1 to 25 of 279 SQL Jobs in Manchester

frameworks. Experience in business process analysis from a data perspective. Prior experience in the energy sector (preferred but not required). Skills & Abilities Strong SQL skills and proficiency in tools like Microsoft Excel, Power BI, or Tableau. Familiarity with Python and cloud data platforms, especially Microsoft Azure. Strong understanding of More ❯

but also driven, collaborative, and solutions-focused. Experience & Knowledge: Proven experience building solutions with Power BI, Power Apps, and Power Automate Strong data modelling, SQL, and data warehousing knowledge Familiarity with Microsoft 365 and Azure environments Microsoft Power Platform certifications (or working towards them) Understanding of JavaScript, HTML, CSS (for More ❯

Need: Advanced skills in Power BI or Tableau Previous experience managing a small team Confident liasing with stakeholders and presenting to senior management Strong SQL and experience with ETL tools ( e.g. SSIS, DBT, AWS Glue) Solid understanding of data warehousing and data modelling principles Experience with modern platforms like Snowflake More ❯

travelling with the company. Experience with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP). Proficiency in SQL and experience with relational databases such as MySQL, PostgreSQL, or Oracle. Experience with big data technologies such as Hadoop, Spark, or Hive. Familiarity with data More ❯

with the latest Microsoft Power Platform innovations. Experience & Knowledge: Proven experience building solutions with Power BI, Power Apps, and Power Automate. Strong data modelling, SQL, and data warehousing knowledge. Familiarity with Microsoft 365 and Azure environments. Microsoft Power Platform certifications (or working towards them). Understanding of JavaScript, HTML, CSS More ❯

ETLs or data pipelines crucial to a production system. Experience working in a cross-functional team to deliver technical solutions. Desirable Skills: Experience with SQL Server, SSIS, Azure Data Factory, and Azure SQL. Experience with Cloud and Infrastructure as Code, particularly in an Azure setting using Bicep. Understanding of DevOps More ❯

and libraries like Pandas, NumPy, and Dask. Experience with data manipulation and processing frameworks (e.g., PySpark, Apache Beam). Strong knowledge of databases, including SQL and NoSQL (e.g., PostgreSQL, MongoDB). Familiarity with ETL processes and tools such as Airflow or Luigi. Experience with message brokers (e.g., RabbitMQ, Kafka) for More ❯

and maintaining CI/CD alm toolkit; Implementing Dynamics CRM Master Data Model using Azure Logic Apps and Power Automate. Desirable: Strong knowledge of SQL and data processing libraries like Pandas. Experience with Amazon Redshift or similar technologies. Knowledge of agile software development practices, and examples of providing leadership in More ❯

Analyst in large-scale IT or digital transformation programmes. Strong expertise in data management and analysis within a cross-functional, enterprise environment. Proficiency with SQL, relational databases, Microsoft Excel, and business intelligence tools (e.g., Power BI, Tableau). Solid understanding of data governance, master data management, and quality assurance. Experience More ❯

micro-services and Domain Driven Design), Cloud platforms (AWS and Azure), languages (Python, Java/Spring, Node.js and .NET), databases (PostgreSQL, MongoDB and MS SQL) and Continuous Integration/Delivery tools (GitHub, BitBucket, Jenkins, Terraform, Kubernetes, Docker, AWS Fargate and AWS CodeDeploy etc). As a Full Stack Software Engineer More ❯

analytics dashboards such as PowerBI/Tableau/Amplitude/Adobe Substantial experience with data warehouse platforms like Snowflake Substantial experience with languages like SQL, Python Substantial experience with python libraries such as NumPy, Pandas, SciPy, scikit-learn Applied knowledge of machine learning/statistical modelling techniques Experience in using More ❯

work-related experience. Experience in information security, in areas such as cybersecurity, metrics, analytics, forecasting and reporting, cybersecurity risk or governance. Understanding of Python, SQL databases, Windows Server, Azure services and Powershell. Understanding or experience in automation of scripts and pipelining processes. Basic understanding or experience working in Agile environments. More ❯

Requirements: Proven experience (5+ years) in a data science role, preferably in the retail or e-commerce sector. Strong proficiency in Python or R, SQL, and data visualisation tools (e.g., Power BI, Tableau). Hands-on experience with cloud platforms such as AWS, GCP, or Azure. Expertise in machine learning More ❯

Key skills: 3-5+ years in .NET (ASP.NET MVC, .NET Core, Entity Framework). Proficiency with React, JavaScript/TypeScript, HTML5, CSS. Strong SQL and database design experience. Expertise in designing and consuming Web APIs. Commitment to clean coding, SOLID principles, and design patterns. Strong time management, problem-solving More ❯

a dedicated careers coach and industry-leading training to ensure that you are able to reach your full potential. Requirements: Strong experience with both SQL and Python Prior experience designing solutions on the Databricks Data Intelligence platform, either on Azure or AWS Good knowledge of Databricks components including DeltaLake, Unity More ❯

liaison between the development team and senior management, communicating project status and challenges. Knowledge, Skills, and Experience Proficiency in C# .NET (Framework and Core), SQL/MySQL, and building web services. Knowledge of the latest ES standards and TypeScript is beneficial. Strong attention to detail, especially regarding UX/UI. More ❯

best practices in software development. Mentor Junior Developers and assist with their professional development. Knowledge, Skills and Experience Essential C# .NET (Framework and Core), SQL/MySQL building web services Enterprise level single page applications using HTML, CSS and JavaScript, and excellent and current knowledge and experience with Javascript frameworks More ❯

and proficiency with Spring Boot Solid coding and troubleshooting experience on Web Services and RESTful API Strong experience in messaging (IBM MQ preferred) Strong SQL skills to work on Relational databases Strong experience in SDLC, DevOps processes – CI/CD tools, Git, etc. Good understanding of monitoring tools such as More ❯

troubleshooting experience on Web Services and RESTful API br/li li Strong experience in messaging (IBM MQ preferred) br/li li Strong SQL skills to work on Relational databases br/li li Strong experience in SDLC, DevOps processes – CI/CD tools, Git, etc. br/li More ❯

data modeling, performance tuning, and security. Cloud Data Mastery: Strong background in cloud data warehousing (AWS, Azure, or GCP). Coding & DevOps: Proficiency in SQL, Python, CI/CD pipelines, and containerisation for data engineering solutions. Problem-Solving: Adept at resolving complex technical issues with a systematic approach. Collaboration & Communication More ❯

as Python, Shell, and other scripting languages to support DevOps and Quality Engineering work. Experience with building datastore solutions on at least one No-SQL(Elasticsearch) would be beneficial but not essential. Build automation tools to support CI/CD pipeline Strong Accessibility, Security, Performance and Caching coding Set yourself More ❯

of software architecture, object-oriented design principles, and data structures Experience in JavaScript/TypeScript and Cypress framework Experience in MySQL like databases and SQL Demonstrated ability to be proactive, self-driven, and make practical trade-offs based on business needs, and entrepreneurial spirit Excellent verbal and written communication skills More ❯

Time Data Management Systems (RTDMS). Strong experience with data migrations and relational database design. Technical skills in ETL, Python, Java, Database access modelling, SQL Optimisation, Low Code tools, AWS cloud. Knowledge of DevOps practices and tools (e.g., Docker, Kubernetes/EKS-based container orchestration). More ❯

Time Data Management Systems (RTDMS). Strong experience with data migrations and relational database design. Technical skills in ETL, Python, Java, Database access modelling, SQL Optimisation, Low Code tools, AWS cloud. Knowledge of DevOps practices and tools (e.g., Docker, Kubernetes/EKS-based container orchestration) In accordance with the Employment More ❯

model development, validation, implementation and documentation. Profile The successful Data Engineer should have: Proficiency in Big Data Modelling, ETL and Data warehousing. Proficient in SQL Snowflake Tableau Understanding of cloud services providers. Excellent problem-solving abilities and communication skills. An understanding of Python and Java would be advantageous but not More ❯