1 to 25 of 31 Contract SQL Jobs in Central London

internal knowledge repositories Essential Skills Strong experience developing within Microsoft Azure and Microsoft Fabric: Proficiency in Spark programming including DataFrames, RDDs, and Spark SQL Python and PySpark development experience, including notebook-based workflows Hands-on experience with Spark streaming and batch processing Delta table optimisation and Fabric Spark job development

Engineering or BI Developer Strong understanding of front-office trading , risk , or market data (not back-office finance or regulatory reporting). Proficiency in SQL and at least one programming language (e.g., Python, Scala). Experience with BI tools such as Power BI, Tableau, or Qlik. Familiarity with cloud platforms

traditional NLP techniques. Data & Visualisation Solid grasp of data visualisation tools (Tableau, Power BI, Cognos, etc.) Proficiency in Python visualisation libraries (Matplotlib, Seaborn.) SQL for data extraction and manipulation. Experience working with large datasets. Technical Skills Proficiency in cloud computing and python programming. Familiarity with Python libraries like Pandas, NumPy

languages such as C++, Java, or C#. Proficiency with TypeScript, Node.js, and modern JavaScript frameworks for UI development. Strong hands-on experience with Python, SQL, and AI/ML frameworks (e.g., TensorFlow, PyTorch), particularly within financial workflows. To apply for this role please submit your CV or contact Dillon Blackburn

Design, Test Execution, Test Closure) throughout the project lifecycle) Experience with CI/CD tools such as Azure Pipelines and Octopus Knowledge of SQL and NoSQL databases such as cosmos db. Extensive experience of API testing, REST & SOAP Mobile Testing experience would be an additional benefit

robust CI/CD through Azure DevOps. This position offers genuine impact in a regulated, high-velocity technology environment. Key Skills: Azure Cosmos DB (SQL/Mongo API), NoSQL modelling C#/.NET or Node.js Azure Functions, App Services, AKS, Logic Apps CI/CD with Azure DevOps Performance optimisation

quality issues. Skills & Experience: * Minimum 1 year in L&D/people data analytics. * Advanced Excel and Power BI skills; familiarity with Cornerstone, Workday, SQL, and Power Automate desirable. * Strong analytical, organisational, and communication skills. * Ability to manage multiple priorities and present data effectively. In accordance with the Employment Agencies

Lead when required. Required Skills & Experience: 5+ years of Murex development experience, ideally within FX or derivatives clearing. Proficiency in Murex MXML, Datamart, Oracle SQL, Unix scripting. Experience with Control-M, Jenkins, GitHub/Bitbucket, and CI/CD pipelines. Strong understanding of FX, derivatives, and margining concepts. Familiarity with

Collaborate with cross-functional teams for safe AI adoption. Qualifications Degree in Computer Science, Data Science, Finance, or related field. Strong programming skills (Python, SQL, C++, Java, etc.). Experience with AI/ML frameworks (TensorFlow, PyTorch). Minimum 4+ years in AI roles within finance or consulting. Knowledge

look out for a Senior Data Engineer who has experience in: AWS - S3 for storage, Lambda functions, Athena (thus strong SQL). Open to interchangable Azure experience. Databricks Python Devops experience a bonus e.g. Terraform, Drone, Kubernetes cluster management for microservice style API data consumption Consultative behaviour - strong stakeholder engagement

maintenance of journeys, Oracle Guided Learning Proficient with Oracle Analytics Tools to build reports: OTBI/Dashboards/Infolets Strong skills in Excel and SQL BI Publisher Demonstrable problem-solving and analytical skills Approachable style with a passion for continuously improving systems Oracle guided learning experience.

Azure Data Factory - including pipelines, triggers, and data flows. Familiarity with Azure Synapse Analytics - understanding data warehousing concepts and testing strategies. Proficiency in advanced SQL and DocumentDB (Cosmos DB) queries - capable of writing, optimizing, and troubleshooting complex queries for data validation. Excellent communication and coordination skills - able to collaborate effectively

transformation, data modelling and data warehousing, and build self-service data products. The role is a mix of Azure cloud delivery and on-prem (SQL) development. Ultimately all on-prem will be migrated to cloud and decommissioned The role will work closely with our Architect, Engineering lead, Analytics team, DevOps … Stay up-to-date with industry trends and best practices in data engineering Core skills and knowledge: Excellent data analysis and exploration using T-SQL Strong SQL programming (stored procedures, functions) Extensive experience with SQL Server and SSIS Knowledge and experience of data warehouse modelling methodologies (Kimball, dimensional modelling, Data

development lifecycle. Required Skills & Experience: Proven experience as a Data Engineer working with Azure. Strong skills in Azure Data Factory, Synapse Analytics, Databricks, SQL Database, and Azure Storage. Excellent SQL and data modelling (star/snowflake, dimensional modelling). Knowledge of Power BI dataflows, DAX, and RLS. Experience with Python … PySpark, or T-SQL for transformations. Understanding of CI/CD and DevOps (Git, YAML pipelines). Strong grasp of data governance, security, and performance tuning. To apply for this role please submit your CV or contact Dillon Blackburn on (phone number removed) or at (url removed). Tenth Revolution

successfully troubleshooting DICOM workflow issues, Experience with Windows Server and strong knowledge with healthcare interface standards (HL7, DICOM, etc.). Networking concepts such as SQL/Oracle & experience with Cloud Environments. Preferred Certification in AWS Cert Path: Cloud Practitioner. Please apply ASAP if this role is of interest.

Requirements Oracle Financials, mainly General Ledger/Payable/Assets Oracle E-Business Financial Suite, Implementation, design and configuration Oracle EBTax experience strongly preferred SQL Develop test scripts and test scenarios for user acceptance testing and system validation. Contract: 12 Months Rolling Rate: Up to £800- £950 Via Umbrella Location

experience with regulatory reporting frameworks: MIFID II, EMIR, SFTR. Familiarity with trade lifecycle and transaction data from front to back office systems. Proficiency in SQL and data analysis tools. Experience working with reporting platforms (e.g., UnaVista, DTCC, Regis-TR) is a plus If this role is of interest please apply

capturing this data Understanding of UML and ERD for logical data models is essential for this role. Understanding of RDBMS's and proficiency with SQL Experience of Sparx Systems Enterprise Architect, or other visual data modelling tools such as Erwin or ER Studio Understanding of JSON and/

Energy Management Systems Should have worked on Power Systems applications for Distribution (VVC (Volt VAR Control, Automatic Feeder Rate etc) Experience with C++, Java, SQL or other related language. Experience with LINUX and Windows Operating Systems Design, implement, and optimize ADMS solutions to meet business needs and improve operational efficiency.

data challenges. Python as the preferred back-end language for new services, however we also need to support languages including Java and .NET. Oracle SQL PL to support existing services. Infrastructure/DevOps technologies including AWS, Azure, SQL server, Postgres, GitHub, Azure DevOps, Linux, docker and Kubernetes Continuous. deployment, supported

.NET 8+) and Azure Services. Develop and secure Modern Distributed Systems using Azure Container Apps, integrating with internal systems. Work with Service Bus, Azure SQL, API Management, and Key Vault to deliver robust, secure, and scalable solutions. Design and optimize data models and SQL queries where needed for high-volume … with CI/CD pipelines and DevOps workflows in Azure DevOps or similar. Experience implementing authentication, authorization, and secure data exchange patterns. Competence with SQL Server — schema design, query tuning, and data optimization. Other beneficial attributes include: Exposure to Infrastructure as Code (Terraform or Bicep). Understanding of event-driven

data challenges. Python as the preferred back-end language for new services, however we also need to support languages including Java and .NET. Oracle SQL PL to support existing services. Infrastructure/DevOps technologies including AWS, Azure, SQL server, Postgres, GitHub, Azure DevOps, Linux, docker and Kubernetes Continuous. deployment, supported

developing scalable, secure, and high-performance applications tailored for banking and financial services. This role involves architecting cloud-native solutions using Azure Cosmos DB (SQL API and Mongo API), implementing effective partitioning strategies, indexing, and consistency models to support real-time financial data processing. The developer will build reusable libraries … customers digital transformation journey by enabling agile, compliant, and resilient financial applications. Your responsibilities Architect and develop cloud-native applications using Azure Cosmos DB (SQL API, Mongo API) Design and implement partitioning strategies, indexing, and consistency models Build reusable libraries and frameworks in C#/.NET or Node.js Develop

integration testing for complex financial applications Test RESTful APIs using tools such as Postman or RestAssured Validate data and perform back-end testing using SQL Integrate automated tests within CI/CD pipelines using Azure DevOps, Jenkins, or equivalent tools Collaborate with developers, product owners, and business analysts to troubleshoot … desirable) Hands-on experience testing RESTful APIs and performing data validation Familiarity with CI/CD pipelines, version control (Git), and Agile methodologies Strong SQL skills and experience with back-end testing Excellent analytical and problem-solving abilities with attention to detail Contract Details £500 p/d Inside IR35

Government projects: In-depth Data Engineering + strong hands-on Azure Databricks expertise. Azure Data Services, Azure Data Factory, Azure Blob Storage + Azure SQL Database. Designing, developing, building + optimising data pipelines, implementing data transformations, ensuring data quality and reliability. Deep Data Warehousing knowledge including data modelling techniques + … data pipelines, large data sets, data pipeline optimization + data architecture design. Implementing complex data transformations using Spark, PySpark or Scala + working with SQL/MySQL databases. Experience with data quality, data governance processes, Git version control + Agile development environments. Azure Data Engineer certification preferred -eg- Azure Data