326 to 350 of 900 SQL Jobs in Central London

event-driven Tooling: Monitoring, dashboarding, dev tooling, cloud infra automation ✅ What You Bring 5+ years backend experience with Node.js and TypeScript Deep experience with SQL/NoSQL databases and data modelling Strong understanding of cloud infrastructure (AWS or GCP) and DevOps Experience building and maintaining scalable APIs and backend systems More ❯

or higher degree in a STEM discipline Strong proficiency in C++ and solid experience working in production environments. Working knowledge of Python, Excel, and SQL, across Windows and Linux environments. Familiarity with modern development tools such as GitHub and VS Code is a plus. Strong problem-solving mindset, hands-on More ❯

related workflows. Deep understanding of regression modelling, Bayesian inference, hierarchical models, and MCMC techniques. Proven ability to handle and analyse large, complex datasets using SQL and/or Spark. Solid knowledge of applied statistics, modelling techniques, and the mathematical underpinnings of inference and simulation. Familiarity with cloud platforms (Azure preferred More ❯

data-driven insights Create and maintain Grafana dashboards to visualise key performance metrics Support the Customer Success team with data-driven solutions Required Qualifications SQL (BigQuery and PostgreSQL) proficiency and Python programming skills Experience with Google Cloud Platform Experience with big data warehouse systems (Google BigQuery, Apache Hive, etc) Hands More ❯

total) that punches well above its weight What you'll bring: Strong STEM or Finance degree from a top university Solid experience in Python , SQL , and ideally C# Proven track record researching and deploying profitable quant strategies Curiosity, drive, and the ability to move fast in a lean environment What More ❯

digital strategy, or performance marketing (agency or client-side). Strong analytical skills with experience working with large and complex datasets. Proficiency in Excel; SQL knowledge would be a plus. Experience with data visualisation tools (e.g., Power BI, Tableau) and social analytics platforms (e.g., Brandwatch, Sprout) would be an advantage. More ❯

work will directly influence how the business understands and serves its customers. What You’ll Bring 5+ years in data engineering Deep Python and SQL expertise Strong command of AWS (Redshift, S3, EC2, Lambda) Proven Kafka and streaming experience Solid ETL pipeline and API integration skills Confident working with data More ❯

skills for both technical and non-technical audiences Advanced stakeholder management, risk management, and issue resolution Comfortable working in agile or hybrid delivery environments SQL, ETL tools, and/or scripting languages for hands-on data tasks (desirable) Background Experience in Private Banking, Wealth Management, or Investment Management firms (preferred More ❯

breakfast, and a strong focus on employee wellbeing. What you’ll bring: Strong backend engineering experience with Node.js and TypeScript Solid understanding of both SQL (e.g. MySQL/PostgreSQL) and NoSQL (e.g. MongoDB) databases Familiarity with testing frameworks and good testing practices Experience with Git, Postman or similar API tools More ❯

breakfast, and a strong focus on employee wellbeing. What you’ll bring: Strong backend engineering experience with Node.js and TypeScript Solid understanding of both SQL (e.g. MySQL/PostgreSQL) and NoSQL (e.g. MongoDB) databases Familiarity with testing frameworks and good testing practices Experience with Git, Postman or similar API tools More ❯

platforms Work closely with stakeholders across engineering, product, and leadership Tech Stack Backend: .NET Core 8/9, Azure Cloud Frontend: React, Typescript Database: SQL, Cosmos DB DevOps: CI/CD pipelines, Azure-based infrastructure What We’re Looking For Proven experience as a Tech Lead or Engineering Manager in More ❯

as banking, third-party payment institutions, or fintech, with a preference for anti-money laundering/sanctions/global trade compliance experience. Proficient in SQL data processing and skilled in using at least one professional analysis tool, such as SAS, Python, R, etc. Strong project management experience, good team collaboration More ❯

science projects across a range of areas required, such as personalisation, pricing, forecasting, GenAI, NLP, classification and regression. Strong programming and modelling skills using SQL and Python required, working with large volumes of complex data. Expert in building and leveraging stakeholder relationships, in order to understand requirements and in turn More ❯

digital strategy, or performance marketing (agency or client-side). Strong analytical skills with experience working with large and complex datasets. Proficiency in Excel; SQL knowledge would be a plus. Experience with data visualisation tools (e.g., Power BI, Tableau) and social analytics platforms (e.g., Brandwatch, Sprout) would be an advantage. More ❯

and inflexible deadlinesIT: MS Office skills (Word, Excel, PowerPoint, etc.)Good understanding of forensic procedures and best practicesUnderstanding of transactional and relational databases (e.g. SQL etc.)Experience of any other hosted document review technologies (e.g. Nuix, Everlaw, Axcelerate...)Travel not often but occasionally as some engagements can require working on More ❯

Science, Mathematics, Engineering). 0.5–3 years of experience in machine learning engineering or research. Strong coding skills in Python and working knowledge of SQL and cloud platforms (preferably Azure). Experience with ML frameworks such as TensorFlow or PyTorch. Understanding of ML lifecycles, including model training, validation, testing, and More ❯

in digital marketing, with 5+ in analytics or measurement-focused roles Strong hands-on experience with Google Analytics, GTM, BigQuery, and coding in Python, SQL or R Deep understanding of attribution modelling, econometrics, and marketing mix analysis Proven team leadership and people development experience Skilled in managing complex, multi-stakeholder More ❯

role Experience within a line management capacity Proficiency in microservices and related tools Expertise in RESTful API development and management Familiarity with databases, including SQL, PostgreSQL, MongoDB, and Linux OS Strong understanding of design patterns and relevant implementation models Proficiency in DevOps tooling and a working knowledge of cloud infrastructure More ❯

in digital marketing, with 5+ in analytics or measurement-focused roles Strong hands-on experience with Google Analytics, GTM, BigQuery, and coding in Python, SQL or R Deep understanding of attribution modelling, econometrics, and marketing mix analysis Knowledge of privacy-first tracking and evolving methodologies (e.g. server-side, cookie deprecation More ❯

compliance and system protection. Familiarity with Microsoft 365 (preferred) and Google Workspace, supporting enterprise collaboration and productivity. Experience in database administration, particularly with Microsoft SQL, to maintain data integrity and performance. Skilled in cloud computing, particularly with Azure, leveraging cloud-based solutions for scalability and efficiency. Proficient in mobile device More ❯

on experience with sales automation tools and client engagement platforms. Background in tech, marketplace or staffing businesses. Knowledge of sales compensation design and implementation SQL skills an advantage More ❯

with relevant ML frameworks (e.g., scikit-learn, PyTorch). Experience with recommendation systems, collaborative filtering, and ideally Graph Neural Networks (GNNs). Proficient with SQL and working with large datasets (e.g., GCP BigQuery). Experience with cloud platforms (specifically GCP) and CI/CD processes (specifically GitHub Actions). Experience More ❯

squad reporting and sprint deliveries • Have extensive experience working within the i nvestment or wholesale banking industries . • Understanding API workflows & architecture • Possess proven SQL & UNIX skills. • Test Automation experience utilising modern software tools. • Technical skill set: Python (primary), Java , Cucumber, Selenium • Understanding of, and experience in non-functional testing More ❯

High level of experience with Microsoft Azure (Azure Data Factory, Databricks, Data Lake Gen 2) Experience building stable and accurate data pipelines Expertise with SQL and Python Familiarity with medallion architecture 4+ years working in a fast-paced data engineer position Stakeholder management/engagement expertise Housing/sector experience More ❯

technologies, particularly Node.js . Familiarity with API development and integration ( REST , GraphQL ) and Nest.js would be a huge benefit. Experience with databases ( Postgres/SQL ). Knowledge of version control systems, particularly Git . Familiarity with cloud platforms ( Vercel , Google Cloud/AWS preferred ) and containerisation. Experience with test frameworks More ❯