2,051 to 2,075 of 2,756 SQL Jobs in the South East

Certified Google Cloud (GCP) Data Engineer with strong expertise in data acquisition, modelling, ETL, and data warehousing. • Proficient in Terraform, YAML, and GitLab for environment management. • Skilled in MS SQL, GCP SQL, and Oracle DB design, with a focus on data quality and governance. • Strong understanding of contact centre metrics and systems (e.g. WFM, IVR, Call Routing). • Proven ability More ❯

Certified Google Cloud (GCP) Data Engineer with strong expertise in data acquisition, modelling, ETL, and data warehousing. • Proficient in Terraform, YAML, and GitLab for environment management. • Skilled in MS SQL, GCP SQL, and Oracle DB design, with a focus on data quality and governance. • Strong understanding of contact centre metrics and systems (e.g. WFM, IVR, Call Routing). • Proven ability More ❯

Certified Google Cloud (GCP) Data Engineer with strong expertise in data acquisition, modelling, ETL, and data warehousing. • Proficient in Terraform, YAML, and GitLab for environment management. • Skilled in MS SQL, GCP SQL, and Oracle DB design, with a focus on data quality and governance. • Strong understanding of contact centre metrics and systems (e.g. WFM, IVR, Call Routing). • Proven ability More ❯

Certified Google Cloud (GCP) Data Engineer with strong expertise in data acquisition, modelling, ETL, and data warehousing. • Proficient in Terraform, YAML, and GitLab for environment management. • Skilled in MS SQL, GCP SQL, and Oracle DB design, with a focus on data quality and governance. • Strong understanding of contact centre metrics and systems (e.g. WFM, IVR, Call Routing). • Proven ability More ❯

roadmap, proposing scalable Azure-native solutions, and collaborating with the Solution Architect and Head of Data. Design and build data pipelines into Azure (Data Lake, Synapse, Blob Storage, Azure SQL) to ingest structured, semi-structured, and unstructured data from multiple sources and APIs. Develop and optimise ETL/ELT workflows using Azure Data Factory, applying robust transformation logic, validation, and … policies. Deliver high-quality documentation and collaboration , leading data mapping, model design, and cross-functional workshops to support platform migration and ongoing delivery. Experience: 6-10 years experience with SQL Server (including T-SQL and performance tuning). Proven background in ETL/ELT design (ideally using Azure Data Factory). Hands on experience with cloud-based data ingestion and … experience using APIs, SFTP, and file-based systems. Proficient with Power Automate, SharePoint, and Office 365 integrations. Basic C# or PowerShell for automation or custom integration tasks. Experienced in SQL optimization, troubleshooting, and scalability. Cloud certification (Azure Practitioner or similar) is advantageous. More ❯

roadmap, proposing scalable Azure-native solutions, and collaborating with the Solution Architect and Head of Data. Design and build data pipelines into Azure (Data Lake, Synapse, Blob Storage, Azure SQL) to ingest structured, semi-structured, and unstructured data from multiple sources and APIs. Develop and optimise ETL/ELT workflows using Azure Data Factory, applying robust transformation logic, validation, and … policies. Deliver high-quality documentation and collaboration , leading data mapping, model design, and cross-functional workshops to support platform migration and ongoing delivery. Experience: 6–10 years experience with SQL Server (including T-SQL and performance tuning). Proven background in ETL/ELT design (ideally using Azure Data Factory). Hands on experience with cloud-based data ingestion and … experience using APIs, SFTP, and file-based systems. Proficient with Power Automate, SharePoint, and Office 365 integrations. Basic C# or PowerShell for automation or custom integration tasks. Experienced in SQL optimization, troubleshooting, and scalability. Cloud certification (Azure Practitioner or similar) is advantageous. More ❯

roadmap, proposing scalable Azure-native solutions, and collaborating with the Solution Architect and Head of Data. Design and build data pipelines into Azure (Data Lake, Synapse, Blob Storage, Azure SQL) to ingest structured, semi-structured, and unstructured data from multiple sources and APIs. Develop and optimise ETL/ELT workflows using Azure Data Factory, applying robust transformation logic, validation, and … policies. Deliver high-quality documentation and collaboration , leading data mapping, model design, and cross-functional workshops to support platform migration and ongoing delivery. Experience: 6–10 years experience with SQL Server (including T-SQL and performance tuning). Proven background in ETL/ELT design (ideally using Azure Data Factory). Hands on experience with cloud-based data ingestion and … experience using APIs, SFTP, and file-based systems. Proficient with Power Automate, SharePoint, and Office 365 integrations. Basic C# or PowerShell for automation or custom integration tasks. Experienced in SQL optimization, troubleshooting, and scalability. Cloud certification (Azure Practitioner or similar) is advantageous. More ❯

roadmap, proposing scalable Azure-native solutions, and collaborating with the Solution Architect and Head of Data. Design and build data pipelines into Azure (Data Lake, Synapse, Blob Storage, Azure SQL) to ingest structured, semi-structured, and unstructured data from multiple sources and APIs. Develop and optimise ETL/ELT workflows using Azure Data Factory, applying robust transformation logic, validation, and … policies. Deliver high-quality documentation and collaboration , leading data mapping, model design, and cross-functional workshops to support platform migration and ongoing delivery. Experience: 6–10 years experience with SQL Server (including T-SQL and performance tuning). Proven background in ETL/ELT design (ideally using Azure Data Factory). Hands on experience with cloud-based data ingestion and … experience using APIs, SFTP, and file-based systems. Proficient with Power Automate, SharePoint, and Office 365 integrations. Basic C# or PowerShell for automation or custom integration tasks. Experienced in SQL optimization, troubleshooting, and scalability. Cloud certification (Azure Practitioner or similar) is advantageous. More ❯

working with real-time Low Latency Market Data . Expertise in Python, including popular Python libraries for data wrangling, such as Pandas, NumPy, and SQLAlchemy. Experience working with traditional SQL databases (e.g. PostgreSQL, MySQL, SQL Server) and cloud data warehouses (e.g. Snowflake, Databricks, BigQuery, Redshift). Experience with time-series data, and/or implementing data pipelines from major financial More ❯

working with real-time Low Latency Market Data . Expertise in Python, including popular Python libraries for data wrangling, such as Pandas, NumPy, and SQLAlchemy. Experience working with traditional SQL databases (e.g. PostgreSQL, MySQL, SQL Server) and cloud data warehouses (e.g. Snowflake, Databricks, BigQuery, Redshift). Experience with time-series data, and/or implementing data pipelines from major financial More ❯

working with real-time Low Latency Market Data . Expertise in Python, including popular Python libraries for data wrangling, such as Pandas, NumPy, and SQLAlchemy. Experience working with traditional SQL databases (e.g. PostgreSQL, MySQL, SQL Server) and cloud data warehouses (e.g. Snowflake, Databricks, BigQuery, Redshift). Experience with time-series data, and/or implementing data pipelines from major financial More ❯

with Pricing Curves, Exposure, CSA (Credit Support Annex), and SPO (Special Purpose Order). Proficiency in data analysis and mapping, including gap analysis across systems. Hands-on experience with SQL and relational databases (Oracle, MS SQL Server). Knowledge of system integration with trading platforms such as FXall, FXGO, GPS, and TradePoint. Experience with agile delivery tools such as JIRA More ❯

with Pricing Curves, Exposure, CSA (Credit Support Annex), and SPO (Special Purpose Order). Proficiency in data analysis and mapping, including gap analysis across systems. Hands-on experience with SQL and relational databases (Oracle, MS SQL Server). Knowledge of system integration with trading platforms such as FXall, FXGO, GPS, and TradePoint. Experience with agile delivery tools such as JIRA More ❯

with Pricing Curves, Exposure, CSA (Credit Support Annex), and SPO (Special Purpose Order). Proficiency in data analysis and mapping, including gap analysis across systems. Hands-on experience with SQL and relational databases (Oracle, MS SQL Server). Knowledge of system integration with trading platforms such as FXall, FXGO, GPS, and TradePoint. Experience with agile delivery tools such as JIRA More ❯

with Pricing Curves, Exposure, CSA (Credit Support Annex), and SPO (Special Purpose Order). Proficiency in data analysis and mapping, including gap analysis across systems. Hands-on experience with SQL and relational databases (Oracle, MS SQL Server). Knowledge of system integration with trading platforms such as FXall, FXGO, GPS, and TradePoint. Experience with agile delivery tools such as JIRA More ❯

experience with modern software development and release engineering practices (e.g. TDD, CI/CD). • Experience with Apache Spark or any other distributed data programming frameworks. • Comfortable writing efficient SQL and debugging on cloud warehouses like Databricks SQL or Snowflake. • Experience with cloud infrastructure like AWS or Azure. • Experience with Linux and containerisation (e.g Docker, shell scripting). • Understanding Data More ❯

is a remote role with some travel into London. About the Role You will work on end-to-end production of Power BI reports, combining multiple data sources using SQL and Power Query, developing robust data models, creating DAX measures, and delivering visually clear dashboards using standard templates. You will also conduct unit testing, support business testing, and maintain in … multiple data sources using Power Query. Build and maintain performant data models, ensuring simplicity and efficiency in DAX calculations. Design visuals and layouts following company templates and standards. Write SQL queries against the Enterprise Data Warehouse to extract and transform data. Conduct unit testing, spot anomalies, and support business testing. Produce in-line and external documentation to maintain high-quality … deliverables. Technical Skills & Experience Strong SQL skills (joins, CTEs, sub-queries, window functions). Power Query for data extraction and transformation in Power BI and Excel. Power BI Data Modelling for large and complex datasets. DAX for measures and calculations within Power BI. Experience creating clear, visually effective reports using standard Power BI visualisations. Good documentation practices, both in-line More ❯

is a remote role with some travel into London. About the Role You will work on end-to-end production of Power BI reports, combining multiple data sources using SQL and Power Query, developing robust data models, creating DAX measures, and delivering visually clear dashboards using standard templates. You will also conduct unit testing, support business testing, and maintain in … multiple data sources using Power Query. Build and maintain performant data models, ensuring simplicity and efficiency in DAX calculations. Design visuals and layouts following company templates and standards. Write SQL queries against the Enterprise Data Warehouse to extract and transform data. Conduct unit testing, spot anomalies, and support business testing. Produce in-line and external documentation to maintain high-quality … deliverables. Technical Skills & Experience Strong SQL skills (joins, CTEs, sub-queries, window functions). Power Query for data extraction and transformation in Power BI and Excel. Power BI Data Modelling for large and complex datasets. DAX for measures and calculations within Power BI. Experience creating clear, visually effective reports using standard Power BI visualisations. Good documentation practices, both in-line More ❯

is a remote role with some travel into London. About the Role You will work on end-to-end production of Power BI reports, combining multiple data sources using SQL and Power Query, developing robust data models, creating DAX measures, and delivering visually clear dashboards using standard templates. You will also conduct unit testing, support business testing, and maintain in … multiple data sources using Power Query. Build and maintain performant data models, ensuring simplicity and efficiency in DAX calculations. Design visuals and layouts following company templates and standards. Write SQL queries against the Enterprise Data Warehouse to extract and transform data. Conduct unit testing, spot anomalies, and support business testing. Produce in-line and external documentation to maintain high-quality … deliverables. Technical Skills & Experience Strong SQL skills (joins, CTEs, sub-queries, window functions). Power Query for data extraction and transformation in Power BI and Excel. Power BI Data Modelling for large and complex datasets. DAX for measures and calculations within Power BI. Experience creating clear, visually effective reports using standard Power BI visualisations. Good documentation practices, both in-line More ❯

third-party suppliers meets expectations and act as a key point of contact around R12 integrations. Extensive Oracle R12 EBS Financials experience is a pre-requisite, allied with strong SQL/PL/SQL skills, extensive experience working with Oracle Forms, Reports and solid OAF skills. Experience with Oracle Workflow, BI Publisher, Oracle Integration Cloud (OIC), SSIS and other system … tools is also desirable. This role allows for hybrid working, with a weekly presence onsite expected. Keywords: Oracle Financials, Oracle R12 EBS, Functional Lead, Technical Specialist, Oracle Functional Consultant, SQL, PL, SQL, Oracle Forms, Integrations, Oracle Fusion, Financial Applications. More ❯

third-party suppliers meets expectations and act as a key point of contact around R12 integrations. Extensive Oracle R12 EBS Financials experience is a pre-requisite, allied with strong SQL/PL/SQL skills, extensive experience working with Oracle Forms, Reports and solid OAF skills. Experience with Oracle Workflow, BI Publisher, Oracle Integration Cloud (OIC), SSIS and other system … tools is also desirable. This role allows for hybrid working, with a weekly presence onsite expected. Keywords: Oracle Financials, Oracle R12 EBS, Functional Lead, Technical Specialist, Oracle Functional Consultant, SQL, PL, SQL, Oracle Forms, Integrations, Oracle Fusion, Financial Applications. JBRP1_UKTJ More ❯

pipelines and APIs, building and optimizing ETL processes, managing large datasets, troubleshooting data issues, and documenting technical solutions. The ideal candidate will have strong coding skills in Python and SQL, experience with dbt, Azure DevOps, and CI/CD best practices, and a solid understanding of data warehousing principles. Success in this role requires excellent communication, a collaborative mindset, and … days a week out of the London office. Day to Day: Develop and maintain Azure-based data pipelines for Finance and Operations. Build and optimize ETL workflows using SQL and dbt. Write Python scripts for data transformation and automation. Deploy infrastructure as code and manage cloud data solutions. Collaborate with project managers and contractors across global teams. Ensure data quality … with best practices. Troubleshoot and resolve data-related issues promptly. Document technical solutions and maintain test scripts. Must Haves: Strong experience in data engineering. Expertise in Azure (cloud platform) SQL (advanced ETL and query optimization) dbt (data transformation pipelines) Python (data transformation and automation scripts) Azure DevOps/GitHub (CI/CD pipelines, source control) Data warehousing and ETL best More ❯

pipelines and APIs, building and optimizing ETL processes, managing large datasets, troubleshooting data issues, and documenting technical solutions. The ideal candidate will have strong coding skills in Python and SQL, experience with dbt, Azure DevOps, and CI/CD best practices, and a solid understanding of data warehousing principles. Success in this role requires excellent communication, a collaborative mindset, and … days a week out of the London office. Day to Day: Develop and maintain Azure-based data pipelines for Finance and Operations. Build and optimize ETL workflows using SQL and dbt. Write Python scripts for data transformation and automation. Deploy infrastructure as code and manage cloud data solutions. Collaborate with project managers and contractors across global teams. Ensure data quality … with best practices. Troubleshoot and resolve data-related issues promptly. Document technical solutions and maintain test scripts. Must Haves: Strong experience in data engineering. Expertise in Azure (cloud platform) SQL (advanced ETL and query optimization) dbt (data transformation pipelines) Python (data transformation and automation scripts) Azure DevOps/GitHub (CI/CD pipelines, source control) Data warehousing and ETL best More ❯

pipelines and APIs, building and optimizing ETL processes, managing large datasets, troubleshooting data issues, and documenting technical solutions. The ideal candidate will have strong coding skills in Python and SQL, experience with dbt, Azure DevOps, and CI/CD best practices, and a solid understanding of data warehousing principles. Success in this role requires excellent communication, a collaborative mindset, and … days a week out of the London office. Day to Day: Develop and maintain Azure-based data pipelines for Finance and Operations. Build and optimize ETL workflows using SQL and dbt. Write Python scripts for data transformation and automation. Deploy infrastructure as code and manage cloud data solutions. Collaborate with project managers and contractors across global teams. Ensure data quality … with best practices. Troubleshoot and resolve data-related issues promptly. Document technical solutions and maintain test scripts. Must Haves: Strong experience in data engineering. Expertise in Azure (cloud platform) SQL (advanced ETL and query optimization) dbt (data transformation pipelines) Python (data transformation and automation scripts) Azure DevOps/GitHub (CI/CD pipelines, source control) Data warehousing and ETL best More ❯

insights. Ability to validate KPIs and metrics aligned with operational goals across departments. • Data Modeling & Snowflake Expertise: Proficiency in designing scalable and efficient data models using Snowflake. Experience with SQL for querying, transforming, and preparing data for analysis and visualization. Understanding of data warehousing principles and dimensional modeling. • Data Integration and ETL: Knowledge of ETL processes, data extraction, and transformation … along with experience in SQL and data connectors. • Data Analysis and Visualization: Skills in visualizing data (Qlik Sense), selecting appropriate chart types, and creating user-friendly, interactive dashboards. Understanding of how data structures and logic impact visualization performance and usability. • Problem-Solving and Critical Thinking: Ability to analyze and troubleshoot data issues, application errors, and performance concerns. • Communication: Effective at More ❯