1,626 to 1,650 of 13,697 SQL Jobs in England

lead and develop teams in a dynamic and fast-paced environment. Strong understanding of SaaS metrics, customer analytics, and industry-specific KPIs. Proficiency in tools like Tableau, Power BI, SQL, and cloud platforms such as Snowflake or AWS. Expertise in data governance and compliance within the UK and EU regulatory context. Bachelor's Degree in Data Science, Computer Science, or More ❯

Risk, Liquidity, Safeguarding, Cash and Asset Management, as well as the Data Science team. Who You Are 2-4 years of experience in similar roles Strong analytical ability Advanced SQL skills Python/R Data visualisation and storytelling ability Ability to self organise and manage stakeholders Demonstration of impact/going above and beyond basic role requirements Desirable DBT Data More ❯

with Jest and Playwright or similar testing frameworks. REST APIs: Strong understanding of integrating and working with RESTful services. Data Skills: Experience in data wrangling/analysis (e.g., using SQL or Python, Jupyter Notebook). Collaboration: Experience working in an Agile environment (Scrum/Kanban). Problem-Solving: Strong analytical and troubleshooting skills. Familiarity with state management libraries (MobX, Redux More ❯

the wider Power Platform Proficient knowledge of data processing platforms, such as Databricks. Experience with Azure based solutions such as Azure Data Factory, Extensive experience with languages such as SQL and preferably Python & PySpark. Version control and best practices using Github Strong commercial awareness - able to understand business processes and ensure technical solutions solve real-world problems. Strong communication skills More ❯

Methodology: Participate in Agile development cycles, contributing to sprint planning, code reviews, and continuous delivery. Key Skills/Experience: Experience with building and maintaining RESTful APIs. Solid understanding of SQL and NoSQL databases (e.g., MongoDB, PostgreSQL, MySQL). Familiarity with authentication and authorisation mechanisms (OAuth, JWT, etc.). Experience with version control systems like Git and GitHub/GitLab. Familiarity More ❯

a focus on cloud-based data pipelines and architectures Strong expertise in Microsoft Fabric and Databricks, including data pipeline development, data warehousing, and data lake management Proficiency in Python, SQL, Scala, or Java Experience with data processing frameworks such as Apache Spark, Apache Beam, or Azure Data Factory Strong understanding of data architecture principles, data modelling, and data governance Experience More ❯

University degree or equivalent experience preferred. Experience in using APIs to get price from Refinitiv, Bloomberg or other market data source. Familiarity with different persistent storage technologies involving both SQL and NoSQL. Experience working within an Agile (XP) environment. What we'll provide you By joining Citi London, you will not only be part of a business casual workplace with More ❯

England, United Kingdom 1 week ago London, England, United Kingdom 6 days ago Data Management Analyst - 12 month contract London, England, United Kingdom 1 week ago Data Analyst - Advanced SQL - Data Analysis and Customer Insight London, England, United Kingdom 4 days ago London, England, United Kingdom 3 weeks ago Data Management Analyst, 12:00pm- 8:00pm BST Sandwich, England, United More ❯

develop a roadmap and manage expectations of more senior colleagues. Essential YOUR SKILLS AND EXPERIENCE Degree level (or above) education in STEM subject, or equivalent experience Experience of using SQL for combining and transforming data from various tables and sources Proficiency in the use of data visualisation tooling (Tableau preferred) Experience developing collaborative relationships across a complex corporate or public More ❯

You 3-5+ years in a data analytics/data science role, ideally focused on marketing, product, or growth. 3-5+ years experience with data querying languages (SQL). Direct, hands-on experience analysing performance data within digital marketing platforms , especially Google and Meta Ads. A proven track record of using data to drive tangible business outcomes , such More ❯

web-based development, including REST APIs and JS frameworks such as VueJS/Angular/React. Experienced with diverse cloud platforms (AWS, Azure, GCP, CloudStack, OpenStack). Experienced with SQL and NoSQL databases. Experienced with CI/CD environments. Familiar with container technologies (Docker, Kubernetes, Rancher, OpenShift). Proficient in agile programming practices. Strong analytical mind with a good dose More ❯

field. Alternatively, relevant experience in the data engineering field. Experience in data engineering or a related field. Proficiency in programming languages such as Python, Spark, SQL. Strong experience with SQL databases. Expertise in data pipeline and workflow management tools (e.g., Apache Airflow, ADF). Experience with cloud platforms (Azure preferred) and related data services. There's no place quite like More ❯

third-party APIs, cloud platforms, and existing legacy systems where necessary. Own and evolve database design, models, and schemas to support new features and improve system efficiency. Craft performant SQL queries, stored procedures, and triggers to support mission-critical features and ensure application responsiveness. Comfortable working with AI-powered tools (e.g., GitHub Copilot, Cursor, code generation, test automation, etc.) to More ❯

GitHub Action s . Coding skills in one or more of the following:" Python, Java/Groovy, JavaScript, NodeJS . Expertise in IT infrastructure, including" Linux administration, database management (SQL and NoSQL), storage solutions (NAS, SAN, S3), networking (DNS, VPN, Load Balancing), and cybersecurity principles . Strong analytical and" problem-solving skills , with a proactive approach to identifying and resolving More ❯

is a plus Knowledge of technology controls around Cloud Computing reviews - AWS, Azure and Google cloud is a plus Knowledge of systems and databases such as Windows, UNIX, MS SQL and Oracle is an advantage Knowledge of the network devices (e.g., routers, switches, firewalls and load balancers) is a plus Relevant certifications are a plus Experience Required Several years of More ❯

e.g., Docker, Kubernetes) Monitoring and Logging: Experience with monitoring and logging tools like DataDog, Prometheus, or Grafana Data Engineering Skills: Knowledge of event streaming platforms (e.g., Apache Kafka) and SQL database management Strong Communication and Collaboration: Excellent communication skills and the ability to work effectively in a remote, collaborative environment Nice To Haves Experience with infrastructure-as-code tools like More ❯

such as ELK: Elastic Search, Kibana). Experience with data visualization tools (e.g., Grafana, Power BI, Tableau). Proficient in data analysis for various data formats (e.g., JSON, CSV, SQL). A strong understanding of the Commodities Trading landscape (both physical and financial). Self-motivated and able to work within a team environment. Ability to grasp complex business issues 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 ❯

PySpark, Scala, etc (minimum 2) Extensive Data Engineering and Data Analytics hands-on experience (coding/configuration/automation/monitoring/security/etc) FME Advanced Database and SQL skills Certifications AWS or FME certifications are a plus. Nice to have skills: Experience with ETL tools such as AWS Glue, Azure Data Factory, Databricks, etc. Join us and lead More ❯

University degree or equivalent experience preferred. Experience in using APIs to get price from Refinitiv, Bloomberg or other market data source. Familiarity with different persistent storage technologies involving both SQL and NoSQL. Experience working within an Agile (XP) environment. What we'll provide you By joining Citi London, you will not only be part of a business casual workplace with More ❯

z2bz0 years of experience in underwriting, quantitative analysis, or risk modeling in the insurance industry Knowledge of underwriting, pricing, reserving, or risk management processes in insurance Advanced SQL skills for querying complex databases and joining disparate data sources Expertise in data manipulation and analysis using Python, R, or similar analytical tools Experience with data visualization tools (e.g., Tableau, Power BI More ❯

data technologies such as Apache Spark, and knowledge of Hadoop ecosystems. Knowledge of programming languages such as Python, R, or Java is beneficial. Exposure to ETL/ELT processes, SQL, NoSQL databases is a nice-to-have, providing a well-rounded background. Experience with data visualization tools and DevOps principles/tools is advantageous. Familiarity with machine learning and AI More ❯

Provide support and guidance to junior data engineers. Qualifications & Experience Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent experience (essential). Proficiency in SQL and data modeling (essential). Experience with ETL tools and processes (essential). Knowledge of cloud-based data platforms (e.g., AWS, Azure) (desirable). Strong problem-solving and analytical skills More ❯

tools and technologies Deep understanding of software architecture, object-oriented design principles, and data structures Experience in JavaScript/TypeScript and Cypress framework Experience in MySQL like databases and SQL Demonstrated ability to be proactive, self-driven, and make practical trade-offs based on business needs, and entrepreneurial spirit Excellent verbal and written communication skills BS or MS degree in More ❯

both business leaders and technical teams Direct experience working with social and digital platforms such as Meta, Amazon, Google to onboard datasets an advantage Proficiency working with data in SQL and Python (Pandas, NumPy preferred) Knowledge of statistical testing methodologies Experience with BI tools (Tableau, PowerBI preferred) Experience with cloud computing services & solutions (AWS, Azure, GCP, Amazon Marketing Cloud, Snowflake More ❯