1 to 25 of 42 SQL Jobs in Cardiff

and continuous learning and setting engineering standards Support the delivery of strategic projects Please refer to the attached job profile for more details. Key Skills, Knowledge and Experience: Advanced SQL and scripting skills (e.g., Python, TSQL, PowerShell) for data engineering, automation and orchestration tasks. Strong ability to define and implement modern enterprise data architectures, including data lakes, data warehouses, and … technical expertise. Deep expertise in cloud platforms such Azure and GCP Strong proficiency in data modelling, data warehousing, and ETL/ELT architecture at scale. Advanced programming skills in SQL and Python and a collaborative, CI/CD approach to pushing code; experience with orchestration and data pipeline tools. Experience with implementing data governance frameworks and ensuring compliance with regulatory … iterations Skills and Attributes Essential oExcellent technical skills and knowledge in Python/R, Power BI and Power Apps, Google Cloud Platform, cloud-to-on-prem engineering, Azure DevOps, SQL, SQL servers, SSMS and SSIS, dashboards, databases and visualisation, APIs, including understanding and application of good practice oAbility to demonstrate understanding and application of our workplace values, together with the More ❯

college, or equivalent knowledge and experience (Mathematics, Statistics, Operations Research and/or Data Science). Highly proficient in Microsoft Office tools including Excel and PowerPoint Proven experience with SQL Flexible and resilient to respond constructively to new challenges Self-starter able to operate autonomously with minimal guidance to consistently achieve high quality output Detail-oriented, while also constantly prioritizing More ❯

attention to detail and accuracy Qualification in Data Science, IT, Statistics, Maths, or similar Also Important Proven experience in a Data Analyst or similar role Hands-on skills with SQL, Power BI, DAX, Excel Experience working with NetSuite, Salesforce, or other Tier 1 systems (desirable) Comfortable with APIs, cloud storage (e.g. Azure), and data integration tools Solid documentation and process More ❯

integration (microservices) Multithreading & performance, Observability & Monitoring tools Enterprise Service Bus (WSO2, JCAPs, Fiorano, Biztalk, IBM Websphere) messaging Queues (Rabbit MQ, Active MQ, etc) Web Services, API, XML, XSLT, .Net, SQL, SOAP, REST Networking connectivity, TCP/UDP/sockets Containerised applications, Docker, Kubernetes CI/CD and DevOps tools, Agile, SDLC Experience in the following Apache Camel HL7 v 2.x More ❯

or machine learning models, ideally in AML, financial crime, or a related domain Experience working with large-scale, high-dimensional, and heavily imbalanced datasets Excellent skills in Python and SQL Solid understanding of classification algorithms such as gradient boosting decision trees, including pros and cons of different model architectures Strong feature engineering skills and experience in transforming raw data into More ❯

in: Unit testing (e.g. Jest, XUnit) Integration and E2E testing (e.g. Cypress) Proficient in Git and working with version control in collaborative teams. Desirable Skills and Experience Experience using SQL databases (bonus if using Entity Framework Core). Familiarity with Microsoft Dynamics CRM integration or case management systems. Understanding of Azure cloud infrastructure and deployment practices. Working knowledge of Docker More ❯

in: Unit testing (e.g. Jest, XUnit) Integration and E2E testing (e.g. Cypress) Proficient in Git and working with version control in collaborative teams. Desirable Skills and Experience Experience using SQL databases (bonus if using Entity Framework Core). Familiarity with Microsoft Dynamics CRM integration or case management systems. Understanding of Azure cloud infrastructure and deployment practices. Working knowledge of Docker More ❯

definitions across the data warehouse and Looker, communicate this with stakeholders Collaborate with the wider data team to help meet the business goals, including peer reviews Strong experience with SQL Experience with Python Strong experience with Looker or a Similar Business Intelligence (BI) Tool Good understanding and experience of DBT and applying data architecture principles such as dimensional modelling, to More ❯

Python and/or R a strong foundation in data manipulation and analysis (pandas, tidyverse) experience in version control systems (Git) and collaborative development practices an understanding of databases (SQL and/or NoSQL) and data architecture principles proficiency in data visualization and dashboard creation. About us What if you could make a real difference to the lives of patients 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 ❯

considerations to put in place. Passionate about making a positive difference in the workplace and beyond, with a knack for understanding the big picture through data. Experience of using SQL for data extraction, simple transformations and analysis. Testing experience. MLOps. Leadership skills. Great at talking data with anyone, from technical to non-technical audiences, and turning numbers into compelling stories More ❯

starting a career in coding? Apply now and one of our friendly advisors will be in touch. Keywords:Coding, programming, web developer, software developer, app developer, Trainee, PHP, HTML, SQL, CSS3, Java, Javascript, Python, C#, Trainee Web Developer More ❯

inFinance, Mathematics, or Statistics. Master's Degree Preferred 5+ years of experience in marketing or customer analytics. 1+ years in a lead or manager role preferred Strong fluency in SQL, Python (pandas, scikit-learn, or similar), and CRM experimentation. Experience with A/B testing frameworks, holdout design, and incrementality measurement. The essential duties and responsibilities described above are not More ❯

inFinance, Mathematics, or Statistics. Master's Degree Preferred 5+ years of experience in marketing or customer analytics. 1+ years in a lead or manager role preferred Strong fluency in SQL, Python (pandas, scikit-learn, or similar), and CRM experimentation. Experience with A/B testing frameworks, holdout design, and incrementality measurement. The essential duties and responsibilities described above are not 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 ❯

technical) Collaborate with the wider data team, contributing to best practice definitions with a focus on driving warehouse efficiencies and optimisation to reduce complexity and cost Strong experience with SQL Strong understanding and experience of DBT and applying data architecture principles such as dimensional modelling, to translate raw data into a structured format Strong experience with Looker or a Similar More ❯

existing systems, your problem-solving and technical expertise will be central to your success. What You'll Bring: Strong hands-on experience with C# and .NET development Proficiency in SQL and MySQL, with a good understanding of database management and reporting tools Familiarity with version control systems, particularly SVN A sharp eye for detail and a methodical approach to problem More ❯

least five of the following: Burp Suite, OWASP ZAP, Postman, OAuth2/OpenID Jenkins or Concourse CI/CD pipelines Unix/Linux systems AWS or similar cloud platform SQL/MongoDB/Oracle databases Static or dynamic application security testing tools (e.g. SonarQube, Checkmarx) Git or other version control systems Infrastructure-as-Code scanning tools Threat modelling and OWASP More ❯

and strong MS application skills, particularly excel Strong ability to interrogate data and discuss the implications of the outputs Experience of running Python models and programming skills such as SQL, Python (preferable but not required) Ability to work autonomously and collaboratively in a team with a flat structure and function well in a fast-paced, startup environment Interview Process: Interviewing More ❯

have experience with data analysis tools and techniques. You can effectively apply this knowledge to deliver analytical solutions that deliver business benefits. Examples of such tools include SPSS, SAS, SQL, R, and Python To help you succeed in this role, the following desirable criteria may be considered in the event of a tie between candidates: IT and mathematics: You can More ❯

with the wider data team to help meet the business goals, including peer reviews • Take ownership of a project end-to-end and manage priorities accordingly Strong experience with SQL Strong experience with dbt Experience working within the finance domain Self-starter with ability to think outside the box Good attention to detail Strong experience with Looker or a similar More ❯

in Windows and Linux environments. Ability to install and configure basic computer system hardware components and establish connections to local area networks and back-end processing systems. Experience with SQL DB queries to validate software recording proper data and ensure participant data ingested properly prior to testing. Experience in scripting. Experience with tracking software development using Jira or other similar More ❯

deep understanding of lending economics and have experience developing and deploying underwriting strategies and credit models. You have strong analytical and data capabilities, backed up by technical coding skills. SQL is a must-have, Python and Looker experience is a plus. You have a strong understanding of the regulations that apply to lending in the UK. You have track record More ❯

which are normally IT driven. We provide you with access to the following courses to ensure you are 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 ❯

of statistics A proficiency in python for data science skills Experience with cloud compute platforms, like GCP Experience deploying data science solutions is desirable but not essential Experience with SQL to work with data storage systems Knowledge of software engineering best practices such as version control, design patterns, project structures Able to explain technical ideas to technical and non-technical More ❯