2,401 to 2,425 of 6,955 SQL Jobs in England

Business Developer SQL/Power BI70,000 Plus 10% Bonus1 Day a week in West London OfficeQuant Capital is urgently looking for a Business Developer to join our high profile client.My Client is a well known global (yet not too corporate) financial software (fintech) business that has developed a unique … handling large data sets, and engaging with stakeholders to understand their data and reporting requirements. You will use tools like Power BI, Excel, and SQL to perform data analysis, identify trends, and develop opportunities for more effective data usage within the business.The Business Developer should have:Strong SQLStrong Power BISome ...

Client Server in Watford is hiring a Data Analytics Lead to shape the data strategy, build data platforms and deliver Power BI-based insights. You will own data pipelines, models, quality and secure storage, using ...

software engineering concepts and 3 years applied experience. Good working knowledge of AWS, Databricks, and Python. Experience across the data lifecycle. Advanced at SQL, including joins and aggregations. Working understanding of NoSQL databases. Significant experience with statistical data analysis and ability to determine appropriate tools and data patterns for analysis. ...

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 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 ...

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 ...

disciplined testing, and a supportable handoff.This is a hands-on data and software engineering role. You will build in real enterprise customer environments - writing SQL, Python, and Apex; building ingestion pipelines; debugging identity resolution; and shipping working implementations from sandbox through production. If you're looking for a purely declarative … role, this isn't it.What You'll DoBuild in customer environments. Configure and develop directly in customer sandboxes and production - using Data 360 configuration, SQL, Apex, Flow, Python, the REST Query API, the Interaction SDK, Salesforce DX, CLI, Git, Data Kits, and deployment tooling as required - following security, change-management ...

provide actionable insight for the business;Experience of working with structured and unstructured data sets;Ability to extract and link data using SQL (Structured Query Language);Advanced use of excel formulas and reporting automation using VBA (Visual Basic for Applications);Advanced knowledge of BI Tool set-up (analytics) preferably Power ...

service analytics by making data easier to discover, understand and use across the businessExploring how AI-assisted tools can improve analytical engineering workflows, including SQL review, test generation, documentation and quality checksYou’ll be a great addition to our team if you have the following skills, knowledge and experienceStrong SQL … haveExperience with enterprise semantic layers or tools such as Hex, Looker, Cube, dbt Semantic Layer or similarExposure to AI-enabled analytics, text-to-SQL, natural language interfaces or agentic data workflowsExperience using AI tools such as Claude, Gemini or similar to improve SQL development, testing or documentationUnderstanding ...

Skills Strong cloud platform skills, with a focus on Google Cloud Platform (GCP), Amazon Web Services (AWS), and Snowflake. Fluency in Structured Query Language (SQL). Deep understanding of Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) processes. Ability to understand and discuss technical concepts and manage technical trade ...

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 ...

looking for a Data Solutions Data Analyst to join our growing CDO Data Solutions team. This is an exciting opportunity for someone with strong SQL skills, a naturally curious mindset, and a passion for solving problems through data.You'll work closely with stakeholders across the business, translating real-world challenges … their technical expertise and understanding of investment data.What you’ll be doing:Working with business users to understand their goals, challenges and data requirementsUsing SQL to search, query, investigate and analyse enterprise dataModelling, manipulating and testing data to support reliable solutionsTranslating requirements into user stories, features and clear acceptance criteriaProducing ...

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 ...

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 Must haves: 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 ...

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 ...

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 ...

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 ...