2,201 to 2,225 of 3,425 SQL Jobs in London

want to hear from you. Key Responsibilities: Develop, implement, and maintain integrations between diverse systems and applications, ensuring seamless data flow and functionality. Coding on a daily basis with SQL! Collaborate with cross-functional teams to gather requirements and design efficient integration solutions that meet business needs. Troubleshoot integration issues and perform debugging to identify and resolve technical challenges. Stay More ❯

want to hear from you. Key Responsibilities: Develop, implement, and maintain integrations between diverse systems and applications, ensuring seamless data flow and functionality. Coding on a daily basis with SQL! Collaborate with cross-functional teams to gather requirements and design efficient integration solutions that meet business needs. Troubleshoot integration issues and perform debugging to identify and resolve technical challenges. Stay More ❯

Any Case Management System experience is acceptable Experience of knowledge of working with ‘Share Do’ CMS would be a great advantage Familiarity with Agile methodologies Knowledge of C# and SQL is an advantage Excellent knowledge of MS Visio Excellent knowledge of MS Word Knowledge of MS DevOps and source control Highly organised and pro-active Experience of gathering requirements from More ❯

Any Case Management System experience is acceptable Experience of knowledge of working with ‘Share Do’ CMS would be a great advantage Familiarity with Agile methodologies Knowledge of C# and SQL is an advantage Excellent knowledge of MS Visio Excellent knowledge of MS Word Knowledge of MS DevOps and source control Highly organised and pro-active Experience of gathering requirements from More ❯

and mentorship Requirements for the Principal Data Engineer (Databricks) Deep hands-on experience with Databricks, Delta Live Tables (DLT), data modelling, data ingestion & integration Strong proficiency across Data Factory, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, GITHUB/DevOps tools, testing frameworks (SonarQube/PyTest) Proven experience leading data engineering teams while remaining actively hands-on involved in More ❯

and mentorship Requirements for the Principal Data Engineer (Databricks) Deep hands-on experience with Databricks, Delta Live Tables (DLT), data modelling, data ingestion & integration Strong proficiency across Data Factory, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, GITHUB/DevOps tools, testing frameworks (SonarQube/PyTest) Proven experience leading data engineering teams while remaining actively hands-on involved in More ❯

use. Contribute to centralised documentation and knowledge sharing to promote transparency and collaboration. Your Skills: Significant experience working with data in a commercial or digitally native environment. Proficiency in SQL, dbt, Python, or R, with experience using BI tools such as Looker, Tableau, or Lightdash. Strong ability to translate complex business problems into analytical tasks and communicate insights effectively. Confident More ❯

use. Contribute to centralised documentation and knowledge sharing to promote transparency and collaboration. Your Skills: Significant experience working with data in a commercial or digitally native environment. Proficiency in SQL, dbt, Python, or R, with experience using BI tools such as Looker, Tableau, or Lightdash. Strong ability to translate complex business problems into analytical tasks and communicate insights effectively. Confident More ❯

and mentorship Requirements for the Principal Data Engineer (Databricks) Deep hands-on experience with Databricks, Delta Live Tables (DLT), data modelling, data ingestion & integration Strong proficiency across Data Factory, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, GITHUB/DevOps tools, testing frameworks (SonarQube/PyTest) Proven experience leading data engineering teams while remaining actively hands-on involved in More ❯

and mentorship Requirements for the Principal Data Engineer (Databricks) Deep hands-on experience with Databricks, Delta Live Tables (DLT), data modelling, data ingestion & integration Strong proficiency across Data Factory, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, GITHUB/DevOps tools, testing frameworks (SonarQube/PyTest) Proven experience leading data engineering teams while remaining actively hands-on involved in More ❯

B2C, subscription-based, or loyalty-driven environments. Journey & Behaviour Analysis: Demonstrated ability to analyse customer journeys and behavioural data to inform and influence strategic business decisions. Technical Proficiency: Advanced SQL skills (required), with additional experience in Python or R considered an advantage. Data Visualization: Proficient in using tools such as Tableau and Looker to create compelling, actionable visual insights. Stakeholder More ❯

B2C, subscription-based, or loyalty-driven environments. Journey & Behaviour Analysis: Demonstrated ability to analyse customer journeys and behavioural data to inform and influence strategic business decisions. Technical Proficiency: Advanced SQL skills (required), with additional experience in Python or R considered an advantage. Data Visualization: Proficient in using tools such as Tableau and Looker to create compelling, actionable visual insights. Stakeholder More ❯

use. Contribute to centralised documentation and knowledge sharing to promote transparency and collaboration. Your Skills: Significant experience working with data in a commercial or digitally native environment. Proficiency in SQL, dbt, Python, or R, with experience using BI tools such as Looker, Tableau, or Lightdash. Strong ability to translate complex business problems into analytical tasks and communicate insights effectively. Confident More ❯

use. Contribute to centralised documentation and knowledge sharing to promote transparency and collaboration. Your Skills: Significant experience working with data in a commercial or digitally native environment. Proficiency in SQL, dbt, Python, or R, with experience using BI tools such as Looker, Tableau, or Lightdash. Strong ability to translate complex business problems into analytical tasks and communicate insights effectively. Confident More ❯

lead analytics engineering teams who design, build, and enhance essential data platforms and products. You will: Architect and optimize data pipelines and workflows using modern tools (e.g., dbt, Airflow, SQL, Python). Take ownership of large-scale analytics platforms and data warehouse solutions (such as Snowflake, BigQuery, Redshift). Mentor and guide engineers across analytics and data engineering disciplines. Ensure More ❯

lead analytics engineering teams who design, build, and enhance essential data platforms and products. You will: Architect and optimize data pipelines and workflows using modern tools (e.g., dbt, Airflow, SQL, Python). Take ownership of large-scale analytics platforms and data warehouse solutions (such as Snowflake, BigQuery, Redshift). Mentor and guide engineers across analytics and data engineering disciplines. Ensure More ❯

B2C, subscription-based, or loyalty-driven environments. Journey & Behaviour Analysis : Demonstrated ability to analyse customer journeys and behavioural data to inform and influence strategic business decisions. Technical Proficiency : Advanced SQL skills (required), with additional experience in Python or R considered an advantage. Data Visualization : Proficient in using tools such as Tableau and Looker to create compelling, actionable visual insights. Stakeholder More ❯

B2C, subscription-based, or loyalty-driven environments. Journey & Behaviour Analysis: Demonstrated ability to analyse customer journeys and behavioural data to inform and influence strategic business decisions. Technical Proficiency: Advanced SQL skills (required), with additional experience in Python or R considered an advantage. Data Visualization: Proficient in using tools such as Tableau and Looker to create compelling, actionable visual insights. Stakeholder More ❯

experience supporting Algorithmic electronic trading platforms – particularly low latency, High Frequency platforms in the Equities, Fixed Income or FX or arenas. · Highly motivated individual who is adaptable to change · SQL/Oracle/Sybase experience (Doesn’t’ have to be all three) · Strong UNIX/Linux experience · Knowledge of common scripting languages and ability to automate common processes, and interact More ❯

experience supporting Algorithmic electronic trading platforms – particularly low latency, High Frequency platforms in the Equities, Fixed Income or FX or arenas. · Highly motivated individual who is adaptable to change · SQL/Oracle/Sybase experience (Doesn’t’ have to be all three) · Strong UNIX/Linux experience · Knowledge of common scripting languages and ability to automate common processes, and interact More ❯

lead analytics engineering teams who design, build, and enhance essential data platforms and products. You will: Architect and optimize data pipelines and workflows using modern tools (e.g., dbt, Airflow, SQL, Python). Take ownership of large-scale analytics platforms and data warehouse solutions (such as Snowflake, BigQuery, Redshift). Mentor and guide engineers across analytics and data engineering disciplines. Ensure More ❯

user clicks- A functional internal tool for non-technical stakeholders- Documentation and guidance for productionisation Required Skills Must-Have: Expert-level Python (Pandas, modelling libraries such as Scikit-learn) SQL AWS cloud experience Proven end-to-end ownership of data science solutions Model explainability (SHAP, LIME, feature importance) Ability to build simple dashboards or web apps (Streamlit, Dash, or Flask More ❯

lead analytics engineering teams who design, build, and enhance essential data platforms and products. You will: Architect and optimize data pipelines and workflows using modern tools (e.g., dbt, Airflow, SQL, Python). Take ownership of large-scale analytics platforms and data warehouse solutions (such as Snowflake, BigQuery, Redshift). Mentor and guide engineers across analytics and data engineering disciplines. Ensure More ❯

experience supporting Algorithmic electronic trading platforms – particularly low latency, High Frequency platforms in the Equities, Fixed Income or FX or arenas. · Highly motivated individual who is adaptable to change · SQL/Oracle/Sybase experience (Doesn’t’ have to be all three) · Strong UNIX/Linux experience · Knowledge of common scripting languages and ability to automate common processes, and interact More ❯

experience supporting Algorithmic electronic trading platforms – particularly low latency, High Frequency platforms in the Equities, Fixed Income or FX or arenas. · Highly motivated individual who is adaptable to change · SQL/Oracle/Sybase experience (Doesn’t’ have to be all three) · Strong UNIX/Linux experience · Knowledge of common scripting languages and ability to automate common processes, and interact More ❯