1 to 25 of 3,472 SQL Jobs in the UK

to use and teach development practices such as pair programming and CI/CD. Youll support the development of the organisation reporting capabilities, making use of the Microsoft Stack (SQL Server, SSMS, SSIS & SSRS), Power BI and Azure DevOps. By listening, interpreting and delivering our users needs, youll be right at the heart of modernising and improving the way we … collaborating with business stakeholders, analysts, and developers to translate business needs into technical solutions. Evidence of skills or experience in leadership and management in digital, data and technology Advanced SQL and scripting skills (e.g., TSQL, PowerShell) for data engineering, automation and orchestration tasks. Advanced database manipulation and administration skills, particularly T-SQL, Azure SQL, as well as capacity with unstructured … your technical expertise. Proven experience in cloud platforms such Azure and GCP. Strong proficiency in automation of data processes, particularly ETL/ELT at scale. Advanced programming skills in SQL and Python and a collaborative, CI/CD approach to pushing code; experience with orchestration and data pipeline tools. You will be able to find a full Job description and More ❯

practices Evaluate and recommend new technologies and tools to improve ETL pipelines Required Skills & Experience 7+ years of experience in data engineering or related field Expert-level proficiency in SQL, with deep knowledge of either Oracle or SQL Server Good proficiency in any OOP language (Python, Java, C#) Experience developing reliable and efficient data pipeline solutions Experience with on-prem More ❯

We are seeking a Data Engineer with strong experience in SQL, data modelling, and ETL development, ideally complemented by exposure to cloud data platforms and business intelligence tools. The ideal candidate will have hands-on experience designing and maintaining data pipelines, ensuring data integrity, and supporting analytical initiatives across the business. This role is perfect for someone with a few … collaborative IT environment. About You Key Responsibilities: Design, develop, and maintain ETL pipelines to extract, transform, and load data from multiple systems into centralised data repositories. Build and optimise SQL queries, stored procedures, and views to support reporting and analytics. Collaborate with software engineers, analysts, and business stakeholders to understand data needs and ensure reliable data delivery. Manage and monitor … BI/reporting teams with optimised datasets and data structures. Work closely with IT and Infrastructure teams to ensure scalable and secure data operations. Preferred Skills Strong proficiency in SQL (T-SQL or PL/SQL) – query optimisation, joins, indexing, stored procedures, and triggers. Experience with ETL tools such as SSIS, Azure Data Factory, or similar. Familiarity with relational databases More ❯

impact through data engineering, software development, or analytics Demonstrated success in launching and scaling technical products or platforms Strong programming skills in at least two of the following: Python, SQL, Java Commercial experience in client-facing projects is a plus, especially within multi-disciplinary teams Deep knowledge of database technologies: Distributed systems (e.g., Spark, Hadoop, EMR) RDBMS (e.g., SQL Server 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 ❯

highly skilled and versatile Full Stack Developer or similar - both front-end and back-end development, with hands-on experience across a wide range of technologies including C#, PHP, SQL Server, MySQL, mobile development (iOS/Android), and Windows Forms. Understanding of object orientated programming techniques Familiar with applying concepts of Databases, GUIs, REST APIs, Computer Networks and Protocols for … Azure and AWS. A relevant Computing/Software qualification is desirable Strong knowledge/experience of the Microsoft .Net stack including, C# .Net Framework & Core Working knowledge of T-SQL, LINQ and Entity Framework, Javascript, HTML and CSS, IIS, PHP Hands-on experience in mobile development for iOS and Android (native or hybrid frameworks) Experience with Microsoft Azure and AWS … cloud platforms In-depth knowledge of relational databases (especially MS SQL) Also desirable use of Git/Azure Dev Ops, Visual Studio 2019/2022, JQuery, MS Power BI reporting, Linux/Apache web stack, bootstrap front end and sector experience in education Personal qualities: Passion for user experience, design and accessibility - commitment to diversity, inclusion and enabling people to More ❯

multiple data analytics tools (e.g. Power BI) Deep understanding of data wareho using concepts, ETL/ELT pipelines and dimensional modelling Proficiency in advanced programming languages (Python/PySpark, SQL) Experience in data pipeline orchestration (e.g. Airflow, Data Factory) Familiarity with DevOps and CI/CD practices (Git, Azure DevOps etc) Ability to communicate technical concepts to both technical and More ❯

Strong experience in Data Engineering and Business Intelligence Experience in regulated environments Strong analytical and problem-solving skills Excellent communication across all business levels Expertise in Microsoft Data Platform (SQL Server, SSIS, SSAS, SSRS) ETL/ELT pipeline experience Solid understanding of data warehousing and modelling Proficiency in T-SQL and DAX Strong interpersonal and teamwork skills Desirable: Knowledge of More ❯

Strong experience in Data Engineering and Business Intelligence Experience in regulated environments Strong analytical and problem-solving skills Excellent communication across all business levels Expertise in Microsoft Data Platform (SQL Server, SSIS, SSAS, SSRS) ETL/ELT pipeline experience Solid understanding of data warehousing and modelling Proficiency in T-SQL and DAX Strong interpersonal and teamwork skills Desirable: Knowledge of More ❯

Strong experience in Data Engineering and Business Intelligence Experience in regulated environments Strong analytical and problem-solving skills Excellent communication across all business levels Expertise in Microsoft Data Platform (SQL Server, SSIS, SSAS, SSRS) ETL/ELT pipeline experience Solid understanding of data warehousing and modelling Proficiency in T-SQL and DAX Strong interpersonal and teamwork skills Desirable: Knowledge of 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 ❯

engineering best practice within the digital team. About you Skills and experience • Strong experience in data engineering with the Azure data stack (Fabric, Data Factory, Synapse). • Proficiency in SQL and Python for data transformation, ETL/ELT and automation. • Solid understanding of CI/CD, Git, and DevOps practices for data workflows. • Experience designing and implementing layered data models. More ❯

be part of multi-functional Agile delivery teams, ensuring operational stability, ongoing support, and enhancement of scalable data solutions. The role requires strong technical expertise in Azure data tools, SQL, Python, and modern engineering practices, with a focus on migration, data governance, and advanced analytics capabilities. Key Responsibilities Design, build, and maintain data solutions using Azure Data Factory and Azure … Power BI. Implement data governance, quality checks, and profiling to ensure accuracy and compliance. Lead the migration of Legacy data capabilities to modern Azure-based platforms. Apply dbt with SQL databases for data transformation, modelling, and workflow optimisation. Collaborate with stakeholders to translate business requirements into robust technical solutions. Coach and mentor team members, fostering best practices in data engineering. … Clearance (mandatory at application stage). Proven expertise in: Azure Data Factory & Azure Synapse Azure DevOps & Microsoft Azure ecosystem Power BI (including semantic models) Python (incl. PySpark) and advanced SQL dbt with SQL DBs (data transformation & modelling) Dimension data modelling Terraform for infrastructure-as-code deployments Strong experience with both structured and unstructured data. Delivery track record in Agile environments. More ❯

be part of multi-functional Agile delivery teams, ensuring operational stability, ongoing support, and enhancement of scalable data solutions. The role requires strong technical expertise in Azure data tools, SQL, Python, and modern engineering practices, with a focus on migration, data governance, and advanced analytics capabilities. Key Responsibilities Design, build, and maintain data solutions using Azure Data Factory and Azure … Power BI. Implement data governance, quality checks, and profiling to ensure accuracy and compliance. Lead the migration of Legacy data capabilities to modern Azure-based platforms. Apply dbt with SQL databases for data transformation, modelling, and workflow optimisation. Collaborate with stakeholders to translate business requirements into robust technical solutions. Coach and mentor team members, fostering best practices in data engineering. … Clearance (mandatory at application stage). Proven expertise in: Azure Data Factory & Azure Synapse Azure DevOps & Microsoft Azure ecosystem Power BI (including semantic models) Python (incl. PySpark) and advanced SQL dbt with SQL DBs (data transformation & modelling) Dimension data modelling Terraform for infrastructure-as-code deployments Strong experience with both structured and unstructured data. Delivery track record in Agile environments. More ❯

be part of multi-functional Agile delivery teams, ensuring operational stability, ongoing support, and enhancement of scalable data solutions. The role requires strong technical expertise in Azure data tools, SQL, Python, and modern engineering practices, with a focus on migration, data governance, and advanced analytics capabilities. Key Responsibilities Design, build, and maintain data solutions using Azure Data Factory and Azure … Power BI. Implement data governance, quality checks, and profiling to ensure accuracy and compliance. Lead the migration of Legacy data capabilities to modern Azure-based platforms. Apply dbt with SQL databases for data transformation, modelling, and workflow optimisation. Collaborate with stakeholders to translate business requirements into robust technical solutions. Coach and mentor team members, fostering best practices in data engineering. … Clearance (mandatory at application stage). Proven expertise in: Azure Data Factory & Azure Synapse Azure DevOps & Microsoft Azure ecosystem Power BI (including semantic models) Python (incl. PySpark) and advanced SQL dbt with SQL DBs (data transformation & modelling) Dimension data modelling Terraform for infrastructure-as-code deployments Strong experience with both structured and unstructured data. Delivery track record in Agile environments. More ❯

experience of working with large data sets in an enterprise environment. Microsoft Data Components: You'll have strong experience in Microsoft data components including: Azure Analysis Services Databricks Azure SQL Data Warehouse (Synapse Analytics) Data Quality and Security: You'll have experience of using tools and techniques for ensuring data quality, security, validation and recovery. Analytical Skills: You possess strong … DAX skills. Experience of working with large data sets in an enterprise environment. Dimensional model design and implementation. Experience in Microsoft data components including: Azure Analysis Services Databricks Azure SQL Data Warehouse (Synapse Analytics) Tools and techniques for ensuring data quality, security, validation and recovery. Strong analytical skills, with the ability to adopt a logical approach to solving problems. Data More ❯

data from various data sources for the use of various levels of stakeholder. Responsibilities: Design, develop, and maintain dashboards, reports, and data models in Power BI. Build and optimise SQL queries to support analytics and reporting requirements. Collaborate with internal stakeholders to understand data needs and deliver actionable insights. Integrate data from multiple sources into the firm's SQL data … strategic initiatives by providing high-quality analytics and visualisations. Person Specification: Essential Skills & Experience: Proven experience working as a Data Analyst, BI Developer, or similar role. Strong proficiency in SQL for querying, transforming, and managing data. Demonstrable experience with Power BI, including data modelling, DAX, and report/dashboard development. Strong analytical and problem-solving skills, with the ability to … in a professional services or legal sector environment. Understanding of data governance, compliance, and security best practices. Exposure to other Microsoft data tools such as Azure Data Factory or SQL Server Integration Services (SSIS). Salary & Hours: Salary of £32,000 to £35,000, dependent on experience Our standard working hours are 8:30am to 5:30pm Monday-Thursday and More ❯

data from various data sources for the use of various levels of stakeholder. Responsibilities: Design, develop, and maintain dashboards, reports, and data models in Power BI. Build and optimise SQL queries to support analytics and reporting requirements. Collaborate with internal stakeholders to understand data needs and deliver actionable insights. Integrate data from multiple sources into the firm's SQL data … strategic initiatives by providing high-quality analytics and visualisations. Person Specification: Essential Skills & Experience: Proven experience working as a Data Analyst, BI Developer, or similar role. Strong proficiency in SQL for querying, transforming, and managing data. Demonstrable experience with Power BI, including data modelling, DAX, and report/dashboard development. Strong analytical and problem-solving skills, with the ability to … in a professional services or legal sector environment. Understanding of data governance, compliance, and security best practices. Exposure to other Microsoft data tools such as Azure Data Factory or SQL Server Integration Services (SSIS). Salary & Hours: Salary of £32,000 to £35,000, dependent on experience Our standard working hours are 8:30am to 5:30pm Monday-Thursday and More ❯

of applying data governance principles, DQM, compliance standards and security protocols to global data environments. Hands-on experience with data management tools, data analysis, or data visualization software (Python, SQL, Power BI). Experience with DevOps principles such as CI/CD, unit testing. Project Ownership skills with the ability to operate in Agile Product framework. Conversant with Data Regulations … or similar Preferred: Masters degree in above fields Preferred: Accreditations/certifications (e.g. DAMA) in data management and/or data governance practices is desirable Preferred: Professional certifications in SQL, Python, CAP, Microsoft certification Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose driven company, where we're striving to build the world we More ❯

organise and produce work within deadlines. Skills - Good project and people management skills. - Excellent data development skills. - Excellent data manipulation and analysis skills using a variety of tools including SQL, Phyton, AWS services and the MSBI stack. - Ability to prioritise and be flexible to change those priorities at short notice. - Commercial acumen. - Able to demonstrate a practical approach to problem … design (Kimball and lake house, medallion and data vault) is a definite preference as is knowledge of other data tools and programming languages such as Python & Spark and Strong SQL experience. - Experience is building Data lake and building CI/CD data pipelines - A candidate is expected to understand and can demonstrate experience across the delivery lifecycle and understand both More ❯

engineers and analysts. Candidate Profile Proven experience leading data engineering or BI teams in complex organisations. Expertise in cloud data platforms and data processing services. Strong skills in Python, SQL, and Power BI (DAX, Power Query, data modelling). Knowledge of ETL/ELT pipelines, data warehousing, and data mesh architectures. Familiarity with AI/ML applications, metadata management, and More ❯

engineers and analysts. Candidate Profile Proven experience leading data engineering or BI teams in complex organisations. Expertise in cloud data platforms and data processing services. Strong skills in Python, SQL, and Power BI (DAX, Power Query, data modelling). Knowledge of ETL/ELT pipelines, data warehousing, and data mesh architectures. Familiarity with AI/ML applications, metadata management, and More ❯