1 to 25 of 36 SQL Jobs in Cardiff

either with Python or Pyspark. Strong hands-on experience with Python Deep understanding of data test concepts, primarily inclined towards ETL. Hands-on with ETL/DWH testing and SQL (any RDBMS). Hands-on experience with any DB (preferably Oracle), including ability to read/understand/alter stored procedures. Strong experience in BDD with Cucumber or similar framework. More ❯

Hands-on experience with Data Testing either with Python or Pyspark. Deep understanding of data test concepts primarily inclined towards ETL. Previous experience with ETL/DWH testing and SQL (any RDBMS). Proficiency with any DB, preferably Oracle, and should be able to read, understand, and alter stored procedures. Strong experience in BDD with Cucumber or similar framework. Experience More ❯

Hands-on experience with Data Testing either with Python or Pyspark. Deep understanding of data test concepts primarily inclined towards ETL. Previous experience with ETL/DWH testing and SQL (any RDBMS). Proficiency with any DB, preferably Oracle, and should be able to read, understand, and alter stored procedures. Strong experience in BDD with Cucumber or similar framework. Experience More ❯

teams to support advanced analytics and machine learning initiatives. The skills you’ll need: Extensive experience designing and building large-scale data pipelines and ETL processes. Strong proficiency in SQL and Python. Deep understanding of data modelling, warehousing, and performance optimisation. Proven experience with cloud platforms (AWS, Azure, or GCP) and their data services. Hands-on experience with big data More ❯

teams to support advanced analytics and machine learning initiatives. The skills you'll need: Extensive experience designing and building large-scale data pipelines and ETL processes. Strong proficiency in SQL and Python. Deep understanding of data modelling, warehousing, and performance optimisation. Proven experience with cloud platforms (AWS, Azure, or GCP) and their data services. Hands-on experience with big data More ❯

and minimal downtime. Automate data ingestion, transformation, and validation processes. Stay up to date with emerging technologies and recommend system improvements. The skills you’ll need: Strong proficiency in SQL and experience with relational databases. Hands-on experience building data pipelines and ETL processes. Proficiency in Python. Experience with cloud platforms (AWS, Azure, or GCP). Knowledge of data modelling More ❯

and minimal downtime. Automate data ingestion, transformation, and validation processes. Stay up to date with emerging technologies and recommend system improvements. The skills you'll need: Strong proficiency in SQL and experience with relational databases. Hands-on experience building data pipelines and ETL processes. Proficiency in Python. Experience with cloud platforms (AWS, Azure, or GCP). Knowledge of data modelling More ❯

environments. Strong programming skills with the ability to write clean, scalable, and maintainable code. Proficiency in modern JavaScript/TypeScript and Node.js; our primary stack includes React, Node.js, Python, SQL databases and DynamoDB. Experience with cloud platforms (AWS, Azure, or GCP) and containerization technologies like Docker. Familiarity with CI/CD practices and tools (GitHub Actions, Jenkins, GitLab CI, or More ❯

environments. Strong programming skills with the ability to write clean, scalable, and maintainable code. Proficiency in modern JavaScript/TypeScript and Node.js; our primary stack includes React, Node.js, Python, SQL databases and DynamoDB. Experience with cloud platforms (AWS, Azure, or GCP) and containerization technologies like Docker. Familiarity with CI/CD practices and tools (GitHub Actions, Jenkins, GitLab CI, or More ❯

continue to grow, the demand for qualified entry-level professionals is on the rise. With our Data Analytics career programme we will provide you with: 8 training modules: Excel, SQL, Python, R, Tableau, Power BI, CompTIA Data+ & Azure AI Fundamentals 3 official examinations: Microsoft Power BI Data Analyst, CompTIA Data+, & Microsoft Azure AI Fundamentals 100+ hours of live instructor-led More ❯

finance products is desirable. Tools Youll Use Experience with the following tools is beneficial: Excel for data manipulation and performance tracking. Power BI for dashboard creation and KPI visualisation. SQL for querying and extracting data. Google Analytics for monitoring digital engagement. Figma for collaborating on UI/UX design. Everyone is different. Everyone is valued As part of our vision More ❯

or internship involving AI or machine learning Understanding of neural networks, NLP, or computer vision concepts Experience using Jupyter notebooks, Git, or cloud platforms (AWS, GCP, Azure) Knowledge of SQL or data wrangling techniques What You’ll Gain Real-World Experience : Work on live AI projects with real business impact Structured Learning : Receive training and mentoring in AI tools, techniques More ❯

experience with Java (ideally using Spring Boot or Hibernate ) 1+ years of experience with C#/.NET Core Solid understanding of object-oriented programming and design principles Experience with SQL databases and Git Strong problem-solving skills and a proactive mindset Great communication and teamwork — you’ll be working closely with both clients and internal teams ⭐ Nice to Have Experience More ❯

experience with Java (ideally using Spring Boot or Hibernate ) 1+ years of experience with C#/.NET Core Solid understanding of object-oriented programming and design principles Experience with SQL databases and Git Strong problem-solving skills and a proactive mindset Great communication and teamwork - you'll be working closely with both clients and internal teams Nice to Have Experience More ❯

experience with Java (ideally using Spring Boot or Hibernate ) 1+ years of experience with C#/.NET Core Solid understanding of object-oriented programming and design principles Experience with SQL databases and Git Strong problem-solving skills and a proactive mindset Great communication and teamwork you ll be working closely with both clients and internal teams Nice to Have Experience More ❯

skills (at a glance) 3-7+ years experience as a Software/Senior Engineer Experience developing REST APIs with Java (preferably Java 8+) and Spring Boot Knowledge of SQL Databases Experience working with modern Continuous Integration tooling such as Jenkins Experience with version control systems such as Git Experience with automated unit and integration testing Key Responsibilities (at a More ❯

use, into securing and governing environments). Bring depth to a modern language such as Node.js, C#, or Java (currently use serverless architecture using Node.js and React). Understand SQL at a solid level, with broader experience across NoSQL and data pipeline design. Have experience with distributed systems or progressive web applications. Think carefully about problems, explore alternatives, and can More ❯

use, into securing and governing environments). Bring depth to a modern language such as Node.js, C#, or Java (currently use serverless architecture using Node.js and React). Understand SQL at a solid level, with broader experience across NoSQL and data pipeline design. Have experience with distributed systems or progressive web applications. Think carefully about problems, explore alternatives, and can More ❯

driven. Therefore, we will provide 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 many analysts. Learn Tableau - Tableu More ❯

evolving business You're familiar with using a variety of Data Science tools (from business intelligence, experimentation and causal inference through to machine learning), and coding languages (Python and SQL). You know when to pick the right tool, and can help others do the same You know how to build confidence with senior leaders across the business You have More ❯

driven. Therefore, we will provide 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 many analysts. Learn Tableau - Tableu More ❯

projects (defect detection, QA, data grading) Collaborating across backend, frontend, data and security. Tech environment Python/Node, React AWS serverless architecture (Lambda, EC2, S3, CloudFormation, Bedrock), DynamoDB/SQL Event-driven architecture, CI/CD pipelines, Automated testing (Cypress/Playwright) Experience needed Proven experience as a Software Engineer Solid knowledge of at least one core language (Python or More ❯

projects (defect detection, QA, data grading) Collaborating across backend, frontend, data and security. Tech environment Python/Node, React AWS serverless architecture (Lambda, EC2, S3, CloudFormation, Bedrock), DynamoDB/SQL Event-driven architecture, CI/CD pipelines, Automated testing (Cypress/Playwright) Experience needed Proven experience as a Software Engineer Solid knowledge of at least one core language (Python or More ❯

per month. The Programme Complete this 10-week online training with just 10-15 hours per week of study time. You'll learn industry-standard tools, including Excel, SQL, Python, and Power BI, while building a professional portfolio with workplace projects. The programme includes earning BCS and CompTIA certifications recognised by UK employers, expert tutor support throughout your studies, and More ❯

datasets. Lead internal development requirements, supporting analysts and data teams. Mentor and oversee junior team members (graduate/apprentice) - but this role is more technical than managerial. REQUIREMENTS Strong SQL skills and experience working with large datasets. Hands-on experience with Azure and Databricks . Background in consumer services, insurance, or similar data-rich industries desirable. Interview Process Technical test. More ❯