76 to 100 of 3,506 Permanent SQL Jobs

Manage large datasets using modern data lake platforms such as Amazon S3, Databricks, and Snowflake. Extract, clean, and transform data from relational and non-relational sources including PostgreSQL and SQL Server. Develop automated workflows and integrate MLOps tools such as MLFlow for tracking, versioning, and deployment of models. Leverage Jupyter Notebooks for data exploration, analysis, and cross-team collaboration. Apply … advanced deep learning techniques using frameworks such as FastAI to address complex problems. Program robust and efficient solutions using Python, R, SQL, Scala, or Java, and support additional scripting in languages such as Go or RUST when needed. Conduct statistical testing and hypothesis validation to uncover actionable insights and improve model accuracy. Create dynamic dashboards and visualizations using Power BI … more experience in data science, analytics, or a similar role with a strong record of delivering business impact through data. Strong proficiency in programming languages such as Python, R, SQL, Scala, or Java. Proven experience with big data frameworks and tools including Apache Spark, Hadoop, PostgreSQL, and SQL Server. Hands-on experience with cloud-based data lake platforms such as More ❯

formats, thereby promoting the sustainable use and further development of our Data Analytics Platform. What you can expect from us A hybrid data landscape with proven on-premise technologies (SQL Server, SSIS, SSAS, Power BI) and a modern Data Analytics Platform with technologies such as Databricks, dbt, Airflow, Azure Data Services, Terraform, GitHub, Python, and Fabric currently under development. A … bring A degree in business informatics, data engineering, data management or a comparable qualification. Several years of experience in data engineering, ideally with a focus on Databricks and Azure. (SQL Server, SSIS, SSAS, Power BI desirable) Initial practical experience in the development and operation of complex Data Platforms, including data integration, pipeline design, cloud and on-premise architectures, and close … collaboration with business departments to translate requirements into scalable technical solutions. Very good knowledge of SQL, Python, ETL design, dbt, Airflow. Experience with Infrastructure as Code (Terraform), CI/CD (GitHub), and monitoring (e.g., Datadog, Grafana, Prometheus). Understanding of data governance, Unity Catalog, cost monitoring, and metadata management are an advantage. Initial experience with Jira and Confluence is desirable. More ❯

formats, thereby promoting the sustainable use and further development of our Data Analytics Platform. What you can expect from us A hybrid data landscape with proven on-premise technologies (SQL Server, SSIS, SSAS, Power BI) and a modern Data Analytics Platform with technologies such as Databricks, dbt, Airflow, Azure Data Services, Terraform, GitHub, Python, and Fabric currently under development. A … bring A degree in business informatics, data engineering, data management or a comparable qualification. Several years of experience in data engineering, ideally with a focus on Databricks and Azure. (SQL Server, SSIS, SSAS, Power BI desirable) Initial practical experience in the development and operation of complex Data Platforms, including data integration, pipeline design, cloud and on-premise architectures, and close … collaboration with business departments to translate requirements into scalable technical solutions. Very good knowledge of SQL, Python, ETL design, dbt, Airflow. Experience with Infrastructure as Code (Terraform), CI/CD (GitHub), and monitoring (e.g., Datadog, Grafana, Prometheus). Understanding of data governance, Unity Catalog, cost monitoring, and metadata management are an advantage. Initial experience with Jira and Confluence is desirable. More ❯

formats, thereby promoting the sustainable use and further development of our Data Analytics Platform. What you can expect from us A hybrid data landscape with proven on-premise technologies (SQL Server, SSIS, SSAS, Power BI) and a modern Data Analytics Platform with technologies such as Databricks, dbt, Airflow, Azure Data Services, Terraform, GitHub, Python, and Fabric currently under development. A … bring A degree in business informatics, data engineering, data management or a comparable qualification. Several years of experience in data engineering, ideally with a focus on Databricks and Azure. (SQL Server, SSIS, SSAS, Power BI desirable) Initial practical experience in the development and operation of complex Data Platforms, including data integration, pipeline design, cloud and on-premise architectures, and close … collaboration with business departments to translate requirements into scalable technical solutions. Very good knowledge of SQL, Python, ETL design, dbt, Airflow. Experience with Infrastructure as Code (Terraform), CI/CD (GitHub), and monitoring (e.g., Datadog, Grafana, Prometheus). Understanding of data governance, Unity Catalog, cost monitoring, and metadata management are an advantage. Initial experience with Jira and Confluence is desirable. More ❯

Power BI and Power Platform tools. Ensure compliance with data governance policies, maintaining high standards of data quality, security and accessibility. Integrate data from diverse sources including SharePoint, Excel, SQL and cloud-based systems to create unified reporting solutions. Monitor Microsoft 365 updates and recommend enhancements or new capabilities to improve business intelligence and automation outcomes. Profile Qualifications and Work More ❯

Support the administration of the R/Python environment to include the data science packages Support the administration of the data science tools on the desktops (e.g. Programming IDEs, SQL editors, desktop clients for the tools above) Independently install, customize and integrate commercial software packages Integrate and deploy data science applications with the TSA program infrastructure and platforms Ensure regular … web-based notebook collaboration environment (e.g. JupyterLabs) Skills in setting up connections and interpreters to local file systems, external file systems, external databases, and programming languages such as Java, SQL, Python, and R Experience with performance troubleshooting of Python and R code in a notebook or data science toolkit environment o ETL Environment Administration experience with Informatica or similar ETL More ❯

Trials, Medical Devices, Pre-Clinical, Omics, Real World Data) utilizing the AWS technology platform. Create and optimize ETL/ELT processes for structured and unstructured data using Python, R, SQL, AWS services and other tools. Build and maintain data repositories using AWS S3 and FSx technologies. Establish data warehousing solutions using Amazon Redshift. Build and maintain standard data models. Own … be required to develop, deliver or support data literacy training across R&D. Required Knowledge, Skills and Abilities Expert knowledge of data engineering tools such as Python, R and SQL for data processing. Expert proficiency with AWS services particularly S3, Redshift, FSx, Glue, Lambda. Expert proficiency with relational databases. Strong background in data modeling and database design. Strong knowledge with More ❯

Trials, Medical Devices, Pre-Clinical, Omics, Real World Data) utilizing the AWS technology platform. Create and optimize ETL/ELT processes for structured and unstructured data using Python, R, SQL, AWS services and other tools. Build and maintain data repositories using AWS S3 and FSx technologies. Establish data warehousing solutions using Amazon Redshift. Build and maintain standard data models. Own … be required to develop, deliver or support data literacy training across R&D. Required Knowledge, Skills and Abilities Expert knowledge of data engineering tools such as Python, R and SQL for data processing. Expert proficiency with AWS services particularly S3, Redshift, FSx, Glue, Lambda. Expert proficiency with relational databases. Strong background in data modeling and database design. Strong knowledge with More ❯

Trials, Medical Devices, Pre-Clinical, Omics, Real World Data) utilizing the AWS technology platform. Create and optimize ETL/ELT processes for structured and unstructured data using Python, R, SQL, AWS services and other tools. Build and maintain data repositories using AWS S3 and FSx technologies. Establish data warehousing solutions using Amazon Redshift. Build and maintain standard data models. Own … be required to develop, deliver or support data literacy training across R&D. Required Knowledge, Skills and Abilities Expert knowledge of data engineering tools such as Python, R and SQL for data processing. Expert proficiency with AWS services particularly S3, Redshift, FSx, Glue, Lambda. Expert proficiency with relational databases. Strong background in data modeling and database design. Strong knowledge with More ❯

data into usable formats and support project team to scale, monitor, and operate data platforms TS/SCI clearance Bachelor's degree Nice If You Have: Experience with Python, SQL, Scala, or Java Experience with UNIX or Linux, including basic commands and Shell scripting Experience with a public cloud, including AWS, Micro sof t Azure, or Google Cloud Experience with More ❯

year of experience with in tools such as Oracle, Power BI, Crystal Reports, and Excel for building dashboards and reports (or Similar tools) 1 year of experience using SQL, Excel, and tools such as Elastic Stack, Tableau and/or Splunk. 1 year of experience with scripting and automation in JavaScript, REST/SOAP APIs, Python, PowerShell, or Bash for … and critical thinking skills, must be able to demonstrate success in applying these skills to the client/contract workspace. Possess a strong understanding of scripting & Query Languages including SQL for querying databases. Familiarity with the requirements of and tools used to support CDM (Continuous Diagnostics and Mitigation) in the federal government. Ability to communicate clearly and effectively via written More ❯

with cloud platforms such as Oracle Cloud Infrastructure (OCI) and Azure. Proficiency in version control and DevOps tools like GitHub, Git Actions, Jenkins, Terraform. Programming and Scripting skills in SQL, PL/SQL, Java, Python, Shell Scripting. Experience with data and reporting tools such as Oracle Analytics Cloud, Power BI, Tableau. Understanding of security and compliance standards including OAuth2, SAML More ❯

containerization (Kubernetes, Docker). Experience with OpenAI Hands-on experience with DevOps practices and CI/CD pipelines. Familiarity with distributed systems and microservices architecture. Knowledge of database systems (SQL and NoSQL). Excellent problem-solving, communication, and collaboration skills. Preferred Qualifications Experience with cloud platforms (AWS, Azure, GCP) and infrastructure as code (Terraform, Ansible). Experience with Retrieval-Augmented More ❯

lead role in data analytics, business intelligence or analytics engineering Significant experience in dashboard development and data visualisation experience using Tableau, presenting data insights clearly and persuasively Experience with SQL, Snowflake/other relational databases and dimensional data modelling Experience with DBT is desirable. Experience with Python for data analysis, ETL and automation. Experience working with large and complex data More ❯

through internal training programmes or approved external course. What experience do I need? Bachelor's degree in Business Analytics, Data Science, Statistics, or a related field. Database development skills (SQL, NoSQL, Progress, MariaDB, MongoDB). Knowledge of relational database concepts. Excellent communication skills, at all levels and experience with technical and non-technical audiences. Experience in understanding, gathering, and analysing More ❯

Proven experience in the energy trading sector, ideally with exposure to Natural Gas and Power markets, balancing mechanisms, and regulatory frameworks (e.g., REMIT, EMIR). Expert in Python and SQL; strong experience with data engineering libraries (e.g., Pandas, PySpark, Dask). Deep knowledge of ETL/ELT frameworks and orchestration tools (e.g., Airflow, Azure Data Factory, Dagster). Proficient in More ❯

driven Power Apps Expertise in creating and optimizing automated business processes with Power Automate (including RPA and cloud flows) Skills in data modelling and integration using Data verse, SharePoint, SQL, and Azure services Knowledge of custom connectors, APIs, and integrating Power Platform with external systems Proficiency in DAX, Power Query, and delivering advanced business intelligence dashboards in Power BI Experience More ❯

data modeling, data cataloging, and metadata management. Hands-on experience with cloud platforms like AWS or Azure, including relevant services like S3, EMR, Glue, Data Factory, etc. Proficiency in SQL and one or more programming languages (Python, Scala, or Java) for data manipulation and transformation. Knowledge of data security and privacy best practices, including data access controls, encryption, and data More ❯

priorities and deadlines Proven track record of leading analytics projects requiring experience with statistical models with an understanding of different statistical methods and approaches Expert level of proficiency in SQL, and at least one scripting language such as SAS, R, or Python Advanced level of proficiency with Data Visualisation/Dashboard tools (e.g., Power BI) Advanced experience in Machine Learning More ❯

/ML Engineer, or a similar role in the last 4 years, Experience in modern software architecture and software development related to data science, analytics, and AI, e.g., Python, SQL, R. Experience with machine learning and AI frameworks, using e.g., TensorFlow, PyTorch, scikit-learn, or other modern machine learning frameworks. Experience with planning, executing, and maintaining data science pipelines. Experience More ❯

its underlying principles Experience with cloud deployment and security patterns, including Snowflake, Azure, Fabric Entra, DBT Cloud, and data warehousing, and competency in a range of scripting languages (e.g. SQL, PowerShell, Python) Experience with Azure DevOps as a CI/CD platform and exposure to working in an agile environment Strong understanding of security concepts, including threat modelling, risk assessment More ❯

data science languages, including Python and R • 3+ years of experience retrieving, merging, and analyzing structured and unstructured data sources from APIs and databases, including through R, Python, or SQL • Experience designing and implementing scalable technologies such as streaming data transformation for joining, analyzing, and processing disparate data sets into features for predictive analytics. • Experience leading major technical efforts and More ❯

teams to optimize database architectures and contribute to the continuous improvement of infrastructure services. Key Responsibilities: Lead and manage database infrastructure services, including deployment, migration, and administration of databases (SQL, Oracle, PostgreSQL, etc.). Ensure high availability, security, and optimal performance of database environments. Support the development and execution of database infrastructure strategies and modernization projects. Monitor and maintain database … Required Qualifications: Bachelors degree in a relevant field (or equivalent experience). Experience in database administration, with at least 3 years in a senior DBA role. Strong expertise in SQL Server, Oracle, PostgreSQL, MySQL, or other enterprise databases. SQL is the main skill set we require. Experience in cloud database platforms (AWS RDS, Azure SQL, Google Cloud SQL). Hands More ❯

in the marketplace. The Data Management Technical Lead will be responsible for overseeing the implementation, administration, and optimization of our data management environment. This includes managing Azure cloud services, SQL Server databases, Apache Tomcat applications, and leveraging cutting-edge analytics tools like Power BI and Data Bricks. You will provide technical leadership to data engineering teams, optimize data pipelines, and … area. Key Responsibilities: • Lead the configuration, deployment, and administration of Azure cloud resources and services, ensuring optimal performance, scalability, and security. • Manage Azure Storage, Azure Data Lake, and Azure SQL Database for data storage and analysis needs. • Oversee Azure Active Directory and other Azure services to manage user access, security, and compliance. • Implement automation and scripting solutions for Azure resource … related field. • 7+ years of experience in data management, with at least 3+ years in a technical leadership or SME role. • Expertise in Azure Administration and management, including Azure SQL Database, Azure Data Lake, and Azure Storage. • Deep understanding of SQL Server/Database Administration, including performance tuning, backup strategies, and migrations. • Hands-on experience with Apache Tomcat for web More ❯

web layout design; as well as de-bugging and bug-fixes. You'll be working across the full stack Microsoft stack C# .Net Core, ASP.Net MVC, Entity Framework and SQL as well as using a range of web technologies including JavaScript and HTML/CSS. Key Responsibilities: Full Stack Development: Develop, test, and maintain both front-end and back-end … best practices. Conduct code reviews, provide feedback, and mentor junior developers when required. Design and implement RESTful APIs and services using ASP.NET Core. Ensure database performance and scalability with SQL Server and/or other database technologies. Implement responsive and user-friendly front-end interfaces using modern JavaScript and styling/CSS frameworks Ensure compatibility across different browsers and devices. … Strong experience with .NET technologies, particularly ASP.NET Core and C#. Proficiency with front-end technologies like HTML5, CSS3, JavaScript, and modern JS frameworks. Experience with relational databases such as SQL Server. Familiarity with cloud platforms (e.g., Azure, AWS) and DevOps practices. Experience with version control systems (e.g., Git). Ability to analyse and resolve complex technical issues. Strong debugging and More ❯