1 to 25 of 61 Permanent SQL Jobs in Leeds

for a Senior Engineer to join our growing team. Day to Day You'll Be: Develop, maintain, and enhance Business Intelligence Solutions, including database systems and Data Warehouses, using SQL Server 2017, Integration Services, Analysis Services, Reporting Services and Master Data Management, Microsoft Excel, Power BI, Fabric as appropriate. Produce and run unit tests to ensure high quality of all … track record years of experience working in a business intelligence, data engineering or data related field. Must have a passion for programming and data analytics Advanced knowledge of T-SQL, SQL Server, and SQL Server Integration Services (SSIS). Advanced level familiarity with BI technologies (e.g., Power BI, SSAS, SSRS). Advanced experience using automated testing (e. g SQL Server … Experience with PowerBI Experience in data warehouse design (e.g., dimensional modelling) Experience with cloud technologies and Python would be considered as advantage. Commercial experience of Business Intelligence development using SQL Server 2017 and higher version, SSDT Including IS/AS/RS, stored procedures, views, and functions Experience of SQL Server 2017 Analysis Services (Tabular) PowerPivot Experience of writing unit More ❯

Microsoft Power Platform, Power Automate, and Copilot Studio. Solid understanding of automation technologies and their practical implementation at scale. Strong command of data visualisation tools (e.g. Power BI) and SQL-based analysis. Experience working in Agile delivery environments, balancing speed with quality. The following Microsoft certifications would be a plus: Power Platform Functional Consultant Azure Enterprise Data Analyst Power BI More ❯

Opportunity to transition into a leadership role, supporting the development of junior team members. Key Skills & Experience: 5+ years of experience in Azure (ADF, Data Lake, Synapse). Strong SQL skills for data integration and reporting. Experience with Power BI for visualization and analytics. Familiarity with Python (preferred but not currently in use, planned for future projects). Knowledge of More ❯

public. The Data Capture and Ingestion (DCI) team plays a pivotal role in supporting over 50 DfE data collections developed using diverse and modern tech stack including C# .Net, SQL, Angular, JavaScript, Microsoft Dynamics 365, Microsoft SharePoint 365, Oracle Intelligent Advisor, and Granicus GovService. Our work ranges from creating simple one-page forms to architecting complex financial data collection systems. More ❯

A STEM degree or equivalent experience. Experience in business intelligence roles, including dashboard/report creation of varying complexity with visualization and analytical using tools like Power BI. MS SQL experience and knowledge & understanding of DAX. Experience of Agile delivery. Experience of PowerApps, Power Automate, machine learning, and Microsoft Fabric. What's in it for You: Enjoy hybrid working with More ❯

using Power BI Supporting and evolving data solutions post-deployment Requirements: Proven experience in Data Engineering or Data Warehouse Development Strong hands-on skills with Azure data tools and SQL/Python Knowledge of medallion lakehouse design and large-scale data integration Experience with Power BI, SSIS, SSAS, SSRS, and data modelling Ability to write complex queries, stored procedures, and More ❯

with clear, actionable recommendations. Communicating performance updates and risks clearly and consistently. Responding quickly to changing demands and supporting multiple stakeholders. What Youll Bring Strong skills in Power BI , SQL , and data modelling . Experience in data transformation , interrogation , and wrangling . A problem-solving mindset and a love for data. Excellent communication and stakeholder management skills. Knowledge of Power More ❯

8+ years' experience in Java development (commercial) Strong expertise in Spring/Spring Boot Solid experience with Hibernate Desirable Skills: Python or R - exposure to data or ML integration SQL - for data management and optimisation JavaScript - for front-end collaboration Grails - nice to have, not essential Environment & Tools: Cloud: AWS/Azure DevOps: Git, CI/CD, Docker, Kubernetes Agile More ❯

What We're Looking For: Proven experience in C# and .NET for Back End development Proven experience of AWS Serverless services ( Lambda, API Gateway, DynamoDB, S3, FarGate, EventBridge etc.) SQL expertise, including database design and query optimization Knowledge of DevOps practices and CI/CD pipelines. Strong experience with Docker Proficiency with Git and automated deployment strategies. Ability to work More ❯

the stack. Skills & Experience Required: Strong experience with Java, Spring Boot , and RESTful APIs. Proficiency in front-end frameworks such as React, Angular, or Vue.js. Good understanding of databases (SQL and NoSQL). Familiarity with CI/CD pipelines, cloud platforms (AWS/Azure), and containerisation (Docker, Kubernetes) is highly desirable. Strong problem-solving and communication skills. Experience working in More ❯

establishing and maintaining best practices for data governance, security, and reliability. What we’re looking for: 5+ years’ experience in data engineering and cloud infrastructure Expertise in Python (PySpark), SQL, and dbt (or similar) Strong DevOps skills: Terraform, Docker, CI/CD, monitoring/logging tools AWS experience: S3, ECS/Fargate, RDS, Lambda Data warehousing experience (PostgreSQL or similar More ❯

Collaborate closely with front-end teams working with React, Vue.js, or vanilla JS, ensuring smooth integration between client and server layers. Design and optimise relational database schemas, write efficient SQL, and maintain data integrity across systems. Build and manage cloud-native applications using AWS services, employing Terraform for provisioning and automation. Contribute to DevOps practices, including Docker containerisation and serverless More ❯

on expertise with AWS data services (e.g., S3, Glue, Lambda, Redshift, Athena, EMR). Experience building data lakes and modern data platforms from the ground up. Proficiency with Python, SQL, and orchestration tools such as Airflow or dbt. Strong understanding of data modelling, ETL/ELT processes, and distributed systems. Knowledge of data security, governance, and compliance best practices. Excellent More ❯

Experience Computer-related degree or equivalent commercial experience. 5+ years' commercial experience in full stack development. Strong expertise with React and TypeScript . Solid experience with Java, Spring, and SQL (Hibernate). Familiarity with modern front-end tooling, testing, and state management (Redux, React Query). Personal Attributes Strong problem-solving and analytical skills. Excellent communication and collaboration ability. Proactive More ❯

with others and challenge in a cross-functional environment Proven track record in data analytics providing insight as well as recommendations Strong experience of using Azure/Databricks Advanced SQL skills Ability to interpret user requirements to design & build effective solutions. Strong analytical and problem- solving abilities Ability to mentor less experienced colleagues And in return, you'll get the More ❯

expertise as an AI Engineer, with a track record of leading initiatives and deploying effective machine learning solutions. Proficiency in Python and libraries, plus tools like Pandas, NumPy, and SQL, is essential. Experience defining value-driven AI strategies and guiding teams on best practices is required, along with knowledge of software principles, API development, CI/CD, and AI in More ❯

a HR focused Data Analyst or similar role Previous experience with Dayforce (or any other HR/People System Proven experience with reporting tools such as Power BI, Tableau, SQL Solid experience in using Excel Understanding of data governance, compliance and regulatory reporting (pay, GDPR etc) Benefits include : 25 Days Holiday + Bank Holidays with an option to Buy/ More ❯

driven. Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu More ❯

driven. Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu More ❯

the existing reporting landscape and data utilisation processes to facilitate the transition towards enhanced automation and robustness in data and reporting solutions. Advanced proficiency in BI tools, data visualization, SQL, and data modelling. Skilled in data governance, quality frameworks, and cloud-based platforms (Azure, AWS). Proven team leadership and development experience. Effective communication and stakeholder engagement at all levels. More ❯

datagovernance,securityandarchitecture . Buildingandoptimisingpipelinesacrosscloudandon-premiseenvironments. Collaboratingwithstakeholders,engineers,andanalyststodeliverintegratedsolutions. Ensuringconsistencyacrosstransactionalandanalyticaldatasystems. Contributingtothedevelopmentof datalakes,datawarehouses,anddistributedstorageenvironments . Mentoringjuniorengineers,embeddingbestpracticeacrosstheteam. Whatwerelookingfor 5+yearsexperiencein DataEngineering ,withstrongexpertisein Azuredataservicesand/orMicrosoftFabric . Proventrackrecorddesigningscalableplatformsandmanaginglargecloud-basedecosystems. Proficiencyin Python,PySpark,SQL,NoSQL andframeworkssuchas Databricks . Solidexperiencewith ETL/ELTdesign,orchestrationandoptimisation . Knowledgeof datagovernance,privacyregulations,andsecuritybestpractices . Strongexperienceintegratingrelational,NoSQL,andstreamingdatasources. CompetenceinCI/CDpipelinesandGit-basedworkflows. Experiencewithmodernarchitecturesincluding datamesh,event-drivenprocessing,andstreamingplatforms(Kafka/EventHub More ❯

with cross-functional teams to deliver scalable analytics solutions Help shape architectural decisions and improve data model governance YOUR SKILLS AND EXPERIENCE: A successful Analytics Engineer will bring: Strong SQL skills and hands-on experience with dbt (or similar tools) Experience designing as well as building data models Exposure to Snowflake and/or data pipeline tools Understanding of testing More ❯

Technology, or a related field. Minimum of 3 years’ experience in integration engineering, preferably with Boomi or similar iPaaS platforms. Proficiency in web services (SOAP, REST) , XML , JSON , and SQL . Experience in cloud application integration and working within agile environments. Strong analytical, problem-solving, and collaboration skills. Excellent written and verbal communication. Boomi certification or experience with platforms such More ❯

Passionate about making a difference and contributing to business growth. Strong ability to use data to tell a persuasive story. Excellent communication and collaboration skills. Preference for statistical experience, SQL and Python experience The Ideal Candidate Possesses the Following Attributes Charismatic and empathic personality Strong relationship-building skills Commercially minded, strategic and forward thinker Strong analytical skills and insight driven More ❯

expertise in JavaScript, HTML, and other web technologies relevant to tracking implementation (e.g., dataLayer, DOM manipulation) Familiarity with data manipulation and analysis using spreadsheet software (e.g., Google Sheets, Excel) SQL skills are required for debugging and data quality validation purposes. Comprehensive understanding of data privacy regulations (GDPR) and best practices for ethical data collection and usage (e.g. Google Consent Mode More ❯