51 to 75 of 1,434 SQL Jobs in Central London

ensure the data warehouse, marts and services operate smoothly. Data Management: Manage and optimize data to ensure efficient data storage and retrieval. Write complex SQL queries to manipulate and analyse data. Data Integration: Integrate data from multiple sources, ensuring seamless data flow and consistency. Collaborate with IT and business teams More ❯

Catalogue data sources and refresh schedules General Ensure compliance with company policies and support evolving business needs Technical Skills & Tools Power BI, Microsoft Azure, SQL, ETL, data warehousing, data transformation and mapping Python and knowledge of data warehouse design are a plus Qualifications Degree-level education or equivalent Experience in More ❯

Catalogue data sources and refresh schedules General Ensure compliance with company policies and support evolving business needs Technical Skills & Tools Power BI, Microsoft Azure, SQL, ETL, data warehousing, data transformation and mapping Python and knowledge of data warehouse design are a plus Qualifications Degree-level education or equivalent Experience in More ❯

strategies. Skills profile Relevant experience & education 3+ years working experience in the field of data analytics. Proven experience with advanced data analytics tools (e.g., SQL, Python, Tableau, Power BI, Looker) and data visualization platforms. Demonstrable experience planning and executing complex reporting & analytics projects across multiple stakeholders. Understanding of data quality More ❯

strategies. Skills profile Relevant experience & education 3+ years working experience in the field of data analytics. Proven experience with advanced data analytics tools (e.g., SQL, Python, Tableau, Power BI, Looker) and data visualization platforms. Demonstrable experience planning and executing complex reporting & analytics projects across multiple stakeholders. Understanding of data quality More ❯

led models that support activities such as forecasting, segmentation, retention, predictive visit analytics, and guest lifetime value analysis. ✅ Must have requirements: Strong proficiency in SQL Min. 4-5 years' experience in analytics, with a strong focus on customer insight, commercial impact and stakeholder communication. Advanced Power BI experience, including DAX More ❯

using Google Cloud Platform Hands-on experience with GCP tools: BigQuery, Dataform, Dataproc, Composer, Pub/Sub Strong programming skills in Python, PySpark , and SQL Deep understanding of data engineering concepts, including ETL, data warehousing, and cloud storage Strong communication skills with the ability to collaborate across technical and non More ❯

led models that support activities such as forecasting, segmentation, retention, predictive visit analytics, and guest lifetime value analysis. ✅ Must have requirements: Strong proficiency in SQL Min. 4-5 years' experience in analytics, with a strong focus on customer insight, commercial impact and stakeholder communication. Advanced Power BI experience, including DAX More ❯

using Google Cloud Platform Hands-on experience with GCP tools: BigQuery, Dataform, Dataproc, Composer, Pub/Sub Strong programming skills in Python, PySpark , and SQL Deep understanding of data engineering concepts, including ETL, data warehousing, and cloud storage Strong communication skills with the ability to collaborate across technical and non More ❯

reporting needs and provide recommendations based on findings. Automate and streamline reporting processes to increase efficiency. Strong experience with data analysis tools such as SQL, Excel, Tableau, Power BI, or similar. Proficiency in data visualisation and reporting techniques. Solid understanding of data modelling and database design. Strong analytical and problem More ❯

lake patterns , including ingestion, governance, and quality. Strong technical skills in BigQuery, DataProc, Dataform, Composer, Pub/Sub . Fluent in Python, PySpark, and SQL . Experience with BI tools like Looker or Power BI. Strong client-facing and communication skills — able to lead conversations with both business and technical More ❯

lake patterns , including ingestion, governance, and quality. Strong technical skills in BigQuery, DataProc, Dataform, Composer, Pub/Sub . Fluent in Python, PySpark, and SQL . Experience with BI tools like Looker or Power BI. Strong client-facing and communication skills — able to lead conversations with both business and technical More ❯

Bachelor’s degree in a numeric, scientific, or finance-related field. Extensive experience in business intelligence, data analytics, or management information roles. Proficient in SQL, with expertise in querying large database systems and developing robust code. Advanced Tableau skills, capable of creating engaging and value-adding dashboards, analytics, and reports. More ❯

Bachelor’s degree in a numeric, scientific, or finance-related field. Extensive experience in business intelligence, data analytics, or management information roles. Proficient in SQL, with expertise in querying large database systems and developing robust code. Advanced Tableau skills, capable of creating engaging and value-adding dashboards, analytics, and reports. More ❯

Fabric , and data product-led approaches Data modelling expertise (relational, dimensional) and familiarity with tools like Erwin , Sparx , Archi Experience with ETL/ELT , SQL/NoSQL , Python or Java, and visualisation/BI tools Knowledge of data governance , compliance, and security frameworks Comfortable operating in Agile environments (Scrum, Kanban More ❯

Fabric , and data product-led approaches Data modelling expertise (relational, dimensional) and familiarity with tools like Erwin , Sparx , Archi Experience with ETL/ELT , SQL/NoSQL , Python or Java, and visualisation/BI tools Knowledge of data governance , compliance, and security frameworks Comfortable operating in Agile environments (Scrum, Kanban More ❯

specialists. Exposure to real-time data engineering (Kafka, Airflow, dbt) Track record turning research code into production services (CI/CD, containers etc) Strong SQL and data-management skills; experience querying large analytical databases (Snowflake highly desirable, but Redshift/BigQuery/ClickHouse etc. also welcome). PREFERRED QUALIFICATIONS: Meteorological More ❯

specialists. Exposure to real-time data engineering (Kafka, Airflow, dbt) Track record turning research code into production services (CI/CD, containers etc) Strong SQL and data-management skills; experience querying large analytical databases (Snowflake highly desirable, but Redshift/BigQuery/ClickHouse etc. also welcome). PREFERRED QUALIFICATIONS: Meteorological More ❯

data literacy across the organisation Continuously improve analytics capabilities, exploring new methodologies and technologies What we'd like to see from you: Proficiency in SQL, advanced Excel, and data visualisation tools like Power BI or Tableau. Strong experience in statistical analysis and programming using tools like Python or R for More ❯

data literacy across the organisation Continuously improve analytics capabilities, exploring new methodologies and technologies What we'd like to see from you: Proficiency in SQL, advanced Excel, and data visualisation tools like Power BI or Tableau. Strong experience in statistical analysis and programming using tools like Python or R for More ❯

the business strategies. Relevant experience & skills: 3+ years working experience in the field of data analytics. Proven experience with advanced data analytics tools (e.g., SQL, Python, Tableau, Power BI, Looker) and data visualization platforms. Demonstrable experience planning and executing complex reporting & analytics projects across multiple stakeholders. Understanding of data quality More ❯

the business strategies. Relevant experience & skills: 3+ years working experience in the field of data analytics. Proven experience with advanced data analytics tools (e.g., SQL, Python, Tableau, Power BI, Looker) and data visualization platforms. Demonstrable experience planning and executing complex reporting & analytics projects across multiple stakeholders. Understanding of data quality More ❯

operations. Optimize data storage and retrieval mechanisms across cloud-based databases, preferably Azure CosmosDB, Neo4j Graph DB (or similar technology e.g., Amazon RDS, Azure SQL, BigQuery, NoSQL). Application Architecture & Security Architect microservices-based applications, ensuring modular, scalable, and API-first designs Design and implement application security controls, including IAM More ❯

operations. Optimize data storage and retrieval mechanisms across cloud-based databases, preferably Azure CosmosDB, Neo4j Graph DB (or similar technology e.g., Amazon RDS, Azure SQL, BigQuery, NoSQL). Application Architecture & Security Architect microservices-based applications, ensuring modular, scalable, and API-first designs Design and implement application security controls, including IAM More ❯

Substantial experience using the following technology suite (Selenium, Specflow, Nunit, Extent-Reporting, Page Object Model). • C# Programming language • Visual Studio 2019 or higher • SQL • Experience of MS Office, MS Project and Visio. • SDLC methodology. • Testing in an Agile (SCRUM) environment. • Test leadership and execution of functional and non-functional More ❯