1 to 25 of 176 SQL Jobs in 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 ❯

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 ❯

/Knowledge/Experience: Bachelor's degree or International Equivalent. Excellent written and verbal communication skills; presentation skills preferred. Proficiency in Collibra APIs, Java, Groovy, and REST integrations. Strong SQL knowledge and familiarity with common databases (Oracle, PostgreSQL, DB2, BigQuery, etc.). Experience with ETL/ELT tools (Informatica, DataStage, etc.) and BI platforms (Qlik, Power BI, etc.). Understanding More ❯

/Knowledge/Experience: Bachelor's degree or International Equivalent. Excellent written and verbal communication skills; presentation skills preferred. Proficiency in Collibra APIs, Java, Groovy, and REST integrations. Strong SQL knowledge and familiarity with common databases (Oracle, PostgreSQL, DB2, BigQuery, etc.). Experience with ETL/ELT tools (Informatica, DataStage, etc.) and BI platforms (Qlik, Power BI, etc.). Understanding 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 ❯

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 ❯

modelling using Power Pivot, and scenario analysis tools. Experience in building dashboards, process automation, and preparing structured data for Power BI integration is essential. Power BI and Power Query. SQL for data extraction and manipulation. Python (preferred but not required). Personal Attributes: Strategic thinker with a hands-on approach to problem-solving. Strong interpersonal and communication skills. Motivated by More ❯

modelling using Power Pivot, and scenario analysis tools. Experience in building dashboards, process automation, and preparing structured data for Power BI integration is essential. Power BI and Power Query. SQL for data extraction and manipulation. Python (preferred but not required). Personal Attributes: Strategic thinker with a hands-on approach to problem-solving. Strong interpersonal and communication skills. Motivated by More ❯

Power BI, ETL processes and integrating enterprise data sources (SAP, Salesforce, production systems) Excellent communication skills - able to engage across departments and translate data requirements into solutions Competent in SQL for querying, validation and optimisation Background in data modelling, data architecture and data governance frameworks Desirable Experience Broader experience in business intelligence and analytics strategy Exposure to manufacturing or industrial More ❯

Power BI, ETL processes and integrating enterprise data sources (SAP, Salesforce, production systems) Excellent communication skills - able to engage across departments and translate data requirements into solutions Competent in SQL for querying, validation and optimisation Background in data modelling, data architecture and data governance frameworks Desirable Experience Broader experience in business intelligence and analytics strategy Exposure to manufacturing or industrial More ❯

Power BI, ETL processes and integrating enterprise data sources (SAP, Salesforce, production systems) Excellent communication skills - able to engage across departments and translate data requirements into solutions Competent in SQL for querying, validation and optimisation Background in data modelling, data architecture and data governance frameworks Desirable Experience Broader experience in business intelligence and analytics strategy Exposure to manufacturing or industrial More ❯

Familiarity with Agile & DevOps ways of working Familiarity with and experience of using UNIX Knowledge of CI toolsets Good client facing skills and problem solving aptitude DevOps knowledge of SQL Oracle DB Postgres ActiveMQ Zabbix Ambari Hadoop Jira Confluence BitBucket ActiviBPM Oracle SOA Azure SQLServer IIS AWS Grafana Oracle BPM Jenkins Puppet CI and other cloud technologies. Your Skills: Excellent More ❯

Qualifications/Required Skills Bachelor’s degree or International Equivalent Excellent written and verbal communication skills; presentation skills preferred Proficiency in Collibra APIs, Java, Groovy, and REST integrations. Strong SQL knowledge and familiarity with common databases (Oracle, PostgreSQL, DB2, BigQuery, etc.). Experience with ETL/ELT tools (Informatica, DataStage, etc.) and BI platforms (Qlik, Power BI, etc.). Understanding More ❯

Qualifications/Required Skills Bachelor’s degree or International Equivalent Excellent written and verbal communication skills; presentation skills preferred Proficiency in Collibra APIs, Java, Groovy, and REST integrations. Strong SQL knowledge and familiarity with common databases (Oracle, PostgreSQL, DB2, BigQuery, etc.). Experience with ETL/ELT tools (Informatica, DataStage, etc.) and BI platforms (Qlik, Power BI, etc.). Understanding 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 ❯

remote, coming into the office once every 4-6 weeks.Essential skills include experience with: Data Warehousing At least one of the following: Microsoft Fabric, Synapse, Snowflake or AWS Python SQL Advantageous skills include experience with: Power BI Microsoft Fabric Leadership European language skills This is an excellent opportunity for the successful applicant to gain exposure to a company with great 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 ❯

mentoring junior engineers and providing technical guidance Deep understanding of data warehouse design principles and methodologies Advanced knowledge of optimisation techniques for large-scale data processing Strong proficiency in SQL and Python for handling complex data problems Hands-on experience with Apache Spark (PySpark or Spark SQL) Experience with the Azure data stack Knowledge of workflow orchestration tools like Azure More ❯

product, business stakeholders) to translate business challenges into robust technical requirements and ensure seamless delivery. Key Technical Skills: Exceptional proficiency in Python (and R) for data science, coupled with SQL capabilities for data manipulation and extraction. Demonstrable mastery in a wide range of machine learning and statistical modelling techniques, from classical linear models and tree-based methods to advanced deep 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 ❯