1 to 25 of 256 SQL Jobs in Central London

Specialist, ideally within SaaS, ITSM, or service-led organisations. Strong Python experience (essential), including use for data analysis, automation, modelling, and system integration. Advanced SQL skills and experience building and maintaining ETL pipelines. Advanced Power BI expertise, including DAX, dataflows, model optimisation, and performance tuning. Proven experience extracting and working ...

Developer , or Data Engineer . Bachelor’s or Master’s degree in Computer Science , Engineering , or a STEM field . Proficiency in Python and SQL for back‐end logic and data operations. Hands‐on experience with front‐end frameworks such as React or Next.js . Experience creating and maintaining APIs ...

Silver layers that support reliable downstream consumption. Advanced Python skills for ETL or ELT processes, API integration, data manipulation, and data quality enforcement. SQL proficiency with experience in schema design, performance tuning, and analytical data modelling. Proven experience integrating complex datasets from APIs, SFTP transfers, on-premise databases, and cloud ...

analysis. Design, prototype, benchmark and deploy scalable AI/ML solutions. Build and validate models with modern tools and frameworks. Analyse data with Python, SQL, ML/DL libraries, and deliver actionable insights. Visualise results and tell stories through dashboards (Tableau/Power BI). Operationalise models using MLOps, version ...

domains: Data science stack: NumPy, pandas/polars, scikit-learn, XGBoost, LightGBM Deep learning: PyTorch, JAX Statistical programming: NumPyro, PyMC Data skills: Proficient in SQL, with the ability to write efficient, maintainable queries and manage data pipelines for analytics and modeling workflows. ML Ops & deployment: Familiarity with deploying models into ...

Report UX/UI best practices Performance optimisation Hands-on experience with Microsoft Fabric features such as Lakehouse, Data Warehouse, dataflows, and semantic models. SQL skills for data exploration, transformation, and quality assurance. Experience analysing both structured and unstructured data sources. Ability to translate business questions into measurable insights. Excellent ...

experience in data or software engineering within financial services or a similar regulated industry. Strong full-stack experience with Python , Java (Spring Boot) , React , SQL, and relational databases. Hands-on experience with modern data engineering tools (e.g. Airflow, Spark, Kafka, dbt, Snowflake or similar). Experience with cloud platforms , containerisation ...

frameworks such as Robot Framework) Experience working with Cosmos DB (or strong NoSQL database testing experience) Experience in API testing (Postman, Requests, etc.) Strong SQL skills for data validation across databases and reporting layers Experience with Big Data testing and data-intensive platforms Familiarity with CI/CD pipelines ...

from-home flexibility is available. In this role, you will be responsible for performing the following: Advanced data analysis and modelling (Python and advanced SQL) Developing relational, logical and physical data models Perform hands-on data analysis, including data profiling and validations, data quality assessment and traceability analysis. Utilising ...

apply advanced data preparation, blending, refinement, and quality techniques (including big data). Experience applying intermediate statistics to business problems. Significant experience leveraging SQL and Python for data querying, collection, transformation, and analysis. Experience with data visualization tools such as Tableau and/or Power BI ; ability to design dashboards ...

Power Platform (Power Apps, Power Automate, Power BI, Power Virtual Agents) Strong Data Engineering background - specifically with Azure Data Factory ETL, Matillion ETL and SQL Experience designing and managing Snowflake Data Warehouse solutions Strong experience with Qliksense, data modelling and self-service analytics Experience in API Development What ...

platforms such as Snowflake, Databricks, Microsoft Purview, Collibra, Informatica, or AWS Experience with data analytics tools such as Alteryx, Tableau, Power BI, SQL , etc. Two stage interview process to start ASAP. ...

with Google Cloud Platform (GCP) and its data services (e.g. BigQuery, Dataflow, Cloud Storage, Composer/Orchestration tools) Solid programming skills in Python and SQL Experience designing and maintaining data warehouses, data models, and ETL/ELT pipelines Exposure to orchestration, batch and/or streaming data processing patterns Experience ...

automation, and data analytics and evaluate applicability to the firm's operations. IT Applications Manager/Applications Manager Knowledge, Sills and Experience: * Proficient in SQL, C#, Python, Java, HTML/CSS, and related development frameworks. * Understanding of API integration, data modelling, and application performance tuning. * Strong project management skills ...

hands-on experience in data analytics . Commercial experience with DBT and Snowflake. A very keen interest and experience in AI. Proficiency in SQL, Python, and Excel. Experience with version control tools (e.g. Git). A passion for using data to make things better—for people, products, and processes. ...

tooling, including programmatic LLM workflows where appropriate What you’ll bring 2+ years’ experience in data engineering within a modern data stack Strong SQL with a solid foundation in data modelling Python preferred, or similar, for pipeline development and automation Cloud experience across AWS, Azure, or GCP Familiarity with orchestration ...

skills (advanced). Nice to have C# or C++ experience in quant development environments. Familiarity with Bloomberg or other market data providers. Database experience (SQL, data pipelines, or model data stores). ML/DL experience applied to market data, forecasting, calibration, or analytics. Education Postgraduate degree (MSc/ ...

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 ...

more languages/frameworks (e.g., Node.js, Python, Go, Java, Ruby). Experience designing and implementing RESTful APIs or GraphQL services. Strong understanding of databases (SQL and/or NoSQL) and data modeling. Comfortable working with cloud platforms (AWS, GCP, Azure) and CI/CD workflows. Ability to reason about security ...

fast-moving environment Willing to be onsite 3 days per week (mandatory) Nice to have: Experience with SAP or similar finance/procurement systems SQL knowledge Experience with Power BI, Tableau or similar tools Exposure to SharePoint and Power Automate Background in media, creative, marketing or agency environments This role ...

clear ownership and documentation What We’re Looking For Essential Skills & Experience Strong knowledge of Oracle Fusion data structures (HCM, Payroll, Finance, Procurement) Advanced SQL and strong analytical skills Experience building management and statutory reports Exceptional attention to detail and commitment to data accuracy Excellent communication skills — able to explain ...

runtime internals. Experience with PHP 8.1+ (preferably Yii2 or Laravel frameworks). Solid front-end development experience with React, Next.js, Vue, or Svelte. Advanced SQL knowledge with MySQL/Aurora, including schema design and query optimisation. Experience designing and maintaining AWS DynamoDB schemas and indexes. Familiarity with AWS services including ...

full-stack development using any object oriented language (we use .NET) and any modern javascript framework (we use React) Experience working with databases (SQL and NoSQL), APIs, and web technologies. Experience with cloud platforms (AWS, GCP, Azure) Solid understanding of software engineering principles, including clean code, testing, and version control ...

successful, you will have the following experience: Strong background in Data Engineering including; ETL/ELT, data modelling and pipeline development Experience with Python, SQL and modern data tooling Experience with AWS, Azure, GCP cloud platforms and distribution data systems Strong background in working with Government customers DV Cleared Within ...

market making, or financial technology Understanding of financial markets, derivatives, or market microstructure Experience with low-latency or performance-critical systems Knowledge of databases (SQL/NoSQL) and distributed systems Degree in Computer Science, Engineering, Mathematics, Physics, or a related quantitative field ...