1 to 25 of 238 Permanent SQL Jobs in Central London

work with the following core technologies; however, it is not expected that they will have prior experience of them all: Programming: Python, JavaScript, TypeScript, SQL, C#, C++ Frameworks & Tools: FastAPI, Jupyter, JupyterHub, Voila, Power BI, GitHub, Vue, Nuxt AEC Platforms & Standards: Revit, Revit API, pyRevit, Rhino, Grasshopper ...

quality and client hierarchy within Salesforce in partnership with client onboarding teams. Requirements: Strong experience in data analysis and enterprise level data systems. Advanced SQL expertise with the ability to build complex queries and tables. Hands on experience managing ETL processes and working to tight project timelines. Must have strong ...

front-office, commercially focused environment. Core experience required: Strong Python development, particularly for data ingestion, crawling, parsing, and transformation. Extensive experience working with SQL and analytical databases, ideally including Amazon Redshift or similar time-series platforms. Experience building production data pipelines in AWS cloud environments. Familiarity with Docker containers ...

Admin certification preferred), and proven success in implementing AI-driven sales intelligence or automation tools. Data Science Aptitude: Strong proficiency in data analysis tools (SQL, Tableau, Power BI, Advanced Excel) to turn chaotic datasets into actionable business intelligence. Strategic Thinking: Demonstrated ability to connect operational tasks to big-picture business ...

technical AI capabilities with business value Interest in emerging tools and platforms (e.g. Microsoft Copilot, OpenAI, automation platforms). Technical Capability (Desirable, not essential) SQL or equivalent data querying capability Experience with data pipelines or integration tools Familiarity with cloud platforms (Azure preferred) Exposure to APIs and system integrations. What ...

support reporting and time‐intelligence capabilities. • Use Power Query and collaborate with data engineering teams to shape data from multiple sources including SQL and Azure. • Apply governance best practice, including workspace management and row‐level security. • Present insights to non‐technical stakeholders in a clear, accessible way. • Manage your ...

3+ years’ experience as an Analytics Engineer, BI Engineer, or similar Strong hands-on experience with dbt (modelling, incremental models, macros, testing, documentation) Advanced SQL skills and solid understanding of analytical data modelling (Kimball, Star schema, etc.) Experience working with Snowflake or similar cloud data warehouses, including query optimisation Experience ...

driven workflows. Agentic frameworks in Python is a plus but not required Data and analytical skills Comfortable working with data, performing analysis, and writing SQL queries. Experience building simple data pipelines or transformation workflows is a plus. Exposure to ML Ops or production systems (nice to have) Familiarity with tools ...

manual data and reporting tasks Improve efficiency and reliability of data workflows Support initiatives that advance the organisation’s data maturity Experience Required Strong SQL and relational database experience Hands‐on experience with ETL/ELT and API integrations Proficiency with BI tools (Power BI, Metabase, etc.) Experience working with ...

with broad ownership across delivery Technical & Data Capability (Essential) Candidates must be able to demonstrate hands-on familiarity with data environments, including: Tools: Python, SQL, Tableau/Power BI (or similar) Data concepts: ETL pipelines, data modelling, reporting layers Metrics: Accuracy, latency, completeness, recall/precision (where relevant) Ability ...

manage data models to create logical data structures that enhance accessibility and usability. Application Development: Build full-stack applications using tools such as Python, SQL, and relevant frameworks, delivering intuitive user interfaces and interactive workflows. Data Governance: Implement data lineage tracking and access controls to uphold compliance with organisational ...

distributed systems, parallel computing, and high-performance processing of large datasets. Strong experience in data pipelines, working with tools such as Pandas, NumPy, and SQL/NoSQL databases. Proven experience working in fast-paced environments, ideally within trading, financial services, or high-frequency environments. Proficiency in developing RESTful APIs, microservices ...

financial markets and the trade lifecycle. Strong analytical and data interpretation skills. Proficiency in Microsoft Excel (data analysis, formulas, pivot tables). Familiarity with SQL, Python, or other data analysis tools is advantageous. Soft Skills Required Strong attention to detail and accuracy. Analytical and problem-solving mindset. Good written ...

with confidence working in Excel and structured datasets Experience translating insight into clear, actionable recommendations for non-technical stakeholders Working knowledge of Power BI, SQL, Python or similar analytics and visualisation tools, and comfort using AI tools to support analysis, beneficial Location: London, hybrid ...

with access to the following additional courses to ensure you are suitably employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many ...

with access to the following additional courses to ensure you are suitably employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many ...

Angular; exposure to React is a plus. Proficiency in TypeScript and modular UI design is beneficial. Data: Experience with relational databases (Oracle/SQLServer), SQL proficiency, schema design, query optimization; familiarity with caching (Redis/Hazelcast) and API contract testing. Shift‐left quality mindset and risk‐based test planning. Observability ...

preferred. Strong understanding of payment flows, payment channels, and end‐to‐end payment processes. Experience with analytical or database‐querying tools such as SQL, with the ability to extract, manipulate, and analyse complex data sets. Proficiency with data visualisation and reporting tools, including Power BI, to translate analytical findings into ...

data, and ML-ready datasets Influence technical decisions across the stack — they love new ideas What You Bring Hands-on experience in Python and SQL Experience with modern data tools (dbt, Airflow, Prefect, Dagster, etc.) Knowledge of cloud platforms like AWS , GCP , or Azure An understanding of data modelling ...

Machine LearningYou’ll help businesses:Analyse large datasetsBuild dashboards and reportsAutomate processesCreate insight that drives decisions Tech you’ll be exposed to includes:Python | SQL | Power BI | Tableau | Excel | Cloud Platforms(No experience required — training provided. ...

Technical Skills: Proficiency in Java and its related frameworks (e.g., Spring Boot, Maven, Gradle), knowledge of web services, and understanding of database technologies like SQL/Oracle are often required. • Soft Skills: Excellent communication, problem-solving, analytical, and interpersonal skills are essential for collaborating with diverse teams and stakeholders. • Industry ...

features. • Organise and maintain the existing platform, ensuring stability and clarity across data sources. Your Skills and Experience • Strong commercial experience with SQL and Python. • Hands-on experience working with Databricks, or a strong desire to deepen expertise in it. • Expert understanding of data modelling principles and semantic layer concepts. ...

financial operations technology. Strong programming skills in C# + Python Front‐end experience with Vue.js , React , or Angular . Experience with databases such as SQL Server, Databricks, or Azure SQL. Strong understanding of data structures, automation, and workflow optimisation . Familiarity with Git/CI/CD pipelines . Ability ...

Fully qualified: ACA, ACCA, or CIMA Experience in FP&A, commercial finance or financial analysis (tech sector preferred) Strong Excel modelling skills; BI and SQL exposure advantageous Understanding of SaaS metrics, ARR/MRR, churn, LTV, CAC, and cohort analysis Ability to communicate complex data clearly to commercial and technical ...

Proficiency in object-oriented Python, advanced dataframes (Polars/Pyspark), and data versioning (DVC). Experience designing data storage solutions and using object-oriented SQL interfaces. Cloud & DevOps : Hands-on experience with at least two major cloud providers (AWS, Azure, GCP), including app deployment, database services (e.g., RDS, CosmosDB ...