16 of 16 Remote/Hybrid SQL Jobs in Sheffield

data engineering platforms Build and maintain robust ETL/ELT pipelines integrating large, complex datasets Work with structured, semi-structured, and unstructured data across SQL and NoSQL technologies Develop solutions using Hadoop, Spark, and Splunk in large-scale environments Write maintainable Python code, applying object-oriented and functional programming principles ...

Hadoop, Spark, and Splunk. Proficiency in object-oriented and functional scripting, particularly in Python. Skilled in handling raw, structured, semi-structured, and unstructured data (SQL and NoSQL). Experience integrating large, disparate datasets using modern tools and frameworks. Strong background in building and optimizing ETL/ELT data pipelines. Familiarity ...

Hadoop, Spark, and Splunk. Proficiency in object-oriented and functional scripting, particularly in Python. Skilled in handling raw, structured, semi-structured, and unstructured data (SQL and NoSQL). Experience integrating large, disparate datasets using modern tools and frameworks. Strong background in building and optimizing ETL/ELT data pipelines. Familiarity ...

Hadoop, Spark, and Splunk. Proficiency in object-oriented and functional scripting, particularly in Python. Skilled in handling raw, structured, semi-structured, and unstructured data (SQL and NoSQL). Experience integrating large, disparate datasets using modern tools and frameworks. Strong background in building and optimizing ETL/ELT data pipelines. Familiarity ...

Hadoop, Spark, and Splunk. Proficiency in object-oriented and functional scripting, particularly in Python. Skilled in handling raw, structured, semi-structured, and unstructured data (SQL and NoSQL). Experience integrating large, disparate datasets using modern tools and frameworks. Strong background in building and optimizing ETL/ELT data pipelines. Familiarity ...

understanding of creating reports from Dataverse, with particular emphasis on D365 data. Experience administering reports and workspaces in Power BI Service. Experience using SQL, Power Query and Data Analysis Expression (DAX). Proven track record in delivering application-based reporting solutions (dashboards). Experience in using Azure DevOps, JIRA ...

qualitative research methods. Experience of using appropriate statistical analysis software (e.g. R, Python, SPSS) to conduct different types of statistical analysis. Experience of SQL, Power BI or DAX or Excel to transform and analyse data is also desirable. Experience of supporting the design and delivery of high-quality analytical projects. ...

experience with Microsoft Fabric Experience building end-to-end Lakehouse solutions Good data modelling skills (e.g. star schema) Experience using PySpark or Spark SQL Building data pipelines from APIs, ERP or SaaS systems Working with Fabric pipelines, notebooks and Dataflows Understanding of data governance and security Able to work independently ...

Tech Stack Youll Work With Languages & Frameworks: C#, .NET Core, ASP.NET Core MVC, Web API Cloud & Data: Azure Functions, Azure Storage, Cosmos DB, Azure SQL UI & Front-End: WPF, Blazor, SignalR, Skia DevOps & Integration: Azure DevOps, CI/CD pipelines, B2B Web APIs Key Responsibilities Lead the design and development ...

small, capable team You wont just be delivering features; youll be setting direction. The tech youll work with Core:Azure, Databricks, Python, SQL, dbt, MQTT Storage & Serving:Delta Lake, Postgres, TimescaleDB Modelling & ML:MLflow Visualisation:Grafana What makes you a great fit Youre someone who can zoom out to architecture ...

following skills and experience: Deep expertise with Azure Databricks, including development, deployment, and platform-level engineering. Strong software engineering capability across Pyspark, Spark SQL and Azure Data Factory. Solid understanding of DevOps practices including CI/CD and automated testing. Experience with monitoring, logging, and alerting solutions. Ability to work ...

Confluence for documentation. Work closely with Analysts and the wider Data & Analytics team on shared development frameworks. What Were Looking For Essential Skills Advanced SQL and strong understanding of relational database design. Proven experience with Azure Data Factory, including parameterised pipelines. Experience with Azure Functions, particularly Python. Strong understanding ...

Developing and maintaining back-end services using Node.js Building clean, user-friendly front-end components with React.js Working with TypeScript and SQL to build reliable APIs and data flows Learning from a talented engineering team who value clean code, testing, and continuous improvement Contributing to new features across both ...

.NET Developer, .NET 10.0, C# 14 - Digital Download Site – Sheffield (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, Azure DevOps, Agile, Blazor, JavaScript, React, Multithreading, RESTful, ML.NET, Azure AI, Programmer, Full Stack Engineer ...

products and services that meet business needs. Key Responsibilities: Co-lead the design and architecture of on-premises DBaaS solutions for Postgres, MongoDB, and SQL Server, and work with teams to implement these solutions. Develop and maintain the long-term strategy for database infrastructure, ensuring alignment with CLIENT … risk-related engineering matters. Identify opportunities to improve and automate processes. Experience and Qualifications: Strong technical proficiency in database technologies (relational, NoSQL, distributed SQL) deployed on IaaS or as part of DBaaS, with an understanding of consumer use cases and infrastructure capabilities. Proven experience leading large, enterprise-level engineering projects ...

products and services that meet business needs. Key Responsibilities: Co-lead the design and architecture of on-premises DBaaS solutions for Postgres, MongoDB, and SQL Server, and work with teams to implement these solutions. Develop and maintain the long-term strategy for database infrastructure, ensuring alignment with CLIENT … risk-related engineering matters. Identify opportunities to improve and automate processes. Experience and Qualifications: Strong technical proficiency in database technologies (relational, NoSQL, distributed SQL) deployed on IaaS or as part of DBaaS, with an understanding of consumer use cases and infrastructure capabilities. Proven experience leading large, enterprise-level engineering projects ...