776 to 800 of 4,860 SQL Jobs in England

ready to help guide and shape teams towards the best solution. Understand that a report is only successful if it is used and adopted. You will be capable with SQL , with a desire to continually develop your data analyst skills. Opportunities to extend further into Python are available. You will have experience with BI visualisation tools (Tableau, Power BI, Looker... More ❯

analysis. (The ability to make the complex simple for end users). Strong data skills and use of Excel/Google Sheets. Desirable: A practical understanding of Power BI, SQL, GIS. What's next? Apply today, so we can make a difference for generations to come. We're proud to have been named as one of The Sunday Times Best More ❯

analysis. (The ability to make the complex simple for end users). Strong data skills and use of Excel/Google Sheets. Desirable: A practical understanding of Power BI, SQL, GIS. What's next? Apply today, so we can make a difference for generations to come. We're proud to have been named as one of The Sunday Times Best More ❯

control systems, such as GIT, including branching, merging, etc. Testing: TDD, unit testing, JUnit, Mockito, Cypress Good knowledge of relational databases such as MySQL and PostgreSQL including data modelling, SQL scripts, store procedures Shift to the left: Functional test automation (API testing, UI testing cucumber, nightwatch ) Nice to have skills: AWS Knowledge of Open Source BPMN workflow engines (Camunda, Activiti More ❯

by demonstrating approaches such as CI/CD standard methodology, Pair Programming, TDD, and BDD. Technical understanding of: Spring boot, Maven, GitHub, Jenkins, JSON, Kafka, WMQ, REST APIs, Database SQL, Docker and Kubernetes Experience working on any one of the cloud-based tools - GCP, MS Azure, AWS Nice to have skills: Experience in Banking domain with experience of working in More ❯

Understanding of Cloud-based architectures in AWS or Azure Use of DevOps Automated Deployment tools such as Jenkins, Gitlab, Docker, OpenShift or Kubernetes Understanding of database technologies such as SQL, Elasticsearch or MongoDB Role clearance type: You must currently hold the highest level of UK Government clearance Our requirement team is on hand to answer any questions and we will More ❯

other related field • Relevant work experience in data science, business analytics, business intelligence (BI), or comparable experience in big data environments • Experience in data mining and dataset preparation using SQL • Experience in data visualization tools like Tableau or Quicksight • Experience writing scripts using Python • Proficiency in Microsoft Office Suite • Good critical thinking skills and attention to detail • 3+ years of More ❯

as application architecture is expected. Expertise in data modelling tools and methodologies. Experience in leading data architecture projects and/or teams. Proficiency in database management systems (DBMS) like SQL Server, Oracle, MySQL, and big data solutions using technologies such as no-SQL. Experience in using cloud services such as AWS, Azure, or Google Cloud Platforms. Additional Information Occasional travel More ❯

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 ❯

Advanced writing skills, including the ability to abstract/summarize highly detailed information Strong analytical skills, including the ability to reconcile conflicting data Strong technical background including familiarity with SQL Demonstrated planning and scheduling skills Knowledgeable in one or more CRD functional financial areas and State Street Alpha strongly desired. Curiosity and interest in financial markets and trading.Experience in financial 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 ❯

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 ❯

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 ❯

dynamics Demonstrable interest in long-term actuarial modelling role Familiarity with the Bermuda (BMA) regulatory framework is a plus Wider programming and scripting skills are a plus, e.g. Python, SQL, R or VBA Advanced understanding of Microsoft Excel and Word Excellent written and verbal communication skills, and the ability to build and manage relationships with stakeholders in Actuarial and non 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 ❯