1 to 25 of 86 Permanent SQL Jobs in West Yorkshire

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 ❯

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 ❯

functionally to source and interpret data Industry experience in retail, ideally within merchandising Proven ability to manage multiple projects simultaneously Strong stakeholder engagement and communication skills Essential technical skills: SQL, Power BI, Power Automate Preferred experience: A/B testing, Python, Databricks (especially for manager role), ETL/ELT pipelines, data modelling (marts, dimensional models), Git/version control Experience More ❯

functionally to source and interpret data Industry experience in retail, ideally within merchandising Proven ability to manage multiple projects simultaneously Strong stakeholder engagement and communication skills Essential technical skills: SQL, Power BI, Power Automate Preferred experience: A/B testing, Python, Databricks (especially for manager role), ETL/ELT pipelines, data modelling (marts, dimensional models), Git/version control Experience 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 ❯

and scalability across solutions. You'll also work closely with stakeholders to communicate technical concepts clearly and effectively. What you'll need to succeed Essential skills and experience Strong SQL, SQL Server and ETL skills Experience with MSBI stack (SSIS, SSRS, SSAS) Familiarity with version control tools (e.g. Git, Azure DevOps) Strong problem-solving and debugging capabilities Ability to communicate More ❯

Mentor data engineers and contribute to best practices across the team. Key skills: Strong experience with AWS data services (S3, Redshift, Glue, Lambda, Lake Formation, CloudFormation). Proficiency in SQL, Python (Pandas), Spark or Iceberg. Experience with data warehouse design, ETL/ELT, and CI/CD pipelines (GitHub, CodeBuild). Knowledge of infrastructure as code, performance tuning, and data More ❯

Mentor data engineers and contribute to best practices across the team. Key skills: Strong experience with AWS data services (S3, Redshift, Glue, Lambda, Lake Formation, CloudFormation). Proficiency in SQL, Python (Pandas), Spark or Iceberg. Experience with data warehouse design, ETL/ELT, and CI/CD pipelines (GitHub, CodeBuild). Knowledge of infrastructure as code, performance tuning, and data More ❯

proficiency 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 for data extraction, manipulation, and analysis (for debugging and validation purposes) would be preferable but not essential Understanding of data privacy regulations (GDPR) and best practices for ethical data 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 ❯

to enhance analytics capabilities. Mentor and guide a junior data analyst to support their development and contributions. ESSENTIAL EXPERIENCE: Business Intelligence Strategist/Lead Data Analyst Advanced, hands-on SQL expertise. Proven experience designing and implementing data warehouses and ETL pipelines. Demonstrated ability to work with non-technical stakeholders to define requirements and deliver actionable insights. Comfortable navigating ambiguous or 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 ❯

and related component libraries. Architect, design and review .NET Core microservices (API design, messaging, resiliency, CI/CD) deployed to Azure (App Services, Containerization, Functions, Service Bus, Cosmos/SQL, APIM). Specify native mobile app architecture patterns and guidelines for SwiftUI (iOS) and Jetpack Compose (Android), including shared data, offline sync, feature flagging, and CI pipelines. Own and evolve More ❯

contributing to team knowledge growth Excellent project estimation capabilities with a history of delivering complex projects on time Strong analytical mindset with exceptional problem-solving abilities Desirable Competent in SQL for basic querying and support of database-driven applications. Experience designing and implementing CI/CD pipelines for enterprise applications Knowledge of cost optimisation strategies for cloud resources Azure certifications 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 ❯

Define data governance practices to ensure consistency, accuracy, and security in all reporting and analytics. Manage and guide Junior team members, providing coaching, feedback, and leadership. Key Skills Strong SQL skills. Comfortable writing complex queries and optimising performance. Proven experience in designing data warehouses and building ETL pipelines. Knowledge of embedded reporting tools and integration. Experience with API-based data More ❯

benefits programme. Key skills terminology Salesforce Engineering Manager, Lead Salesforce Engineer, Salesforce Engineer, Principal Salesforce Engineer, Salesforce Technical Lead, Salesforce, Salesforce Industries, Vlocity, CPQ, OpniScript, DataRaptor, .Net, Azure, RDBMS, SQL, CI, CD, DevOps, Agile, SCRUM, DORA. We are Disability Confident and neurodiverse aware. If you have a disability, please tell us if there are any reasonable adjustments we can make More ❯

challenge the status quo and improve ways of working Excellent stakeholder management skills, with the ability to gather and refine requirements to ensure value delivery Key Skills: Expert level SQL skills, extracting and transforming data with speed and accuracy Strong programming experience (preferably Python or R), with experience of building, testing and deploying machine learning models Experience delivering predictive or 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 ❯

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 ❯

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 ❯