51 to 75 of 544 Remote SQL Jobs

SaaS environment. Strong expertise in data visualisation tools such as Tableau or Power BI. Experience with data integration and ETL processes. Proficiency in SQL and experience with data warehousing concepts. Familiarity with CRM (e.g., Salesforce) and IT Service Management (e.g., ServiceNow) data. Excellent communication and collaboration skills. Ability to work ...

solutions. Requirements Previous experience in a data analytics role. Hands-on experience delivering Power Apps, Power Automate and Dataverse solutions. Previous technical experience with SQL and Python. Desirable Proficiency with Power BI and Microsoft Fabric Experience on large-scale transformation programmes. Exposure to regulated industries such as utilities, the public ...

languages. Experience with frameworks such as React, Angular, Node.js, Spring Boot, or .NET. Strong understanding of REST APIs, databases, Git, and SDLC. Experience with SQL and/or NoSQL databases. Familiarity with AWS, Azure, or Google Cloud is a plus. Strong problem-solving and communication skills. Bachelor's degree ...

CRMs, case management, Point of Sale or stock control. You'll have a good understanding of databases, data quality, reporting and integrations. Knowledge of SQL, Power BI or APIs would be useful, alongside strong Microsoft 365 skills. Experience with Power Platform, Azure/Entra, Purview or Copilot would be advantageous. ...

CRMs, case management, Point of Sale or stock control. You'll have a good understanding of databases, data quality, reporting and integrations. Knowledge of SQL, Power BI or APIs would be useful, alongside strong Microsoft 365 skills. Experience with Power Platform, Azure/Entra, Purview or Copilot would be advantageous. ...

services to build and deploy cloud-based solutions, ensuring high availability and scalability. Database Management: Design, implement, and maintain database schemas, write complex SQL queries, and optimize database performance. Batch Processing: Develop and manage batch processing systems to handle large volumes of data efficiently. Code Quality: Ensure code quality through ...

services to build and deploy cloud-based solutions, ensuring high availability and scalability. Database Management:Design, implement, and maintain database schemas, write complex SQL queries, and optimize database performance. Batch Processing:Develop and manage batch processing systems to handle large volumes of data efficiently. Code Quality:Ensure code quality through ...

services to build and deploy cloud-based solutions, ensuring high availability and scalability. Database Management: Design, implement, and maintain database schemas, write complex SQL queries, and optimize database performance. Batch Processing: Develop and manage batch processing systems to handle large volumes of data efficiently. Code Quality: Ensure code quality through ...

variety of languages and frameworks, including but not limited to: Java, C#/.NET, Python, TypeScript, JavaScript, React, Go, Ruby, Scala, R, and SQL Leveraged AI-assistive development tools for tasks like scaffolding, refactoring, debugging, test generation, and documentation Experience building or integrating AI/ML-powered features into products ...

secure, scalable Data Engineering solutions. Experience of core MS Fabric features including: OneLake, Lakehouses, Warehouses, Data Pipelines, Dataflows, Gen2, Notebooks, Eventstreams + Eventhouses. Using SQL, T-SQL, Spark SQL, PySpark + Python for data ingestion, data transformation, data optimisation, data modelling, and converting structured/unstructured source data into validatd ...

platforms,lakehousesand data warehouses. Data modelling and dimensional modelling techniques such as Kimball. ETL/ELT development and large-scale data integration. PySpark, Spark SQL and modern transformation techniques. Advanced SQL and relational databases including SQL Server, PostgreSQL and Oracle. Integrating structured, semi-structured and unstructured data sources. Migration … modernisation of legacy platforms such as Oracle, SQL Server/SSIS or Synapse. Power BI semantic models, curated datasets and supporting analytics platforms. Data quality, governance, metadata management and lineage. Data security, classification and access control approaches. Automated testing, validation, reconciliation testing and performance optimisation. DataOps, CI/ ...

engineering, data engineering, software engineering, or a related technical discipline. Demonstrated success delivering production-grade solutions that drive measurable business value. Strong Python and SQL skills, with experience developing scalable data pipelines, APIs, and modern data architectures. Strong understanding of data governance, security, privacy, and responsible AI principles. Experience designing ...

Framework or comparable JVM backend frameworks; Pekko or Akka experience is highly relevant. • Strong understanding of relational databases, especially MySQL, with practical knowledge of SQL optimization, indexes, query profiling, and transaction behaviour. • Experience using Redis or similar technologies for caching, session handling, or performance-sensitive workloads. • Deep understanding ...

Data Engineering or a closely related discipline. Strong hands-on experience with modern cloud data platforms , managed databases, storage and orchestration services. Advanced SQL , database design and performance tuning skills. Experience with ETL/ELT pipelines, API integrations and automated data processes . Experience with Business Intelligence , including DAX, Power ...

strong technical background in processing location-based data and turning complex information into reliable, usable datasets. You'll ideally have experience with: Python and SQL , including building data pipelines and API integrations. PostgreSQL/PostGIS and spatial data modelling. GIS tools such as QGIS and geospatial libraries including GeoPandas, Shapely ...

/AWS Owning features end-to-end in a product team What Youll Need Strong C#/.NET Core/Web API experience Solid SQL/database skills Experience in modern Agile engineering teams Bonus: Azure, Microservices, React/Blazor, CI/CD Why Join? Product business build, not bill ...

Requirements Previous experience in Data Engineering, Analytics Engineering or Data Platform Engineering Strong data modelling, including conceptual, logical, physical and dimensional modelling Proficiency in SQL Previous technical experience with Snowflake and AWS Experience building and maintaining production data pipelines Good knowledge of data warehousing and modern data architectures Experience with ...

Data Engineer in an enterprise or government environment. Experience with Azure data services, such as Azure Data Factory, Databricks or Synapse. Strong SQL skills and experience developing data pipelines. Experience with Python or PySpark. Understanding of enterprise data integration, operational reporting and data governance. Experience working with service management ...

that are scalable, secure, governed and aligned with wider business objectives. Skills and Experience Strong experience designing and delivering enterprise-scale analytics solutions Excellent SQL skills Strong experience with Power BI Experience working with Microsoft Fabric and Azure Databricks Strong knowledge of dimensional modelling, semantic models and analytics data architecture ...

through to certified reporting datasets Requirements: Previous experience as a Senior or Lead Data Engineer with strong hands-on data modelling expertise Proficiency with SQL and Python skills Previous technical experience with Microsoft Fabric, Azure Synapse, Databricks and Snowflake Experience setting technical architecture and standards for both pipeline engineering ...

Produce technical documentation and support testing Work closely with stakeholders to deliver effective solutions Skills & Experience Strong experience with Microsoft Power Platform Knowledge of SQL and relational databases Experience with REST APIs and system integrations .NET/C# or object-oriented development experience Understanding of SDLC, testing, and version control ...

Data Engineering, with a focus on building and maintaining data platforms and pipelines rather than data analysis alone. Strong hands-on skills in Python, SQL and ETL/data pipeline technologies. Experience working with large-scale or complex datasets. Understanding of data modelling, pipeline orchestration and end-to-end data ...

Strong software engineering and system design background Experience delivering enterprise applications using AWS, Azure or GCP Strong engineering experience with technologies such as Python, SQL, Java, .NET or JavaScript Experience working with modern enterprise data technologies such as Snowflake and/or Databricks Good understanding of enterprise data platforms, data ...

such as Azure, AWS or GCP . Experience with Docker, Kubernetes and containerised deployments. Knowledge of job orchestration, workflow engines and message queues. Strong SQL and data integration experience. Experience building highly available, production-grade systems. Understanding of monitoring, observability and operational support. Strong stakeholder engagement and communication skills. Desirable ...

degree, Master's or PhD in Data Science, Mathematics, Operational Research, Physics, Statistics or a related discipline. Strong hands-on experience with Python, SQL, Excel and data visualisation. A track record of designing, developing and delivering analytical models. Experience using data and evidence to support business decisions across public ...