1 to 25 of 325 Remote SQL Jobs in London

enhancements, and updates to ensure smooth operation of warehouse services. Data Management Manage, optimise, and maintain data for efficient storage and retrieval. Write complex SQL and PL/SQL queries to manipulate, transform, and analyse data. Data Integration Integrate data from multiple internal and external systems, ensuring seamless data flow … 5+ years of hands-on industry experience with Oracle databases and data warehousing design principles. Proficient in ODI ETL, OAS/OBIEE, PL/SQL, SQL, and Oracle Forms. Experience with ER modelling and data modelling tools. Proven ability to translate business and regulatory requirements into robust technical solutions. Analytical

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, testing with users, implementation through Development, Quality Assurance (QA), Production and Disaster Recovery environments. Supporting users and writing operation documents including User Helps (manuals) will also be required. As well as application development, this role will also include all aspects of system constructions and support

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

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.

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

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

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

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

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

Python, 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

retail banking or wider financial services sector Additional technical experience in any of the following – PySpark, Microsoft Azure, VBA, HTML/CSS, JavaScript, JQuery, SQL, PHP, Power Automate, Power BI What we offer A highly competitive salary A genuinely compelling profit share scheme, with the potential to own a significant

eventual consistency systems using Kafka, .Net, Java, REST APIs, AWS, Terraform and DevOps Nice to have:experience in data pipping and modelling using SQL, DBT, ETL, Data Warehousing, Redshift and Python, and ecommerce and mobile applications background Additional Information Were a community here that cares as much about your life

risks. About you: A deep knowledge and understanding of Cyber accumulations and experience with cyber catastrophe models (CyberCube, Moody’s RMS, Guidewire). Advanced SQL and excel skills. Familiarity with Power BI and Python an advantage. Excellent analytical and problem-solving skills, with a keen attention to detail. Current knowledge

Delta Lake, cluster optimisation, job scheduling). Solid knowledge of Azure cloud services including: Azure Data Lake Storage Azure Data Factory Azure Synapse/SQL Pools Azure Key Vault Strong programming skills in Python and SQL. Experience building scalable, production-grade data pipelines. Understanding of data modelling, data warehousing concepts

Delta Lake, cluster optimisation, job scheduling). Solid knowledge of Azure cloud services including: Azure Data Lake Storage Azure Data Factory Azure Synapse/SQL Pools Azure Key Vault Strong programming skills in Python and SQL. Experience building scalable, production-grade data pipelines. Understanding of data modelling, data warehousing concepts

Microsoft Fabric architecture and components Expertise in Microsoft Fabric Data Engineering Fabric Dataflows/Azure Data Factory Experience with Azure Synapse, Data Lake, SQL, and integration pipelines Desirable: Experience with other low-code or analytics platforms Knowledge of data governance frameworks and security models Microsoft certifications (e.g., Power BI Data

including Databricks and Data Factory, to help us build and optimise cutting-edge solutions. You'll bring strong programming skills in Python, PySpark, and SQL, along with proven experience in designing data models, developing pipelines, and implementing modern data architecture. Your ability to translate complex technical concepts into clear, actionable

consumption within a big data architecture, using Java, Python, Scala, Spark, SQL. Experience performing tasks such as writing scripts, extracting data using APIs, writing SQL queries etc. Experience in processing large amounts of structured and unstructured data, including integrating data from multiple sources through ingestion and curation functions

similar Hands-on experience with Microsoft Fabric (essential) Proven expertise with Azure Data services (Data Factory, OneLake, Synapse, etc.) Solid background in database technologies (SQL), reporting tools (Power BI) Excellent communication skills to work across technical and non-technical teams Experience with migration projects (e.g., moving from legacy

Hands-on experience with Microsoft Fabric (essential) Proven expertise with Azure Data services (e.g. Data Factory, OneLake, Synapse, etc.) Solid background in database technologies (SQL), and reporting tools (Power BI) Excellent communication skills to work across technical and non-technical teams Experience with migration projects (e.g., moving from legacy

similar Hands-on experience with Microsoft Fabric (essential) Proven expertise with Azure Data services (Data Factory, OneLake, Synapse, etc.) Solid background in database technologies (SQL), reporting tools (Power BI) Excellent communication skills to work across technical and non-technical teams Experience with migration projects (e.g., moving from legacy

Hands-on experience with Microsoft Fabric (essential) Proven expertise with Azure Data services (e.g. Data Factory, OneLake, Synapse, etc.) Solid background in database technologies (SQL), and reporting tools (Power BI) Excellent communication skills to work across technical and non-technical teams Experience with migration projects (e.g., moving from legacy

Python, 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

Power BI Developer or similar BI role.* Strong commercial experience with Power BI, including DAX, data modelling, and dashboard design.* Proficient in SQL and experienced in working with relational and cloud-based data sources.* Familiarity with Azure tooling such as Data Factory, Synapse, or Databricks beneficial.* Strong analytical mindset with

budgeting). Experience with large-scale finance platforms such as SAP. Certifications related to ERP systems (e.g., Dynamics NAV, Business Central). Proficiency in SQL, advanced Excel (including macros), and reporting or analytics tools. Experience with system integrations, data mapping, and migration projects. Excellent analytical, troubleshooting, and problem-solving abilities.