1 to 25 of 430 SQL Jobs in the Midlands

data warehousing data modeling and data integration principles. Proficiency in at least one scripting/programming language (e.g. Python Scala Java). Experience with SQL and NoSQL databases. Familiarity with data quality and data governance best practices. Strong analytical and problem-solving skills. Excellent communication interpersonal and presentation skills. Desired More ❯

one language (e.g. Java, Python, C#, Go). Experience with modern front-end technologies such as React. In-depth knowledge of relational and columnar SQL databases, including database design and performance optimization. Experience with industry standard frameworks and tools such as SpringBoot, DropWizard, Maven, Web/RESTful service development, etc. More ❯

one language (e.g. Java, Python, C#, Go). Experience with modern front-end technologies such as React. In-depth knowledge of relational and columnar SQL databases, including database design and performance optimization. Experience with industry standard frameworks and tools such as SpringBoot, DropWizard, Maven, Web/RESTful service development, etc. More ❯

one language (e.g. Java, Python, C#, Go). Experience with modern front-end technologies such as React. In-depth knowledge of relational and columnar SQL databases, including database design and performance optimization. Experience with industry standard frameworks and tools such as SpringBoot, DropWizard, Maven, Web/RESTful service development, etc. More ❯

Essential skills we would love you to have: Strong analytical experience in the use of MS Office Applications (Excel and Powerpoint), Programming Languages (Python, SQL, R) and Visualisation Tooks (such as Tableau and Power BI) Excellent communication skills with the ability to interpret complex data and translate this to business More ❯

best practices and emerging tools. YOU The ideal Data Analyst for Business Intelligence and Insights will have prior experience of: Strong technical skills in SQL, Excel, Power BI, DAX, and ideally Python or R. Experience with cloud data platforms such as Snowflake or Databricks. Deep understanding of databases , ETL frameworks More ❯

. Hands-on experience with modern data warehousing and transformation tool, Snowflake. Strong knowledge of data modelling, warehousing, and real-time analytics. Proficiency in SQL, Python, Java, or similar programming languages. Familiarity with big data technologies (e.g., Spark, Hadoop) and BI tools (e.g., Power BI, Tableau). Excellent problem-solving More ❯

solving skills with an eye for detail. Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams. Experience with SQL and database testing. Proactive mindset with a passion for continuous improvement in testing processes. Desirable Qualifications Experience working in cloud-based testing environments (AWS, Azure More ❯

environment. Exceptional analytical and problem-solving skills. Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams. Experience with SQL and database testing. Proactive attitude towards quality assurance and a passion for continuous improvement. Desirable Qualifications: Experience with cloud-based testing environments (AWS, Azure). More ❯

of experience in data analysis or a related field, preferably within a retail business environment. Strong proficiency in data analysis tools and software (e.g., SQL, Python, R, Excel) and visualization tools (e.g., Power BI, Tableau). Excellent quantitative and qualitative analytical skills with a solid attention to detail. Strong verbal More ❯

across the data platform. Knowledge, Skills and Experience: Essentia l Strong expertise in Databricks and Apache Spark for data engineering and analytics. Proficient in SQL and Python/PySpark for data transformation and analysis. Experience in data lakehouse development and Delta Lake optimisation. Experience with ETL/ELT processes for More ❯

tools, including Power BI, Fabric, Azure Synapse, and DAX Strong understanding of cloud-based BI architectures and services (e.g., Azure, AWS, GCP) Experience with SQL, DAX, and Power Query Understanding of modern data warehouse concepts and ETL/ELT workflows Full driver's licence and access to a vehicle Curious More ❯

Azure platform and PAAS environment Experience working with API endpoints and data mapping Working knowledge of scripting (either Python, .Net, C# or JavaScript) and SQL Experience of Waterfall and Agile delivery methodologies as well as the use of SCRUM framework The ability to communicate with, influence and manage stakeholders expectations. More ❯

with AWS services such as S3, Glue, Lambda, Redshift, DynamoDB, and Athena Proficiency in programming languages such as Python, Java, or Scala Experience with SQL and NoSQL databases Familiarity with data warehousing concepts, ETL processes, and data modeling Knowledge of data security, governance, and compliance best practices Strong problem-solving More ❯

engagement, and proposal development Experience in Data & AI architecture and solution design Experience working for a consultancy or agency Experience with data engineering tools (SQL, Python, Spark) Hands-on experience with cloud platforms (Azure, AWS, GCP) Hands-on experience with data platforms (Azure Synapse, Databricks, Snowflake) Ability to translate clients More ❯

in Scala programming language. Experience with Akka, Play Framework, or other Scala frameworks. Familiarity with build tools such as SBT. Knowledge of database systems (SQL and NoSQL) and experience with data modeling. Understanding of distributed computing principles. Familiarity with microservices architecture. Experience with version control systems, preferably Git. Excellent problem More ❯

reporting technology and market trends Eligibility Criteria You'll need to be able to demonstrate the following: Experience and Skills Strong technical skills including SQL, Python/R, and data visualisation tools. We are open to exploring and incorporating other relevant tools and technologies as needed Excellent communication skills with More ❯

Management, Data Science, Business Intelligence, or a related field (or equivalent experience). Relevant professional qualifications in Business Intelligence tools (e.g., Microsoft Power BI, SQL certification). Evidence of continuing professional development (e.g., courses in leadership, management, or technical expertise related to Data Science/Statistics). Desirable Postgraduate degree More ❯

tools like AWS (S3, Glue, Redshift, SageMaker) or other cloud platforms. Familiarity with Docker, Terraform, GitHub Actions, and Vault for managing secrets. Proficiency in SQL, Python, Spark, or Scala to work with data. Experience with databases used in Data Warehousing, Data Lakes, and Lakehouse setups, including both structured and unstructured 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 ❯

Essential requirements: Experience of one or more programming languages such as Python, R, and SQL. An understanding of database theory and design. Experience with SQL and NoSQL databases. Familiarity with big data technologies and ecosystems such as Microsoft Synapse/Fabric, Hadoop, Spark, Kafka, and others. Skills in machine learning More ❯

end-to-end work, pulling and cleaning data, creating dashboards in Power BI and presenting insights back to stakeholders. YOUR SKILLS AND EXPERIENCE • Advanced SQL skills • ETL experience (Azure Data Factory or SSIS preferred) • Strong data visualisation skills (ideally Power BI) • Proven ability to interpret and communicate data insights • Experience More ❯

accessibility, responsive design, and performance optimization Solid back-end development skills in Java, Spring Boot, JPA, and RESTful microservices Database proficiency , particularly with MS SQL Server Hands-on with test automation frameworks such as Cucumber, Selenium, and Jest Proficiency with CI/CD and DevOps tools (GitLab, Maven, Bitbucket, Nexus More ❯

C#/.Net NodeJS Web API Messaging ( Rabbit or Kafka) Kubernetes/Docker AWS/Azure GIT Terraform ORMs eg Entity Framework/NHibernate SQL Document DB REST SOLID TDD Agile/SCRUM Dev Ops CI/CD Experience Experience working as part of Scrum teams, working on green and More ❯

with a track record of working in growing data practices. Expertise in data architecture, data modelling, data analysis, and data migration. Strong knowledge of SQL, NoSQL, cloud-based databases (e.g., AWS Redshift, Snowflake, Google BigQuery, Azure Synapse). Experience in ETL development, data pipeline automation, and data integration strategies. Familiarity More ❯