1 to 25 of 540 SQL Jobs in the South West

Cloud Platforms: Experience with Azure, AWS, or Google Cloud for data engineering. Cloud Data Tools: Expertise in Databricks, Snowflake, BigQuery, or Synapse Analytics. Programming & Scripting: Strong knowledge of Python, SQL, Spark, or similar. Data Modelling & Warehousing: Experience with cloud-based data architecture. CI/CD & DevOps: Knowledge of Terraform, GitHub Actions, Docker, Kubernetes. Agile & Collaboration: Ability to work in agile More ❯

AWS, or Google Cloud for data engineering. Cloud-Based Data Tools: Expertise in Databricks, Snowflake, BigQuery, or Synapse Analytics for scalable data solutions. Programming & Scripting: Strong knowledge of Python, SQL, Spark, or equivalent cloud technologies. Data Modelling & Warehousing: Experience with modern cloud-based data architecture and methodologies. CI/CD & DevOps: Understanding of Terraform, GitHub Actions, Docker, Kubernetes in cloud More ❯

AWS, or Google Cloud for data engineering. Cloud-Based Data Tools: Expertise in Databricks, Snowflake, BigQuery, or Synapse Analytics for scalable data solutions. Programming & Scripting: Strong knowledge of Python, SQL, Spark, or equivalent cloud technologies. Data Modelling & Warehousing: Experience with modern cloud-based data architecture and methodologies. CI/CD & DevOps: Understanding of Terraform, GitHub Actions, Docker, Kubernetes in cloud More ❯

Experience Experience with Dotnet Frameworks, microservices, and cloud platforms like Azure and AWS. Proficiency in C#, .NET Core, and related technologies. Understanding of system design, data structures, and databases (SQL Server, Oracle, NoSQL). Knowledge of AWS services such as EC2, Lambda, RDS, DynamoDB, S3, Redis. Skills in SQL programming, performance optimization, and test automation. Experience with CI/CD More ❯

modern data engineering and reporting. Including storage, data pipelines to ingest and transform data, and querying & reporting of analytical data. You've worked with technologies such as Python, Spark, SQL, Pyspark, PowerBI etc. You’ve got a background in software engineering, including Front End technologies like JavaScript. You’re a problem-solver, pragmatically exploring options and finding effective solutions. An More ❯

dives to understand trends and variances Provide insight to support the Bad Debt Transformation programme, recommending improvements and tracking impact Support the transition to a data lake, creating new SQL-driven reporting tools and maintaining strong data governance Work closely with stakeholders to promote data-driven decision-making within the Income function Act as a subject matter expert in credit … role As a Data Analyst, you will: At least 3 years' experience in a data analytics role, turning data into real-world results and driving smarter business decisions Strong SQL skills - confident in writing efficient queries and building clear, reliable reports Great with Excel and other Microsoft Office tools to support everyday analysis and communication A natural collaborator - able to More ❯

and support internal users to 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 analytical and problem-solving skills. More ❯

include: Use IBM’s Design Thinking to create products that provide a great user experience along with high performance, security, quality, and stability. Work with relational and NoSQL databases (SQL, Postgres, DB2, MongoDB), operating systems (Linux, Windows, iOS, Android), and modern UI frameworks (Backbone.js, AngularJS, React.js, Ember.js, Bootstrap, JQuery). Design, develop, and support high quality and scalable products across … products. Preferred Education Bachelor's Degree Key Responsibilities Required technical and professional expertise Design, develop, and deploy applications on Azure, utilizing services like Azure App Services, Azure Functions, Azure SQL Database, etc. Collaborate with product managers and stakeholders to define, design, and ship new features. Ensure application performance, quality, and security. Work with DevOps to manage, deploy, and monitor Azure More ❯

prioritize data-driven strategies. We are seeking a Data Engineer to lead the development, maintenance, support, and integration of our expanding array of data sources into both on-premises SQL data warehouses and modern Lakehouse architectures hosted on Azure. This role is integral to our Reporting & BI ecosystem, as it supports our Commercial, Operational, and Finance functions through robust, scalable … to build their own reports and dashboards by enhancing data accessibility and developing self-service capabilities About you: Data Warehouse Expertise: Extensive experience in maintaining and optimizing on-premises SQL Server data warehouses, focusing on stored procedures, indexing, partitioning, and load performance. A proven track record in designing and building data warehouses using Kimball methodologies, dimensional modeling, star schema design … Factory, and Logic Apps Microsoft Fabric: Hands-on experience with Microsoft Fabric or similar modern cloud platforms, with a strong focus on data migration strategies and ETL development Advanced SQL & Python: Proficiency in writing advanced SQL queries, stored procedures, and Python scripts for data manipulation, pipeline development, and automation ETL & Data Pipelines: Experience with ETL tools (both on-prem like More ❯

business. Empower stakeholders to build their own reports and dashboards by enhancing data accessibility and developing self-service capabilities. Required Background Extensive experience in maintaining and optimising on-premises SQL Server data warehouses, focusing on stored procedures, indexing, partitioning, and load performance. An understanding of Azure cloud tools such as Azure Synapse Analytics, Azure Data Lake, Azure Data Factory, and … Logic Apps Proficiency in writing advanced SQL queries, stored procedures, and Python scripts for data manipulation, pipeline development, and automation Experience with ETL tools (both on-prem like SSIS, and cloud-based like Azure Data Factory) for creating, optimising, and maintaining data pipelines Skilled in Power BI Premium, including data modelling, DAX, performance tuning, and advanced reporting features like composite More ❯

Oracle, Snowflake databases or similar Knowledge of ELT tools e.g. ODI or similar technology Strong knowledge of data management principles, database systems, and data warehousing concepts. Detailed knowledge of SQL, writing clear, concise and performant SQL queries. Proficiency in business intelligence tools and technologies (e.g., OAS, Power BI). Excellent communication and interpersonal skills, with the ability to effectively collaborate More ❯

validation rules. What They’re Looking For: * Experience in a data-focused role, with a strong passion for working with data and delivering value to stakeholders. * Strong proficiency in SQL, Python, and Apache Spark, with hands-on experience using these technologies in a production environment. * Experience with Databricks and Microsoft Azure is highly desirable. * Financial Services experience is a plus More ❯

Experience with energy data providers and onboarding data to platforms and APIs Hands-on experience with AWS services such as S3, Lambda, EC2 Knowledge of relational databases like MS SQL Translate business requirements into technical designs and improve existing solutions Ensure operational aspects like high availability, monitoring, security, robustness Excellent verbal and written communication in English We value passion, willingness More ❯

replication, disaster recovery, and seamless integration within our cloud-native microservice ecosystem. Responsibilities: Design & Develop Database Solutions: Architect, design, and implement highly optimized relational (e.g., MySQL, PostgreSQL, AWS Aurora, SQL Server) and NoSQL (e.g., MongoDB, DynamoDB, Redis) database schemas, ensuring data integrity, performance, and scalability for microservices. Performance Optimization & Tuning: Proactively analyze and optimize complex queries, implement efficient indexing strategies … Skills/Experience: 6+ years in roles directly responsible for the availability, performance, and security of critical databases. Expertise in Database Technologies: Strong command of MySQL, PostgreSQL, AWS Aurora, SQL Server and experience with MongoDB, DynamoDB, or Redis, including schema design and complex query writing. Database Performance & Scalability: Proven ability in query optimization (e.g., EXPLAIN plans), operating system optimization, advanced … and implementing partitioning/sharding and caching (Redis). Cloud Database Operations: Hands-on experience deploying, managing, and optimizing databases within AWS infrastructure (RDS, Aurora) and virtual machine infrastructure (SQL Server). Database Reliability & Security: Experience with high availability (replication, failover), backup automation, PITR, and data security (encryption, SQL injection prevention). Automation & DevOps: Proficiency in integrating database changes into More ❯

development using Informatica (PowerCenter and/or IICS). Strong understanding of data warehousing concepts , data modelling (dimensional/star schema), and data integration patterns. Hands-on experience with SQL and relational databases (e.g., Oracle, SQL Server, PostgreSQL). Familiarity with AWS data services such as S3, Redshift, Glue, EMR, Lambda, or RDS . Knowledge of scripting languages (e.g., Python More ❯

modern data engineering and reporting. Including storage, data pipelines to ingest and transform data, and querying & reporting of analytical data. You've worked with technologies such as Python, Spark, SQL, Pyspark, PowerBI etc. You’ve got a background in software engineering. You’re a problem-solver, pragmatically exploring options and finding effective solutions. An understanding of how to design and More ❯

or more of the following platforms: Microsoft Fabric, Azure Synapse Analytics and Azure Databricks, and experience in some of the supporting data technologies like Power BI, Microsoft Purview, Azure SQL Database, Azure Cosmos DB, Azure Data Lake, etc. Azure: Understand core Azure infrastructure concepts and tools (Networks, Identify/Entra, ARM, BICEP, Terraform, etc). You don’t need to More ❯

team. You will be responsible for designing, building, optimising and supporting the data-driven solutions within our products and across the organisation. You should have in-depth knowledge of SQL databases (Microsoft or Postgres), and be familiar with dimensional modelling, star schema design and ETL processes. You will have the opportunity to be part of our strategic plan to incorporate … and an excellent communicator. Skills, experience and behaviours The following skills and experience are essential: ◦ Proven experience as a data engineer (or similar) in an Agile environment ◦ Experience of SQL database systems and data warehousing, focusing on stored procedures, indexing, partitioning and load performance ◦ Experience of ETL, dimensional modelling and star schema solutions ◦ Technical expertise with data models, data mining More ❯

team. You will be responsible for designing, building, optimising and supporting the data-driven solutions within our products and across the organisation. You should have in-depth knowledge of SQL databases (Microsoft or Postgres), and be familiar with dimensional modelling, star schema design and ETL processes. You will have the opportunity to be part of our strategic plan to incorporate … and an excellent communicator. Skills, experience and behaviours The following skills and experience are essential: ◦ Proven experience as a data engineer (or similar) in an Agile environment ◦ Experience of SQL database systems and data warehousing, focusing on stored procedures, indexing, partitioning and load performance ◦ Experience of ETL, dimensional modelling and star schema solutions ◦ Technical expertise with data models, data mining More ❯

Power BI, Excel). Knowledge of supply chain processes, inventory management, and production planning. Excellent communication and problem-solving skills. Experience in working with large datasets and familiarity with SQL or Python is a plus. Preferred Qualifications Experience in an engineering or manufacturing environment. Certification in APICS CPIM (Certified in Production and Inventory Management) or CSCP (Certified Supply Chain Professional More ❯

Microsoft Dataverse. Experience configuring and deploying Dynamics 365 applications. Experience with Power Apps Test Studio or other Power Platform testing solutions. Experience in configuring and using other data stores (SQL/SharePoint/Lists). Experience developing and deploying Microsoft Teams Apps. Experience with Azure DevOps (or similar tools) for CI/CD and backlog/progress tracking. Experience with More ❯

BI or other data visualisation tools with a strong grasp of visual communication. Strong problem-solving abilities and analytical thinking. Effective communicator, engaging across various business functions. Experience with SQL, Python, R, database design, and ETL processes – Desirable. Qualifications for the Business Intelligence Engineer Passion for or interest in a Business Intelligence Engineer role, ideally with a degree or equivalent More ❯

complex data sets and generate actionable insights to drive business results. Proficiency in data visualisation tools such as Power BI, Looker Studio, Tableau, or similar. Good working knowledge of SQL and DAX queries Good knowledge of digital optimisation platforms such as Microsoft Clarity, and Datadog Proficiency in AB testing tools like Sitespect (or similar such as Optimizely, AB Tasty, Adobe More ❯

t-tests, ANOVA) & design of experiments Segmentation/clustering techniques Time series analysis Familiarity with a broad base of analytics tools (one or more of the following): Data Management: SQL and Alteryx BI: Tableau Desktop, Tableau Server and Tableau Online Programming/Scripting: Python or R Extensive experience in applied analytics for business problem solving with strong project management skills More ❯

experience and strength in data visualisation and storytelling - able to communicate complexity in a straightforward and visually engaging manner, creating a compelling narrative. - Proficiency in analytical tools such as SQL, Python, R. - Proficiency in data visualisation platforms (e.g. Tableau or Power BI). - Excellent communication and presentation skills, confident verbally and in writing. - Strong relationship management skills, able to build More ❯