26 to 50 of 262 SQL Jobs in Berkshire

team to understand data requirements Implement data quality checks and validation processes to ensure data integrity Participate in architecture decisions and contribute to technical roadmap planning Technical Skills: Great SQL skills with experience in complex query optimization Strong Python programming skills with experience in data processing libraries (pandas, NumPy, Apache Spark) Hands-on experience building and maintaining data ingestion pipelines More ❯

projects. • Monitor emerging pricing tools, analytics methods, and market best practices. About You: • Proven experience in data analytics, ideally within retail, leisure, or multi-market environments. • Strong Skills in SQL, Python, and data visualisation tools (Power BI preferred). • Experience in building models to deliver actionable insights. • Experienced with customer/CRM analytics and predictive customer segmentations. • Degree in a More ❯

.NET Developer, .NET 9, C# - Consultancy - Bracknell (Tech stack: .NET Developer, .NET 9, ASP.NET, C#, React, Angular 19, Microservices, Vue.js, TypeScript, Azure, Web API 2, Agile, Azure SQL, Programmer, Full Stack Engineer, Architect, .NET Developer) Our client is an award winning Microsoft consultancy. They specialise in delivering innovative .NET technology based business solutions to investment banks, financial services companies, prestigious More ❯

Partner with data engineers, developers, and business teams for seamless data integration and delivery. Required Skills Strong experience in data analysis , business alignment , and KPI validation Proficiency with Snowflake , SQL , ETL , and data modeling Experience with Qlik Sense or similar BI tools Solid understanding of data visualization , UX , and dashboard design Analytical and problem-solving mindset Good communication skills and More ❯

of digital and email marketing Make complex technical concepts simple for clients, by explaining the story behind the information The Person Experience with coding environments such as Python and SQL Highly proficient in Microsoft Excel, with experience in CRM/marketing automation tools such as Braze, Atreemo or DotDigital Skilled in data visualisation and reporting, with experience in Power BI More ❯

a front-office support team within a leading investment bank. The ideal candidate will bring a mix of engineering expertise, mathematical aptitude, and hands-on experience with Python and SQL, supporting business-critical trading applications. Key Responsibilities: Provide technical and functional support for front-office applications and trading systems. Troubleshoot, analyse, and resolve incidents, ensuring minimal business disruption. Collaborate closely More ❯

s degree in Business, Data Analytics, Finance, or a related field is preferred. Analytical Skills: Strong analytical and problem-solving skills with proficiency in data analysis tools (e.g., Excel, SQL). Tech Savvy: Experience with CRM systems (e.g., Salesforce) and familiarity with BI tools (e.g., Tableau, Power BI). Attention to Detail: Ability to manage multiple projects with a high More ❯

learn 🧩 Understanding of machine learning algorithms and statistical modelling 📈 Strong problem-solving and analytical mindset 🗣 Excellent communication skills and a genuine passion for learning Nice to Have: 💾 Experience with SQL, data pipelines , or cloud platforms ( AWS, GCP, or Azure ) 📊 Familiarity with MLOps tools or model deployment practices 📚 Exposure to NLP, computer vision, or generative AI projects (academic or personal) 💻 Previous More ❯

analytical models, and emerging technologies. What You’ll Bring ✅ Extensive hands-on experience with Databricks , and Microsoft Azure data tools (must-have: Azure Data Factory, Azure Synapse, or Azure SQL). ✅ Dimensional modelling/DWH Design ✅ Medallion Architecture ✅ Strong ETL/ELT development skills. ✅ Python scripting experience for data automation. ✅ Experience with CI/CD methodologies for data platforms. ✅ Previous More ❯

of day and usage patterns Building dashboards and reports to monitor operational and commercial KPIs Supporting strategic planning as the business expands across the UK SKILLS & EXPERIENCE REQUIRED Strong SQL and Python skills Experience with data visualisation tools (Power BI preferred, but flexible) Proven background in analytics or data science, ideally in a commercial or operational context Exposure to predictive More ❯

Experience: * 4+ years in data architecture, warehousing, and cloud platforms (Snowflake, Azure, Databricks)* Hands-on experience with Microsoft Power Platform, Power Automate, and Copilot Studio* Strong Power BI and SQL skills* Proven experience implementing automation at scale* Agile delivery experience* Desirable certifications:o Power Platform Functional Consultanto Azure Enterprise Data Analysto Power BI Data Analyst Personal Qualities: * Excellent communicator with More ❯

ML frameworks (PyTorch, TensorFlow) Solid understanding of CI/CD, Git, testing, and agile methodologies Hands-on experience with Linux, Docker, and containerized deployments Familiarity with data engineering concepts (SQL, ETL, data lakes) Experience with orchestration frameworks like LangChain, LangGraph, or Semantic Kernel Cloud deployment experience (AWS, GCP, Azure) Work on high-impact AI projects that shape the future of More ❯

knowledge of DAX formulae desirable) Intermediate knowledge of Power Query and M Language (must have) Intermediate level of Power BI (with knowledge of DAX measures desirable) Programming skills (VBA, SQL or similar valuable) Relevant degree with numeracy and analytical skills Ability to work with large amounts of data Ability to manage, create and present PowerPoint reports Willingness to work with More ❯

Sense Expertise: Proficiency in Qlik Sense, including data modeling, scripting, and visualization techniques. •Data Integration and ETL: Knowledge of ETL processes, data extraction, and transformation, along with experience in SQL and data connectors. •Scripting: Experience with Qlik’s scripting language for custom data loading, transformation, and calculations. •Data Analysis and Visualization: Skills in visualizing data, selecting appropriate chart types, and More ❯

market pricing tools (e.g., Radford, Mercer, WTW). Strong project management skills, with the ability to manage multiple competing priorities in a fast-paced environment. Experience querying data with SQL or using statistical programming languages such as R or Python. Preferred Qualifications Professional certification from WorldatWork (e.g., CCP, GRP). Experience working in a multinational and/or technology organization. More ❯

years’ experience in software engineering (3+ in Python) Needs to have experience within financial services, fintech, or investment tech! Strong AWS and data engineering experience Solid understanding of APIs, SQL/NoSQL, and modern software design A problem-solver who enjoys working closely with the business If you’re a Python engineer who loves solving complex data challenges in a More ❯

home. Essential experience: Degree in STEM subject from a Russell Group or Red Brick University Experience leading software development teams Knowledge of either C# or React Strong experience with SQL Source control, ideally Git Agile Any experience in the following would be advantageous: Latest versions of .NET AI, Machine Learning JavaScript, TypeScript and associated frameworks Containers, Docker, Kubernetes NoSQL Test More ❯

and Spring Deep understanding of distributed systems and microservices Hands-on experience with AWS , Kubernetes , Docker , and Terraform Familiarity with CI/CD pipelines and testing best practices Solid SQL and relational database skills Ownership mentality, with strong problem-solving skills and attention to detail Great communication and a collaborative mindset Bonus Points: Experience with Node.js or frontend technologies like More ❯

/.Net experience – they use .Net 8 on this project. Ideally have worked with Python which is used across the business. Good understanding of the Azure toolset – Functions, Services, SQL, SaaS. Other technologies include ASP.NET, WebAPIs, Testing & CI/CD. Good collaborations skills and ability to communicate amongst different teams. Happy working in an environment where you have autonomy and More ❯

across complex, multi-domain environments. Key requirements: Proven background managing globally dispersed engineering teams (20-30+ heads) in global banks. Experience with Microsoft-based legacy systems (.NET, C#, SQL, Azure, on-prem/cloud) and emerging technologies including Linux, Java, microservices, and containerisation (Docker, Kubernetes, Helm, Camunda). Proficiency in CI/CD pipelines (Jenkins), version control (GitHub/ More ❯

. Strong commercial acumen , with the ability to translate data insights into business strategies. Advanced analytical and quantitative skills , with expertise in statistical analysis and predictive modeling. Proficiency in SQL, Python, or R , and experience with data visualization tools such as Power BI, Tableau, or Looker Studio. Excellent stakeholder management skills , with the ability to communicate complex data findings to More ❯

with an equivalent combination of education and relevant experience. From a technical standpoint, candidates must demonstrate strong proficiency in Excel and data manipulation techniques, along with basic knowledge of SQL for data querying and retrieval. A solid understanding of fundamental data analysis concepts and methodologies is essential, as is familiarity with database management principles and basic statistical analysis techniques. Beyond More ❯

university preferred) Desirable Experience Hands-on experience with Rust (or willingness to learn — our current team picked it up on the job) Cloud infrastructure: Kubernetes, GCP, Cloudflare, Terraform Databases: SQL-like, especially SurrealDB Leadership qualities: mentoring, project ownership, stakeholder management Exposure to sports betting, gambling, or adjacent domains (not required) What Success Looks Like (6–12 Months) You’ve shipped More ❯

ideally in Treasury or from a hedge fund/buy-side firm Expertise in Python for designing and optimising complex applications Strong proficiency in data tools like Pandas, NumPy, SQL, and real-time data processing Familiarity with DevOps practices, including Linux, cloud platforms, and CI/CD (Docker/Kubernetes is desirable but not essential). Strong communication skills, managing More ❯

Experience in Maximo Application Suite, Maximo Manage 8.x Mandatory Java, Javascript, Jython, SQL knowledge Strong experience in Maximo Manage configuration and customization Strong experience in complex customizations using Maximo MBOs, Java, and automation scripts. Strong experience in integrating external systems like Salesforce Strong experience in integrations using REST APIs, JSON, and MIF (Maximo Integration Framework). DevOps practitioner with Bitbucket More ❯