1 to 25 of 4,829 SQL Jobs in the UK

data solutions 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 ...

Senior Data Analyst with SQL Server SSIS and Network Engineering Summary of skills required: Power Automate Power BI Python Powershell SQL Server SSIS SSRS Essentially the Client is looking to recruit a candidate that can assist in IT Network Engineering and Data Engineering projects. Role Description The Senior Data Analyst … with SQL Server SSIS and Network Engineering will work in a full-time, hybrid capacity based in London, with some flexibility to work from home. Day-to-day responsibilities include designing and maintaining data workflows using SQL Server and SSIS, developing data models, and performing advanced data analysis to support ...

reporting outcomes. Help with repeatable migration processes, templates and validation approaches for future implementation activity. Support and maintain existing migration solutions developed using SQL Server Integration Services (SSIS), and be comfortable with working with and enhancing established migration processes where appropriate. Assist in the transition of migration processes from legacy … technologies and/or equivalent modern cloud data platforms. Experience with Microsoft Fabric, including Data Factory, Lakehouse, Dataflows and Semantic Models. Strong knowledge of SQL and data transformation techniques. Experience supporting data migration or system implementation projects. Experience working with SQL Server Integration Services (SSIS) and maintaining or developing ...

maintainability, scalability and reuse.Your experience is likely to include several of the following: Microsoft Fabric Snowflake Azure OneLake Lakehouse architecture Data Factory Spark Python SQL ETL/ELT dimensional modelling Data Vault orchestration Git Azure DevOps/GitHub CI/CD Infrastructure as Code data quality MLOps performance optimisationYou will ...

development of bespoke reporting and visualisation solutions, and the creation of interactive tools that help users unlock valuable insights. Working with technologies including Python, SQL, Power BI, Tableau, Plotly/Dash and AWS, we’re constantly evolving our technical capabilities and embracing new tools and approaches to solve challenging problems. … data into trusted insights, products and services used across the sector. Design, develop and optimise automated data pipelines and systems using technologies such as SQL, Python and cloud-based tools, ensuring data moves efficiently from collection through to publication. Extract, transform and prepare complex datasets, turning raw data into high ...

development of bespoke reporting and visualisation solutions, and the creation of interactive tools that help users unlock valuable insights. Working with technologies including Python, SQL, Power BI, Tableau, Plotly/Dash and AWS, we’re constantly evolving our technical capabilities and embracing new tools and approaches to solve challenging problems. … data into trusted insights, products and services used across the sector. Design, develop and optimise automated data pipelines and systems using technologies such as SQL, Python and cloud-based tools, ensuring data moves efficiently from collection through to publication. Extract, transform and prepare complex datasets, turning raw data into high ...

development of bespoke reporting and visualisation solutions, and the creation of interactive tools that help users unlock valuable insights. Working with technologies including Python, SQL, Power BI, Tableau, Plotly/Dash and AWS, we’re constantly evolving our technical capabilities and embracing new tools and approaches to solve challenging problems. … data into trusted insights, products and services used across the sector. Design, develop and optimise automated data pipelines and systems using technologies such as SQL, Python and cloud-based tools, ensuring data moves efficiently from collection through to publication. Extract, transform and prepare complex datasets, turning raw data into high ...

role requires strong hands-on experience across the Microsoft Azure data ecosystem, particularly Azure Data Factory, Azure Synapse and Power BI, together with strong SQL, data engineering and data modelling capabilities. Key Responsibilities Design, develop and maintain scalable data pipelines, data models and data warehouse solutions. Build and support … Develop dashboards, reports and analytics solutions to support business and operational decision-making. Design and optimise complex data models and datasets. Use Python and SQL for data manipulation, transformation and analysis. Support and enhance existing data solutions as they scale. Optimise code, queries, pipelines and processes for performance and reliability. ...

roadmap: track delivery of quick-wins, report progress on mid-term initiatives, and flag risks or dependencies TECHNICAL SKILLS & EXPERTISE Strong data engineering skills: SQL (advanced), Python or PowerShell for data extraction, transformation, and automation; experience with ETL/ELT pipelines Dashboard development: Power BI (preferred), Tableau, Grafana, or equivalent ...

roadmap: track delivery of quick‐wins, report progress on mid‐term initiatives, and flag risks or dependencies TECHNICAL SKILLS & EXPERTISE Strong data engineering skills: SQL (advanced), Python or PowerShell for data extraction, transformation, and automation; experience with ETL/ELT pipelines Dashboard development: Power BI (preferred), Tableau, Grafana, or equivalent ...

publish data across enterprise platforms. Work with structured and semi-structured data, applying appropriate data modelling, validation, and quality checks. Write and optimise SQL for data transformation, reconciliation, and performance tuning. Cloud Data Platform & DataOps Develop and support data solutions on Snowflake as a core cloud data platform. Use DataOps.live … analytics and decision-making. Preferred Skills & Experience Hands-on experience with Azure Data Factory, including pipeline orchestration, triggers, linked services, datasets, and monitoring. Strong SQL skills and experience working with cloud data platforms such as Snowflake. Experience with DataOps.live or similar DataOps/DevOps tooling for automated deployment and environment ...

clear Dev/Test/Prod separation, deployment pipelines, dataset certification/endorsement, refresh monitoring and access management. Coach analysts and BI developers on SQL, DAX, data modelling, visual design and engineering hygiene; take part in code/report reviews and knowledge‐sharing sessions. Work closely with Data Engineering … Knowledge and Experience Essential Well developed and demonstrable experience in a data analytics or BI role, preferably in an insurance or finance environment. Advanced SQL, including query optimisation and working with the Azure data stack (Data Factory, Synapse/Fabric, SQL‐based semantic layers). Advanced Power BI: data modelling ...

Mathematics or Computer Science). A minimum 8 years of professional experience in Data Analysis. Proficiency in at least one Programming language such as SQL, R or Python. Preferred Qualifications Additional certifications in Data Analytics, Data Science or Business Intelligence (e.g., Certified Analytics Professional, Microsoft Certified: Data Analyst Associate). … ensure data integrity. Extensive experience with Data Migration processes between systems and Data Source Identification. Proven experience in Data Consolidation, Database Management (e.g., SQL, Oracle, IBM DB2, Teradata) and Database Design. Expertise in creating Database Schema and managing Data Dictionaries. Significant experience with Machine Learning algorithms and frameworks for building ...

variety of data sources Carry out reactive and proactive data analysis of large datasets using a wide range of technologies such as Python, SQL and Power BI. Supervise the work of junior team members and be responsible for quality control of work products from the team Develop algorithms and solutions … have: Strong academic qualifications with a degree in a STEM discipline (Computer Science, Engineering, Statistics, Mathematics, etc.) or equivalent work experience Demonstrable proficiency in SQL, Python, Azure data factory and/or Databricks, and Visualization techniques and awareness across other programming languages such as R, C#, JavaScript Ability to work ...

emerging trends in Data Analytics and continuously integrating new tools and techniques to enhance client solutions. Proficiency in at least one Programming language (e.g., SQL, Python, R). Between 3 – 8 years of experience in Data Analysis or related roles. Hands-on experience with Data Visualisation tools such as Power … Tableau or Excel. Familiarity with Database Management and Design including SQL and Oracle. In-depth understanding of Data Governance principles and best practices in Data Management. Experience using Agile Project Management tools like Azure DevOps or JIRA. Experience with ETL processes and Data Migration between systems. Knowledge of Machine Learning ...

sources. Develop and maintain data warehouses and data lakes. Optimise database performance, storage and data models. Implement data solutions using Microsoft Fabric and Microsoft SQL Server. Work with analysts and data scientists to support reporting and analytics. Translate business requirements into effective technical solutions. Maintain data quality, governance, security … technical documentation and share knowledge across the team. Key Skills & Experience At least 4 years experience in data engineering or a related role. Strong SQL and Python skills. Experience building and managing ETL/ELT pipelines. Experience with cloud platforms such as Azure, AWS or GCP. Knowledge of relational ...

Data Science, Computer Science, Engineering, Information Systems, Mathematics, Statistics, Economics, Business Analytics or a related field. Proficiency in at least one programming language (e.g., SQL, Python, R). Core experience and skills 2–8 years in data, analytics, BI, engineering, data science, AI, automation or governance. Degree or equivalent experience … relevant discipline. Proficiency in SQL and at least one of Python, R, DAX or Power Query. Strong analytical and problem‐solving skills with messy or incomplete data. Ability to translate business requirements into clear data or technical outputs. Strong written and verbal communication, including explaining technical content to non‐technical ...

Data Science, Computer Science, Engineering, Information Systems, Mathematics, Statistics, Economics, Business Analytics or a related field. Proficiency in at least one programming language (e.g., SQL, Python, R). Core experience and skills 2–8 years in data, analytics, BI, engineering, data science, AI, automation or governance. Proficiency in SQL ...

environments. Proven experience building, publishing, and supporting dashboards and reports using Power BI Strong experience and programming skills in languages such as Python and SQL and the ability to write complex SQL queries. Project experience using one or more of the following technologies: Tableau, Power BI, Cloud, Azure ...

services. Technical Leadership: Oversee data modelling, data governance, and data quality frameworks while driving technical excellence. Strong hands‐on experience in technologies such as SQL, Python, Spark, and modern cloud data services. Collaborate with engineering and DevOps teams to establish CI/CD architectures using Azure DevOps, Kubernetes, and Terraform. … expert in Data Architecture, Data Modelling, Engineering, and data platform design. Experience utilising distributed and non‐distributed compute architectures with strong proficiency in Python, SQL, Spark, and Scala. Experience architecting CI/CD frameworks (Azure DevOps, GitHub Actions, Jenkins) with real‐world platform lifecycle management. Infrastructure‐as‐Code expertise (Terraform ...

services. Technical Leadership: Oversee data modelling, data governance, and data quality frameworks while driving technical excellence. Strong hands‐on experience in technologies such as SQL, Python, Spark, and modern cloud data services. Collaborate with engineering and DevOps teams to establish CI/CD architectures using Azure DevOps, Kubernetes, and Terraform. … expert in Data Architecture, Data Modelling, Engineering, and data platform design. Experience utilising distributed and non‐distributed compute architectures with strong proficiency in Python, SQL, Spark, and Scala. Experience architecting CI/CD frameworks (Azure DevOps, GitHub Actions, Jenkins) with real‐world platform lifecycle management. Infrastructure‐as‐Code expertise (Terraform ...

Apache Kafka and Apache NiFi for streaming, ingestion and orchestration. Experience working with Hadoop, Hive or comparable enterprise data-lake technologies. Solid knowledge of SQL, data transformation, data modelling and large-scale data processing. Experience integrating REST APIs, including authentication, pagination, rate limiting and error handling. Understanding of data reconciliation ...

point of escalation for decisions that impact your area of work - Demonstrable experience of building data pipelines using Spark, Python or SQL - Experience working with AWS and its data and AI/ML services such as SageMaker - Experience of big data and lakehouse platforms on AWS (EMR, Databricks or Snowflake ...

point of escalation for decisions that impact your area of work - Demonstrable experience of building data pipelines using Spark, Python or SQL - Experience working with AWS and its data and AI/ML services such as SageMaker - Experience of big data and lakehouse platforms on AWS (EMR, Databricks or Snowflake ...

point of escalation for decisions that impact your area of work - Demonstrable experience of building data pipelines using Spark, Python or SQL - Experience working with AWS and its data and AI/ML services such as SageMaker - Experience of big data and lakehouse platforms on AWS (EMR, Databricks or Snowflake ...