1 to 25 of 76 SQL Jobs in Norfolk

policies, and experience managing servers and virtual environments in Microsoft Azure BI & Data Skills : Experience with other BI platforms (e.g. SAP BusinessObjects, Power BI), SQL, ETL processes, data modelling, and diverse data sources (including SAP HANA). Tableau Tools : Knowledge of Tableau Server Resource Monitoring Tool (RMT) and Content Migration More ❯

and QuickSight. Knowledge of data modeling, ETL, data warehousing, and statistical/machine learning techniques. Programming skills in Python, R, or Scala. Experience with SQL, NoSQL, data visualization, and statistical packages. Strong analytical and problem-solving skills. Understanding of social media analytics and user behavior. Familiarity with big data technologies More ❯

or a related field. 5+ years of experience in building data pipelines, models and maintaining Data Warehouses for reporting and analytics. Strong skills in SQL, Python, problem-solving and data analysis. Deep Experience with Snowflake and AWS Deep Experience with dbt. Excellent communication and collaboration skills. An eagerness to learn More ❯

multiple projects effectively. - Capable of tailoring analysis approaches to different client environments. Preferred: - SAFe certification or Lean/Six Sigma experience. - Working knowledge of SQL/Python for data discovery. - Experience with business glossary management. - Knowledge of Snowflake and data management best practices (DMBOK certification beneficial). - Background in the More ❯

numbers, and you love finding ways to make things better. Ideally, you’ll bring: ?Experience in collections analytics or strategy, ideally in financial services ? SQL or Python skills (you know your way around a dataset!) ? An analytical brain paired with a solutions-first mindset ?️ Excellent communication skills, you can explain More ❯

and Experience: Science or Engineering degree or equivalent. Familiarity with BESS, solar energy, or power systems. Fluent in Python programing, Jupyter notebook environment and SQL language. Knowledge of AWS cloud would be an asset. Strong computer skills and In-depth familiarity with big data analysis. Problem solving ability, critical thinking More ❯

time and to a high standard. Team player who enjoys working closely with others to achieve shared goals Backend: C#, .Net Core, ASP.Net MVC, SQL Front end: HTML, CSS, JavaScript Cloud Platforms Experience working in Agile environments A passion for innovation If you would like to work on cutting edge More ❯

and DevOps champion across the organisation Required for the role: Deep experience with Microsoft technologies (especially Azure PaaS) Strong coding background (C#, PowerShell, T-SQL — bonus: Python, Java, Power Platform) Proficiency in CI/CD tools (Azure DevOps, GitHub, GitLab, etc.) Hands-on with Infrastructure as Code (Terraform, Bicep, ARM More ❯

a Lead Engineer Experience with Service-oriented architecture Ability to optimize backend applications using MySQL or other data sources Experience with relational databases and SQL, especially MySQL Strong PHP knowledge, understanding its strengths and weaknesses Proficiency in PHP, Symfony, and Laravel Languages : PHP, Ruby-on-Rails, Java, Python, C# Frameworks More ❯

containerisation, and cloud-native infrastructure. Familiarity with frontend architecture (Angular or similar) and its integration with backend services. Solid grounding in data architecture, both SQL and NoSQL; experience with data warehousing and ADF is advantageous. Comfortable leading architecture across multiple teams in a fast-moving Agile delivery environment. What’s More ❯

source control and CI/CD tools (Git, Azure DevOps, GitHub/GitLab) Skilled in multiple programming languages, ideally including: .Net (C#) PowerShell T-SQL Deep understanding of the software development lifecycle and Agile methodologies Proven experience in DevOps/SRE practices, CI/CD pipelines and Infrastructure as Code More ❯

Weights & Biases). Experience with model explainability techniques (e.g., SHAP, LIME). Familiarity with reinforcement learning or generative AI models. Tools & Technologies: Languages: Python, SQL (optionally: Scala, Java for large-scale systems) Data Processing: Pandas, NumPy, Apache Spark, Beam Model Serving: TensorFlow Serving, TorchServe, FastAPI, Flask Experiment Tracking & Monitoring: MLflow More ❯

with HTML and JavaScript. Experience with either ASP.NET/C# or Python/Django, and willingness to learn the other. Understanding of database and SQL is an advantage. Knowledge of Software Development Lifecycle, including configuration management and GIT flow best practices. Ability to translate stakeholder requirements into functional webpages. What More ❯

within either Oracle or Snowflake and AWS, working knowledge of DataOps and CI/CD. Ability to write clean, maintainable, and robust code in SQL or Python. Scala, Java, or similar languages would be advantageous but not required . Experience in data pipeline engineering and best practice with CI/ More ❯

and CRM journey logic Exceptional time management skills and the ability to juggle multiple priorities You’ll stand out if you’ve worked with: SQL (Stored Procedures, SSMS), SSIS Cloud technologies like Snowflake and AWS Glue REST APIs and data integration strategies Campaign platforms like Acoustic, DotDigital, Salesforce Marketing Cloud More ❯

consultants are workplace ready ahead of starting roles with our clients. Modules taught at the Digital Futures Academy include: Technical Skills: Coding fundamentals (Python, SQL) Data modelling and data warehousing Extract-Transform-Load (ETL) Creating data pipelines Ethics in data and AI Cloud and big data technologies (PySpark, AWS) Working More ❯

to support database needs. Training: Provide training and mentorship to junior database administrators and team members. Key skills/knowledge/experience: Proficiency in SQL and PL/pgSQL. Strong understanding of database design principles. Experience with performance tuning and optimization. Knowledge of backup and recovery techniques. Familiarity with database More ❯

you with access to the following additional courses to ensure you are suitably employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by More ❯

with IDMC components such as application integration, data integration, and data quality. Solid understanding of RDBMS, Data Warehouse, and Business Intelligence concepts. Proficient in SQL with performance tuning skills. Comprehensive knowledge of the Informatica platform and its components. Data analysis and profiling skills using Informatica and Excel. Experience in infrastructure More ❯

IaaS, PaaS, and SaaS models. Experience with IDMC components: application integration, data integration, data quality. Good understanding of RDBMS, DWH, and BI concepts. Strong SQL skills and performance tuning. Knowledge of the entire Informatica platform and component integration. Data analysis and profiling skills using Informatica and Excel. Experience in infrastructure More ❯

and modern technologies. Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent experience. Hands-on experience with .NET, Java, APIs, microservices, SQL/NoSQL, and CI/CD pipelines; understanding of cloud/on-prem infrastructure and security protocols. Experience with ECM, RPA (e.g., UIPath), scanning platforms More ❯

database-based systems. Demonstrated ability to work productively on a cross functional and cross geographic team. Fluent English – both writing and verbal. Knowledge of SQL and Excel, experience with other programming languages desirable. Good to have skills: Previous experience working with a Life or Pensions policy administration system, digital platform More ❯

data workloads in Azure - ESSENTIAL Other Requirements Experience with AI development using Azure Machine Learning - ESSENTIAL Strong programming skills in languages such as Python, SQL, or C# - ESSENTIAL CORE COMEPTENCIES & SKILLS: Expertise in designing and implementing data models and data warehousing solutions. Knowledge of machine learning algorithms and experience in More ❯

or a different path that’s given you similar skills). Experience working with data—this could include statistical modelling or programming in Python, SQL, R, C++, or similar. What you’ll get for this role: Our purpose - with you today, for a better tomorrow – is a promise we make More ❯

Java code, along with deep expertise within Spring boot OR Quarkus/GraalVM, Hands on with Messaging Systems (Kafka, RabbitMQ, Google Pub/Sub), SQL Databases CI/CD Pipelines and Agile development: Knowledge of continuous integration and delivery tools/practices, Scrum/Kanban methods, Automated testing experience Domain More ❯