126 to 150 of 4,030 SQL Jobs in England

a more engineering-focused position, someone who enjoys understanding the business context just as much as building the data solutions behind it. You'll work extensively with Python , Snowflake , SQL , and dbt to design, build, and maintain scalable, high-quality data pipelines and models that support decision-making across the business. This is a hands-on, collaborative role, suited to … teams, not a 'heads-down coder' type. Top 4 Core Skills Python - workflow automation, data processing, and ETL/ELT development. Snowflake - scalable data architecture, performance optimisation, and governance. SQL - expert-level query writing and optimisation for analytics and transformations. dbt (Data Build Tool) - modular data modelling, testing, documentation, and version control. Key Responsibilities Design, build, and maintain dbt models … and SQL transformations to support analytical and operational use cases. Develop and maintain Python workflows for data ingestion, transformation, and automation. Engineer scalable, performant Snowflake pipelines and data models aligned with business and product needs. Partner closely with analysts, product managers, and engineers to translate complex business requirements into data-driven solutions. Write production-grade SQL and ensure data quality More ❯

solutions and support the development of its Azure data platform. This is an excellent opportunity for a mid-level engineer looking to deepen their Azure Data Factory, Synapse, and SQL experience while contributing to enterprise-wide MI and analytics. The Role You will: Build and maintain Power BI dashboards, reports, and data models using DAX and Power Query (key focus … Factory ETL/ELT pipelines. Work with Azure Synapse Analytics on modelling, optimisation, and BI-ready datasets. Support early adoption and migration to Microsoft Fabric . Write and optimise SQL queries for reporting, analysis, and data preparation. Collaborate with analysts, senior engineers, and business stakeholders. Contribute to data quality , documentation, and continuous improvement. Operate within Agile delivery using Azure DevOps … Strong experience developing Power BI reports, dashboards, and data models. Hands-on expertise with Azure Data Factory ETL pipelines. Working knowledge of Azure Synapse modelling and performance tuning. Good SQL skills for analytics and optimisation. Understanding of Azure Data Lake structures. Experience using Git and Azure DevOps in Agile teams. 24 years experience in a Data Engineering or BI Development More ❯

and documentation to improve data engineering processes. Mentor junior engineers and support knowledge-sharing across teams. Key Responsibilities: Design, build, and maintain scalable data pipelines using Snowflake , dbt , and SQL . Develop efficient ELT workflows to process large volumes of structured and semi-structured data. Implement data governance, security, and compliance standards within Snowflake environments. Work with cloud platforms such … CI/CD processes for data pipeline deployment and monitoring. What We Are Looking For: 5+ years of experience in data engineering or related roles. Strong expertise in Snowflake , SQL , and cloud data platforms (AWS, Azure, or GCP). Proficiency in Python for data transformation and automation. Experience with ELT development and orchestration tools (e.g. dbt, Airflow, Prefect ). Knowledge More ❯

and documentation to improve data engineering processes. Mentor junior engineers and support knowledge-sharing across teams. Key Responsibilities: Design, build, and maintain scalable data pipelines using Snowflake , dbt , and SQL . Develop efficient ELT workflows to process large volumes of structured and semi-structured data. Implement data governance, security, and compliance standards within Snowflake environments. Work with cloud platforms such … CI/CD processes for data pipeline deployment and monitoring. What We Are Looking For: 5+ years of experience in data engineering or related roles. Strong expertise in Snowflake , SQL , and cloud data platforms (AWS, Azure, or GCP). Proficiency in Python for data transformation and automation. Experience with ELT development and orchestration tools (e.g. dbt, Airflow, Prefect ). Knowledge More ❯

pipelines using Fabric Pipelines, Azure Data Factory, Notebooks and SSIS Produce enterprise-grade Power BI dashboards and paginated reports Translate business requirements into scalable technical BI solutions Write advanced SQL for Fabric Lakehouse and Warehouse environments Implement CI/CD processes using Azure DevOps for secure, reliable deployment Technical Skills: Strong expertise in: Power BI and paginated reporting SQL and … data transformation logic Azure Fabric, Azure Data Factory, Synapse, Data Lakes and Lakehouse/Warehouse technologies ETL/ELT orchestration for structured and unstructured data Proficiency in: PySpark, T-SQL, Notebooks and advanced data manipulation Performance monitoring and orchestration of Fabric solutions Power BI semantic models and Fabric data modelling DevOps deployment using ARM/Bicep templates End-to-end More ❯

re looking for an experienced, hands-on Data Engineer to design and optimise data architecture, build robust pipelines, and deliver actionable insights across the business. Key Responsibilities Data Engineering & SQL Development Own and develop the data architecture, ensuring performance and scalability. Design, develop, and optimise SQL queries, stored procedures, and ETL pipelines. Work with AWS S3 data lakes and ERP … data validation and quality assurance to ensure reliable insights. Support forecasting and predictive analytics to guide strategic decisions. Translate complex data into clear, actionable recommendations. Required Skills & Experience Strong SQL expertise, including optimisation and performance tuning. Experience in ETL development, data modelling, and large datasets. Proficiency with BI tools such as Power BI, Superset, or Tableau. Experience with AWS data More ❯

Strong Academic Background with Demonstrable Achievements Proven ability to excel in time-constrained, algorithmic problem-solving Technical Expertise: Advanced Proficiency in: C# and .NET Framework Microsoft Azure Cloud Platform SQL and SQL Server Complex Data-Driven Software Development Strong Algorithm and Data Structure Knowledge Preferred Background: Experience in FinTech or Similar Structured Data Environments Demonstrated Ability to Scale Applications for More ❯

Strong Academic Background with Demonstrable Achievements Proven ability to excel in time-constrained, algorithmic problem-solving Technical Expertise: Advanced Proficiency in: C# and .NET Framework Microsoft Azure Cloud Platform SQL and SQL Server Complex Data-Driven Software Development Strong Algorithm and Data Structure Knowledge Preferred Background: Experience in FinTech or Similar Structured Data Environments Demonstrated Ability to Scale Applications for More ❯

Strong Academic Background with Demonstrable Achievements Proven ability to excel in time-constrained, algorithmic problem-solving Technical Expertise: Advanced Proficiency in: C# and .NET Framework Microsoft Azure Cloud Platform SQL and SQL Server Complex Data-Driven Software Development Strong Algorithm and Data Structure Knowledge Preferred Background: Experience in FinTech or Similar Structured Data Environments Demonstrated Ability to Scale Applications for More ❯

learn, Large Language Models, LLM, Data preprocessing, REST API, Microservices architecture, MLOps, CI/CD for ML, Power-BI, Docker, Kubernetes, AI Ethics, Cloud Platforms, AWS, Google Cloud Platform, SQL, NoSQL, DevOps, Financial services, Regulatory environments Contract Type: Hybrid/Bedford Daily Rate: £600-£650 (via Umbrella) 9 months initial contract We are seeking two AI Solutions Engineers to lead More ❯

Strong Academic Background with Demonstrable Achievements Proven ability to excel in time-constrained, algorithmic problem-solving Technical Expertise: Advanced Proficiency in: C# and .NET Framework Microsoft Azure Cloud Platform SQL and SQL Server Complex Data-Driven Software Development Strong Algorithm and Data Structure Knowledge Preferred Background: Experience in FinTech or Similar Structured Data Environments Demonstrated Ability to Scale Applications for More ❯

contribute to internal knowledge sharing Participate in client workshops and solution design sessions Required Skills & Experience: Proven experience with Microsoft Fabric (Data Factory, Lakehouse, Power BI) Strong proficiency in SQL, DAX, and Power Query (M) Experience with Azure Data Services (Synapse, Data Lake, Azure SQL) Solid understanding of data modelling, ETL processes, and BI architecture Familiarity with CI/CD More ❯

contribute to internal knowledge sharing Participate in client workshops and solution design sessions Required Skills & Experience: Proven experience with Microsoft Fabric (Data Factory, Lakehouse, Power BI) Strong proficiency in SQL, DAX, and Power Query (M) Experience with Azure Data Services (Synapse, Data Lake, Azure SQL) Solid understanding of data modelling, ETL processes, and BI architecture Familiarity with CI/CD More ❯

capability, including DAX, Power Query, data modelling, and advanced visualisation Experience implementing Kimball modelling Strong data storytelling and design skills Proven experience in data manipulation, mining, and validation Confident SQL skills Experience with Azure or AWS Understanding of data warehousing, ideally Snowflake or Data Factory PL-300 certification or close to completion Analytical Skills Professional experience in an analytics role More ❯

Science, or equivalent work experience. Ability to understand complex data structures and apply advanced blending and refinement techniques, including big data and AI-assisted data preparation. Significant experience leveraging SQL and Python for data querying and automation; familiarity with AI/ML libraries or APIs (e.g., OpenAI, scikit-learn, or similar) is preferred. Experience with visualization tools such as Tableau More ❯

Science, or equivalent work experience. Ability to understand complex data structures and apply advanced blending and refinement techniques, including big data and AI-assisted data preparation. Significant experience leveraging SQL and Python for data querying and automation; familiarity with AI/ML libraries or APIs (e.g., OpenAI, scikit-learn, or similar) is preferred. Experience with visualization tools such as Tableau More ❯

webhooks, and automate data workflows Support BI tools and analytics teams with reliable, well-modelled data Maintain documentation, contribute to architectural decisions, and drive best practices Essential Requirements: Strong SQL skills and experience with modern cloud data warehouses (Snowflake preferred) ELT pipeline development and modern data stack understanding Solid software engineering practices (Git, testing, CI/CD) Own pipeline health More ❯

model, query, and optimise data for analysis and reporting. Support the team in the transition to Microsoft Fabric, assisting with data model migration and integration activities. Write and optimise SQL queries to support data preparation and reporting needs. Collaborate with analysts, engineers, and business teams to understand requirements and deliver fit-for-purpose solutions. Contribute to data quality checks, documentation … models using DAX and Power Query. Azure Data Factory: Hands-on experience building and maintaining ETL pipelines. Azure Synapse Analytics: Working knowledge of data modelling, views, and performance tuning. SQL: Proficient in writing, optimising, and troubleshooting queries. Azure Data Lake: Understanding of data storage and structure for analytics use cases. Git/Azure DevOps: Familiar with version control and Agile More ❯

model, query, and optimise data for analysis and reporting. Support the team in the transition to Microsoft Fabric, assisting with data model migration and integration activities. Write and optimise SQL queries to support data preparation and reporting needs. Collaborate with analysts, engineers, and business teams to understand requirements and deliver fit-for-purpose solutions. Contribute to data quality checks, documentation … models using DAX and Power Query. Azure Data Factory: Hands-on experience building and maintaining ETL pipelines. Azure Synapse Analytics: Working knowledge of data modelling, views, and performance tuning. SQL: Proficient in writing, optimising, and troubleshooting queries. Azure Data Lake: Understanding of data storage and structure for analytics use cases. Git/Azure DevOps: Familiar with version control and Agile More ❯

documentation and analytical skills with the ability to translate business needs into technical stories. Excellent communication and interpersonal skills to bridge business and technical teams. Desirable Experience Understanding of SQL, data models, or API integrations. Experience supporting testing or UAT. Awareness of Power BI and basic reporting structures. Familiarity with Azure DevOps pipelines or CI/CD principles. Microsoft certifications More ❯

documentation and analytical skills with the ability to translate business needs into technical stories. Excellent communication and interpersonal skills to bridge business and technical teams. Desirable Experience Understanding of SQL, data models, or API integrations. Experience supporting testing or UAT. Awareness of Power BI and basic reporting structures. Familiarity with Azure DevOps pipelines or CI/CD principles. Microsoft certifications More ❯

work autonomously and tackle complex challenges. Technical Skills: Advanced Power BI expertise: DAX, Power Query, modelling, and storytelling through visualisations. Experience with Kimball modelling, data manipulation, mining, and validation. SQL proficiency and familiarity with cloud platforms (Azure or AWS). Exposure to Data Warehousing concepts, ideally with Snowflake or DataFactory. PL-300 certification or near completion. What You’ll Bring More ❯

technical specifications, reverse engineer existing systems to ensure alignment with best practices, and maintain comprehensive documentation. The ideal candidate possesses proven experience as a BI Engineer, strong proficiency in SQL, data warehousing concepts, and problem-solving skills, with any specific experience within the retail and general supply chain logistics sector being highly advantageous. Bonus skills include experience with Python, Azure More ❯

deliver the long-term strategy of the organisation Logical approach to problem solving Advanced keyboard skills Uses innovation to deliver solutions Proven abilities in scripting with Powershell, C#, VB, SQL Able to prioritise work, schedule and organise own time and that of the team and commitment to team-working Pragmatic approach to deal with extremely complex situations Desirable Development skills … in various other programming languages that allows automation Knowledge Essential Highly developed specialist knowledge of enterprise level database software including Oracle, Microsoft SQL Server. Expert knowledge of data manipulation tools and techniques such as SSIS and Hive Knowledge and experience of implementing information reporting flows between systems and organisations eHighly proficient in the use of SQL to manipulate and transform More ❯

core insurance operations (e.g., policy administration, claims, underwriting, billing) and related data structures. Strong skills in data analysis, data profiling, and data mapping (source-to-target). Proficiency in SQL for data extraction, analysis, and validation. Demonstrated ability to define and document detailed data transformation rules and validation criteria. Excellent analytical thinking, problem-solving, and attention to detail. Strong written More ❯