1 to 25 of 448 Remote Part-Time SQL Jobs

exceptional reports Model business logic, extract key performance metrics, and create reusable data structures. Maintain data so that it remains available and usable,e.g. SQL (Basic, Advanced modelling, Efficient, Big Data and Programmatic) Support Data munging such as reshaping, aggregating, joining disparate sources, small-scale ETL, API interaction, and automation … Degree-level education in the relevant subject (e.g. finance, maths, physics, etc.) Other beneficial qualifications (e.g. MBA, CFA, etc.) Proficient in Structured Query Language (SQL), Critical Thinking, R or Python-Statistical Programming, Data Visualisation, Presentation Skills, Machine Learning & Data Science techniques, Econometrics Strong Data Mapping skills, knowledge of Data Warehousing … Cloud Computing platforms (ADLS Gen2), Microsoft Stack (Synapse, DataBricks, Fabric, Profisee), Azure Service Bus, Power BI, DeltaLake, Azure DevOps, Azure Monitor, Azure Data Factory, SQL Server, Azure DataLake Storage, Azure App service, Azure ML is a plus Languages: Python, SQL, T-SQL, SSIS DB: Azure SQL Database, Cosmos DB, NoSQL More ❯

including benefits such as private healthcare. Autoscribe Informatics is an Equal Opportunity Employer. Experience And Skills Good understanding of Relational Databases Structured Query Language (SQL) SQL Server Laboratory experience would be beneficial Crystal Reporting (Training will be given if necessary) Strong oral and written communication skills Strong customer facing skills More ❯

source control and CI/CD tools (Git, Azure DevOps, GitHub/GitLab) Skilled in multiple programming languages, ideally including: .Net (C#) PowerShell T-SQL Deep understanding of the software development lifecycle and Agile methodologies Proven experience in DevOps/SRE practices, CI/CD pipelines and Infrastructure as Code More ❯

and testing data pipelines. Experience with cloud-based data warehousing (BigQuery preferred). Hands-on experience with orchestration tools (preferably Airflow). Proficient in SQL and data modelling best practices. Experience with DBT or other modern data transformation frameworks. Ability to use a version control system (e.g. git) for code More ❯

and testing data pipelines. Experience with cloud-based data warehousing (BigQuery preferred). Hands-on experience with orchestration tools (preferably Airflow). Proficient in SQL and data modelling best practices. Experience with DBT or other modern data transformation frameworks. Ability to use a version control system (e.g. git) for code More ❯

practices regarding code quality, testing, observability, and operational stability. Ideal Candidate: Possesses 1.5+ years of practical data engineering experience. Has strong skills in Python, SQL, and PySpark. Experienced working with data lakes, warehouses, lakehouses, and cloud platforms, preferably Azure. Knowledgeable in data modelling, including Kimball and star schemas. Familiar with More ❯

years' experience with Power BI, DAX, Power Query 2+ years' experience with Power Automate or Logic Apps Strong data modelling, ETL/ELT, and SQL/database experience Familiarity with the software development lifecycle Excellent Excel and Microsoft Office skills Strong analytical, written, and interpersonal communication skills Ability to manage More ❯

Azure Data Factory and related Azure services. Hands-on experience with Power BI for creating and managing semantic models to enable business intelligence. Advanced SQL skills, with expertise in query optimization and complex data transformations. Excellent problem-solving and analytical skills, with the ability to work independently in a remote More ❯

processing and search technologies. An expert in Apache Lucene, Solr, Elasticsearch, if not you have the appetite to learn more. Hands on experience with SQL and NoSQL databases under your belt. Hold a degree in Computer Science/Software Engineering or equivalent experience. Familiar with writing automated tests and maintaining More ❯

to resolution Proficient in Microsoft Excel, Visio, and PowerPoint Knowledge, Skills, Experience and Qualifications - Desirable Experience with Power BI, Tableau and SharePoint Exposure to SQL, Python, R and Data Engineering Knowledge of data-related regulatory requirements Knowledge of emerging trends and issues within the Data Management landscape Experience working in More ❯

to resolution Proficient in Microsoft Excel, Visio, and PowerPoint Knowledge, Skills, Experience and Qualifications - Desirable Experience with Power BI, Tableau and SharePoint Exposure to SQL, Python, R and Data Engineering Knowledge of data-related regulatory requirements Knowledge of emerging trends and issues within the Data Management landscape Experience working in More ❯

and real influence on technical direction Perks include annual data conference trips, bonus, and private medical Your profile: Deep hands-on experience with Snowflake , SQL , and dbt Strong understanding of data orchestration tools like Airflow Cloud-first mindset (AWS preferred, Azure also welcome) Comfort with IaC (Terraform) , containers (Docker/ More ❯

in Microsoft Dynamics 365 development, including customisation, configuration, and integration. Proficiency in Power Platform (PowerApps, Power Automate) and CRM-related development tools. Knowledge of SQL, FetchXML, and data integration techniques. Understanding of security best practices and data protection regulations. Excellent communication and stakeholder management skills. Strong analytical skills and the More ❯

in Microsoft Dynamics 365 development, including customisation, configuration, and integration. Proficiency in Power Platform (PowerApps, Power Automate) and CRM-related development tools. Knowledge of SQL, FetchXML, and data integration techniques. Understanding of security best practices and data protection regulations. Excellent communication and stakeholder management skills. Strong analytical skills and the More ❯

or regulatory obligation as required by the role. What you can bring: Experience in working in the insurance industry, particularly in claims - beneficial Strong SQL skills and knowledge of VBA, R, Python a plus Expert knowledge of Excel, Word, and Access Team Player with good communication and presentation skills Strong More ❯

or regulatory obligation as required by the role. What you can bring: Experience in working in the insurance industry, particularly in claims - beneficial Strong SQL skills and knowledge of VBA, R, Python a plus Expert knowledge of Excel, Word, and Access Team Player with good communication and presentation skills Strong More ❯

serve analytical culture. What are the qualities that can help you thrive as a Data Engineer? Essential Experience and Qualifications: Experience and knowledge in SQL databases Strong experience in Data movement methodologies and standards, ELT & ETL. A self-motivated, enthusiastic problem solver, with the ability to work under pressure and More ❯

Spring or Spring Boot, Hibernate, and web services architecture, such as SOAP and/or REST, HTML5, CSS. Experience working with relational database and SQL commands. Proven experience in exploring new technologies to develop and deliver innovative solutions. Good conceptual, analytical, mathematical skills. Very good verbal and written communication skills. More ❯

Blob, Azure VMs, Azure LB, Azure ASG, Azure Serverless, Azure DB, Azure Container Instance, Kubernetes, and Docker. Software development experience, ideally in .NET stack. SQL skills to manage and interact with databases as part of the application deployment process. CI/CD Design, implement, and manage continuous integration and deployment More ❯

squad focused on delivering robust data solutions across our five businesses. You will leverage your deep expertise in traditional data engineering (database design, T-SQL) and Microsoft Azure's data services (Data Factory, Power BI, and pipelines) to address complex business challenges. We are looking for a candidate who can … business objectives The Person Essential: Minimum 5+ years of experience in designing and implementing data ETL processes and design Expert-level proficiency in T-SQL, SSIS, and the Microsoft data stack (SQL Server, Azure SQL Database) Proven proficiency in Azure Data Factory Proven experience in designing and implementing data models More ❯

Azure Proficiency in at least one back-end language (e.g., Node.js, C#, Golang), with experience designing and building RESTful APIs Experience working with both SQL and NoSQL databases, and familiarity with ORMs and migration tools Strong problem-solving skills, effective communication, and a collaborative mindset and test-driven approach (Unit More ❯

Azure Proficiency in at least one back-end language (e.g., Node.js, C#, Golang), with experience designing and building RESTful APIs Experience working with both SQL and NoSQL databases, and familiarity with ORMs and migration tools Strong problem-solving skills, effective communication, and a collaborative mindset and test-driven approach (Unit More ❯

operation and reporting. Provide support for business applications. Serve as a liaison between product vendors and internal users. Assist with analysis of data via SQL, Qube, Tableau, Hubspot and Excel. Perform systems analysis, business process analysis and design. Assist in writing technical specifications and user cases to meet business requirements. More ❯

operation and reporting. Provide support for business applications. Serve as a liaison between product vendors and internal users. Assist with analysis of data via SQL, Qube, Tableau, Hubspot and Excel. Perform systems analysis, business process analysis and design. Assist in writing technical specifications and user cases to meet business requirements. More ❯

Scikit-learn. Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization tools (Docker, Kubernetes). Knowledge of data pipelines, ETL processes, and databases (SQL and NoSQL). Understanding of SaaS architecture and experience building scalable, secure applications. Excellent problem-solving skills and the ability to work in a fast More ❯