1 to 25 of 198 SQL Jobs in the South West

ensure successful adoption of reporting. Requirements Proven experience with PowerBI and data visualisation. Ideally 5 years plus. Strong knowledge of data warehousing principles. Strong SQL expertise, understanding of ETL, DAX, Power Query. Ability to maintain and enhance semantic models. Knowledge of dimensional data modeling (Kimball), Data warehousing concepts, OLAP. Excellent More ❯

machine learning, statistical methods, and predictive modelling. Expertise in programming with Python or R, including optimization, modularization, and best practices. Hands-on experience with SQL and working with relational databases, data lakes, and cloud platforms. Exposure to Azure Data Services, Fabric, Synapse, or related cloud technologies is highly desirable. Proven More ❯

deploying and configuring web applications in multiple environments (Apache Tomcat). Database administration (we work with MySQL and MongoDB with occasional Oracle and Microsoft SQL). Knowledge of Java/Node is beneficial. Testing of Infrastructure as Code. Knowledge of Crossplane. Comply365 operates a 24/7 on call rota More ❯

data integration patterns, ETL/ELT, and modern data architectures. Be familiar with CI/CD practices in a data engineering context. Have excellent SQL and Spark (PySpark) skills. Have obtained experience in working with large, complex datasets and performance optimization. Exhibit strong leadership and communication skills. Demonstrate previous experience More ❯

on scalable architectures. Required Skills & Experience Experience: 3-5 years of hands-on experience with big data tools and frameworks. Technical Skills: Proficiency in SQL, Python, and data pipeline tools such as Apache Kafka, Apache Spark, or AWS Glue. Problem-Solving: Strong analytical skills with the ability to troubleshoot and More ❯

the boundaries of what’s possible with data analytics. What You Bring 5+ years in a Senior Data Analyst/Scientist role. Expertise in SQL and at least one analytical programming language (Python preferred, R or Julia acceptable). Strong background in data modelling (dimensional modelling), warehousing, and transformation techniques. More ❯

business strategies and helping solve some of the most intriguing data problems out there. Key Requirements Strong analytical and problem-solving abilities Expertise in SQL (including writing and optimising complex queries) Proven experience in Database Administration, including working with procedures, scripts, and table views Solid hands-on experience with ETL More ❯

practices. Results-driven, with the capacity to meet strict deadlines and service level agreements (SLAs). Ideally, familiarity with workflow management tools like Airflow, SQL database management, Linux command-line interface, Microsoft Dynamics 365 Finance and Operations, and Power Apps. The Package: Basic annual salary up to £80,000 per More ❯

understand and communicate complex technical concepts. A high technical acumen including the ability to understand and use technologies such as Power Platform, Azure, C#, SQL, Python, Apex, etc. Excellent project management and organizational skills. Strong analytical and problem-solving skills, with the ability to interpret complex data and make data More ❯

governance frameworks. Work closely with various departments to gather requirements and ensure data solutions reflect real business needs. Key Experience Required: Deep expertise in SQL, Python, and Spark (particularly PySpark) for building and testing end-to-end pipelines in that process both structured and semi-structured datasets. Experience mentoring peers More ❯

and implement effective solutions. Required Skills Our ideal candidate will have: Commercial C# and .NET experience Experience with Entity Framework and LINQ Familiarity with SQL and query optimisation Experience in designing and implementing RESTful APIs Experience with version control systems (preferably Git) and associated CI/CD tooling Familiarity with More ❯

interface technologies and languages, e.g. ReactJs , AngularJs , Typescript , JavaScript , CSS , and HTML5 Experience with user interface testing technologies, e.g. Selenium and Cypress Proficient with SQL and querying relational databases Experience with using Terraform to provision and configure infrastructure Experience with deploying and maintaining production workloads on the AWS public cloud More ❯

performance cloud-based applications. Strong understanding of object-oriented programming principles and design patterns. Expertise in microservices architecture and event-driven systems. Proficiency in SQL and NoSQL databases, with a strong understanding of data modeling and query optimization. Strong understanding of software development life cycle (SDLC) and Agile methodologies. Preferred More ❯

efficient web apps. Work Across the Stack - Frontend (React, Vue, or Angular) & Backend (Node.js, Python, Java, .NET). Database & API Development - Design and maintain SQL & NoSQL databases and RESTful APIs. Deploy & Maintain - Use Docker, Kubernetes, AWS, or Azure for scalable deployments. Collaborate - Work closely with product teams to turn ideas More ❯

efficient web apps. Work Across the Stack - Frontend (React, Vue, or Angular) & Backend (Node.js, Python, Java, .NET). Database & API Development - Design and maintain SQL & NoSQL databases and RESTful APIs. Deploy & Maintain - Use Docker, Kubernetes, AWS, or Azure for scalable deployments. Collaborate - Work closely with product teams to turn ideas More ❯

DynamoDB). Familiarity with modern development practices, including Agile methodologies, CI/CD pipelines, and microservices architecture. Solid understanding of RESTful APIs, database management (SQL & NoSQL), and cloud-native development. Strong problem-solving skills and the ability to work independently as well as in a team. Excellent communication skills and More ❯

development: Working knowledge of MS Power Platform with knowledge of legal applications (such as Visualfiles, Intapp, etc) an advantage Database management: Strong knowledge of SQL and Python API development and integrations: Expertise in creating and consuming RESTful APIs, and experience with SOAP services. Familiarity utilising Azure technology (Azure Service Bus More ❯

AWS, Azure, Google Cloud) and cloud-native architectures. Experience with APIs, microservices, containerization (Docker, Kubernetes), and modern software development practices. Knowledge of database technologies (SQL, NoSQL) and data management best practices. Familiarity with DevOps practices, CI/CD pipelines, and automation tools. Soft Skills: Excellent communication skills, with the ability More ❯

ensure seamless integration of data solutions across the business. What you'll need to succeed To excel in this role, you should have: Advanced SQL skills with strong performance awareness Familiarity with Azure data tools (e.g., Data Factory) Python knowledge for data wrangling and automation tasks Experience with Power BI More ❯

functional team. What experience you’ll need to apply: Excellent experience as a Senior Data Engineer, with some experience mentoring others Excellent Python and SQL skills, with hands-on experience building pipelines in Spark (PySpark preferred) Experience with cloud platforms (AWS/Azure) Solid understanding of data architecture, modelling, and More ❯

crss functional team. What experience youll need to apply: Excellent experience as a Senior Data Engineer, with some experience mentoring others Excellent Python and SQL skills, with hands-on experience building pipelines in Spark (PySpark preferred) Experience with cloud platforms (AWS/Azure) Solid understanding of data architecture, modelling, and More ❯

and keeping key stakeholders informed. Are comfortable navigating uncertainty and helping shape solutions without needing a rigid roadmap. Technical Skills You have experience with SQL, Python, Snowflake, and Kafka or similar technologies. You have experience with databases such as MongoDB and Elasticsearch. You have experience integrating with business intelligence tools More ❯

Bitbucket & Jira Understanding of containerization and deployment concepts such as: o Docker o Kubernetes Experience of Data Storage applications, such as: o Mongo o SQL o DynamoDB o ElasticDB Experience with cloud services such as AWS, Azure or Google cloud Knowledge of Machine Learning and Artificial Intelligence applications More ❯

order to understand, translate, review and playback requirements and collaborate to develop Model Engineering solutions. Exposure to working with data sets through tools like SQL, JavaScript or Python Experience communicating unambiguously through multiple channels such as Presentations, Word Documents, workshops and meetings. Desirable Knowledge of Programming Language Design and Implementation. More ❯

accurate, consistent, and easy to access Support self-serve analytics, maintain documentation, and enhance data governance Essential Skills & Experience Strong BI development background with SQL and tools like Power BI, Tableau, or Looker Solid understanding of data modelling, warehousing, and ETL Experience with cloud platforms (Azure, AWS, or GCP) Confident More ❯