26 to 50 of 2,437 SQL Jobs in London

Computer Science, Data Science, or a related field. Minimum 4 years of experience years of experience in data engineering, data integration, or a related role. Technical Skills: Proficiency with SQL (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g. MongoDB), with hands-on experience in query optimization and data modelling. Strong programming skills in Python (preferred), with a focus on building scalable More ❯

as sprint planning, story refinement, and backlog grooming. Required Skills & Experience 5+ years of experience as a data or business analyst in a trading or energy environment. Proficiency in SQL and Python for data querying and transformation. Solid background in data reconciliation, testing, and profiling . Experience with relational databases and data warehousing concepts. Exposure to market data and financial More ❯

and backend development. Proficiency in Java, Python, JavaScript, Angular, and NodeJS. Experience with RESTful APIs, microservices, and event-driven architectures. Solid understanding of data structures, algorithms, and database technologies (SQL and NoSQL). Experience with cloud technologies (e.g., AWS, Azure, GCP) and messaging systems like Kafka. Knowledge of software design patterns, architectural principles, and best practices. Experience with DevOps practices More ❯

provide training on data tools and workflows. Skills and experience • Experience in building ELT/ETL pipelines and managing data workflows. • Proficiency in programming languages such as PySPark, Python, SQL, or Scala. • Solid understanding of data modelling and relational database concepts. • Knowledge of GDPR and UK data protection regulations. Preferred Skills: • Experience with Power BI for data visualization and reporting. More ❯

solve complex data science use-cases across various industries Design and develop feature engineering pipelines, build ML & AI infrastructure, deploy models, and orchestrate advanced analytical insights Write code in SQL, Python, and Spark following software engineering best practices Collaborate with stakeholders and customers to ensure successful project delivery Who we are looking for We are looking for collaborative individuals who More ❯

modern data engineering and reporting. Including storage, data pipelines to ingest and transform data, and querying & reporting of analytical data. You've worked with technologies such as Python, Spark, SQL, Pyspark, PowerBI etc. You're a problem-solver, pragmatically exploring options and finding effective solutions. An understanding of how to design and build well-structured, maintainable systems. Strong communication skills More ❯

Proven experience in the energy trading sector, ideally with exposure to Natural Gas and Power markets, balancing mechanisms, and regulatory frameworks (e.g., REMIT, EMIR). Expert in Python and SQL; strong experience with data engineering libraries (e.g., Pandas, PySpark, Dask). Deep knowledge of ETL/ELT frameworks and orchestration tools (e.g., Airflow, Azure Data Factory, Dagster). Proficient in More ❯

as a means to solve challenges. Proficiency in a programming language (e.g., Scala, Python, Java, C#) with understanding of domain modelling and application development. Knowledge of data management platforms (SQL, NoSQL, Spark/Databricks). Experience with modern engineering tools (Git, CI/CD), cloud platforms (Azure, AWS), and Infrastructure as Code (Terraform, Pulumi). Familiarity with various frameworks across More ❯

degree or higher Significant experience building and leading teams delivering cross-functional projects. Experience of embedding operation excellence culture within their teams. Knowledge of database modelling, database concepts and SQL Experience with data visualization frameworks like D3.js, Plotly, Matplotlib, or similar Hybrid working applies to this role, with the expectation of 2-3 days per week onsite. We create a More ❯

and development. Strong knowledge of Azure-hosted environments and migration processes. Experience with Power Apps, Power Automate, and Power BI for enhancing Dynamics 365 functionality. Proficient in JavaScript, MS SQL, MS CRM SDK, C# .NET and other relevant programming languages. Familiarity with data migration, integration, and synchronization between Dynamics 365 and external systems. Understanding of security models and data privacy More ❯

experience deploying and managing production machine learning models using Azure Machine Learning. * Strong grasp of MLOps principles, including CI/CD, model monitoring, and retraining pipelines. * Experience with Python, SQL, and Azure data services such as Data Factory, Blob Storage, or Data Lake. * Proficiency with DevOps tools (e.g., Git, Azure DevOps) and version control workflows. * Familiarity with reporting and visualisation More ❯

experience deploying and managing production machine learning models using Azure Machine Learning.* Strong grasp of MLOps principles, including CI/CD, model monitoring, and retraining pipelines.* Experience with Python, SQL, and Azure data services such as Data Factory, Blob Storage, or Data Lake.* Proficiency with DevOps tools (e.g., Git, Azure DevOps) and version control workflows.* Familiarity with reporting and visualisation More ❯

visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling - Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance More ❯

Science, Engineering, or a related field. - 3+ years of experience in data engineering or related roles. - Strong programming skills in languages such as Python, Java, or Scala. - Expertise in SQL and experience with both relational and NoSQL databases. - Familiarity with cloud platforms (e.g., AWS) and their services. - Knowledge of data modeling, data warehousing, and ETL design patterns. - Experience with version More ❯

data analytics, data science, and data modeling. Proven experience in building and maintaining enterprise-level data models. Strong working knowledge of data lineage and data dictionary management. Proficiency in SQL, Python, R, or other data science tools and frameworks. Experience leading data or analytics teams and mentoring junior staff. Strong communication and stakeholder management skills. Working experience of below skill More ❯

data analytics, data science, and data modeling. Proven experience in building and maintaining enterprise-level data models. Strong working knowledge of data lineage and data dictionary management. Proficiency in SQL, Python, R, or other data science tools and frameworks. Experience leading data or analytics teams and mentoring junior staff. Strong communication and stakeholder management skills. Working experience of below skill More ❯

data analytics, data science, and data modeling. Proven experience in building and maintaining enterprise-level data models. Strong working knowledge of data lineage and data dictionary management. Proficiency in SQL, Python, R, or other data science tools and frameworks. Experience leading data or analytics teams and mentoring junior staff. Strong communication and stakeholder management skills. Working experience of below skill More ❯

data analytics, data science, and data modeling. Proven experience in building and maintaining enterprise-level data models. Strong working knowledge of data lineage and data dictionary management. Proficiency in SQL, Python, R, or other data science tools and frameworks. Experience leading data or analytics teams and mentoring junior staff. Strong communication and stakeholder management skills. Working experience of below skill More ❯

tools such as Postman or Swagger to observe behaviour of APIs Technical awareness and experience of a service architected platform Process analysis, data mapping and data analytical skills using SQL, Excel and Power BI Proficiency in designing and implementing data models Strong understanding of BI concepts and tools Must have experience with client-facing applications and digital transformation Experience with More ❯

and initiatives. Mentor junior data analysts and promote data literacy across the organization. Champion the adoption of data-driven decision-making and best practices throughout Freetrade. About you Strong SQL proficiency for data extraction, manipulation, and analysis. Expertise in data visualization tools (e.g., Tableau, Power BI) and creating compelling dashboards and reports. Proven ability to connect KPIs and analysis to More ❯

or equivalent practical experience). Professional experience as a Full Stack Software Engineer, with a strong emphasis on Java (Java 11/17). Experience with relational databases (e.g., SQL, PostgreSQL, MySQL) and ORM frameworks (e.g., Hibernate, JPA). Solid understanding of front-end technologies such as HTML, CSS, JavaScript, and modern JavaScript frameworks (e.g., ReactJS, MobX and TypeScript). More ❯

CD - Github Actions/Jenkins Business Intelligence - Looker Skills & Attributes We'd Like To See: Extensive experience in data engineering, including designing and maintaining robust data pipelines. Proficient in SQL and relational databases; familiarity with modern data warehousing solutions such as Snowflake is preferred. Proficient in programming, capable of developing and maintaining tested, production-ready data solutions, preferably in Python. More ❯

quality and accuracy to build a robust foundation that unlocks various ML use cases. Qualifications: 5+ years of experience in analytics engineering, data engineering, or a related field. Advanced SQL skills and experience architecting solutions on modern data warehouses (e.g., Snowflake, BigQuery, Redshift). Hands-on experience with advanced modelling techniques in dbt. A deep understanding of ETL/ELT More ❯

Our Client, working closely with the NHS requires a skilled SQL DBA to join the team on a permanent basis. The role is fully remote and previous NHS experience is desirable. The role is primarily as a SQL DBA, but there is an element of providing 2nd and 3rd line support, dealing with client queries, running data checks, making sure … or equivalent in a software engineering/DB discipline and/or Professional qualifications appropriate to DB engineering roles. Experience of large transactional databases (100GB+) Excellent knowledge of the SQL Database Engine Excellent performance tuning skills (experience of Query Tuning, Indexing, Locking etc). Excellent communication skills - both to a technical and non-technical audience. Experience in engaging at a … commercial level with customers both technical and nontechnical. Experience of database release/upgrades with product releases Extensive experience of working with Microsoft SQL Server 2005/2008/2012/2014 Strong T-SQL Experience (creating/administrating stored procedures, scripts, functions, triggers and other objects) Experience in the manipulation, transformation, and exploration of large multi-dimensional datasets. Experience More ❯

measurement frameworks, and quantitative validation methods Strong communicator who can translate complex technical concepts and influence decisions Analytical problem-solver who transforms ambiguous challenges into structured, data-informed solutions SQL proficiency for analysing user behaviours and conversion funnels Statistical knowledge (hypothesis testing, regression) for measuring improvements Visualisation tool expertise (Tableau, Power BI, Looker) for effective data storytelling Experience with digital More ❯