376 to 400 of 4,746 Permanent SQL Jobs

Support self-service analytics through Power BI and QlikSense Implement best practices for data modelling, governance, and optimisation What You'll Bring Experience with ETL/ELT development and SQL/Python scripting Hands-on knowledge of Snowflake and cloud data platforms (Azure, AWS, or GCP) Understanding of data modelling , automation , and BI tools A collaborative, problem-solving mindset and More ❯

in Azure Databricks ,Informatica Powercenter, IICS, Cognos, Netezza Performance servers Experience working within Azure ecosystem Experienced in any of these analytical platforms - PowerBI, AzureML, Databricks or Synapse Proficient in SQL Experience using Python or Scala. Experience in Azure DevOps and Github is preferred Ability to effectively work well with people in other departments and/or outside of the enterprise. More ❯

software development environment. Hands-on experience with Selenium or equivalent automation frameworks. Programming skills in Java or Python for writing test scripts. Familiarity with testing applications built on MS SQL, ASP.NET, and C# . Strong understanding of the software development and testing lifecycles. Experience in project estimation, risk management, and test planning. Excellent communication, analytical, and problem-solving skills. A More ❯

software development environment. Hands-on experience with Selenium or equivalent automation frameworks. Programming skills in Java or Python for writing test scripts. Familiarity with testing applications built on MS SQL, ASP.NET, and C# . Strong understanding of the software development and testing lifecycles. Experience in project estimation, risk management, and test planning. Excellent communication, analytical, and problem-solving skills. A More ❯

reviews, sprint planning, code reviews, and knowledge sharing. Requirements: Strong experience in backend systems and technologies, such as .NET 8 or 9, C# or Golang etc Experience in various SQL dialects, including MySQL, MSSQL, PostgreSQL Familiarity with Redis, ElasticSearch and REST APIs Experience with Windows-based development: services, scheduled tasks, web servers (e.g. IIS) Experience with containers such as Docker More ❯

Experience in AI solution integration and API development (REST, GraphQL). Hands-on experience with Azure cloud services, including Azure OpenAI, AKS, and Azure Container Apps. Strong knowledge of SQL and NoSQL databases (Azure Cosmos DB, PostgreSQL) and cloud storage. Familiarity with microservices, event-driven architecture, and containerization (Docker, Kubernetes). Experience with CI/CD pipelines, Terraform, Azure DevOps More ❯

platforms (Azure, AWS or GCP). Desirable: Background in recruitment or professional services. Knowledge of CRM/ATS systems and their integration with MDM platforms. Experience with Power BI, SQL or Python for data validation and reporting. Exposure to Microsoft Fabric. What's on Offer A genuine opportunity to build and own the organisation's MDM vision from the ground More ❯

platforms (Azure, AWS or GCP). Desirable: Background in recruitment or professional services. Knowledge of CRM/ATS systems and their integration with MDM platforms. Experience with Power BI, SQL or Python for data validation and reporting. Exposure to Microsoft Fabric. What's on Offer A genuine opportunity to build and own the organisation's MDM vision from the ground More ❯

Azure/AWS or significant on-premise design experience. 5+ years in data engineering or business intelligence roles. Extensive ETL and data pipeline design experience, technology agnostic. Proficiency in SQL and experience with data engineering coding languages such as Python, R, or Spark. Understanding of data warehouse and data lake principles. Experience with data visualisation tools such as PowerBI or More ❯

machine learning algorithms, model evaluation metrics, optimization techniques, and statistical analysis techniques. Demonstrated ability to implement, validate, and improve supervised and unsupervised learning models. Excellent knowledge of Excel, Python, SQL, and database systems. Familiarity with machine learning frameworks such as TensorFlow, PyTorch, scikit-learn, or related frameworks. Experience in evaluation metrics, model selection, and validation techniques such as cross-validation 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 ❯

a plus/• Working knowledge of CRM’s interoperability capability with MS Office, MS Office 365, SharePoint, Azure and MS BI Stack • C#/VB.net, ADO.Net, XML, T/SQL, JQuery, JavaScript, Web Services, ASP.NET, and Silverlight skills • Experience in leading a Team • PowerApps Preferred • Planning and Prioritization skills • Experience in capturing requirements related to internal/external consulting, documenting More ❯

a plus/• Working knowledge of CRM’s interoperability capability with MS Office, MS Office 365, SharePoint, Azure and MS BI Stack • C#/VB.net, ADO.Net, XML, T/SQL, JQuery, JavaScript, Web Services, ASP.NET, and Silverlight skills • Experience in leading a Team • PowerApps Preferred • Planning and Prioritization skills • Experience in capturing requirements related to internal/external consulting, documenting More ❯

to turn data into something powerful. You’ll bring: 3+ years’ experience in data engineering or cloud platform development (including Azure, AWS, GCP, Snowflake or Databricks) Strong proficiency in SQL and Python. Proven experience with CI/CD tools, DevOps, and automation practices. Experience of taking a ML Model to production. Solid understanding of data modelling, orchestration, and workflow management. More ❯

to turn data into something powerful. You’ll bring: 3+ years’ experience in data engineering or cloud platform development (including Azure, AWS, GCP, Snowflake or Databricks) Strong proficiency in SQL and Python. Proven experience with CI/CD tools, DevOps, and automation practices. Experience of taking a ML Model to production. Solid understanding of data modelling, orchestration, and workflow management. More ❯

in data science, analytics, or applied machine learning. Strong coding ability in Python (or equivalent), with familiarity across cloud platforms (AWS, Azure, or GCP). Understanding of database technologies (SQL and NoSQL). Experience with CI/CD pipelines, software engineering best practice, and modern development workflows. Excellent communication and interpersonal skills — able to influence, advise, and collaborate effectively. Evidence More ❯

in data science, analytics, or applied machine learning. Strong coding ability in Python (or equivalent), with familiarity across cloud platforms (AWS, Azure, or GCP). Understanding of database technologies (SQL and NoSQL). Experience with CI/CD pipelines, software engineering best practice, and modern development workflows. Excellent communication and interpersonal skills — able to influence, advise, and collaborate effectively. Evidence More ❯

to turn data into something powerful. You'll bring: 3+ years' experience in data engineering or cloud platform development (including Azure, AWS, GCP, Snowflake or Databricks) Strong proficiency in SQL and Python. Proven experience with CI/CD tools, DevOps, and automation practices. Solid understanding of data modelling, orchestration, and workflow management. A desire to lead by example and elevate More ❯

who can improve best practises Proficiency with Python and extensive experience with frameworks such as FastAPI, Django, Flask or Supabase Knowledge of relational databases such as Postgres Expertise in SQL and familiarity with ORM frameworks such as SQLAlchemy Proven commercial experience building and maintain features with Javascript, Typescript, React and a keen interest in UI/UX Familiarity with cloud More ❯

with a data warehousing solution preferrably Snowflake. Excellent data modelling and analytics techniques preferrably dbt (for transforming raw data into meaningful insights within modern data warehouses) Strong Python and SQL coding skills. JavaScript is a plus but not required. Experience implementing development best practices including writing automated testing and CI/CD deployment. Responsibilities : Build and maintain reliable data pipelines More ❯

with a data warehousing solution preferrably Snowflake. Excellent data modelling and analytics techniques preferrably dbt (for transforming raw data into meaningful insights within modern data warehouses) Strong Python and SQL coding skills. JavaScript is a plus but not required. Experience implementing development best practices including writing automated testing and CI/CD deployment. Responsibilities : Build and maintain reliable data pipelines More ❯

as technical and analytical counterparts to define constraints and develop requirements and concept of operations documentation. Knowledge of cloud technologies ( e.g. AWS, Azure) Knowledge of database technologies (e.g. cloud, SQL, Oracle, Mongo DB, PostgreSQL, etc.) Fundamental knowledge of software engineers' best practices, agile methodologies, CI/CD pipelines Knowledge of test-first practices including Test-Driven Development (TDD) for unit More ❯

and implementing row-level security in BusinessObjects. It would also be desirable to have experience developing custom BI products that require knowledge of scripting languages and programming languages like SQL, R, and Python. The BusinessObjects XI Developer/Analyst should be familiar with business intelligence and data analytics. They should have prior knowledge of data integration, data warehousing, modeling, business More ❯

and implementing row-level security in BusinessObjects. It would also be desirable to have experience developing custom BI products that require knowledge of scripting languages and programming languages like SQL, R, and Python. The BusinessObjects XI Developer/Analyst should be familiar with business intelligence and data analytics. They should have prior knowledge of data integration, data warehousing, modeling, business More ❯