1 to 25 of 4,647 SQL Jobs in the UK excluding London

as a mentor to Engineers. You’ll be accountable for developing and optimising our Azure-based data warehouse and pipelines, with a specific focus on enhancing and optimising SSAS (SQL Server Analysis Services) models and architecture. You will lead ETL processes, ensure high data quality, and enable robust, scalable data solutions. You will facilitate data from multiple custom internal and … impact at all times. Skills and Experience 2.1 or higher degree in Computer Science, or related Information Technology subject. 3+ years experience working with cloud infrastructure and data modelling (SQL database, data warehouse, SQL servers, datalake storage and lakehouses, structured and unstructured data) Significant experience working with Azure Data Factory and LogicApps creating pipelines ingesting data from multiple sources Advanced … T-SQL skills and Python essential Experience of Azure cloud stack services – Dynamics D365, Databases, Warehouses, Storage, Datalake, Power Automate, Data Factory, Visual Studio, Devops, Power BI, MS Fabric Strong interest in analytics, data architecture and modelling. Experience of enterprise software, Azure Cloud apps, databases, data models. Understanding of Business Intelligence services and data integration processes (ETL) Knowledge of Power More ❯

as a mentor to Engineers. You’ll be accountable for developing and optimising our Azure-based data warehouse and pipelines, with a specific focus on enhancing and optimising SSAS (SQL Server Analysis Services) models and architecture. You will lead ETL processes, ensure high data quality, and enable robust, scalable data solutions. You will facilitate data from multiple custom internal and … impact at all times. Skills and Experience 2.1 or higher degree in Computer Science, or related Information Technology subject. 3+ years experience working with cloud infrastructure and data modelling (SQL database, data warehouse, SQL servers, datalake storage and lakehouses, structured and unstructured data) Significant experience working with Azure Data Factory and LogicApps creating pipelines ingesting data from multiple sources Advanced … T-SQL skills and Python essential Experience of Azure cloud stack services – Dynamics D365, Databases, Warehouses, Storage, Datalake, Power Automate, Data Factory, Visual Studio, Devops, Power BI, MS Fabric Strong interest in analytics, data architecture and modelling. Experience of enterprise software, Azure Cloud apps, databases, data models. Understanding of Business Intelligence services and data integration processes (ETL) Knowledge of Power More ❯

engineering role, ideally as a senior or lead engineer. Strong, hands-on experience of Azure Data Factory for managing and orchestrating ETL processes Experience with Microsoft Fabric Products Strong SQL experience, including SQL queries and stored procedures, and formal database design methodologies Experience in setting up monitoring and data quality exception handling Strong data modelling experience Experience managing and developing More ❯

data to support AI, ML, and BI Strong ability in programming languages such as Java, Python, and C/C++ Ability in data science languages/tools such as SQL, R, SAS, or Excel Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP) and modern data warehouse tools (Snowflake, Databricks … the design and implementation of modern data architectures (ideally Azure, AWS. Microsoft Fabric, GCP, Data Factory) and modern data warehouse technologies (Snowflake, Databricks) Experience with database technologies such as SQL, NoSQL, Oracle, Hadoop, or Teradata Ability to collaborate within and across teams of different technical knowledge to support delivery and educate end users on data products Expert problem-solving skills More ❯

Expertise in one or more modern cloud data platforms: Snowflake, Databricks, AWS Redshift, Microsoft Fabric, or similar Understanding of data modelling principles, dimensional modelling, and database design Proficiency in SQL and query optimization Comprehensive knowledge of ETL/ELT processes and data pipeline architecture Excellent communication skills with the ability to collaborate across cross-functional teams Experience managing client relationships More ❯

Expertise in one or more modern cloud data platforms: Snowflake, Databricks, AWS Redshift, Microsoft Fabric, or similar Understanding of data modelling principles, dimensional modelling, and database design Proficiency in SQL and query optimization Comprehensive knowledge of ETL/ELT processes and data pipeline architecture Excellent communication skills with the ability to collaborate across cross-functional teams Experience managing client relationships More ❯

Expertise in one or more modern cloud data platforms: Snowflake, Databricks, AWS Redshift, Microsoft Fabric, or similar Understanding of data modelling principles, dimensional modelling, and database design Proficiency in SQL and query optimization Comprehensive knowledge of ETL/ELT processes and data pipeline architecture Excellent communication skills with the ability to collaborate across cross-functional teams Experience managing client relationships More ❯

for cleaning, enriching, and aggregating data. Ensure data consistency and accuracy throughout the data lifecycle. Azure Databricks Implementation: Work extensively with Azure Databricks Unity Catalog, including Delta Lake, Spark SQL, and other relevant services. Implement best practices for Databricks development and deployment. Optimise Databricks workloads for performance and cost. Need to program using the languages such as SQL, Python, R … Scala. Deep understanding of data warehousing principles, data modelling techniques, and data integration patterns. Extensive experience with Azure data services, including Azure Data Factory, Azure Blob Storage, and Azure SQL Database. Experience working with large datasets and complex data pipelines. Experience with data architecture design and data pipeline optimization. Proven expertise with Databricks, including hands-on implementation experience and certifications. … Experience with SQL and NoSQL databases. Experience with data quality and data governance processes. Experience with version control systems (e.g., Git). Experience with Agile development methodologies. Excellent communication, interpersonal, and problem-solving skills. Experience with streaming data technologies (e.g., Kafka, Azure Event Hubs). Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with DevOps tools and More ❯

for cleaning, enriching, and aggregating data. Ensure data consistency and accuracy throughout the data lifecycle. Azure Databricks Implementation: Work extensively with Azure Databricks Unity Catalog, including Delta Lake, Spark SQL, and other relevant services. Implement best practices for Databricks development and deployment. Optimise Databricks workloads for performance and cost. Need to program using the languages such as SQL, Python, R … Scala. Deep understanding of data warehousing principles, data modelling techniques, and data integration patterns. Extensive experience with Azure data services, including Azure Data Factory, Azure Blob Storage, and Azure SQL Database. Experience working with large datasets and complex data pipelines. Experience with data architecture design and data pipeline optimization. Proven expertise with Databricks, including hands-on implementation experience and certifications. … Experience with SQL and NoSQL databases. Experience with data quality and data governance processes. Experience with version control systems (e.g., Git). Experience with Agile development methodologies. Excellent communication, interpersonal, and problem-solving skills. Experience with streaming data technologies (e.g., Kafka, Azure Event Hubs). Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with DevOps tools and More ❯

for cleaning, enriching, and aggregating data. Ensure data consistency and accuracy throughout the data lifecycle. Azure Databricks Implementation: Work extensively with Azure Databricks Unity Catalog, including Delta Lake, Spark SQL, and other relevant services. Implement best practices for Databricks development and deployment. Optimise Databricks workloads for performance and cost. Need to program using the languages such as SQL, Python, R … Scala. Deep understanding of data warehousing principles, data modelling techniques, and data integration patterns. Extensive experience with Azure data services, including Azure Data Factory, Azure Blob Storage, and Azure SQL Database. Experience working with large datasets and complex data pipelines. Experience with data architecture design and data pipeline optimization. Proven expertise with Databricks, including hands-on implementation experience and certifications. … Experience with SQL and NoSQL databases. Experience with data quality and data governance processes. Experience with version control systems (e.g., Git). Experience with Agile development methodologies. Excellent communication, interpersonal, and problem-solving skills. Experience with streaming data technologies (e.g., Kafka, Azure Event Hubs). Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with DevOps tools and More ❯

play a critical role in designing, developing, and maintaining data solutions that support audit, risk assessment, and compliance processes. This position requires strong data modeling expertise, robust Python and SQL skills, and the ability to collaborate effectively with cross-functional teams. Key Responsibilities Data Modeling & Architecture Design, develop, and maintain logical and physical data models to support audit and risk … pipelines for both structured and unstructured data. Implement scalable and efficient data warehousing solutions on relational and NoSQL platforms. Analytics & Reporting Develop and implement reporting and analytics using Python, SQL, and Tableau. Create interactive dashboards that clearly present insights, audit findings, and risk assessments. Collaboration & Analysis Work closely with auditors, stakeholders, and IT teams to gather data requirements and ensure … degree in Data Science, Computer Science, Information Systems, or a related field. 7+ years of hands-on experience in data engineering, data modeling, data architecture, or analytics. Expertise in SQL, entity-relationship modeling, and dimensional data modeling. Experience with relational and NoSQL databases such as Oracle, Sybase, PostgreSQL, SQL Server, MongoDB. Familiarity with big data platforms (e.g., Hadoop, Snowflake). More ❯

opportunity to apply your technical expertise in a high-stakes, high-impact environment. You’ll work with cutting-edge tools and cloud technologies, including Azure Data Factory, Data Bricks, SQL Server, Python, Alteryx, and FME, to deliver scalable, high-quality data solutions. What we can offer: Hybrid working arrangements for a healthy work-life balance. 28 days annual leave (excluding … the last few years working hands-on in data engineering or information systems, that works too. Here’s what we’d like you to bring: You’re confident with SQL - writing queries, building stored procedures, and designing databases is second nature to you. You’ve worked with ETL tools like Alteryx, SSIS, FME or Python, and you know how to More ❯

opportunity to apply your technical expertise in a high-stakes, high-impact environment. You’ll work with cutting-edge tools and cloud technologies, including Azure Data Factory, Data Bricks, SQL Server, Python, Alteryx, and FME, to deliver scalable, high-quality data solutions. What we can offer: Hybrid working arrangements for a healthy work-life balance. 28 days annual leave (excluding … the last few years working hands-on in data engineering or information systems, that works too. Here’s what we’d like you to bring: You’re confident with SQL - writing queries, building stored procedures, and designing databases is second nature to you. You’ve worked with ETL tools like Alteryx, SSIS, FME or Python, and you know how to More ❯

opportunity to apply your technical expertise in a high-stakes, high-impact environment. You’ll work with cutting-edge tools and cloud technologies, including Azure Data Factory, Data Bricks, SQL Server, Python, Alteryx, and FME, to deliver scalable, high-quality data solutions. What we can offer: Hybrid working arrangements for a healthy work-life balance. 28 days annual leave (excluding … the last few years working hands-on in data engineering or information systems, that works too. Here’s what we’d like you to bring: You’re confident with SQL - writing queries, building stored procedures, and designing databases is second nature to you. You’ve worked with ETL tools like Alteryx, SSIS, FME or Python, and you know how to More ❯

champion any actions that you can directly impact at all times. Skills and Experience Extensive experience with Microsoft Dynamics 365 F&O, particularly in data integration and reporting. Advanced SQL proficiency, with expertise in data warehouse modelling and working with large datasets. Proven experience with Azure SQL Databases, data lakes, and developing scalable ETL solutions. Proficiency with SQL Server Management More ❯

champion any actions that you can directly impact at all times. Skills and Experience Extensive experience with Microsoft Dynamics 365 F&O, particularly in data integration and reporting. Advanced SQL proficiency, with expertise in data warehouse modelling and working with large datasets. Proven experience with Azure SQL Databases, data lakes, and developing scalable ETL solutions. Proficiency with SQL Server Management More ❯

groups. Skills/Competencies Required: Microsoft/AWS architecture (recent experience); Agile methodology/delivery; Experience with interacting with business and technology leaders; Experience designing physical data models (relational SQL desirable); Experience rolling out mid-large platforms from inception to production; SQL, Java, Oracle, Kubernetes exposure; Hardware and software virtualisation techniques; Excellent written and verbal communication skills; Prior experience in More ❯

similar). Proven experience with: Power BI (advanced DAX, data modelling, RLS, deployment pipelines) PySpark and Databricks or Microsoft Fabric Git and CI/CD pipelines (Azure DevOps preferred) SQL for querying and data transformation Experience with Python for data extraction and API integration. Excellent numerical and analytical skills with strong attention to detail. Confident communicator with experience presenting to More ❯

Required Qualifications: ● 4+ years relevant industry experience in a data engineering role and graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field ● Proficiency in writing SQL queries and knowledge of cloud-based databases like Snowflake, Redshift, BigQuery or other big data solutions ● Experience in data modelling and tools such as dbt, ETL processes, and data warehousing More ❯

Required Qualifications: ● 4+ years relevant industry experience in a data engineering role and graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field ● Proficiency in writing SQL queries and knowledge of cloud-based databases like Snowflake, Redshift, BigQuery or other big data solutions ● Experience in data modelling and tools such as dbt, ETL processes, and data warehousing More ❯

Azure Senior Data Lead with Azure Data Factory (ADF), Azure Databricks, SQL, Oracle PL/SQL, Python, Power BI. Job Summary The Senior Technical Lead will be responsible for leading the technical aspects of projects related to Azure Data Factory (ADF), Azure Databricks, SQL, Oracle PL/SQL, Power BI and Python. The role involves designing, developing, and maintaining data … while ensuring high performance and scalability of data solutions. (1.) Key Responsibilities 1. Lead the end-to-end technical implementation of data projects using azure data factory, azure databricks, sql, oracle pl/sql, Power BI and python. 2. Design and develop efficient and reliable etl processes for large datasets. 3. Collaborate with cross functional teams to understand business requirements … identifying bottlenecks and implementing solutions proactively. Skill Requirements 1. Proficiency in azure data factory (adf) and azure databricks for data integration and processing. 2. Strong skills in writing complex sql queries for data manipulation and analysis. 3. Experience with oracle pl/sql for database development and management. 4. Proficient in python programming language for automation and scripting tasks. 5. More ❯

Azure Senior Data Lead with Azure Data Factory (ADF), Azure Databricks, SQL, Oracle PL/SQL, Python, Power BI. Not sure what skills you will need for this opportunity Simply read the full description below to get a complete picture of candidate requirements. Job Summary The Senior Technical Lead will be responsible for leading the technical aspects of projects related … to Azure Data Factory (ADF), Azure Databricks, SQL, Oracle PL/SQL, Power BI and Python. The role involves designing, developing, and maintaining data pipelines and ETL processes while ensuring high performance and scalability of data solutions. (1.) Key Responsibilities 1. Lead the end-to-end technical implementation of data projects using azure data factory, azure databricks, sql, oracle pl …/sql, Power BI and python. 2. Design and develop efficient and reliable etl processes for large datasets. 3. Collaborate with cross functional teams to understand business requirements and translate them into technical solutions. 4. Optimize data workflows, troubleshoot issues, and ensure data quality and integrity. 5. Implement best practices for data security, governance, and compliance. 6. Provide technical guidance More ❯

for backlog management, sprint planning, and CI/CD. Technical Skills Azure Data Factory: Expert in building, automating, and optimising ETL pipelines. Azure Synapse Analytics: Strong experience with dedicated SQL pools, data warehousing concepts, and performance tuning. Power BI: Advanced experience managing enterprise models, datasets, and governance processes. SQL: Expert-level proficiency in query design, optimisation, and data transformation. Azure More ❯

for backlog management, sprint planning, and CI/CD. Technical Skills Azure Data Factory: Expert in building, automating, and optimising ETL pipelines. Azure Synapse Analytics: Strong experience with dedicated SQL pools, data warehousing concepts, and performance tuning. Power BI: Advanced experience managing enterprise models, datasets, and governance processes. SQL: Expert-level proficiency in query design, optimisation, and data transformation. Azure More ❯

for backlog management, sprint planning, and CI/CD. Technical Skills Azure Data Factory: Expert in building, automating, and optimising ETL pipelines. Azure Synapse Analytics: Strong experience with dedicated SQL pools, data warehousing concepts, and performance tuning. Power BI: Advanced experience managing enterprise models, datasets, and governance processes. SQL: Expert-level proficiency in query design, optimisation, and data transformation. Azure More ❯