1,076 to 1,100 of 4,423 SQL Jobs in London

with ML/analytics libraries. Hands‐on experience with data engineering workflows: data modelling, pipeline development, and processing of large structured and unstructured datasets (SQL preferred). Practical experience deploying ML models and analytical applications to cloud platforms (GCP preferred). Familiarity with modern ML operations practices: model management, monitoring ...

effectivelyThe ability to work independently while building strong relationships across business groupsStrong Excel skills and comfort working with large, structured data setsFoundational knowledge of SQL, Python, or similar data tools, with the interest and ability to deepen these skills on the jobThe ability to use AI-enabled tools to accelerate ...

actuals from assumptions and updating models to reflect observed trends and variances. Confident working with large datasets to build and stress-test assumptions — SQL or Python required, plus strong Excel skills. A clear communicator who can distil complex analysis into concise, well-structured narratives for non-technical audiences. Comfortable operating ...

demonstrated ownership of production systems Strong foundation in statistics and the ability to apply quantitative methods to complex, real-world problems Proficiency in Python, SQL, and working with graph databases or knowledge graph structures Experience with graph analysis, graph ML, or network analysis — professional experience is a strong differentiator Comfort ...

/Python code, and comfort articulating and discussing technical requests to engineers Familiarity working with or around "big data", using tools like AWS Athena, SQL/dbt Experience working in the financial sector or another regulated industry We’re building a place where everyone truly feels they belong. Even ...

strong plusExpert knowledge of at least one of: AWS, Azure, KubernetesKnowledge of data management and data model design; real-time processing using SQL (e.g., Postgres) and NoSQL stores (e.g., OpenSearch, Redis)Excellent communication skills with the ability to partner effectively with senior technical and business stakeholdersPreferred Qualifications, Capabilities, and Skills ...

assisted insight generation, natural‐language data interfaces. Strong expertise in experimentation, causal inference, forecasting, and statistical modeling. Expertise in Python or R, fluency in SQL, and experience with large‐scale data tech (Databricks). Experience with FinTech, payments, crypto, or blockchain data is a strong plus. Advanced degree ...

company earnings, valuation, and sector dynamics) alongside quantitative techniques. Experience analysing and using alternative datasets in an equity investment process. Proficiency in Python and SQL, and a demonstrated ability to work fluently with data and analytical tools. Experience applying AI or ML to equity research. Excellent communication skills, with ...

systems, optimization systems, decision engines, or comparable AI-enabled platforms; able to explain the underlying technical approach and trade-offs Strong technical fluency in SQL and Python or a similar language, with the ability to inspect data, reason about model or system outputs, and participate credibly in technical solutioning Proficient ...

qualifications- Bachelor's degree, or experience in a professional field or military- Experience as technical specialist in design and architecture- Experience in database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis)- Experience in consulting, design and implementation of serverless distributed solutions- Experience in software development with object oriented language- Experience ...

from scratch is a plus. Hands-on CI/CD experience with Azure DevOps or a comparable platform, including diagnosing failed pipeline runs. Strong SQL skills with the ability to independently query databases and validate application data. Experience troubleshooting beyond the UI using APIs, application logs, databases, and other technical ...

present findings clearly and concisely. Proficiency in business intelligence and data visualisation tools (ideally Looker). Familiarity with databases and querying languages (e.g., SQL). High attention to detail and ability to work with large datasets. Ability to work in a fast-paced environment and manage multiple tasks simultaneously. Effective ...

within a product-led or high-growth tech environmentDeep expertise in analytical methods including LTV modelling, cohort analysis and regression techniques. High proficiency in SQL and strong command of one or more analytics tools or statistical packages (e.g., Python, R).Hands-on experience with DBT and familiarity with data modelling ...

with tribe leads, product managers, and operational teams. You've driven adoption of your team's work. Strong hands on technical capability, including SQL, Power BI, and Python or similar. You build capability by doing, not just directing. Communication and conviction, with the ability to operate credibly with senior stakeholders ...

programmes Designed and delivered modern data platforms end to end on AWS and/or Databricks Still writes production-grade code: strong Python and SQL, Spark, dbt or equivalent, infrastructure-as-code (Terraform preferred) Track record in a consultancy, systems integrator or other client-facing setting comfortable being accountable ...

programmes Designed and delivered modern data platforms end to end on AWS and/or Databricks Still writes production-grade code: strong Python and SQL, Spark, dbt or equivalent, infrastructure-as-code (Terraform preferred) Track record in a consultancy, systems integrator or other client-facing setting — comfortable being accountable ...

with tribe leads, product managers, and operational teams. You've driven adoption of your team's work. Strong hands on technical capability, including SQL, Power BI, and Python or similar. You build capability by doing, not just directing. Communication and conviction, with the ability to operate credibly with senior stakeholders ...

natural language insight generation and powerful internal data apps About you Technical : Experience in an analytical role with strong data manipulation skills in SQL and/or Python. You’re comfortable getting stuck into large datasets and extracting insight that drives decision making Delivery : You’ve worked in a fast ...

serverless and/or microservice architecture that is deployed via Terraform into AWS. Key technologies in this framework include React, Typescript, Next.js, Python, C#, SQL, Docker, Terraform and AWS. You will be expected to take ownership of projects and find gaps in design with Blackstone product managers. You will tackle ...

Capability Mapping, Enterprise Modernization, and Agentic AI.Technical Foundation: Strong background in Data Architecture, system integrations, data operations, automation capabilities, and data-related languages (SQL, Python, etc.). You must be able to comfortably switch from discussing high-level architecture strategy to understanding hands-on demo environments. Ecosystem Knowledge: Strong understanding ...

Capability Mapping, Enterprise Modernization, and Agentic AI. Technical Foundation: Strong background in Data Architecture, system integrations, data operations, automation capabilities, and data-related languages (SQL, Python, etc.). You must be able to comfortably switch from discussing high-level architecture strategy to understanding hands-on demo environments. Ecosystem Knowledge: Strong ...

Experience in cloud-first design, preferably AWS (Serverless infrastructure, dynamic autoscaling, container orchestration, etc.). Experience in data architecture, databases (e.g., PostgreSQL, MySQL, Oracle), SQL and DDD/ER/ORM design. Interest and curiosity in emerging technologies on the web like GraphQL, web assembly, Lambda functions, MLaaS etc. Knowledge ...

data platforms like Snowflake, Databricks, Redshift, Google BigQuery and you can evaluate a new one fast. Deep in data and semantic modeling. Expert-level SQL and data/semantic modeling skills, with strong command of data warehousing ecosystems, schema design (OLTP vs. OLAP, star/snowflake, etc.), and security/ ...

ecosystems, along with legacy on-premise enterprise architectures. Strong background in Data Architecture, Integrations patterns, and a development background in data-related languages (SQL, Python, etc.)Strong technical background with a focus on system integrations, data operations, and automation capabilities. The ability to comfortably switch from explaining an architecture diagram ...

workflows. Kanban and CI/CD: Comfortable with Kanban workflow, continuous integration, Jira, and rapid iteration cycles. Git and version control: Professional-grade proficiency. SQL: Ability to query and analyse data from our systems. Experience delivering under time pressure: Ability to prioritize effectively, ship MVPs quickly, and iterate based ...