326 to 350 of 8,281 SQL Jobs

expertise in Bl tools (e.g. Power BI, Tableau, QlikView) and data visualisation. CIMA Qualified Preferred · Proficiency in financial modelling and analysis tools, including Excel, SQL, and data warehousing platforms. · Familiarity with ERP systems (e.g., SAP, Oracle) and financial software integration. Key Competencies · Analytical mindset with a strong ability to interpret More ❯

software is a plus but is not essential. Key Responsibilities Co-designing and coordinating a sprint programme towards actualising ESG consultancy SaaS MVP; Specifying SQL and/or NoSQL/vector database architectures and schemas and working with the Head of Data - Digital Transformation Lead to align these with the More ❯

Science, Data Science, Engineering, or related technical field. 5+ years of experience in data engineering, ETL processes, and pipeline development. Strong proficiency in Python, SQL, and data processing frameworks. Experience designing, building, and optimizing data pipelines for large-scale data processing. Proven ability to perform advanced data analysis, including: Statistical More ❯

understanding of and recent programming experience in C#/.Net or other object-oriented languages such as Java, Python or C++. Experience working with SQL databases. Azure or AWS experience. A strong enthusiasm for programming and technology with an appetite to work in a dynamic and integrated team. An entrepreneurial More ❯

understanding of and recent programming experience in C#/.Net or other object-oriented languages such as Java, Python or C++. Experience working with SQL databases. Azure or AWS experience. A strong enthusiasm for programming and technology with an appetite to work in a dynamic and integrated team. An entrepreneurial More ❯

understanding of and recent programming experience in C#/.Net or other object-oriented languages such as Java, Python or C++. Experience working with SQL databases. Azure or AWS experience. A strong enthusiasm for programming and technology with an appetite to work in a dynamic and integrated team. An entrepreneurial More ❯

Research, Mathematics or other business/analytical disciplines or equivalent - Demonstrable relevant professional experience as a Business Analyst, Data Analyst, or related - Proficiency in SQL and/or Python, Microsoft Excel, and statistical analysis tools - Excellent written and oral communication skills in English, including the ability to communicate across business More ❯

work in a highly pressurised environment and be comfortable travelling abroad Experience of data analytics technologies, such as Python , Tableau , Power BI , R , and SQL Educated to degree level, ideally in a STEM related field; however, other candidates with a strong analytical background in an unrelated field may be considered More ❯

similar tools. Experience with data modeling, warehousing and building ETL pipelines. Experience in Statistical Analysis packages such as R, SAS and Matlab. Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling. Experience in the data/BI space. More ❯

other possible benefits as provided. Benefits are subject to change with or without notice. Senior Operations Analyst Responsibilities Include: Proficiency in tools like Excel, SQL, or Python for cleaning, manipulating, and transforming data. Understanding of statistical concepts and methods to analyze data and draw meaningful conclusions. Ability to create clear More ❯

and delivering clear technical explanations to both technical and non-technical stakeholders. Nice to have skills: Solid experience working with .NET, C#, JavaScript, and SQL, with a proven track record of developing and maintaining high-quality, scalable, and efficient applications and systems using these technologies. Strong understanding of Azure services More ❯

role with working knowledge of information systems ideally in the insurance industry. Strong knowledge of MS Office tools (Excel, Outlook, Word, PowerPoint), VBA and SQL required. Intermediate knowledge of Power BI, R and Python ideal. Strong problem-solving and communication skills. Strong organization skills and ability to multitask, adapt and More ❯

in a data engineering role including ETL development, database development, data integration, data mining, big data. REQUIRED SKILLS • Strong experience developing and maintaining complex SQL for ETL and reporting • Strong experience with large complex data systems • Experience performing database administration tasks (managing scheduled jobs, cluster configurations) • Experience performing software administration More ❯

and delivering clear technical explanations to both technical and non-technical stakeholders. Nice to have skills: Solid experience working with .NET, C#, JavaScript, and SQL, with a proven track record of developing and maintaining high-quality, scalable, and efficient applications and systems using these technologies. Strong understanding of Azure services More ❯

new or maintaining existing software applications in a software product development environment. Proficiency required in one or more of the following: .Net and C#, SQL, JavaScript or JavaScript Web Frameworks (e.g. Angular), ASP.Net MVC. Proficiency with the Microsoft Visual Studio IDE and the use of Azure DevOps or Jira. Experienced More ❯

services and solutions. Expertise in Azure DevOps and GitHub Actions. Familiarity with Databricks CLI and Databricks Job Bundle. Strong programming skills in Python and SQL; familiarity with Scala is a plus. Solid understanding of AI/ML algorithms, model training, evaluation (including hyperparameter tuning), deployment, monitoring, and governance. Experience in More ❯

services and solutions. Expertise in Azure DevOps and GitHub Actions. Familiarity with Databricks CLI and Databricks Job Bundle. Strong programming skills in Python and SQL; familiarity with Scala is a plus. Solid understanding of AI/ML algorithms, model training, evaluation (including hyperparameter tuning), deployment, monitoring, and governance. Experience in More ❯

Entity Models and building Marklogic data hubs. Proficiency with Unix/Shell scripting. In-depth experience with Java and data processing, manipulation, or querying (SQL or NoSQL). Proficiency in common Agile practices, service-oriented environments, and development practices. Extensive experience in the software development lifecycle, particularly within DevOps toolsets More ❯

services and solutions. Expertise in Azure DevOps and GitHub Actions. Familiarity with Databricks CLI and Databricks Job Bundle. Strong programming skills in Python and SQL; familiarity with Scala is a plus. Solid understanding of AI/ML algorithms, model training, evaluation (including hyperparameter tuning), deployment, monitoring, and governance. Experience in More ❯

cloud platforms (AWS, Azure) and modern DevOps tools Experience with version control tools (Git and building CI/CD pipelines) Familiarity with database technologies (SQL, NoSQL) Solid understanding of designing and developing RESTful APIs or microservices Experience We will assess you against the following technical skills at application and assessment More ❯

GCP) . Ability to simulate attack scenarios and conduct penetration testing on applications and infrastructure. Knowledge of database security testing , including writing security-focused SQL queries. Familiarity with identity and access management (IAM), RBAC, MFA, JWT authentication, and OAuth 2.0 security mechanisms . Strong risk assessment, problem-solving, and communication More ❯

data quality principles and requirements Required Platform and Coding Skills Proficiency with the following: Dashboarding tools such as Looker Studio, Looker, or Power BI SQL for data querying and manipulation Excel or Google Sheets for data analysis and reporting Experience coding in Python or Javascript Experience with BigQuery or similar 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 ❯

experience in software development/engineering, computer science, computer engineering, mathematics, or a related discipline. Advanced proficiency in data analysis and visualization tools (e.g., SQL, Tableau, Power BI). Deep understanding of software development life cycle (SDLC) and various testing methodologies. Experience with automated testing tools and frameworks, including scripting More ❯

APIs using FastAPI, Flask or similar. A solid understanding of microservices architecture, event-driven systems, and service-oriented design patterns. In-depth knowledge of SQL databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB) for data management and optimization. Extensive experience with cloud platforms such as AWS including services for More ❯