1 to 25 of 431 SQL Jobs in Berkshire

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 ❯

Strong expertise in Power BI (Power Query, Power BI Desktop, Power BI Service, DAX, and M Query) Experience designing data models and ETL processes within Power BI Proficiency in SQL for querying and transforming data from various sources Understanding of Azure services (e.g., Azure Synapse, Azure Data Factory, Azure SQL) Knowledge of Power Automate and Power Apps integration with Power … BI Experience with non-Microsoft data sources (Snowflake, Oracle, PostgreSQL, MySQL, Synapse, Big Query) advantageous Row Level Security (Analysis Services, PowerBI.com, SQL Server) Performance optimisation (Partitioning, Understanding of columnar database concept, SQL indexing) Troubleshooting (SQL Profiler or other profiler tools, Tabular Editor, DAX Studio, Power BI datasets, RLS security) Business & Consulting Skills Strong ability to gather requirements and translate them 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 ❯

driving innovation in cloud, data, AI & automation through our unique products and services. We are seeking a highly experienced Senior Technical Data Platform Consultant with a strong foundation in SQL and a proven track record in data analytics to lead the implementation and adoption of end-to-end data platform services within our clients' environments. This strategic role is central … influence data strategy at an enterprise level, driving innovation and efficiency through Microsoft’s next-generation data services. With deep technical expertise and a hands-on background originating in SQL development and administration, the consultant will also be responsible for supporting SQL modernization initiatives, including SQL Server upgrades, performance tuning, and data platform transformations. The role requires a balance of … secure, and high-performing data platform architectures. Microsoft Stack Delivery – Deliver end-to-end solutions using Microsoft technologies such as Synapse Analytics, Data Factory, Power BI, and Azure SQL. SQL Modernization Projects – Drive SQL modernization projects including upgrades, performance tuning, and migrations to cloud-native architectures. Governance and Standards – Define and promote best practices for data governance, architecture standards, and More ❯

driving innovation in cloud, data, AI & automation through our unique products and services. We are seeking a highly experienced Senior Technical Data Platform Consultant with a strong foundation in SQL and a proven track record in data analytics to lead the implementation and adoption of end-to-end data platform services within our clients' environments. This strategic role is central … influence data strategy at an enterprise level, driving innovation and efficiency through Microsoft’s next-generation data services. With deep technical expertise and a hands-on background originating in SQL development and administration, the consultant will also be responsible for supporting SQL modernization initiatives, including SQL Server upgrades, performance tuning, and data platform transformations. The role requires a balance of … secure, and high-performing data platform architectures. Microsoft Stack Delivery – Deliver end-to-end solutions using Microsoft technologies such as Synapse Analytics, Data Factory, Power BI, and Azure SQL. SQL Modernization Projects – Drive SQL modernization projects including upgrades, performance tuning, and migrations to cloud-native architectures. Governance and Standards – Define and promote best practices for data governance, architecture standards, and More ❯

data in England and Wales. This is a rare opportunity for highly skilled, energetic and motivated Data Analysts with deep hands-on expertise in data manipulation, with a strong SQL and geospatial background, and a strategic mindset - someone who can balance technical depth with delivery focus, stakeholder management and data analytical leadership. In this role, you will: Collaborate with cross … a Data Analyst, ideally within a data-driven and engineering-led environments. Strong analytical skills with the ability to work with large datasets and draw meaningful conclusions. Proficiency in SQL and at least one data visualisation tool (e.g. Power BI, Tableau, Looker). Experience with Python, R, or similar for data analysis is a strong plus. Familiarity with databases. Also More ❯

preferably within secure government programs Strong understanding of RBAC and ABAC principles and their application in high-security environments. Active SC/DV Clearance is essential. Technical Skills: Strong SQL skills and ability to work with large, complex datasets from multiple systems. Experience with BI and visualization tools (e.g., Power BI, Tableau, Looker). Familiarity with scripting languages like JavaScript 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 ❯

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 ❯

looking for? Hands-on experience designing scalable, greenfield data platforms in cloud environments using Azure D&A stack, Databricks, and Azure Open AI. Proficiency in coding (Python, PL/SQL, Shell Script), relational and non-relational databases, ETL tools (e.g., Informatica), and scalable data platforms. Knowledge of Azure Data and Analytics stack; familiarity with AWS and GCP data solutions. Experience More ❯

certifications. What Makes a Great Grayce Analyst: A minimum 2:1 undergraduate degree in a STEM field; an MSc is an advantage. Experience with tools such as Excel, R, SQL, or Python; familiarity with Tableau or Power BI is a plus. Strong analytical and creative problem-solving skills. Effective communication, planning, organisation, and a continuous learning mindset. Stakeholder and time 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 ❯

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 ❯

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 ❯

Need Strong experience in enterprise development using C# .NET, WebAPI and working within an Agile environment. Knowledge of Design Patterns, SOLID principles, and scalable architecture best practices. Proficiency with SQL databases (Microsoft SQL Server preferred) – experience with MongoDB is a plus. Familiarity with modern web UI frameworks (Vue.js, Angular, Blazor) is advantageous. Experience with Azure DevOps, CI/CD pipelines More ❯

driven, scalable distributed systems using .NET, C#, Kafka, ELK Stack, and Kubernetes. Full-stack development experience with front-end technologies like HTML and Vue.js. Proficiency in scalable database design (SQL, NoSQL, Graph databases) such as SQL Server, MongoDB, Cassandra, Redis, and Apache Druid. Experience with REST APIs, GraphQL, and gRPC. Hands-on experience with version control (GitHub/GitLab) and More ❯

using .net, C#, Kafka, ELK Stack & Kubernetes Full stack experience with Front end development experience using HTML, VUE.js • Strong hands-on experience in performant and scalable database design in SQL, NOSQL and GRAPH databases such SQL Server/PgSQL, MongoDB, Cassandra, Redis ,Apache Druid • Solid experience in REST APIs, GraphQL & gRPC • Strong hands-on experience in GitHub/GitLab and 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 ❯

decisions. Qualifications Degree in a relevant discipline (e.g., STEM, Maths, Statistics, Physics) or equivalent experience. Experience in an analytical role, preferably within the gambling or gaming industry. Proficiency in SQL and at least one of Python, R, or SAS. Knowledge of data visualization tools, preferably PowerBI. Ability to analyze large datasets and translate findings into actionable insights. Strong communication, collaboration 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 ❯

for? Hands-on experience in designing greenfield, scalable data platforms in cloud using Azure D&A stack, Databricks and Azure Open AI solution. Proficiency in coding (Python,PL/SQL, Shell Script) relational and non-relational databases, ETL tooling (such as Informatica), scalable data platforms. Proficiency in Azure Data and Analytics stack; working knowledge on AWS and GCP data solutions. More ❯