1 to 25 of 2,175 Permanent SQL Jobs in the South East

end development experience Strong proficiency in C# and .NET Core/ASP.NET Core Experience with Azure cloud services Solid understanding of RESTful API design principles and implementation Experience with SQL databases (Azure SQL, SQL Server) and T-SQL Knowledge of software design patterns and SOLID principles Experience with version control (Git) and agile development methodologies Strong problem-solving skills and More ❯

skills and the ability to logically analyse complex requirements, processes, and systems to deliver solutions. Solid understanding of data modelling, ETL/ELT processes, and data warehousing. Proficiency in SQL and Python (especially PySpark), as well as other relevant programming languages. Passion for using data to drive key business decisions. Skills we’d love to see/Amazing Extras: Experience More ❯

skills and the ability to logically analyse complex requirements, processes, and systems to deliver solutions. Solid understanding of data modelling, ETL/ELT processes, and data warehousing. Proficiency in SQL and Python (especially PySpark), as well as other relevant programming languages. Passion for using data to drive key business decisions. Skills we’d love to see/Amazing Extras: Experience More ❯

skills and the ability to logically analyse complex requirements, processes, and systems to deliver solutions. Solid understanding of data modelling, ETL/ELT processes, and data warehousing. Proficiency in SQL and Python (especially PySpark), as well as other relevant programming languages. Passion for using data to drive key business decisions. Skills we’d love to see/Amazing Extras: Experience More ❯

similar). Proven experience with: Power BI (advanced DAX, data modelling, RLS, deployment pipelines) PySpark and Databricks or Microsoft Fabric Git and CI/CD pipelines (Azure DevOps preferred) SQL for querying and data transformation Experience with Python for data extraction and API integration. Excellent numerical and analytical skills with strong attention to detail. Confident communicator with experience presenting to More ❯

data pipelines and architectures. Expert-level knowledge in Apache Spark, PySpark, and Databricks—including experience with Delta Lake, Unity Catalog, MLflow, and Databricks Workflows. Deep proficiency in Python and SQL, with proven experience building modular, testable, reusable pipeline components. Strong experience with AWS cloud services including S3, Lambda, Glue, API Gateway, IAM, EC2, EKS, and integration of AWS-native components More ❯

data pipelines and architectures. Expert-level knowledge in Apache Spark, PySpark, and Databricks—including experience with Delta Lake, Unity Catalog, MLflow, and Databricks Workflows. Deep proficiency in Python and SQL, with proven experience building modular, testable, reusable pipeline components. Strong experience with AWS cloud services including S3, Lambda, Glue, API Gateway, IAM, EC2, EKS, and integration of AWS-native components More ❯

data pipelines and architectures. Expert-level knowledge in Apache Spark, PySpark, and Databricks—including experience with Delta Lake, Unity Catalog, MLflow, and Databricks Workflows. Deep proficiency in Python and SQL, with proven experience building modular, testable, reusable pipeline components. Strong experience with AWS cloud services including S3, Lambda, Glue, API Gateway, IAM, EC2, EKS, and integration of AWS-native components More ❯

years' experience in data engineering, including technical or team leadership. Expertise in AWS (preferred) or Azure , and experience managing data pipelines in the cloud. Strong skills in Python and SQL , with a solid grasp of data warehousing concepts. Experience with DBT , Redshift , or Postgres , and familiarity with BI tools (Power BI preferred). Proven understanding of CI/CD principles More ❯

years’ experience in data engineering, including technical or team leadership. Expertise in AWS (preferred) or Azure , and experience managing data pipelines in the cloud. Strong skills in Python and SQL , with a solid grasp of data warehousing concepts. Experience with DBT , Redshift , or Postgres , and familiarity with BI tools (Power BI preferred). Proven understanding of CI/CD principles More ❯

years’ experience in data engineering, including technical or team leadership. Expertise in AWS (preferred) or Azure , and experience managing data pipelines in the cloud. Strong skills in Python and SQL , with a solid grasp of data warehousing concepts. Experience with DBT , Redshift , or Postgres , and familiarity with BI tools (Power BI preferred). Proven understanding of CI/CD principles More ❯

engineers and analysts. Candidate Profile Proven experience leading data engineering or BI teams in complex organisations. Expertise in cloud data platforms and data processing services. Strong skills in Python, SQL, and Power BI (DAX, Power Query, data modelling). Knowledge of ETL/ELT pipelines, data warehousing, and data mesh architectures. Familiarity with AI/ML applications, metadata management, and More ❯

engineers and analysts. Candidate Profile Proven experience leading data engineering or BI teams in complex organisations. Expertise in cloud data platforms and data processing services. Strong skills in Python, SQL, and Power BI (DAX, Power Query, data modelling). Knowledge of ETL/ELT pipelines, data warehousing, and data mesh architectures. Familiarity with AI/ML applications, metadata management, and More ❯

engineers and analysts. Candidate Profile Proven experience leading data engineering or BI teams in complex organisations. Expertise in cloud data platforms and data processing services. Strong skills in Python, SQL, and Power BI (DAX, Power Query, data modelling). Knowledge of ETL/ELT pipelines, data warehousing, and data mesh architectures. Familiarity with AI/ML applications, metadata management, and More ❯

and CI/CD pipelines. Key Skills: Proven experience in Python programming for data analysis (pandas, numpy, Jupyter). Strong object-oriented programming and design pattern knowledge. Experience with SQL and relational databases. Familiarity with data visualisation tools (e.g., Plotly Dash, Power BI). Understanding of software development best practices (Git, CI/CD, testing). Exposure to cloud computing More ❯

and CI/CD pipelines. Key Skills: Proven experience in Python programming for data analysis (pandas, numpy, Jupyter). Strong object-oriented programming and design pattern knowledge. Experience with SQL and relational databases. Familiarity with data visualisation tools (e.g., Plotly Dash, Power BI). Understanding of software development best practices (Git, CI/CD, testing). Exposure to cloud computing More ❯

for-purpose data products Supporting the productionisation of ML pipelines Working in an Agile/DevOps environment to continuously evolve our data platform What we're looking for: Strong SQL and Python skills Solid experience with Azure data services and DevOps (CI/CD) Knowledge of data modelling (Star Schema) and Power BI A logical, analytical mindset with great attention More ❯

for-purpose data products Supporting the productionisation of ML pipelines Working in an Agile/DevOps environment to continuously evolve our data platform What we're looking for: Strong SQL and Python skills Solid experience with Azure data services and DevOps (CI/CD) Knowledge of data modelling (Star Schema) and Power BI A logical, analytical mindset with great attention More ❯

role Proven experience in data analysis, engineering, or a related field, ideally within the built environment or engineering sector. Strong proficiency in data tools and languages such as Python, SQL, Power BI, or similar platforms for data manipulation and visualization. Familiarity with cloud-based data environments (e.g. Azure, AWS, or Google Cloud) and version control systems like Git. Experience working More ❯

warehouses in cloud environments. Advanced knowledge of AWS or Azure data services (Databricks, Glue, Redshift, S3 Data Lakes, Spark, or equivalent). Strong programming and data manipulation skills (Python, SQL). Solid background in financial reporting, trading data, or analytics within financial markets. Proven ability to manage complex, end-to-end data projects and collaborate cross-functionally across business units. More ❯

warehouses in cloud environments. Advanced knowledge of AWS or Azure data services (Databricks, Glue, Redshift, S3 Data Lakes, Spark, or equivalent). Strong programming and data manipulation skills (Python, SQL). Solid background in financial reporting, trading data, or analytics within financial markets. Proven ability to manage complex, end-to-end data projects and collaborate cross-functionally across business units. More ❯

requirements. It would be advantageous if you have some knowledge of MS Azure Modern Data Warehouse Architecture and Agile methodology, in addition to possessing knowledge and experience of writing SQL queries. What is equally important is that you are highly numerate and analytical, with an ability to deliver high standards of work and pay meticulous attention to detail. Your problem More ❯

alongside commercial teams. • 5+ years of experience with analytical tools such as Power BI and Azure Data Studio. • Strong data analysis skills with advanced Excel expertise. • Proven experience with SQL and Python. • Ability to translate large datasets into actionable insights. • Strong communication skills, with the ability to present data-driven findings to senior stakeholders. • Proficiency in creating impactful presentations in More ❯

alongside commercial teams. • 5+ years of experience with analytical tools such as Power BI and Azure Data Studio. • Strong data analysis skills with advanced Excel expertise. • Proven experience with SQL and Python. • Ability to translate large datasets into actionable insights. • Strong communication skills, with the ability to present data-driven findings to senior stakeholders. • Proficiency in creating impactful presentations in More ❯

alongside commercial teams. • 5+ years of experience with analytical tools such as Power BI and Azure Data Studio. • Strong data analysis skills with advanced Excel expertise. • Proven experience with SQL and Python. • Ability to translate large datasets into actionable insights. • Strong communication skills, with the ability to present data-driven findings to senior stakeholders. • Proficiency in creating impactful presentations in More ❯