2,001 to 2,025 of 7,326 SQL Jobs in England

insight-led culture. Technical skills Essential: strong Power BI capability, including dashboard/report design, data visualisation and self-service analytics. Essential: strong SQL skills, with the ability to query, transform and analyse data from multiple sources. Desirable: experience using Databricks or similar cloud-based data platforms. Desirable: experience using ...

data science, machine learning, and business analyticsPractical experience in coding languages eg. Python, R, Scala, etc.; (Python preferred)Proficiency in database technologies eg. SQL, ETL, No-SQL, DW, and Big Data technologies e.g. pySpark, Hive, etc.Experienced working with structured and also unstructured data eg. Text, PDFs, jpgs, call recordings, video ...

data science, machine learning, and business analytics Practical experience in coding languages eg. Python, R, Scala, etc.; (Python preferred) Proficiency in database technologies eg. SQL, ETL, No-SQL, DW, and Big Data technologies e.g. pySpark, Hive, etc. Experienced working with structured and also unstructured data eg. Text, PDFs, jpgs, call ...

migrations, automation, and multi-tenant environments. Technical skills across PowerShell, PnP, Python, JavaScript, C#, JSON, Power Query/DAX, REST APIs, GraphQL, Dataverse, and SQL databases. Good understanding of AI governance, compliance, responsible AI, and Microsoft 365 Copilot. Excellent communication, leadership, consulting, and stakeholder management skills. Desirable Skills Experience with ...

advocate for using the right tech for the right task, we often leverage the following technologies: Python, TypeScript/JavaScript, React, Node, Flask, SQL, cloud infra, CI/CD).Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment.Strong communication skills, both verbal and written ...

product strategy concepts. Desirable attributes: Experience with delivering requirements with data, platform and software engineers, and data scientists. Knowledge in data programming language (Python, SQL, R or other) Degree in Computer Science, Information Systems, Statistics or a related field. A master’s degree is a plus. #LI-HYBRID #LI ...

Production data engineering experience. 3+ years building and operating production data pipelines or data platforms, including ownership of them once they are live Strong SQL and modelling judgement. You model data for real consumers, and you find the source of truth before creating another copy of it Strong command … with Kafka or an equivalent streaming system, a workflow orchestrator such as Airflow, Dagster or Prefect, and transformation tooling such as dbt or equivalent SQL-based workflows Cloud warehouse, lake or lakehouse experience , and integrating data from external APIs, databases and files Correctness under failure. Understanding of schema design, data ...

Framework or comparable JVM backend frameworks; Pekko or Akka experience is highly relevant. Strong understanding of relational databases, especially MySQL, with practical knowledge of SQL optimization, indexes, query profiling, and transaction behaviour. Experience using Redis or similar technologies for caching, session handling, or performance-sensitive workloads. Deep understanding ...

Look For6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical roleStrong coding proficiency in Python and SQL — you must demonstrate live coding, debugging, and solution-building skillsDeep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native ...

6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role Strong coding proficiency in Python and SQL — you must demonstrate live coding, debugging, and solution-building skills Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud ...

with experience in:Data modeling, analytics, or business logic designAI/ML concepts or applied data workflowsProficiency with:Formulas, logic, and structured modelingProgramming (Python, SQL, or similar is a plus)Familiarity with:SaaS platforms or planning tools APIs, data pipelines, and system integration conceptsAbility to manage multiple stakeholders and projects ...

gravity9 is a boutique IT consulting company headquartered in the UK with offices in the US, Canada, Poland, and Colombia. Our team has deep experience in engineering, experience design and product management. We enjoy a ...

ideal candidate will have the following skills and experience: Strong Power BI development skills, including DAX, dashboard creation, and reporting best practice Solid SQL capability Experience building and developing applications or customer-facing digital solutions Exposure to AI technologies and large language model integrations Experience with agentic AI workflows ...

EMEA Professional Services Director and have a high volume of autonomy and responsibility very quickly. The ideal Professional Services Consultant will have prior SQL Server experience, will have implemented software solutions within a Hosted Services (SaaS) environment, have server maintenance experience, and be highly motivated and team-focused with … application programming to integrate products into client systems as needed Technical Support Consultants Must have: • Min 3 years commercial experience • Arabic Speaker • Experience with SQL databases and SQL programming language • Experience of Application support or Implementation • Experience with scripting, batch processing, data file manipulation, or Web services • Knowledge of data ...

team responsible for delivering trusted analytical data products used across commercial and marketing teams. The ideal candidate will combine strong analytical thinking with advanced SQL engineering capability, and will have experience designing analytics-ready datasets used by BI tools or semantic layers. This is not a pipeline engineering role … that define consistent business metrics and enable self-service analytic s. Key Responsibilities Analytical Data Modelling Design and implement scalable analytical data models in SQL used by BI tools and analytics platforms. Build datasets that support consistent business metrics, reporting and analysis. Implement modelling approaches such as star schemas, denormalised ...

ASP.NET Developer – FintechTech: C# .net, Azure, SQL, Team City, GIT, TFS Challenge: Greenfield Trading platform, API development, industry specific challenges Firm: Well-known Insurtech software business, West London, 10 man flat Dev Team Pay: 65k Some Flex WorkingQuant is urgently looking for an ASP.NET MVC Developer to join our high … structured environment ASP.NET MVC HTML5/CSS Some JavaScript/jQuery and related client-side frameworks, e.g. Angular, Web Services/WCF/NHibernate SQL Server/T-SQL Experience in a variety of software development approaches and methodologies including Agile SCRUM and Waterfall Experience GET: Angular.JS ...

clear business insights Experience working within cross-functional delivery teams Strong documentation and communication skills NICE TO HAVE Marketing analytics, measurement or attribution experience SQL and BigQuery expertise Exposure to dbt or similar transformation tools Agency or consultancy experience ...

adopted.We are looking for a hands-on Data Analyst who enjoys solving business problems through data. The successful candidate will have proven Tableau and SQL capabilities, a strong focus on end users, and the ability to independently drive work from requirements through delivery. Most importantly, they should be curious, organized … designed with a strong focus on end-user experience, usability, and adoptionTranslate business problems into clear, scalable, and maintainable data solutionsWork extensively with SQL-based data sources to support reporting and analytics needsHelp drive the transition from EUDA-based processes to governed, platform-based solutionsContribute to data governance and change ...

trust and use. Essential Skills & Experience: Hands-on experience with Databricks and Microsoft Fabric Experience building and running production-grade pipelines Strong PySpark and SQL skills Experience with Delta Lake and Lakehouse architectures Good grasp of data modelling, orchestration and workflow automation Comfortable working with structured and semi-structured data ...

looking for a hands-on Data Analyst who enjoys solving business problems through data. The successful candidate will have proven Tableau and SQL capabilities, a strong focus on end users, and the ability to independently drive work from requirements through delivery. Most importantly, they should be curious, organized, and committed … with a strong focus on end-user experience, usability, and adoption Translate business problems into clear, scalable, and maintainable data solutions Work extensively with SQL-based data sources to support reporting and analytics needs Help drive the transition from EUDA-based processes to governed, platform-based solutions Contribute to data ...

Change Data Capture (CDC), clustering, data migration, and aggregation. Use AI query-optimization tools to analyse execution plans, auto-tune complex Snowflake/Iceberg SQL workloads, and eliminate performance bottlenecks.Intelligent Telemetry & Closed-Loop Reasoning: Integrate automated AI inferencing and reasoning layers directly into data pipelines to detect telemetry anomalies … equivalent practical experience, alongside proven years of dedicated professional experience in enterprise data engineering and architecture.Data Warehousing & Data Lake Mastery: Expert-level mastery of SQL (OLAP/OLTP) and enterprise cloud data platforms (specifically Snowflake), combined with practical experience architecting open data lake structures using Apache Iceberg.Software Engineering & Streaming: Demonstrated ...

Change Data Capture (CDC), clustering, data migration, and aggregation. Use AI query-optimization tools to analyse execution plans, auto-tune complex Snowflake/Iceberg SQL workloads, and eliminate performance bottlenecks. Intelligent Telemetry & Closed-Loop Reasoning: Integrate automated AI inferencing and reasoning layers directly into data pipelines to detect telemetry anomalies … practical experience, alongside proven years of dedicated professional experience in enterprise data engineering and architecture. Data Warehousing & Data Lake Mastery: Expert-level mastery of SQL (OLAP/OLTP) and enterprise cloud data platforms (specifically Snowflake), combined with practical experience architecting open data lake structures using Apache Iceberg. Software Engineering & Streaming ...

Visualisation or Data Governance. Strong experience building dashboards and visualisations using Power BI, Databricks AI/BI, Tableau or similar. Good working knowledge of SQL and data validation. Understanding of semantic modelling, KPIs, metrics and business definitions. Knowledge of data governance, metadata, taxonomy, ontology and/or lineage. Strong stakeholder ...

support, and you’re energized by using new and emerging technology to transform the way we work. You bring real technical capability — enough SQL to explore data and answer your own questions — along with the initiative, curiosity, and communication skills to move fast across a busy trading floor and challenge … into working proofs of concept, and be thoughtful about design, execution, testing, and ongoing support. Explore trade, position, P&L, and risk data with SQL to investigate questions, reconcile across systems, and produce analysis the business can act on. Learn the end-to-end trade lifecycle on Trinity — trade capture ...

reduce manual effort, improve quality, or accelerate analysis.Configure and support approved AI tools and platform capabilities, including GenAI projects, agents, skills, knowledge bases, SQL resources, model presets, and MCP-enabled tools.Design and maintain high-quality AI context, including system instructions, prompt templates, examples, reference materials, retrieval sources, workflow guardrails … such as RAG, embeddings, vector search, document extraction, tool calling, agentic workflows, and human-in-the-loop review.Strong programming and data skills, including Python, SQL, and tools/libraries used in agentic development like langgraph, langchain, Pydantic models, NumPy, FastAPI/MCP, etc.Ability to work with APIs, JSON, MCPs ...