricks. Proficiency in working with the cloud environment and various platforms, including Azure, SQL Server. NoSQL databases is good to have. Hands-on experience with data pipeline development, ETL 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 ❯

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 ❯

tools like Great Expectations or Soda to ensure the accuracy, reliability, and integrity of data throughout its lifecycle. Create & maintain data pipelines using Airflow & Snowflake as primary tools Create SQL Stored procs to perform complex transformation Understand data requirements and design optimal pipelines to fulfil the use-cases Creating logical & physical data models to ensure data integrity is maintained CI … Actions Tuning and optimizing data processes Qualifications Required Qualifications: · Bachelor's degree in Computer Science or a related field. · Proven hands-on experience as a Data Engineer. · Proficiency in SQL (any flavor), with experience using Window functions and advanced features. · Excellent communication skills. · Strong knowledge of Python. · Familiarity with Azure Services such as Blobs, Functions, Azure Data Factory, Service Principal … using Git and Git Actions. · Knowledge of various data modeling techniques, including Star Schema, Dimensional models, and Data Vault. · Hands-on experience with: · Developing data pipelines (Snowflake), writing complex SQL queries. · Building ETL/ELT/data pipelines. · Kubernetes and Linux containers (e.g., Docker). · Related/complementary open-source software platforms and languages (e.g., Scala, Python, Java, Linux). More ❯

Business Intelligence Engineer Hybrid – London Up to £450 a day Inside IR35 6 Months Key Skills: Business Intelligence (Data modelling, data warehousing, Dashboarding) SQL & Python AWS (S3, Lambda, Glue, Redshift) The Senior Business Intelligence Engineer occupies a unique role at the intersection of technology, marketing, finance, statistics, data mining, and social science. We provide the key insight into customer behavior … downstream consumption - Work with customers to build Dashboards with the right KPIs, Metrics for decision making - Data Quality checks, ETL/ELT processes, automation Technical Requirements: - Strong proficiency in SQL and Python programming - Extensive experience with data modeling and data warehouse concepts - Advanced knowledge of AWS data services, including: S3, Redshift, AWS Glue, AWS Lambda - Experience with Infrastructure as Code 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 … profile Essential Criteria 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 ❯

reporting Ensure data quality, compliance, and adherence to governance standards 🧠 What You Bring: 5+ years of experience in data analytics or reporting Strong skills in Power BI or Tableau, SQL, and Python Experience with cloud platforms (Azure preferred), Alteryx, and Snowflake Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field Detail-oriented with excellent analytical and More ❯

BI dashboards and reporting solutions. Assist with modernising and automating legacy processes. Play a key role in the design, testing, and deployment of new data solutions. Technology Stack: Azure SQL, SSIS, Power BI, PowerShell C# (used for testing automation) Excel/Power Query CI/CD tooling What We’re Looking For: A hands-on data engineer or BI engineer … with solid SQL skills and experience in building or maintaining ETL processes. Someone who thrives in a fast-paced, high-accountability environment with direct access to stakeholders. Experience working in a financial, regulated, or data-critical environment preferred — though not essential. A collaborative mindset, strong communication skills, and genuine enthusiasm for data. This is an ideal role for someone who More ❯

manual and automated testing for new data solutions Engaging directly with stakeholders to gather reporting requirements and resolve ad-hoc data queries Key skills & experience include: Strong experience in SQL Server/Azure SQL Proficiency in ETL processes and Microsoft SSIS or Azure Data Factory Experience working with Microsoft Excel and Power Query Knowledge of Power BI and DAX for More ❯

and grow your skillset. Qualification : BSc or MSc degree in Computer Science, Data Science or a related technical field Python or Javascript development experience(C# Experience is a plus) SQL experience (No-SQL experience is a plus) Experience : 3+ years Experience in Data Engineering Strong Data Engineer Language Skills (Python, SQL, Javascript) Experience of Azure, AWS or GCP cloud platforms 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 ❯

skilled and detail-oriented QA Tester with hands-on experience in ETL testing (Informatica or Microsoft Fabric) and a strong understanding of Azure Data Engineering tools such as Azure SQL Database , Azure Blob Storage , and Azure Data Factory . The ideal candidate will possess good hands-on knowledge of writing and executing SQL queries to validate data across systems. Experience … PowerCenter or IICS . Validate data ingestion , transformation , and loading processes across Azure services. Execute source-to-target data validation , data profiling, and data reconciliation. Write and execute complex SQL queries to validate data transformations, aggregations, and business rules in Azure SQL Database and other relational platforms. Test data flows and integrations involving: Azure Data Factory (ADF) Azure Blob Storage … Azure SQL Database Analyze data mapping specifications and support data quality and audit initiatives. Log, track, and retest defects using tools like JIRA or Azure DevOps . Collaborate closely with developers, data engineers, and business analysts. Contribute to daily Agile ceremonies and maintain clear and detailed QA documentation. Required Skills & Experience: 3–7 years of software testing experience, with at More ❯

a robust Microsoft Azure environment. The successful candidate will play a crucial part in the development and maintenance of the application's back-end, utilizing C# .NET and Azure SQL databases. Responsibilities: Actively participate in product requirement discussions, providing accurate work estimates. Collaborate with the Engineering Manager, Infrastructure Engineer, and wider team on architectural and design decisions. Develop and implement … C# .NET back-end functions to support front-end functionality. Design and maintain Azure SQL database tables to ensure data integrity and efficiency. Implement comprehensive automated unit, integration, and acceptance tests. Maintain and update the Azure DevOps CI/CD pipeline for seamless build, test, and deployment processes. Create and maintain detailed documentation for the web application's development setup … a lead developer. Extensive experience with C# .NET, adhering to best practices in design, implementation, and testing. Solid background in building and supporting REST APIs. Proficient in working with SQL Server/Azure SQL databases. Demonstrated experience in building and maintaining application code CI/CD pipelines. Hands-on experience deploying and running .NET applications and services within Microsoft Azure More ❯

matter expert for data stakeholders. Maintain and update reports, continuously seeking improvements to enhance their effectiveness. Automate reports and conduct ad-hoc data analysis to support business needs. Write SQL queries to extract data from core system databases based on departmental requirements. Support Change Projects from a data and reporting perspective, enhancing the bank’s reporting platform and data integrity. … matter expert for data stakeholders. Maintain and update reports, continuously seeking improvements to enhance their effectiveness. Automate reports and conduct ad-hoc data analysis to support business needs. Write SQL queries to extract data from core system databases based on departmental requirements. Support Change Projects from a data and reporting perspective, enhancing the bank’s reporting platform and data integrity. … and attention to detail. Qualifications Bachelor’s degree in a numeric, scientific, or finance-related field. Extensive experience in business intelligence, data analytics, or management information roles. Proficient in SQL, with expertise in querying large database systems and developing robust code. Advanced Tableau skills, capable of creating engaging and value-adding dashboards, analytics, and reports. Expert-level Excel knowledge for More ❯

for software quality, security, and data governance. Required Skills & Qualifications: 5+ years of hands-on development experience with Endur (Openlink) . Strong proficiency in: JVS/AVS/OpenComponents SQL/PL-SQL Endur data model and trade lifecycle Experience with end-to-end trade processing , including confirmation, settlement, risk, and PnL. Familiarity with energy/commodity trading products (Power More ❯

and ensuring project alignment with organisational goals and standards. What do I need to apply for the role Expert use of Fabric, Azure Data Factory, Azure Synapse. Expertise in SQL and Python. Experience working with relational SQL databases either on premises or in the cloud. Power platform experience is desirable. Experience delivering multiple solutions using key techniques such as Governance More ❯

within ERP systems as part of transformation and integration projects 🧠 What You Bring: 5+ years of experience in data analytics or reporting Strong skills in Power BI or Tableau, SQL, and Python Experience with cloud platforms (Azure preferred), Alteryx, and Snowflake Hands-on experience with data migration and integration across ERP platforms Essential Bachelor’s degree in Data Science, Computer More ❯

downstream consumption - Work with customers to build Dashboards with the right KPIs, Metrics for decision making - Data Quality checks, ETL/ELT processes, automation Technical Requirements: - Strong proficiency in SQL and Python programming - Extensive experience with data modeling and data warehouse concepts - Advanced knowledge of AWS data services, including: S3, Redshift, AWS Glue, AWS Lambda - Experience with Infrastructure as Code More ❯

related discipline. - 4–5 years of experience in data analysis, preferably in financial services or private credit/asset management. - Strong Excel, Power BI and PowerPoint skills. - Familiarity with SQL, Python, or other relevant programming languages is highly desirable. - Experience working with large data sets and enterprise data systems. - Strong attention to detail and a commitment to high-quality output. More ❯

stakeholder management skills. Expertise in enterprise-grade data warehouses (Snowflake, BigQuery, Redshift). Hands-on experience with Apache Airflow (or similar orchestration tools). Strong proficiency in Python and SQL for pipeline development. Deep understanding of data architecture, dimensional modelling, and metadata management. Experience with cloud platforms (AWS, GCP, or Azure). Familiarity with version control, CI/CD , and More ❯