501 to 525 of 2,971 SQL Jobs in London

infrastructure. Proficiency in multiple programming/scripting languages (e.g., Python, JavaScript, C++, Node.js). Experience designing and managing cloud platforms (AWS, Azure, GCP), databases (SQL/NoSQL), and real-time analytics. Demonstrated experience working with or deploying AI/ML models, especially in edge or IoT contexts. Understanding of Digital More ❯

infrastructure. Proficiency in multiple programming/scripting languages (e.g., Python, JavaScript, C++, Node.js). Experience designing and managing cloud platforms (AWS, Azure, GCP), databases (SQL/NoSQL), and real-time analytics. Demonstrated experience working with or deploying AI/ML models, especially in edge or IoT contexts. Understanding of Digital More ❯

years of experience working with Databricks in a production environment. Strong background in ETL/ELT pipeline design and implementation within Databricks. Proficiency in SQL, Python, and PySpark for data processing and analysis. Experience with streaming technologies such as Kafka for real-time data processing. Experience in data migration and More ❯

skills , with a keen eye for detail. Ability to work with large datasets and perform data mapping and validation . Hands-on experience with SQL, Power BI, APIs, or scripting languages . Familiarity with technical troubleshooting, system configurations, and implementations . Exceptional written and verbal communication skills , able to explain More ❯

visualization. Experience developing and implementing data-driven strategies within a fast-paced environment. Excellent analytical skills with proficiency in data analysis tools and methodologies (SQL, Tableau, Python). Experience collaborating with cross-functional teams across an organization. Strong communication, presentation, and interpersonal skills with the ability to influence and inspire More ❯

reliability, and scaling) of new and existing systems experience Experience partnering with product or program management teams. Strong software development skills in JavaScript, Node.js, SQL, CSS, HTML, and languages such as Java, PHP, Python, or similar. Strong understanding of cloud environments and toolchains. Strong written and oral communication skills. Desire More ❯

and development, and familiarity with web services architecture. Ability to write efficient, secure, well-documented, and clean JavaScript code. Familiarity with database technologies, both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB), and an understanding of data modeling principles. Strong problem-solving skills and the ability to work independently or More ❯

or Master's degree in any of the following fields: computer science, statistics, mathematics, physical sciences with strong understanding of data analytics. Proficiency in SQL (to feel comfortable manipulating data, creating scripts that combine different data sources and interpret results) and Python/R (data exploration, analysis, visualization). Strong More ❯

aligned qualification essential) and practical experience of a range of quantitative and qualitative analytical techniques, with expertise in several specific, technical areas (for example: SQL, Python (preferred), mathematical modelling, sampling and statistical theory, systems thinking and operational research methods). Strong communication skills, both verbal and written - you can explain More ❯

of using specialist digital/web tools and software packages (e.g. Content Square, Monatate) Experience of using specialist marketing research tools. Excellent Knowledge of SQL and Power BI. Experience with enterprise analytical tools (e.g. Coremetrics, Omniture, Google Analytics etc.) Advanced Excel skills Experience in working with, and making sense of More ❯

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 More ❯

of using specialist digital/web tools and software packages (e.g. Content Square, Monatate) Experience of using specialist marketing research tools. Excellent Knowledge of SQL and Power BI. Experience with enterprise analytical tools (e.g. Coremetrics, Omniture, Google Analytics etc.) Advanced Excel skills Experience in working with, and making sense of More ❯

guiding them through the analytics engineering journey. Convey technical concepts clearly to non-technical audiences. Requirements of the Role Key Skills Required Proficiency in SQL for querying, transforming, and managing data within databases. Experience in developing and optimising ETL/ELT pipelines and using DBT for data transformation and modelling. More ❯

C++). Machine Learning & AI Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, or similar libraries. Data Manipulation & Analysis: Strong skills in Pandas, NumPy, and SQL for handling and analysing large datasets. Cloud Computing: Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for AI model deployment. Data Visualisation More ❯

strategic alignment across the loyalty function. About you: 5+ years of experience in a relevant role Strong experience in data analytics Strong proficiency in SQL, GA4 Proficiency in Python (preferred)/R Experience with data visualisation tools such as Tableau Strong understanding of digital marketing channels Previous experience working as More ❯

C++). Machine Learning & AI Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, or similar libraries. Data Manipulation & Analysis: Strong skills in Pandas, NumPy, and SQL for handling and analysing large datasets. Cloud Computing: Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for AI model deployment. Data Visualisation More ❯

Developing software using modern practices in RESTful APIs. Full stack development of web applications, utilising tools like Flask, Django, React, etc. Administering databases in SQL or PostgreSQL. Developing integrations between RESTful APIs exposed by products and services across the business. Leveraging message queues like RabbitMQ and Kafka. Leveraging deployment tools More ❯

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 More ❯

of accounting principles, financial regulations, and taxation. Advanced Excel/Google Sheets and familiarity with accounting systems (EA use QuickBooks). Power BI and SQL a nice to have. Your personal attributes Strong analytical problem-solving skills with a keen attention to detail, but also the ability to speak broadly More ❯

merchant feedback What You'll Bring Must-Haves 5+ years experience in data engineering and data science roles Strong programming skills in Python and SQL Experience building NLP/ML models, particularly for text classification or sentiment analysis Background in developing data pipelines and ETL processes Proven ability to translate More ❯

/C++, .NET, C# or PL/SQL. Knowledge of operating systems (UNIX/Linux and Solaris, Windows) and of database management systems (Oracle, SQL Server, etc.). Experience of design & solution build, deployment and ongoing management of process. Support System Integration Testing, User Acceptance Testing, Production Rollout. Applied knowledge More ❯

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 More ❯

BASIC QUALIFICATIONS Experience working directly with business stakeholders to translate between data and business needs. Experience in scripting for automation (e.g. Python) and advanced SQL skills. Experience with theory and practice of design of experiments and statistical analysis of results. Additional experience with theory and practice of information retrieval, data More ❯

corporate actions, index/benchmark data, fund/account information. Awareness of typical technical landscape within modern enterprise SaaS Applications including MS Azure, Snowflake, SQL, ETL tools, and machine learning models. Knowledge of data vendors such as Bloomberg, Refinitiv, MSCI, etc., other index and ESG data providers. Hands-on experience More ❯

and Salesforce skills; advanced skills in data visualization/reporting solutions (e.g., Tableau, Looker, Salesforce reports and dashboards), advanced data programming languages such (e.g. SQL, R, Python) is a huge plus Ability to design, develop and continuously enhance complex business and financial models to drive efficiency and growth Experience and More ❯