1,051 to 1,075 of 4,423 SQL Jobs in London

Oracle Autonomous Data Warehouse (ADW) and a strong understanding of Oracle Fusion data structures. Strong technical capability across data modelling, ETL/ELT processes, SQL optimisation and analytics engineering. Proven experience collaborating with Data Scientists, AI Engineers and/or Machine Learning Engineers to support the development and delivery ...

What We Look For 4+ years in data engineering, solutions architecture, technical pre-sales, or a hands‐on consulting role Proficient in Python and SQL with demonstrated ability to debug, optimise, and write production-quality code — live coding is a required interview stage Hands‐on experience designing and implementing data … whiteboarding, architecture reviews Familiarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analytics Strong presentation and demo skills — you will build and present a live solution during the interview Bachelor's or Master's degree in Computer ...

clear, actionable recommendations that enable clients to make improved business decisions and enhance profitability. Technical Expertise: Employing data mining tools and programming languages (Python & SQL) to prepare and analyse data for critical business decision-making. Solution Development: Collaborating to design and deliver robust analytical and commercial solutions for both internal … aptitude and a proactive approach: A relevant numerical degree, achieving a 2:1 or higher. Proven experience in programming languages such as Python and SQL, ideally applied within a credit risk environment. An innovative mindset, coupled with meticulous attention to detail. Excellent written and verbal communication skills, with the ability ...

would still defend. Senior-level SQL. Complex, clean, and performant, with a clear view of what your queries cost. There is a live SQL exercise in the process. What matters most Technical skill gets you into the process. Business understanding is what distinguishes candidates. You understand how systems interact commercially … education helps, but no particular discipline is required. Interview Process Three stages: a technical and behavioural conversation with the Head of Data including live SQL a session with leads from the teams you would work alongside a conversation on judgement and reasoning What's in it for you: 30 days ...

teams. Responsibilities Provide support for internal and external customers Manage work requests that describe issues, software bugs or customer problems Develop appropriate fixes or SQL scripts to resolve customer problems, or identify existing scripts or patches that must be applied Provide general process analysis and make recommendations for improvements Participate … implementation. Qualifications Bachelor's degree preferably in Computer Science, Information Systems or Life Sciences, or equivalent engineering experience Experience with API/web services. SQL experience querying and modifying data using MYSQL, MS SQL Server, MongoDB, Snowflake Experience with C#, Javascript, Visual Studio, Ruby, Python and ASP.NET Experience using Incident ...

have shipped and run - not remained on paper. Deep expertise in data modelling, warehouse/lakehouse design, and data governance. Hands-on background in SQL and Python, and fluency with at least one major cloud provider (AWS or Azure) and modern data platforms (e.g. Snowflake, Databricks). System‐level judgement ...

about how this craft is changing. The way we build is shifting: AI tools now handle a lot of the heavy lifting of writing SQL and boilerplate, which means the job is increasingly less about typing code and more about understanding the business problem, specifying what "good" looks like … assisted development to move faster, spending less time hand-writing boilerplate and more time specifying intent, reviewing, and refining Read, debug, and critically review SQL (including AI-generated code), so we ship models we can trust Document modelling decisions, trade-offs, and outcomes clearly Wrangle and integrate data from multiple ...

/CD pipelines, DevOps and automation LLM integration, evaluation and performance optimisation Secure application development and observability Experience with Terraform, GitOps, Kong API Gateway, SQL/NoSQL databases and AI evaluation tools such as Promptfoo or Arize would also be useful. Previous experience working within financial services, insurance or other ...

/CD pipelines, DevOps and automation LLM integration, evaluation and performance optimisation Secure application development and observability Experience with Terraform, GitOps, Kong API Gateway, SQL/NoSQL databases and AI evaluation tools such as Promptfoo or Arize would also be useful. Previous experience working within financial services, insurance or other ...

APIs, Prometheus, or Azure Monitor. Maintain best practices for data engineering performance, testing, and documentation. Technical Skills Required Strong proficiency with Databricks, Apache Spark (SQL, PySpark, Scala), and Delta Lake. Deep understanding of Spark execution plans, shuffle optimization, and data partitioning strategies. Experience tuning job configurations (e.g., memory management, parallelism ...

Learning, Generative AI models and Agentic AI frameworks in client-facing environments, including data engineering in cloud environments. Strong Python (3.10+), TypeScript, JavaScript (ES6+), SQL and Bash. Front-end: React.js, Next.js (App Router & Server Components), Tailwind CSS, ShadCN UI, Redux, Zustand, Jest, Cypress plus AI product UX patterns such … running tasks and error recovery. Back-end: Django (5.x+), DRF, FastAPI, Pydantic, Celery, Django Channels, Flask and RESTful APIs. Databases and storage: PostgreSQL, MS SQL Server, MongoDB, Firestore, BigQuery, Azure Blob Storage. Cloud and DevOps: Azure (App Services, OpenAI, AKS), GCP (Vertex AI, Cloud Run), Docker, GitHub Actions, Azure DevOps ...

improving systems, shaping strategy, and building capabilities that compound in value over time. A day in the life Analyse enrichment data (using Python and SQL) to understand where and why enrichment falls short — quantifying problems and building the evidence base for what's worth fixing Surface opportunities the team wouldn … tooling — form a view on which new techniques are worth experimenting with in the enrichment context About you Comfortable writing code (typically Python and SQL) to explore data, clean outputs, call APIs, and prototype ideas Some experience working with LLM APIs: calling them, prompting them, structuring their outputs, and understanding ...

tools to engineering, risk assessment, asset performance, predictive modelling or operational decision-making. Proficiency in data analysis and modelling tools such as Python, R, SQL, MATLAB, Power BI, Tableau or equivalent platforms. Experience developing or utilising data-driven models, machine learning tools, digital twins, predictive maintenance applications or engineering analytics ...

working with DevOps and engineering colleagues to keep systems reliable, maintainable and easy to operate. Support applied AI and data science delivery Use Python, SQL and APIs to build applied AI and analytics capabilities. Help process and enrich large volumes of text and unstructured content. Contribute to workflows involving summarisation ...

understand the nature of data: you validate and cross-check sources and don’t trust a number until you’ve verified it. Excellent SQL (PostgreSQL, ClickHouse) and strong Python for analysis. You use AI tools (Claude or similar) in your daily work and know how to verify what they produce. ...

engineering Upholding the data governance standards Supporting the BI and Analytics teams with key data sources required for their deliveries About You Essential SQL knowledge (including CTEs and window functions) with experience of writing performant queries preferably in Snowflake Using transformation tools, we use Coalesce.io but DBT would also ...

governance models. Advanced capabilities in data analytics, dashboard design, AI and system tools. Solid understanding of data architecture, database management and system integration, including SQL and scripting tools. Proven ability to design and implement automated workflows across enterprise systems and platforms. Strong commercial acumen with the ability to link data ...

strong plus Expert knowledge of at least one of: AWS, Azure, Kubernetes Knowledge 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 stakeholders Preferred Qualifications ...

Science, Data Science, Statistics or MathematicsProven experience in technical consulting or client-facing data science roles with strong stakeholder engagement skillsProficiency in Python and SQL; familiarity with R is advantageousPractical experience in building statistical models or predictive algorithmsHands-on exposure to contemporary AI concepts and GenAI frameworks (e.g., LangChain, Hugging ...

Python, or C#/.NET. Experience building user interfaces using a modern frontend framework such as React or Angular. Experience working with relational databases, SQL, RESTful APIs, and complex data models. Experience using source control, CI/CD pipelines, automated testing, and Agile development practices. Experience building and deploying applications ...

data-flow analysis skills Ability to understand unfamiliar data flows, investigate issues and guide other analysts through complex analysis Ability to read and interpret SQL queries to interrogate data and validate system outputs Advanced capability with process and data-flow mapping tools such as Visio or equivalent Working knowledge ...

policies, labeling, and tagging DSR/DSAR automation workflows Risk & privacy modules — correlation, remediation BigID Open SDK, APIs, and custom app development Data & Cloud SQL/NoSQL databases — Snowflake Cloud platforms: AWS (S3, RDS, Glue), Azure (ADLS, Purview), GCP (BigQuery) Data cataloguing tools — Collibra, Alation, Informatica ETL pipelines and data ...

tools and techniquesWorking knowledge of large language models, agentic frameworks, or generative AI technologiesExperience with statistical analysis, experimentation, and model evaluation methodologiesProficiency in Python, SQL, and data science tooling used in enterprise environmentsStrong analytical, problem-solving, and communication skillsAbility to manage multiple priorities and deliver results in a collaborative environmentPreferred ...

choosing the builds where owning the application gives the firm more control, lower cost, or capability no vendor sells. Your toolkit spans Python and SQL, LLMs and agent frameworks, MCP, Azure AI Foundry through the AI Team's model gateway, Snowflake and Microsoft Fabric, and Azure with Terraform, Docker … with LLM applications and agentic systems, covering prompt and context engineering, agent development, retrieval, tool use, evaluation, and deployment at scale. Strong Python and SQL, with the judgement to write code others can maintain and extend. Hands-on experience building agentic capability such as MCP servers, tools, skills, or connectors ...

technologies such as JavaScript, TypeScript, Angular, and/or ReactJS.Ability to explain design decisions and trade-offsTechnical leadership and influenceConfidence driving technical discussionsProficiency in SQL, including query writing, stored procedures, and basic data modeling. Strong experience with modern testing frameworks, including unit and integration testing. Experience with CI/ ...