1,376 to 1,400 of 4,427 SQL Jobs in London

diagrams. Provide technical consultation and expertise on machine operation, process functionality, and equipment working principles referring to Automation setup. Well versed in Ladder Logic, SQL queries, Structured Text, and demonstrates a strong aptitude for programming concepts. Strong Microsoft application capabilities including Data Analytics, Excel, and Power BI. Highly analytical ...

TerraformHands-on with DevOps practices (CI/CD, Docker, Kubernetes) and observability tools like Prometheus, Grafana or DatadogExperience with distributed systems, scaling, and both SQL and NoSQL datastoresAgentic workflow experience (autonomous or multi-agent systems) is a plus, and this AI Engineer role suits someone fluent in English ...

builds clean, reliable reporting that people actually use. You care about data quality, clarity, and making complex metrics understandable. You're fluent in SQL and experienced with dbt. You can build and maintain well‐structured models, not just write queries. You're comfortable with BI tools and visualisation platforms. … business, which means building relationships and understanding how different parts of Relay operate. Fast and Focused Hiring Process Talent Acquisition Interview - 30 min Technical SQL Interview - 1 hours Hiring Manager Interview - 45 min Case Study - 1 hour Values & Impact Interview - 45 min Decision and offer within 48 hours. Our process ...

technical pre-sales, consultancy, or engineering, ideally with data-native or high-growth technology companies. Proficiency in a core programming language such as Python, SQL, Scala, or Java, and a willingness to learn (or existing knowledge of) Spark. Familiarity with a core data or AI domain: modern data engineering, streaming ...

Working knowledge of large language models, agentic frameworks, or generative AI technologies Experience with statistical analysis, experimentation, and model evaluation methodologies Proficiency in Python, SQL, and data science tooling used in enterprise environments Strong analytical, problem-solving, and communication skills Ability to manage multiple priorities and deliver results ...

strategies – including Credit and Equity Arbitrage strategies (Corporates, Structured Credit, Converts, Equity Derivatives, Merger Arb, etc.)Familiarity with analytical or technical tools such as SQL, Python, or data modeling conceptsExperience in a hedge fund or multi-strategy investment environment with complex legal entity, fund, and strategy structures ...

knowledge**Key Skills*** Strong numerical and analytical skills, with the ability to structure ambiguous problems and reason through them rigorously* Confident working with SQL and data to independently investigate and answer business questions* Comfortable using modern AI tools as part of your everyday workflow to accelerate analysis and research* Comfortable ...

desirable Experience in political campaigning, media, membership organisations, subscriptions, CRM, advocacy or another environment where behaviour moves across multiple online and offline touchpoints. Strong SQL, Python/R, data-modeling or warehouse experience and the ability to work directly with technical teams when deeper implementation is required. Experience setting ...

evaluating incrementality tests and A/B experiments. A talent for actionable insights, you design analyses with the decision in mind. Strong Python and SQL skills. A pragmatic problem-solver who finds the simplest path through complexity, rather than reaching for complicated models. A creative, proactive builder, as good ...

. Knowledge of CI/CD tools and practices (e.g., GitLab). Familiarity with automated testing frameworks and maintaining code quality. Strong database skills (SQL). Excellent problem‐solving, communication, and collaboration skills. Desired: Experience with microservices and event‐driven architectures. Experience with AI‐assisted design and coding. Knowledge ...

Modules, while harnessing design tokens. Actively contribute to developing large-scale services for optimal performance, utilising technologies like Node.JS, Typescript, Mongo DB, Postgres, SQL, AWS Lambda, GraphQL and Serverless framework. This extends to microservices and event‐driven architecture. Be proficient in unit testing (TDD), end‐to‐end testing and best … Query Writing and maintaining E2E on Playwright (but Cypress experience will be counted too) Extensive experience in developing and utilising enterprise APIs. Proficiency in SQL and NoSQL databases. Customer‐focused, owning the entire SDLC, and embodying DevOps principles. Proven experience in software design and implementation, security, cloud infrastructure & monitoring ...

Strong Python skills with experience in building and monitoring production services or APIs. Experience with third-party APIs is essential. Data Pipelining: Experience with SQL, ETL, data modeling. Experienced with the lifecycle of building ML solutions Speak AI language: Understand the fundamentals of ML/AI and communicate effectively with ...

teams to understand, translate, review, and playback requirements and collaborate to develop Model Engineering solutions. Exposure to working with data sets through tools like SQL, JavaScript, or Python. Adds to team culture of diversity, opportunity, inclusion, and respect Preferred qualifications, capabilities, and skills Knowledge of Programming Language Design and Implementation. ...

coverage on multi-cloud or Azure-primary or GCP-Primary client environments: Azure equivalents across application (AKS, Azure App Service, Azure Functions), database (Azure SQL, Cosmos DB, Azure Database for PostgreSQL), and infrastructure (Azure VMware Solution, Azure Arc, Azure Virtual Network) domains Azure-to-AWS migration architecture for clients consolidating ...

RoleWe are looking for a product-focused Senior Software Engineer to join our Experiences Engineering team. This is a full-stack role, leveraging Java, SQL, React, AWS and AI tools. It suits "T-shaped" engineers who thrive on autonomy and technical leadership. You'll build and maintain highly scalable distributed ...

Pandas, NumPy, Scikit-learn, XGBoost or LightGBM, and Plotly, Rust, Typescript, Python or Matplotlib.Experience developing machine learning models for prediction, optimisation or classification.Strong SQL skills and experience working with relational databases.Sound understanding of statistics, predictive modelling and machine learning techniques.Experience working with geospatial datasets using GeoPandas, QGIS or similar technologies.Ability ...

engineers and reviewing data cataloging tools or APIs Demonstrated ability to think systemically about data interoperability, governance, and reusability Proficiency in Python and or SQL We’d love to see: Exposure to fixed income or financial datasets (e.g. corporate bonds) — or a willingness to learn the domain Experience with data ...

NumPy, Scikit-learn, XGBoost or LightGBM, and Plotly, Rust, Typescript, Python or Matplotlib. Experience developing machine learning models for prediction, optimisation or classification. Strong SQL skills and experience working with relational databases. Sound understanding of statistics, predictive modelling and machine learning techniques. Experience working with geospatial datasets using GeoPandas, QGIS ...

agentic workspace, and taking it from one desk to a firm-wide offering such as relative-value signal generation. Your toolkit spans Python and SQL, LLMs and agent frameworks, MCP, Azure AI Foundry through the AI Team's model gateway, Snowflake, and Azure with Terraform, Docker, and CI/CD.What … engineering, solutions engineering, consulting-side software engineering, or engineering embedded in a business unit. Former technical founders are encouraged to apply. Strong Python and SQL, and a track record of shipping production applications rather than prototypes. Production experience with LLMs, covering prompt and context engineering, agent development, evaluation, and deployment ...

React/Vue) and DevOps experience (Docker, K8s, CI/CD). Expertise in building data pipelines and integrating with enterprise systems (REST, Python, SQL, GraphQL, Webhooks etc). Solid understanding of LLMs, Prompt engineering/tuning, Vector DBs (AstraDB, Pinecone, Weaviate etc), RAG pipelines (LlamaIndex, Haystack) and Agent/ ...

visibility should adapt. Experience with incrementality measurement methodologies (geo-based lift tests, holdout studies) and third-party measurement partners. Ability to write your own SQL against a data warehouse such as Snowflake or BigQuery Familiarity with CRM and marketing automation data — Salesforce in particular — and how the marketing-to-sales ...

developing relationships and orchestrating teams to achieve long-term success for customers. Prior experience with coding in a core programming language (i.e., Python or SQL) and willingness to learn a base level of Spark. Hands‐on expertise with complex proofs‐of‐concept and public cloud platform(s) across AWS, Azure ...

data quality habits including: validation checks; deduping; handling imperfect data. Preferred (not prerequisite): Proficiency and working experience in any other computing language such as SQL, or JavaScriptExperience working with large datasetsA portfolio of work showing (GitHub, notebooks, small projects), particularly featuring data collection (especially through parsing html) and analysisExperience working ...

environment simultaneously and effectively manage client expectations. Excellent problem solving and analytical skills, as well as excellent oral and written communication skills Experience in SQL to help amend and create queries/reports Reporting and layout knowledge in tools such as Crystal Reports Superior people and communication skills: team-oriented ...

Need Strong analytical mindset and skillset: You're advanced in Excel and comfortable with: structured data, BI tools (Tableau, Lookr, Power BI) and SQL (3+ years preferred) and can turncomplex numbers into clear insight and action. Commercial curiosity: You're genuinely interested in how businesses make commercial decisions ...