2,126 to 2,150 of 11,575 SQL Jobs in England

the intersection of technology and finance, tackling complex challenges in a fast-paced, impact-driven environment. You should have a strong background in software development, expert level knowledge of SQL, and a good understanding of crypto trading. You should have the ability to work independently, have strong analytical and problem-solving skills, with a desire to own issues and see More ❯

to identify opportunities and ensure solutions are grounded in reality. What we're looking for 6+ years of experience as a data analyst or in a similar role. Excellent SQL skills and experience with BI/data visualisation tools. Excellent analytical and problem-solving skills, with a proven ability to derive insight and drive change from data. Effective communication skills More ❯

Hands-on experience with FDBI, HDL, BIP, OTBI, Snart View, OIC and REST/SOAP APIs. Proven experience in large-scale data migration projects. Expertise in SAL, PL/SQL and Oracle database technologies. Strong knowledge of data governance, data quality frameworks and compliance standards (e.g., GDPR, SOZ). Experience with Oracle SaaS-PaaS integration. Excellent communication and stakeholder management More ❯

well as DNS, firewalling, load-balancing and global traffic management. You are familiar with, and able to install, configure and manage various persistence technologies, including database technologies (NoSQL/SQL) and broker/queuing systems (e.g. Kafka, SQS), including knowledge of HA/clustering. You are comfortable with various logging, monitoring and alerting platforms and have expertise in the usage More ❯

Technical Documentation. Responsible for software packages, production data management tools and embedded device FW. What You Need to Succeed Significant hands on and commercial experience with C++, C#, .NET, SQL, TypeScript, Python or similar. Commercial experience of leading, managing and directing software teams (at least 3 years). Degree educated in Engineering, Computer Science, Mathematics, Physics or related field. Extensive More ❯

governance, data strategy, and enterprise data architecture. Proven ability to manage enterprise-level stakeholders and cross-functional teams. Experience with BI tools (Power BI, Tableau) and data analytics languages (SQL, Python). Familiarity with Salesforce, Dynamics 365, or similar enterprise systems. Excellent communication, collaboration, and stakeholder management skills. Nice-to-Haves Knowledge of Kafka, Snowflake, or Databricks. Experience with AI 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 ❯

by working alongside product managers, developers, analysts, and QA. Clearly communicate model results and insights to stakeholders for data-driven decisions. Skills, Knowledge & Expertise Strong proficiency in Python and SQL for data manipulation and model development. Solid understanding of ML theory and practical application. Strong understanding of statistical concepts (e.g., hypothesis testing, sampling, probability distributions). Experience with ML libraries More ❯

experience in customer segmentation, with a focus on customer/marketing data. Experience working with CRM, CDP, analytics platforms, and data visualization tools (e.g., Google Analytics, Tableau, Power BI, SQL). Familiarity with customer segmentation, predictive modelling, and other statistical techniques. Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights. Ability to work More ❯

succeed: 5+ years Data Engineering experience Good experience in Data Application management Experience in Mainframe technologies - COBOL, JCL, TSO, ISPF, ENDEVOR, SDSF, JMR, IBM File Manager SAS programming skills SQL experience Experience of Oracle, PowerBI, Snowflake, JAVA, Microsoft technologies desirable R and Python experience desirable Experience in developing and productionizing complex data engineering solutions. Strong problem-solving skills with attention More ❯

equivalent practical experience. 8+ years of professional experience in software development, with demonstrable technical leadership. Essential Experience : Strong hands-on experience with Node.js, TypeScript/JavaScript, React (or Remix), SQL/NoSQL databases, and CSS. Proven track record of leading Agile development teams. Experience designing and building cloud-based, scalable applications. Familiarity with test-driven development (TDD) and version control More ❯

management, and distribution processes Strong analytical skills and ability to analyse complex data sets, identify trends, and derive meaningful insights Proficiency in data analysis tools and techniques, such as SQL, Excel, or data visualization software (e.g., Tableau, Power BI) Knowledge of logistics systems and software (e.g., WMS, WCS, TMS) is preferred Excellent communication and presentation skills, with the ability to More ❯

confidentiality. High order of literacy, numeracy, analytical and problem-solving skills. Advanced IT skills of Microsoft Access, PowerBI and Excel including the ability to write Visual Basic and Transaction SQL statements. Ability to work under pressure and to set deadlines To Apply send your CV to nik.rodway@futureelectronics.com About Future Electronics Headquartered in Montreal and operating in 150 locations in More ❯

the job! Essential MSc or PhD, or equivalent experience in a quantitative field Deep theoretical knowledge of statistical methods and ML algorithms and their practical applications. Strong proficiency in SQL and Python, especially with core ML libraries (e.g. scikit-learn, XGBoost, SciPy, PyTorch) Extensive hands-on experience in taking advanced statistical/ML solutions from prototype to production and delivering More ❯

solutions, from robust data ingestion and pipeline development to sophisticated data modelling and impactful dashboard creation using tools like QuickSight and Astrato. Proficiency in key data programming languages, particularly SQL and Python. Demonstrated experience in collaborating with stakeholders and managing analytical tasks from concept to delivery. Understanding of data privacy and security best practices, coupled with experience in CI/ More ❯

accuracy and agility Have 1-2 years of experience in a data driven analyst role (commodity market experience, particularly Oil market exposure would be beneficial) Possess intermediate to advanced SQL skills (experience with Python, Dataiku, Streamlit, or Tableau is a plus) Demonstrate strong logical thinking and attention to detail Are comfortable working with large, disparate, or unstructured datasets Have excellent More ❯

act as a strong advocate for the team. Innovative thinking to deliver business priorities for reporting and insights. Qualifications and other requirements High degree of competency across the Microsoft SQL stack and working knowledge with Python Experience in the Microsoft Azure suite advantageous. In return for your hard work, you’ll get It takes all kinds of people to make More ❯

Salesforce, Dynamics) in enhancement and support contexts. Familiarity with CPQ tools and their integration with CRM platforms is desirable. Strong understanding of data validation, reporting, and business intelligence tools. (SQL experience desirable) Experience working in Agile environments and using tools like Jira. Excellent communication and stakeholder management skills. Ability to work independently and manage multiple priorities in a temporary assignment More ❯

Subnet Groups, Route 53, IAM, Lambda, Quicksight, Amazon Q, and more Infrastructure: GitLab CI/CD, Terraform, Docker Monitoring: Dynatrace, Amazon RDS Performance Insights, AWS CloudWatch Languages: Bash, Python, SQL, PSQL Issue/Incident Tracking: Jira, ServiceNow Benefits Salary The salary for the role of Data Engineer pays up to GBP 52,000p.a . providing a fantastic opportunity for career More ❯

Pipelines, Azure DevOps (Repos, Pipelines, Artefacts). Expertise in Designing and implementing Codebase architectures such as package strategy, monorepo’s, code branching and code workflows. Experience with Cloud hosted SQL and noSQL databases. Experience with PaaS providers such as Vercel, Netlify and Amplify. Experience with Web Rendering approaches such as SSG, ISR, SSR, CSR and hybrid approaches. Experience developing PWAs More ❯

big data processing (Pandas, Numpy), using Python and REST APIs to retrieve, parse, update, and manipulate data and, more generally,a strong knowledge of ETL processes, integrating Python with SQL (MySQL, SQLite) and Oracle technologies (cx_Oracle), as well as using python to interact with MS Office applications. ·Desirable skills include use of ML libraries (Scikit-learn,Keras, Tensorflow), web More ❯

solutions, from robust data ingestion and pipeline development to sophisticated data modeling and impactful dashboard creation using tools like Quicksight and Astrato. Proficiency in key data programming languages, particularly SQL and Python. Demonstrated experience in client-facing or project leadership roles, managing external partner relationships and overseeing complex data initiatives from concept to delivery. Understanding of data privacy and security More ❯

Excel skills, having excellence in building management reports and an eye for excel report design. Experience creating and using MDX within dimensions and Active Forms. Strong experience of MS SQL or equivalent. Experience in the installation and upgrading of TM1 server and client software. Knowledge of version bugs and workarounds. Experience in maintenance of TM1 servers, monitoring performance using TM1 More ❯

customer segmentation, sensitivity analysis, ERP analytics Strong skills in using Excel for data analysis Experience with data visualisation software (PowerBI preferred) to create clear and insightful visualisations Experience using SQL suite of software including the ETL process Ability to present data and findings clearly and concisely to both technical and non-technical audiences. Ability to work collaboratively within a team More ❯

Post Office. A track record of actively promoting equality, diversity, and inclusion within all areas of responsibility and in particularly in Data & Analytics function. Expert proficiency in Python, R, SQL, and distributed computing frameworks (e.g., Spark, Hadoop). Advanced knowledge of data engineering tools (e.g., Airflow, Kafka, Snowflake, Databricks). Proficiency in machine learning frameworks (TensorFlow, PyTorch, Scikit-learn). More ❯