976 to 1,000 of 5,655 SQL Jobs in the UK

Java , Spark , Scala ( or Java) Production scale hands-on Experience to write Data pipelines using Spark/any other distributed real time/batch processing. Strong skill set in SQL/Databases Strong understanding of Messaging tech like Kafka, Solace , MQ etc. Writing production scale applications to use the Caching technologies. Understanding of Data virtualization Production management (L3 support) experience More ❯

Computer Science, Data Science, or related fields. Experienced in data science, machine learning and football analytics. Technical Skills: Strong experience with tracking data model development. Proficiency in Python and SQL for data analysis and model development. Strong experience handling large-scale datasets, including tracking and event-based data. Strong experience with statistical modelling, predictive analytics, and machine learning techniques. Ability More ❯

Find opportunities for scaling solutions across multiple regions and support pre-sales technical scoping. Qualifications: Proven experience in applying data science within a commercial environment. Advanced proficiency in Python, SQL and large dataset processing; experience with PySpark and cloud platforms like Azure and Databricks. Strong experience in developing statistical and machine learning models for business optimisation. Ability to lead programs More ❯

to Microsoft Azure. Deep understanding of DevOps practices and cloud networking. What You Will Have Proficiency in core Azure services such as Azure Virtual Machines, Azure App Services, Azure SQL Database, and Azure Functions. Expertise in cloud architecture, including designing and implementing public and private cloud solutions. Strong data management skills, including data storage solutions, data migration, and database management More ❯

SITS to ensure data integrity, improve user experience, and support institutional objectives. A key focus is delivering high-quality reports and actionable insights through tools such as Power BI, SQL, and Power Automate-both proactively and in response to user needs. The post-holder plays a central role in maintaining the accuracy and quality of doctoral student data, collaborating with More ❯

analytical, and ready to challenge the status quo. You'll have: A degree in a numerate subject (e.g. Mathematics, Statistics, Economics, or similar). Strong hands-on experience with SQL, SAS, Python or equivalent - you can interrogate large datasets with confidence. Advanced Excel skills. Experience with fraud strategy, credit risk, or related analytics (experience with FICO Blaze Advisor or other More ❯

as evidenced by publications and preprints. Strong breadth and expertise in Statistical analysis, machine learning, data visualization, programming (Python, R, etc.), data cleaning and data manipulation. Tools: Python, R, SQL, TensorFlow, Scikit-learn, Tableau, Power BI. Ability to generate high quality ideas and be self-driven to explore. Strong experience in programming and comfortable modifying existing code-base. Experience with More ❯

complex issues and optimize performance. It would be a plus if you also possess previous experience in: TDD/ATDD/BDD , DDD , Pair/Ensemble Programming Wildfly , Oracle SQL , AWS , Docker/Kubernetes , Kafka, Jenkins GWT, Jest , Vite , Cypress, P laywright , eslint , esbuild , webpack, web components At IDBS we believe in designing a better, more sustainable workforce. We recognize More ❯

and building capabilities within HR functions Experience working with enterprise HRIS platforms (Workday, SAP SuccessFactors, Oracle HCM) Proficiency with data analytics tools and languages (Power BI, Tableau, R, Python, SQL) Demonstrated ability to influence, collaborate and manage change with key stakeholders across global, matrix organizations Knowledge of emerging technologies including GenAI and their application to HR These are additional Nice More ❯

of new features and initiatives. Promote data literacy across the organization. Champion the adoption of data-driven decision-making and best practices throughout Freetrade. About you Solid experience with SQL for data extraction, manipulation, and analysis. Confident, practical experience with data visualization tools (e.g., Tableau, Power BI) and creating compelling dashboards and reports. Proven ability to connect KPIs and analysis More ❯

sets of dashboard solutions Experienced in collaborative design with business users Ability to perform data blending, data aggregation and complex calculated fields when required Possess hands on experience with SQL and knowledge of data warehousing and dimensional modelling will be advantageous Experience using large data platforms such as Snowflake, Databricks or similar Exposure to other visualisation platforms is helpful, but More ❯

programs (Excel, PowerPoint, Outlook). PREFERRED QUALIFICATIONS - Additional proficiency in the following languages is desirable: Spanish or German. - Experience using analytical, sales, and productivity tools including Salesforce, Google Analytics, SQL, HTML or website content management systems. - Analytical problem-solving ability, with experience in data analysis, reporting, and forecasting to guide business decisions. - A Master's degree (preferably in business management More ❯

Snowflake, including performance optimisation, cost management, and advanced data warehousing techniques. Experience in designing and implementing scalable data architectures that meet the needs of complex, data-driven organisations. Strong SQL skills and a solid understanding of relational databases (e.g., PostgreSQL). Bonus: Advanced LookML knowledge and experience building data visualisation tools. Skilled in building and managing real-time and batch More ❯

drawbacks. Proven experience applying statistical and modeling techniques to solve complex business problems in real-world scenarios. Proficiency in Python (for statistical and ML package tools). Proficiency in SQL and working with large-scale databases. Comfortable researching and adopting new methods, tools, and techniques, and able to mentor junior colleagues on their application. Essential Qualities: Highly accountable self-starter More ❯

drawbacks. Proven experience applying statistical and modeling techniques to solve complex business problems in real-world scenarios. Proficiency in Python (for statistical and ML package tools). Proficiency in SQL and working with large-scale databases. Comfortable researching and adopting new methods, tools, and techniques, and able to mentor junior colleagues on their application. Essential Qualities: Highly accountable self-starter More ❯

drawbacks. Proven experience applying statistical and modeling techniques to solve complex business problems in real-world scenarios. Proficiency in Python (for statistical and ML package tools). Proficiency in SQL and working with large-scale databases. Comfortable researching and adopting new methods, tools, and techniques, and able to mentor junior colleagues on their application. Essential Qualities: Highly accountable self-starter More ❯

trusted advisor, you'll support customers in reaching their goals and maximizing Taktile's impact. If you're passionate about tech and AI, and have extensive experience with Python, SQL, and REST APIs, you'll thrive here. This role is also open to fresh graduates. What You'll Do as Senior Forward Deployed Engineer, Insurance Lead complex Taktile deployments in More ❯

Proven experience of change management skills. Core technical skills: Strong knowledge of data science fundamentals (Machine Learning methods, Statistics). Fluent in common analytics tools (Python, Pandas, Numpy, ScikitLearn, SQL, etc.) Comfortable to use data visualization libraries (e.g. Seaborn, Matplotlib) Demonstrated initiative, judgment and discretion while handling sensitive information Preferred Qualifications: If you have the following characteristics, it would be More ❯

and experience of geoservers, spatial projections, raster and vector manipulation within python and usage of GDAL Experience with AWS and data management tools, including data lake, data warehouse ETL, SQL based storage and PostgreSQL. Ability to designand implement data pipelines and data-related solutions, ideally within a cloud environment Strong ability to document development including database design, application design and More ❯

quantitative field (e.g. Math, Economics, Computer Science, Engineering, etc.) 5+ years of experience in an analytical role, with at least some exposure to operational or product-facing analytics Advanced SQL skills and experience working with large datasets Excellent communication skills and a proven ability to turn complex data into compelling narratives for a range of stakeholders Experience with BI tools More ❯

you can translate technical jargon into simple, clear descriptions so understanding is achieved. Experience of using agile techniques/methodologies. Understanding of full stack web technologies. Practical knowledge of SQL and NoSQL databases. Application of industry standard software development working practices such as test-driven and behaviour-driven development (TDD/BDD), pair programming, version control and branching strategies. Application More ❯

reporting platforms (e.g. PL-300, PL-400). Technical Skills: Familiarity with data governance tools and platforms to ensure data quality, integrity, and compliance across the organisation. Proficiency in SQL and experience with data warehouse technologies for managing, querying, and optimising large datasets. Experience with data analytics and reporting platforms, business intelligence solutions, and automation tools (e.g. Power BI, Power More ❯

Expert knowledge of Web based visualisation tools, e.g. PowerBI/Tableau Expert knowledge of Analytic methodologies Proficiency in statistical packages, or programming languages or data science tools such as SQL, R, Python, Azure Machine Learning, etc. Visualisation, including demonstrable design knowledge, such as layout, typography, colour and interaction design Disclosure and Barring Service Check This post is subject to the More ❯

building of resilient Data Models and robust design of data marts to support reporting and analytical requirements. Manage the creation & development of end-to-end ETL routines using Pentaho, SQL, EDQ and PLSQL. Provide technical expertise to the team for Data Warehouse design, development, and implementation. Manage the embedding of best practice and continual improvement for all aspects of the More ❯

analytical and problem-solving skills, able to interrogate complex, cross-system data and turn insights into clear actions. Comfortable working with large datasets and ERP tools such as Excel, SQL, Power BI, and Microsoft Dynamics 365 for reporting, reconciliations, and configuration. A process-oriented mindset with a passion for continuous improvement and operational excellence across contracting, delivery, billing, and finance More ❯