551 to 575 of 1,281 SQL Jobs in London

prudential domains ensuring accuracy and completeness . Additional Requirements Experience in regulatory reporting projects, migration, remediation. Familiar with JIRA, Confluence, XRAY, MS Office, SQL (Excel strong; VBA preferred) . Experience in Agile & Waterfall . Strong stakeholder engagement at senior levels. Vendor management experience (preferred). Qualifications Degree in STEM discipline ...

across all prudential domains ensuring accuracy and completeness. Additional Requirements Experience in regulatory reporting projects, migration, remediation. Familiar with JIRA, Confluence, XRAY, MS Office, SQL (Excel strong; VBA preferred). Experience in Agile & Waterfall. Strong stakeholder engagement at senior levels. Vendor management experience (preferred). Qualifications Degree in STEM discipline ...

constraints. Agile fluency: Jira and Confluence are part of your daily life. You handle ambiguity well and thrive in fast-moving environments. Python and SQL coaching ability: You can develop engineers, not just write clean code yourself. Bonus Experience Nice to have, but not required: Experience building new products from ...

analytical, and problem‐solving skills, with the ability to assess business impact and prioritize effectively Working knowledge of cloud‐based SaaS technologies, REST APIs, SQL, and familiarity with monitoring and data visualization tools (e.g., Kibana); experience with authentication frameworks such as SSO is advantageous Excellent communication skills, with the ability ...

analytics-heavy" background (roughly 75% analytics/25% data engineering) with a deep understanding of data platform architecture and data modeling. Tooling: Proficiency in SQL, Python, and Databricks is essential. Experience with Snowflake, Sigma, and dbt Cloud is highly preferred. Industry Context: Previous experience in Fintech (small to midsize ...

clustering, predictive modeling, reinforcement learning, and Bayesian statistics. Hands-on experience in software engineering, MLOps, and deploying machine learning models at scale. Proficiency in SQL, Python, and familiarity with big data technologies (e.g., Kafka, Spark) and/or cloud platforms (e.g., GCP, AWS, or Azure). Industry knowledge: Experience ...

clustering, predictive modeling, reinforcement learning, and Bayesian statistics. Hands-on experience in software engineering, MLOps, and deploying machine learning models at scale. Proficiency in SQL, Python, and familiarity with big data technologies (e.g., Kafka, Spark) and/or cloud platforms (e.g., GCP, AWS, or Azure). Industry knowledge: Experience ...

environments and know how to bring out the best in people. Technically strong: You're comfortable with modern data stacks like Databricks, Spark, Airflow, SQL and Python - and you can go deep when needed. Cloud-savvy: You understand distributed systems and cloud platforms, and how to make them work efficiently ...

clustering, predictive modeling, reinforcement learning, and Bayesian statistics. Hands-on experience in software engineering, MLOps, and deploying machine learning models at scale. Proficiency in SQL, Python, and familiarity with big data technologies (e.g., Kafka, Spark) and/or cloud platforms (e.g., GCP, AWS, or Azure). Industry knowledge: Experience ...

their calculation requirements Management of key stakeholders at all levels in a typical corporate environment Experience of relational databases Demonstrable programming experience (e.g. SQL/.NET/VBA) Experience of management responsibilities such as, work prioritisation, holding others to account, risk management Experience of managing a small team Excellent communication ...

clustering, predictive modeling, reinforcement learning, and Bayesian statistics. Hands-on experience in software engineering, MLOps, and deploying machine learning models at scale. Proficiency in SQL, Python, and familiarity with big data technologies (e.g., Kafka, Spark) and/or cloud platforms (e.g., GCP, AWS, or Azure). Industry knowledge: Experience ...

clustering, predictive modeling, reinforcement learning, and Bayesian statistics. Hands-on experience in software engineering, MLOps, and deploying machine learning models at scale. Proficiency in SQL, Python, and familiarity with big data technologies (e.g., Kafka, Spark) and/or cloud platforms (e.g., GCP, AWS, or Azure). Industry knowledge: Experience ...

clustering, predictive modeling, reinforcement learning, and Bayesian statistics. Hands-on experience in software engineering, MLOps, and deploying machine learning models at scale. Proficiency in SQL, Python, and familiarity with big data technologies (e.g., Kafka, Spark) and/or cloud platforms (e.g., GCP, AWS, or Azure). Industry knowledge: Experience ...

clustering, predictive modeling, reinforcement learning, and Bayesian statistics. Hands-on experience in software engineering, MLOps, and deploying machine learning models at scale. Proficiency in SQL, Python, and familiarity with big data technologies (e.g., Kafka, Spark) and/or cloud platforms (e.g., GCP, AWS, or Azure). Industry knowledge: Experience ...

iterate product changes based on your insights Qualifications What you’ll bring: Technical depth: 5+ years of experience in analytical roles, with excellent SQL and the ability to write clear, performant, reliable queries across large and complex datasets. Product analytics craft: Strong experience with at least three of funnel analysis ...

focused attitude — a customer advocate. Ability to creatively explain and present complex concepts in an easy to understand manner. Experience with data related technology - SQL, databases, data integration tools, APIs, Machine Learning. Benefits We offer all the benefits you’d expect from a great place to work: 100% healthcare coverage ...

using data to improve campaign performance. Desirable: Experience in a product-driven environment Competency in coding HTML, CSS and Shopify Liquid. Experience using SQL and other analytical tools (Looker, GA, MixPanel etc.) Experience using Braze or similar cross-channel marketing platforms. Experience working in an international organisation. Additional Information ...

payments and/or banking. A plus if you’re familiar with FX products, treasury or liquidity management domains. You are proficient with SQL and know your way around data pipeline management tools such as Snowflake, dbt, Git, Airflow, Python, and Lightdash. You're comfortable owning analytics from data transformation ...

Optimization problems Anomaly detection* **Deployment Experience*** Proven track record of deploying or partnering on **customer-facing production ML systems**.* Proficiency in Python and SQL (experience with distributed or cloud‐based data platforms is a plus)* Ability to communicate technical ideas clearly to both technical and non‐technical audiences**Working ...

background in finance, mathematics, economics, physics, computer science, or other technical subjects. Interest in product design and/or software development. Experience using Python, SQL, and/or other programming languages. Ability to apply your skills and knowledge to defined outputs, while maintaining attention to quality and detail. Strong communication ...

Data Analyst - London - Up to £50K Hybrid working - 3 days a week onsite SQL | Power BI | Snowflake Are you a Data Analyst with strong SQL and Power BI skills looking to make a real impact? We're partnering with an organisation that's investing heavily in its data capabilities … engaging Power BI dashboards from concept through to deployment. Gathering requirements, creating wireframes and delivering reporting that answers real business questions. Writing and optimising SQL queries to extract, manipulate and prepare data. Analysing complex datasets to identify trends, opportunities and actionable insights. Working alongside Data Engineers to improve data pipelines ...

reliable, consistent data across all sources. Responsibilities: Build and maintain ETL pipelines using Azure Data Factory to ingest data from multiple sources into Azure SQL Server. Enforce data governance policies, conduct QA checks, and implement monitoring to uphold data quality and integrity. Review API documentation and analyse raw data … well understood before staging. Maintain data dictionaries and models, sharing knowledge with the team to foster continuous improvement. Support Senior Data Analysts with complex SQL queries and Power BI reporting, providing cover during absences. Work effectively across global teams in a hybrid model, delivering high-quality output with professionalism. Communicate ...

reliable, consistent data across all sources. Responsibilities: Build and maintain ETL pipelines using Azure Data Factory to ingest data from multiple sources into Azure SQL Server. Enforce data governance policies, conduct QA checks, and implement monitoring to uphold data quality and integrity. Review API documentation and analyse raw data … well understood before staging. Maintain data dictionaries and models, sharing knowledge with the team to foster continuous improvement. Support Senior Data Analysts with complex SQL queries and Power BI reporting, providing cover during absences. Work effectively across global teams in a hybrid model, delivering high-quality output with professionalism. Communicate ...

deploy advanced analytics, data science, and machine learning solutions across a variety of use cases Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to extract actionable insights from complex datasets Contribute to the design and implementation of scalable data science workflows and best practices Collaborate … Exposure to Agile development environments and software engineering best practices Experience working in large, complex organisations or regulated industries Strong working knowledge of Excel, SQL, Power BI, and Tableau ...

deploy advanced analytics, data science, and machine learning solutions across a variety of use cases Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to extract actionable insights from complex datasets Contribute to the design and implementation of scalable data science workflows and best practices Collaborate … Exposure to Agile development environments and software engineering best practices Experience working in large, complex organisations or regulated industries Strong working knowledge of Excel, SQL, Power BI, and Tableau ...