1 to 25 of 424 SQL Jobs in the Thames Valley

to join a growing team to deliver a large data modernisation programme. As a Data Services Data Engineer, you will be responsible for designing, developing, and maintaining our MS SQL Server Data Warehouses and associated data feeds into and out of the warehouses, and developing on our new modern cloud data platform, requiring Snowflake, dbt and Azure Data Factory experience. … of the wealth management industry, including products & services and the associated data, is a plus. Key Responsibilities • Design, develop, and implement data warehouse solutions using Snowflake, Azure, and MS SQL Server. • Develop data models and database schemas that support reporting and analytics needs. • Extensive use of and fully conversant in SQL. • Experience working with programming languages like C#, Python, Java … develop, and deploy SSIS packages and ADF pipelines. • Manage and troubleshoot SSIS packages and ADF pipelines, ensuring data integrity and error handling is robust. • Creation and maintenance of complex SQL stored procedures. • Integrate data from various sources, including flat files, REST/SOAP APIs, and third-party databases, into the data warehouse/platform. • Develop and maintain complex stored procedures More ❯

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 ❯

governance) to understand reporting requirements and KPIs. Support real-time project monitoring and automated reporting solutions for cost, schedule, risk, safety, and sustainability metrics. Apply Power Query, DAX, and SQL for data modeling, transformation, and performance optimisation. Ensure compliance with data governance, security protocols, and company standards for digital delivery. Support the use of predictive analytics and trend analysis to … data pipelines and reporting frameworks for enterprise-level infrastructure programs. Requirements: Proven experience in Power BI development in complex infrastructure, engineering, or construction environments. Proficiency in Power Query, DAX, SQL, and data integration techniques. Experience working with large-scale projects in sectors such as energy, transport, rail, highways, or utilities. Strong understanding of project lifecycle, project controls, or engineering workflows More ❯

using C#, .NET 6, ASP.NET Core/MVC Frontend development using TypeScript/JavaScript and modern frameworks (Angular, Vue, or React) Design and develop APIs and backend logic using SQL Server and MySQL Collaborate in an Agile environment (Scrum, Sprints, Stand-Ups) Participate in code reviews, unit testing (XUnit, NUnit), and CI/CD pipelines (TeamCity) Work closely with international … experience: 5+ years of Full Stack experience using the Microsoft stack Strong front-end skills using HTML5, CSS3 and a modern JS framework (Angular, Vue, or React) Proficient in SQL development including procedures and query optimisation Experience with source control tools like Git Exposure to Cloudflare, AWS, Terraform (bonus) Familiarity with logging and monitoring tools like ElasticSearch, Rollbar or Sentry More ❯

to data accuracy. Excellent organisational and time management skills, with the ability to prioritise tasks effectively and manage competing deadlines. Desirable Strong commitment to continuous personal development. Knowledge of SQL, DAX, or data modelling techniques. Ability to manage multiple tasks and meet deadlines in a dynamic Disclosure and Barring Service Check This post is subject to the Rehabilitation of Offenders More ❯

Social network you want to login/join with: We are supporting a global technology services provider in the strategic expansion of their Google Cloud Data and AI practice, with multiple opportunities available for experienced professionals across architecture and engineering. More ❯

/technical coach). Position might be filled at a higher level based on candidate experience. What will help you succeed Preferred Requirements: Experience with query languages such as SQL, SPL, or KQL. Experience with observability and log collectors/pipelines such as FluentBit, OpenTelemetry, Cribl, and Logstash. Experience with web technologies such as HTML, CSS, and JavaScript. Experience with More ❯

Responsibilities Design and develop integrations for systems including SITS, HR, Unit4 Finance, Blackboard, Canvas, IAM, Dynamics CRM, and Sitecore CMS. Manage MS Azure Integration Services (AIS) and migrate legacy SQL-based services. Develop and maintain MS SQL Server, SSIS, C#, VB.NET, and web service-based integrations. Provide expert advice on integration impacts, data relationships, and best practices. Support and maintain … stakeholders to understand and deliver on integration requirements. Conduct testing, troubleshooting, and risk mitigation for integrations. Stay informed about technological developments to improve integration services. Essential Skills: Proficient in SQL, Azure Integration Services, SSIS, and web services. Experience with .NET (C#, VB.NET), BizTalk, Azure Logic Apps, Service Bus. Knowledge of university systems like SITS, Trent HR, Blackboard, Canvas, Sitecore, Unit4. More ❯

Responsibilities Design and develop integrations for systems including SITS, HR, Unit4 Finance, Blackboard, Canvas, IAM, Dynamics CRM, and Sitecore CMS. Manage MS Azure Integration Services (AIS) and migrate legacy SQL-based services. Develop and maintain MS SQL Server, SSIS, C#, VB.NET, and web service-based integrations. Provide expert advice on integration impacts, data relationships, and best practices. Support and maintain … stakeholders to understand and deliver on integration requirements. Conduct testing, troubleshooting, and risk mitigation for integrations. Stay informed about technological developments to improve integration services. Essential Skills: Proficient in SQL, Azure Integration Services, SSIS, and web services. Experience with .NET (C#, VB.NET), BizTalk, Azure Logic Apps, Service Bus. Knowledge of university systems like SITS, Trent HR, Blackboard, Canvas, Sitecore, Unit4. More ❯

working with UK mortgage data, including portfolio onboarding, new lending, and securitisations. Experience with Kimball-based star schema data warehouses. Strong capabilities in reporting and data visualisation using: Microsoft SQL Server T-SQL Power BI SSRS Microsoft Excel Azure DevOps Performance tuning techniques Solid understanding of interpreting business requirements into technical solutions. Knowledge of the software development lifecycle and quality … data lifecycle. Familiarity with financial services regulations such as Consumer Duty and Treating Customers Fairly (training available). Desirable Skills Experience with SSAS and SSIS. Hands-on knowledge of SQL Server and modern data warehouse methodologies. More ❯

fixed-term contract. What you'll be doing as an Operations Data & Insight Analyst Building logic, automating processes, reporting, providing analysis and insight, and working with tools such as SQL, PowerBI, Python, and Azure Data Factory, including Databricks to enhance efficiency and effectiveness. Working with large datasets from various internal and external sources, including environmental data, survey feedback, and operational … and stakeholder communication skills, including with senior management. Proven experience in data analysis, reporting, and handling operational datasets; ability to adapt quickly to technical challenges. Proficiency in Excel, PowerQuery, SQL, and Power BI; experience with Python and statistical modeling is advantageous. Quick learner of new tools and technologies; familiarity with Azure Data Factory and building data pipelines is a plus. More ❯

independently and see challenges through to resolution Proficient in Microsoft Excel, Visio, and PowerPoint Knowledge, Skills, Experience and Qualifications - Desirable Experience with Power BI, Tableau and SharePoint Exposure to SQL, Python, R and Data Engineering Knowledge of data-related regulatory requirements Knowledge of emerging trends and issues within the Data Management landscape Experience working in regulated frameworks, ideally financial services More ❯

wider Microsoft Azure platform and PAAS environment Working knowledge of scripting – either Python, .Net, C# or JavaScript Experience working with API endpoints and of data mapping Working knowledge of SQL Experience of Waterfall and Agile delivery methodologies Experience in the use of SCRUM framework (or similar) The ability to communicate with, influence and manage stakeholders expectations. Ability to translate requirements More ❯

e.g., Azure Data Factory, Boomi, Informatica, Talend, dbt, Apache NiFi) Strong familiarity with data warehousing, data lake/lakehouse architectures, and cloud-native analytics platforms Hands-on experience with SQL and cloud data platforms (e.g., Snowflake, Azure, AWS Redshift, GCP BigQuery) Experience with BI/analytics tools (e.g., Power BI, Tableau) and data visualization best practices Strong knowledge of data More ❯

. Skilled in containerisation and orchestration (Docker, Kubernetes), version control (Git, BitBucket), and CI/CD pipelines. Strong foundation in software design patterns, data structures, algorithms, and database technologies (SQL, NoSQL, vector databases). Preferred Qualifications Experience in MarTech, AdTech, or B2B marketing technology, with a background in marketing data and analytics platforms. Familiarity with prompt engineering, LLM optimisation, and More ❯

. Skilled in containerisation and orchestration (Docker, Kubernetes), version control (Git, BitBucket), and CI/CD pipelines. Strong foundation in software design patterns, data structures, algorithms, and database technologies (SQL, NoSQL, vector databases). Preferred Qualifications Experience in MarTech, AdTech, or B2B marketing technology, with a background in marketing data and analytics platforms. Familiarity with prompt engineering, LLM optimisation, and More ❯

. Skilled in containerisation and orchestration (Docker, Kubernetes), version control (Git, BitBucket), and CI/CD pipelines. Strong foundation in software design patterns, data structures, algorithms, and database technologies (SQL, NoSQL, vector databases). Preferred Qualifications Experience in MarTech, AdTech, or B2B marketing technology, with a background in marketing data and analytics platforms. Familiarity with prompt engineering, LLM optimisation, and More ❯

Azure Data Factory, Boomi, Informatica, Talend, dbt, Apache NiFi). Strong familiarity with data warehousing, data lake/lakehouse architectures, and cloud-native analytics platforms. Hands-on experience with SQL and cloud data platforms (e.g., Snowflake, Azure, AWS Redshift, GCP BigQuery). Experience with BI/analytics tools (e.g., Power BI, Tableau) and data visualization best practices. Strong knowledge of More ❯

proven track record of working in a data reporting team supporting all areas of the business. Candidates will need retail experience and a minimum 5 years IT experience of SQL SSIS and SSRS software. Strong communication is key for this role as you will be required to work with all levels of staff and across all departments within the business. … to non-technical audiences. Strong analytical and problem-solving skills, with attention to detail. Excellent customer service skills and experience of working in a service-orientated environment. Proficiency in SQL for querying and managing databases. Responsibilities Analyse data to identify trends, patterns, and opportunities for growth. Deliver actionable insights to stakeholders in finance, HR, IT, customer services, and marketing. Build More ❯

use and best practices for process optimisation The Successful Applicant A degree in Finance, Data Analytics, or a related field (preferred) Strong data visualisation skills (Power BI, Tableau) Solid SQL and database knowledge Experience with Python or R for financial automation and analysis Advanced Excel skills , including financial modelling and VBA Understanding of ETL processes to clean and merge data More ❯

both backend and frontend stacks. Strong programming proficiency in Python, C++, and Java (Quant/Trading grade codebases). Expertise in modern web development with React, Node.js, MongoDB, and SQL (Postgres, MySQL). Strong understanding of Git/GitHub, CI/CD workflows, code branching strategies, and code ownership. Prior work in a fintech, hedge fund, or proprietary trading firm More ❯

and communicating results to non-specialists. Exposure to real-time data engineering (Kafka, Airflow, dbt) Track record turning research code into production services (CI/CD, containers etc) Strong SQL and data-management skills; experience querying large analytical databases (Snowflake highly desirable, but Redshift/BigQuery/ClickHouse etc. also welcome). PREFERRED QUALIFICATIONS: Meteorological understanding/experience with weather More ❯

of data governance frameworks, regulatory compliance (e.g., GDPR, CCPA), and data security best practices. Proven experience in enterprise-level architecture design and implementation. Hands-on knowledge of database systems (SQL/NoSQL), ETL/ELT processes, and data modeling techniques. Exceptional leadership, communication, and stakeholder management skills. Ability to work in fast-paced, agile environments and balance long-term strategy More ❯

developing and maintaining data pipelines for ELT/ETL from various data sources, including databases, APIs, text files, and Parquet. • Expert knowledge of the Microsoft Fabric Analytics Platform (Azure SQL, Synapse, PowerBI). • Proficient in Python for data engineering tasks, including data ingestion from APIs, creation and management of Parquet files, and execution of ML models. • Strong SQL skills, enabling 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 ❯