1 to 25 of 838 SQL Jobs in London

multiple data analytics tools (e.g. Power BI) Deep understanding of data wareho using concepts, ETL/ELT pipelines and dimensional modelling Proficiency in advanced programming languages (Python/PySpark, SQL) Experience in data pipeline orchestration (e.g. Airflow, Data Factory) Familiarity with DevOps and CI/CD practices (Git, Azure DevOps etc) Ability to communicate technical concepts to both technical and More ❯

as regression, classification, clustering, or time-series forecasting. Proficiency in Python and experience with data science libraries (e.g., Pandas, NumPy, scikit-learn, XGBoost, PyTorch, TensorFlow). Strong experience with SQL and data manipulation across large datasets. Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Plotly, Tableau, or Power BI). Exposure to modern collaborative data platforms (e.g., Databricks, Snowflake, Palantir More ❯

responsibilities will include: Understanding Business Needs: Engage with stakeholders to gather and analyze business requirements. Application Design & Development: Design and program applications using Visual C#.NET, interfacing with Oracle and SQL Server databases. Quality Assurance: Conduct unit testing and ensure quality at every stage of development. Support Existing Applications: Provide ongoing support for current C# and .NET applications, ensuring optimal functionality. … Collaboration: Work closely with the IT department to maintain the environments where applications run. Additional Responsibilities: Define necessary database objects and liaise with SQL and Oracle Database Administrators in London and New York. Create scripts for T-SQL (SQL Server) and PL/SQL (Oracle) to facilitate data analysis. Support the setup of system distribution methods for Citrix and application … with the latest versions of MS .NET Framework and Visual .NET platforms. Who You Are: Proficient in C# and the .NET framework, with a strong understanding of database management (SQL Server & Oracle). A problem-solver who enjoys tackling challenges and finding innovative solutions. A team player who communicates effectively with both technical and non-technical stakeholders. Willing to provide More ❯

responsibilities will include: Understanding Business Needs: Engage with stakeholders to gather and analyze business requirements. Application Design & Development: Design and program applications using Visual C#.NET, interfacing with Oracle and SQL Server databases. Quality Assurance: Conduct unit testing and ensure quality at every stage of development. Support Existing Applications: Provide ongoing support for current C# and .NET applications, ensuring optimal functionality. … Collaboration: Work closely with the IT department to maintain the environments where applications run. Additional Responsibilities: Define necessary database objects and liaise with SQL and Oracle Database Administrators in London and New York. Create scripts for T-SQL (SQL Server) and PL/SQL (Oracle) to facilitate data analysis. Support the setup of system distribution methods for Citrix and application … with the latest versions of MS .NET Framework and Visual .NET platforms. Who You Are: Proficient in C# and the .NET framework, with a strong understanding of database management (SQL Server & Oracle). A problem-solver who enjoys tackling challenges and finding innovative solutions. A team player who communicates effectively with both technical and non-technical stakeholders. Willing to provide More ❯

generation, and prompt engineering. Mandatory Skills: Cloud Platforms:Deep experience with AWS (S3, Lambda, Glue, Redshift) and/or Azure (Data Lake, Synapse). Programming & Scripting:Proficiency in Python, SQL, PySpark etc. ETL/ELT & Streaming:Expertise in technologies like Apache Airflow, Glue, Kafka, Informatica, EventBridge etc. Industrial Data Integration:Familiarity with OT data schema originating from OSIsoft PI, SCADA More ❯

closely with analysts and stakeholders to translate requirements into scalable technical solutions Troubleshoot and improve reliability, latency and workload performance Essential Skills Strong hands-on experience with PySpark, Spark SQL, Spark Streaming, DataFrames Microsoft Fabric (Fabric Spark jobs, dataflows, pipelines, semantic models) Azure: ADLS, cloud data engineering, notebooks Python programming; Java exposure beneficial Delta Lake/Delta table optimisation experience More ❯

and stakeholder management. Strong proficiency in Python (or R), with deep experience using modern data science libraries (e.g., Pandas, NumPy, scikit-learn, PyTorch, TensorFlow, Statsmodels). Solid foundation in SQL and data wrangling across large, complex datasets. Hands-on experience with experimentation platforms, data visualization, and dashboarding tools (e.g., Tableau, Power BI, Plotly). Familiarity with cloud-based data platforms More ❯

tools such as Postman or Swagger to observe behaviour of APIs Technical awareness and experience of a service architected platform Process analysis, data mapping and data analytical skills using SQL, Excel and Power BI Proficiency in designing and implementing data models Strong understanding of BI concepts and tools Must have experience with client-facing applications and digital transformation Experience with More ❯

Wharf. Role - C# Developer - Desktop Applications Duration - 6 months with likely extension Rate - £415 p/d (inside IR35) Location - Hybrid/Canary Wharf Tech Stack C# WPF Winforms SQL Oracle Tasks Tasks range from understanding business requirements, designing application structures, business data analysis, programming WPF (Windows Presentation Foundation) applications in Visual C#.NET on both Oracle and SQL Server database … languages like MS VBA for Excel and Access, MS VB and MS Excel Macros will also be required. Additional Tasks Defining Database objects required in systems to connect with SQL and Oracle Database Administrators in both London and New York. Providing script for database inquiry languages, i.e., T-SQL (SQL Server) and PL/SQL (Oracle) to perform data analysis … relevant support teams such as other Development sections, Technical Support, Network and Infrastructure and DBA where Business users experience system problems. Assessing the impact of data processing loads on SQL and Oracle database and, when appropriate, finding alternative approaches. Rolling out changes with a coordination of Release manager. It is important to maintain the change history of applications GCS is More ❯

Maintain clear documentation and contribute to 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 Solid Java programming and More ❯

and Dataverse . Strong integration skills with Azure Logic Apps , REST/SOAP APIs , and KingswaySoft . Experience with CI/CD , DevOps , and GIT version control. Proficient in SQL , SSIS , and Azure Data Factory (ADF) . Working knowledge of Agile/SCRUM and OWASP principles. Excellent stakeholder management, communication, and problem-solving skills. Desirable Exposure to Copilot and AI More ❯

at least one of: Python, C++, C#, Java, or JavaScript Curiosity and problem-solving mindset — you love figuring things out Comfortable learning new technologies quickly Bonus: experience with Git, SQL, or personal projects you can show off Why You’ll Love It Here Impact: You’ll write code that ships — not sit on sidelines Growth: Weekly mentoring, technical training, and More ❯

Qualifications & Experience Essential 4+ years of experience in Data Engineering or cloud-based data roles. Strong expertise in Azure cloud services and Databricks . Advanced proficiency in Python and SQL for data engineering. Experience with ETL/ELT tools and orchestration frameworks (e.g., Airflow, dbt). Strong knowledge of data warehousing and cloud-based data architectures. Understanding of BI tools More ❯

to turn data into something powerful. You'll bring: 3+ years' experience in data engineering or cloud platform development (including Azure, AWS, GCP, Snowflake or Databricks) Strong proficiency in SQL and Python. Proven experience with CI/CD tools, DevOps, and automation practices. Solid understanding of data modelling, orchestration, and workflow management. A desire to lead by example and elevate More ❯

Technical Skills required 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 ❯

Technical Skills required 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 ❯

Strong experience in building performant, scalable and reliable micro services. Hands-on experience with AWS services such as S3, Lambda, Athena, EC2, SQS, RDS, DynamoDB, etc. Strong proficiency in SQL, with experience of building data pipelines, data models, and data transformation within data warehouses, knowledge of tools such as DBT is desired. Strong proficiency in Python, with a deep understanding More ❯

degree, or a relevant professional qualification, or equivalent experience Some experience in software engineering using mainstream languages such as Python, Java or .Net (with related technologies) Some experience with SQL, PowerBI would be beneficial Show aptitude and an interest to get involved in a variety of problem solving activities as well as technologies covering varying roles Willingness to continually learn More ❯

a similar senior role Experience in designing and implementing Azure Data solutions using services such as: Microsoft Fabric Azure Synapse Analytics Azure Databricks Azure Data Lake Storage Gen2 Azure SQL Database Azure Data Factory Azure DevOps Azure Stream Analytics Microsoft Power BI Familiar with Azure Purview An understanding of Master Data Management and Data Governance frameworks Familiar with development approaches More ❯

on Azure (AKS/ACI/Functions), CI/CD, and Infrastructure as Code (Bicep/Terraform). Data & Information Management Experience with relational/semi-structured database (MS SQL and Cosmos DB) and vector search indexing (Azure AI Search/pgvec More ❯

Participate in the creation and ongoing maintenance of documentation, including data dictionaries, data catalogues, data flow diagrams, and process documentation. MINIMUM QUALIFICATIONS/SKILLS Proficiency with the Python and SQL programming languages. Hands-on experience with cloud platforms like AWS, GCP, or Azure, and familiarity with big data technologies such as Hadoop or Spark. Experience working with relational databases and More ❯

position. Proven ability to define and drive an organisation's analytical agenda using statistical methods and data science techniques. Excellent knowledge and hands-on experience with data transformations through Sql/dbt, data modelling and modern visualisation tools like Looker and Power BI. Experience with Python would be an advantage. Strong communication, stakeholder management, and ability to influence decision-makers. More ❯

proficiency in programming languages such as Python, Java, or Scala. Experience with cloud platforms like Azure. Knowledge of big data technologies such as Hadoop, Spark, or Kafka. Proficiency in SQL and database management systems. Familiarity with data warehousing concepts and tools. Ability to work collaboratively with cross-functional teams. A solid understanding of data security and privacy standards. A degree More ❯

proficiency in programming languages such as Python, Java, or Scala. Experience with cloud platforms like Azure. Knowledge of big data technologies such as Hadoop, Spark, or Kafka. Proficiency in SQL and database management systems. Familiarity with data warehousing concepts and tools. Ability to work collaboratively with cross-functional teams. A solid understanding of data security and privacy standards. A degree More ❯

Support self-service analytics through Power BI and QlikSense Implement best practices for data modelling, governance, and optimisation What You'll Bring Experience with ETL/ELT development and SQL/Python scripting Hands-on knowledge of Snowflake and cloud data platforms (Azure, AWS, or GCP) Understanding of data modelling , automation , and BI tools A collaborative, problem-solving mindset and More ❯