2,576 to 2,600 of 7,757 SQL Jobs in the UK

developing a Gen AI platform which will leverage Amazon Bedrock AgentCore. The successful candidate will be responsible for designing and implementing natural language-to-SQL capabilities, which will enable the business to query complex data using conversational AI to receive accurate summaries, supporting developers & Senior Stakeholders. Responsibilities: - Design & implement scalable … data solutions which fully support Amazon Bedrock AgentCore applications - Develop and optimise NL to SQL workflows across the enterprise data platform - Create AI-driven data summarisation and insight-generation capabilities - Integrate semi-structured and structured data sources into Bedrock-powered agent frameworks - Collaborate with two permanent data engineers ...

dashboards and reporting suites in Looker, ensuring marketing performance data is accurate, timely, and accessible to stakeholders across the business Write and optimise complex SQL queries in Snowflake to extract, transform, and model marketing and customer data from DAZN's data warehouse Use Deepnote (or similar notebook environments) for deeper … function Collaborate with data engineering to influence the underlying data model where it affects marketing reporting needs Mentor junior analysts on best practices in SQL, dashboarding, and analytical rigour What You'll Bring:Strong Looker skills, including familiarity with LookML (Looker's proprietary modeling language, not machine learning) — dashboard design ...

science methods and tools including hardware acceleration, advanced calculus, C++ including STL, C#, .NET, Java, object oriented software design, Python, kdb, Structured Query Language (SQL), mathematical finance/programming and statistics and probability Develop pricing models using numerical techniques for valuation including Monte Carlo Methods and partial differential equation solvers … Recommended Qualifications Experience in a comparable quantitative modeling or analytics role, ideally in the financial sector Must have technical/programming skills; C# .Net, SQL and C++ Exposure to Market Data; Statistics and Probability based calculations; Using probability theory to evaluate the risks of complex financial instruments, solve analytical equations ...

science methods and tools including hardware acceleration, advanced calculus, C++ including STL, C#, .NET, Java, object oriented software design, Python, kdb, Structured Query Language (SQL), mathematical finance/programming and statistics and probabilityDevelop pricing models using numerical techniques for valuation including Monte Carlo Methods and partial differential equation solversCollaborate closely … appropriate timeframeRecommended Qualifications: Experience in a comparable quantitative modeling or analytics role, ideally in the financial sectorMust have technical/programming skills; C# .Net, SQL and C++ Exposure to Market Data; Statistics and Probability based calculations; Using probability theory to evaluate the risks of complex financial instruments, solve analytical equations ...

operational data to quantify how many travelers are in an affected area, what products they hold, and what remediation options are available, using SQL across EG's internal data platforms including Trino and Querybook. Build and maintain exposure trackers that give leadership a real-time picture of traveler and partner … closely with a 24/7 operations environment, with comfort managing competing priorities under time pressure. Strong data skills: comfortable writing and adapting SQL queries, building trackers and dashboards in Excel or Sheets, and translating raw metrics into clear recommendations. The ability to extract signal from operational data quickly ...

validation, and performance evaluation. Data & Solution Development Gather, preprocess, analyze, and model large volumes of structured and unstructured data from multiple sources. Use Python, SQL, Spark, and other relevant technologies to build scalable analytical and machine learning solutions. Develop features, datasets, and analytical approaches that support model development, experimentation … problems. Hands‐on experience with generative AI, large language models, NLP, or other modern AI technologies. Strong programming skills in Python and experience with SQL and large-scale data processing technologies. Experience with modern machine learning frameworks such as PyTorch, TensorFlow, scikit-learn, or equivalent technologies. Strong understanding of statistical ...

named, specified, and tracked — not just worked around QA coverage expands naturally with each deployment increment rather than lagging behind Competencies & Behaviours Technical Strong SQL skills — comfortable writing and reading complex analytical queries (window functions, CTEs, aggregations) to interrogate data and verify correctness Hands-on experience with Databricks — running queries … navigating Unity Catalog, reading Spark job outputs and understanding what they mean for data quality Working knowledge of PySpark or Spark SQL — enough to read pipeline code, understand transformations, and trace where data issues originate Understanding of Lakehouse/medallion architecture (bronze-silver-gold) and how data flows and changes ...

platform are named, specified, and tracked — not just worked around QA coverage expands naturally with each deployment increment rather than lagging behind Technical Strong SQL skills — comfortable writing and reading complex analytical queries (window functions, CTEs, aggregations) to interrogate data and verify correctness Hands-on experience with Databricks — running queries … navigating Unity Catalog, reading Spark job outputs and understanding what they mean for data quality Working knowledge of PySpark or Spark SQL — enough to read pipeline code, understand transformations, and trace where data issues originate Understanding of Lakehouse/medallion architecture (bronze-silver-gold) and how data flows and changes ...

using clear visualisation and storytelling to articulate findings and enable stakeholders to make informed decisions. Develop and optimise reporting solutions, including DAX, Power Query, SQL, reporting pipelines and Power BI performance. Work collaboratively with Data Engineering and the wider Data team to ensure data is appropriately structured, accessible and optimised … ability to communicate and tell stories with data, turning complex analysis into clear, relevant insight for both technical and non‐technical audiences. Strong SQL capability and a solid understanding of data modelling, data warehousing and BI architecture. Experience working with Databricks would be particularly valuable. Experience creating robust reporting solutions ...

Essential 1-2 years AI engineering, software engineering or intelligent automation, including LLM or AI features that real users depended on. Strong Python and SQL, with production code ownership. Not familiarity. Demonstrable experience integrating large language models into production systems — prompt and context design, retrieval-augmented generation, structured output ...

Essential 1-2 years AI engineering, software engineering or intelligent automation, including LLM or AI features that real users depended on. Strong Python and SQL, with production code ownership. Not familiarity. Demonstrable experience integrating large language models into production systems — prompt and context design, retrieval-augmented generation, structured output ...

algo trading – Europe a plus.Strong analytical skills and ability to draw insights from large, raw datasets.Hands-on coding experience – KDB/q, Python or SQL preferred, but strong ability in any programming language is welcome.Ambitious, with excellent communication and team-working skills.Familiarity with business intelligence software QlikView, Tableau or Power ...

across enterprise customers and their data Own the data layer, schema design, query performance, and data integrity - with a strong emphasis on PostgreSQL and SQL more broadly Write and maintain thorough test coverage using RSpec, treating testing as a first-class part of delivery Package and deploy services using Docker … pager rotation What You'll Bring: 4-8 years of professional software development experience, ideally including full-stack work with a backend lean Strong SQL fundamentals; hands-on experience with PostgreSQL ideal Comfortable working within large, sophisticated, existing codebases and making changes safely Scripting ability for automation and tooling (language ...

researchers and product engineers, with substantial freedom to choose the approach and build the systems yourself. What you bring Strong Python and SQL, with experience designing and operating production databases. Solid experience building and operating production data pipelines over large, messy datasets. Expertise with running search systems over large document ...

with Product, Engineering, and Data teams.Extra awesomeExperience working in a B2B SaaS product company.Experience with orchestration tools such as Airflow or Argo Workflows.Familiarity with SQL, Spark, Snowflake, or other data processing technologies.Experience building systems that combine structured data, unstructured data, and generative AI.Experience with AI security, privacy, responsible AI, prompt ...

analysing results, and managing work items — treating AI-assisted tooling as a first-class part of your workflow rather than a novelty. Technical Strong SQL skills — comfortable writing and reading complex analytical queries (window functions, CTEs, aggregations) to interrogate data andverify correctness Hands-on experience with Databricks — running queries, navigatingUnity … Catalog, reading Spark job outputs and understanding what they Working knowledge of PySpark or Spark SQL — enough to read pipelinecode, understand transformations, and trace where data Understanding of Lakehouse/medallion architecture (bronze-silvergold) and how data flows and changes shape across layers Familiarity with YAML-based configuration ...

embeddings, vector search, RAG, tool use/function calling, structured outputs, and model evaluation. Familiarity with tools or frameworks such as Git, REST APIs, SQL, Docker, LLM APIs, LangChain, LangGraph, LlamaIndex, or cloud AI services. Foundational understanding of responsible AI concepts, including data privacy, model limitations, human oversight, and safe ...

More about you Skills, Qualifications and Experience Key Skills & Experience: Programming & Development: Strong programming capabilities in Python or R (or transferable languages such as SQL, Java, C++) with proficiency in writing clean, tested, and maintainable code. Applied Maths & Statistics: Deep knowledge of descriptive and inferential statistics, hypothesis testing, univariate analysis … Machine Learning & Predictive Modelling: Experience building, validating, and productionising machine learning models (e.g., linear/logistic regression, time-series forecasting, decision trees). Advanced SQL: Excellent SQL skills to extract, transform, and profile large-scale datasets from cloud data marts. Causal Inference & Experimentation: Understanding of experimental design and causal inference ...

confidently articulate complex valuation mechanics to desk heads, traders, and senior risk managers. Desirable Skills Technical Skills: Hands-on experience with Python, VBA, or SQL for data analysis and automation. Languages: Fluency in a second language (French is highly desirable). SDLC Knowledge: Exposure to software development lifecycles or agile ...

validation and testing of data from a range of sources, working to agreed specifications, standards and change control processes. The role will involve using SQL and scripting or analytical languages such as Python or R to automate data processes, improve reliability and support the production of high-quality analytical outputs. … data, analytics, or digital systems. Experience Essential Experience of extracting, transforming, validating, and loading data from multiple sources using structured approaches. Practical experience using SQL and at least one scripting or analytical language (e.g. Python or R) to manipulate, validate, or analyse data. Experience of working to defined standards, procedures ...

using analytics as evidence within assessments of need, dashboards, or other statistical reporting Knowledge of a coding language such as R, Python or SQL and experience of using code for data analysis and/or reports Experience of using, or interest in learning, Tableau for data visualisation To apply ...

owned streaming or near‐real‐time pipeline infrastructure (Kafka or similar), and can talk about what broke as readily as what worked. Strong SQL, Python and warehouse fundamentals , with Snowflake or Databricks experience including query performance tuning and cost optimisation. Track record of engineering standards in dbt — testing, CI/ ...

tuning for containerized workloads. Observability & Operations : Application instrumentation (metrics, distributed tracing, structured logging) and production support in high‐availability environments. Data & Performance : Data modeling, SQL/NoSQL databases, caching strategies, and performance optimization in latency‐sensitive systems. Security : Enterprise security patterns; authentication protocols, mutual TLS, secrets management, and certificate rotation. ...

enforce the constraints that keep agent output correct on performance-critical paths: bulk ingestion throughput, large export streaming, memory behaviour, and complex SQL — validated by scenario and load gates rather than line-by-line reading. Production Ownership & Collaboration Diagnose and resolve production data issues through agents — with deep enough functional … agent infrastructure: MCP servers and tool layers, sandboxed execution, and CI/CD adapted for agent-driven workflows. Deep enough .NET/C# and SQL reading fluency to audit generated code when quality gates flag it — schema design, query plans, streaming vs. buffering, memory behaviour. Excellent written communication: specs, scenario ...

enforce the constraints that keep agent output correct on performance-critical paths - bulk ingestion throughput, large export streaming, memory behaviour, and complex SQL - validated by scenario and load gates rather than line-by-line reading. Production Ownership & Collaboration Diagnose and resolve production data issues through agents - with deep enough functional … agent infrastructure: MCP servers and tool layers, sandboxed execution, and CI/CD adapted for agent-driven workflows. Deep enough .NET/C# and SQL reading fluency to audit generated code when quality gates flag it - schema design, query plans, streaming vs. buffering, memory behaviour. Excellent written communication: specs, scenario ...