51 to 75 of 1,964 SQL Jobs in the UK excluding London

insight actionable, and influence decisions. Strong understanding of data models and analytics; exposure to predictive modelling and machine learning is a plus. Proficient in SQL and Python, with bonus points for PySpark, SparkSQL, and Git. Skilled in data visualisation with tools such as Tableau or Power BI. Confident writing efficient ...

insight actionable, and influence decisions. Strong understanding of data models and analytics; exposure to predictive modelling and machine learning is a plus. Proficient in SQL and Python, with bonus points for PySpark, SparkSQL, and Git. Skilled in data visualisation with tools such as Tableau or Power BI. Confident writing efficient ...

insight actionable, and influence decisions. Strong understanding of data models and analytics; exposure to predictive modelling and machine learning is a plus. Proficient in SQL and Python, with bonus points for PySpark, SparkSQL, and Git. Skilled in data visualisation with tools such as Tableau or Power BI. Confident writing efficient ...

insight actionable, and influence decisions. Strong understanding of data models and analytics; exposure to predictive modelling and machine learning is a plus. Proficient in SQL and Python, with bonus points for PySpark, SparkSQL, and Git. Skilled in data visualisation with tools such as Tableau or Power BI. Confident writing efficient ...

insight actionable, and influence decisions. Strong understanding of data models and analytics; exposure to predictive modelling and machine learning is a plus. Proficient in SQL and Python, with bonus points for PySpark, SparkSQL, and Git. Skilled in data visualisation with tools such as Tableau or Power BI. Confident writing efficient ...

insight actionable, and influence decisions. Strong understanding of data models and analytics; exposure to predictive modelling and machine learning is a plus. Proficient in SQL and Python, with bonus points for PySpark, SparkSQL, and Git. Skilled in data visualisation with tools such as Tableau or Power BI. Confident writing efficient ...

stories, make insight actionable, and influence decisions.Strong understanding of data models and analytics; exposure to predictive modelling and machine learning is a plus.Proficient in SQL and Python, with bonus points for PySpark, SparkSQL, and Git.Skilled in data visualisation with tools such as Tableau or Power BI.Confident writing efficient code ...

insight actionable, and influence decisions. Strong understanding of data models and analytics; exposure to predictive modelling and machine learning is a plus. Proficient in SQL and Python, with bonus points for PySpark, SparkSQL, and Git. Skilled in data visualisation with tools such as Tableau or Power BI. Confident writing efficient ...

Power BI, Power Apps, Power Automate) Strong stakeholder management and communication skills Experience working in Agile, cross-functional teams Desirable Experience with Microsoft Fabric SQL, Python or R for advanced analytics CI/CD pipelines and version control (e.g. Git) Microsoft certifications (PL-300, PL-400, DP-600) Why Join ...

ongoing data quality, governance and process improvement initiatives Skills & Experience Required Strong experience with Power BI (DAX, data modelling and dashboard development) Confident using SQL for data extraction and manipulation Experience working with API-driven data sources Ability to present insights clearly to non-technical stakeholders Understanding of data architecture ...

processes. Provide ad-hoc support for data engineering tasks to ensure reliability and availability of critical datasets. Key Requirements: Strong experience in Power BI, SQL, and Python is essential. Experience with Azure and Microsoft Fabric. Knowledge of BI engineering concepts, including data modelling, ETL, pipelines, and backend data management. Experience ...

maintain API automation using tools like Postman, RestAssured, or SoapUI . Perform database testing , including validation of ledger entries, transactions, and backend workflows using SQL, Oracle, and CockroachDB . Develop and manage automated test suites using JUnit, TestNG, PyTest, and Cucumber . Integrate automated tests into CI/CD pipelines ...

Learning from and supporting the new Data Engineering Lead, Linda. Skills & Experience Experience in data engineering, ETL/ELT development, or data warehousing. Strong SQL skills and experience with Snowflake, Netezza, or similar DW platforms. Understanding of data modelling and pipeline design. Ability to articulate technical concepts clearly. A collaborative ...

experience in Data Engineering or cloud-based data roles. Strong expertise in Azure cloud services and Databricks . Advanced proficiency in Python and SQL for data engineering. Experience with ETL/ELT tools and orchestration frameworks (e.g., Airflow, dbt). Strong knowledge of data warehousing and cloud-based data architectures. ...

design/architectural patterns like MVC. Experience consuming data from web services using technologies such as web APIs, OAuth, and gRPC. Solid understanding of SQL and database design. Excellent troubleshooting and communication skills. Familiarity with Azure and AWS environments. Desirable Skills Knowledge of Entity Framework. Exposure to Java for Android ...

designing, building, optimising, deploying and managing business-critical machine learning models using Azure ML in Production environments. Experience in data wrangling using Python, SQL and ADF. Experience in CI/CD and DevOps/MLOps and version control. Familiarity with data visualization and reporting tools, ideally PowerBI. Good written ...

problem-solving skills, with a keen attention to detail. Proficiency in BI tools such as Power BI, Qlik, or Tableau. Solid understanding of SQL for data extraction and manipulation. Familiarity with programming languages such as Python or R for data analysis. Experience with statistical analysis methodologies and data visualization techniques. ...

extending Microsoft Dynamics 365 Business Central , including AL development. Hands-on expertise with Power BI report building, DAX, and data modelling. Knowledge of SQL, API integrations, and Microsoft Azure services (desirable). Understanding of CI/CD pipelines for Power Platform/BC (beneficial). Professional Skills Ability to work ...

promoting a self-serve analytical culture. What are the qualities that can help you thrive as a Data Engineer? Essential Experience and Qualifications: Strong SQL skills - Tables, Stored Procedures, performance tuning etc. Experience with Azure ETL tools - Azure data Factory/Synapse Strong experience in Data movement methodologies and standards ...

data engineering, including designing and developing data pipelines for retrieval/ingestion/presentation/semantics in an Azure environment. Strong ADF, DataBricks, SQL, Python, Power BI Data acquisition from various data sources including Salesforce, API, XML, JSON, Parquet, flat file systems and relational data. Excellent team player able ...

advocate for using the right tech for the right task, we often leverage the following technologies: Python, TypeScript/JavaScript, React, Node, Flask, SQL, cloud infra, CI/CD). Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment. Strong communication skills, both verbal ...

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 ...

Finance, Economics, Mathematics, Statistics, or a related field. Confident Excel skills and strong attention to detail. Curiosity about tools such as Power BI, SQL, Python, or R. An interest in how data influences financial performance. Clear communication skills and a collaborative mindset. What’s on Offer Salary ...

data standards (e.g., SNOMED CT, HL7, FHIR), clinical workflows, and interoperability requirements. Proficiency with ETL tools, data integration platforms, and database technologies (SQL, NoSQL, cloud-based solutions). Experience designing and implementing data warehouses, data lakes, and reporting solutions. Knowledge of data governance, information security, and GDPR compliance. Excellent stakeholder ...

time used as part of off-the-job training. Microsoft Office Specialist: Excel Associate Data and Visualisation using SAS® Data Analysis and Statistics SQL and Data Modelling Exploring Data Science using Python and R Data Challenge workshop Online development sessions (Optional) This role will be supporting our delivery function ...