Azure Senior Data Lead with Azure Data Factory (ADF), Azure Databricks, SQL, Oracle PL/SQL, Python, Power BI. The Senior Technical Lead will be responsible for leading the technical aspects of projects related to Azure Data Factory (ADF), Azure Databricks, SQL, Oracle PL/SQL, Power BI and Python. The role involves designing, developing, and maintaining data pipelines and … ETL processes while ensuring high performance and scalability of data solutions. (Lead the end-to-end technical implementation of data projects using azure data factory, azure databricks, sql, oracle pl/sql, Power BI and python. Optimize data workflows, troubleshoot issues, and ensure data quality and integrity. Implement best practices for data security, governance, and compliance. Provide technical guidance, mentoring … BI reports and datasets, identifying bottlenecks and implementing solutions proactively. Proficiency in azure data factory (adf) and azure databricks for data integration and processing. Strong skills in writing complex sql queries for data manipulation and analysis. Experience with oracle pl/sql for database development and management. Proficient in python programming language for automation and scripting tasks. Solid understanding of More ❯
enterprise grade data solutions Strong hands-on experience with Snowflake (or comparable cloud data warehouses like BigQuery, RedShift, Synapse) including data modelling, performance tuning and cost management Familiarity with SQL best practices, ELT patterns, and modern data transformation frameworks such as dbt Competence in at least one programming language (Python preferred) for automation. Experience with cloud platforms (AWS, Azure, or More ❯
enterprise grade data solutions Strong hands-on experience with Snowflake (or comparable cloud data warehouses like BigQuery, RedShift, Synapse) including data modelling, performance tuning and cost management Familiarity with SQL best practices, ELT patterns, and modern data transformation frameworks such as dbt Competence in at least one programming language (Python preferred) for automation. Experience with cloud platforms (AWS, Azure, or More ❯
enterprise grade data solutions Strong hands-on experience with Snowflake (or comparable cloud data warehouses like BigQuery, RedShift, Synapse) including data modelling, performance tuning and cost management Familiarity with SQL best practices, ELT patterns, and modern data transformation frameworks such as dbt Competence in at least one programming language (Python preferred) for automation. Experience with cloud platforms (AWS, Azure, or More ❯
london (city of london), south east england, united kingdom
Kubrick Group
enterprise grade data solutions Strong hands-on experience with Snowflake (or comparable cloud data warehouses like BigQuery, RedShift, Synapse) including data modelling, performance tuning and cost management Familiarity with SQL best practices, ELT patterns, and modern data transformation frameworks such as dbt Competence in at least one programming language (Python preferred) for automation. Experience with cloud platforms (AWS, Azure, or More ❯
enterprise grade data solutions Strong hands-on experience with Snowflake (or comparable cloud data warehouses like BigQuery, RedShift, Synapse) including data modelling, performance tuning and cost management Familiarity with SQL best practices, ELT patterns, and modern data transformation frameworks such as dbt Competence in at least one programming language (Python preferred) for automation. Experience with cloud platforms (AWS, Azure, or More ❯
pipelines using Fabric Pipelines, Azure Data Factory, Notebooks and SSIS Produce enterprise-grade Power BI dashboards and paginated reports Translate business requirements into scalable technical BI solutions Write advanced SQL for Fabric Lakehouse and Warehouse environments Implement CI/CD processes using Azure DevOps for secure, reliable deployment Technical Skills: Strong expertise in: Power BI and paginated reporting SQL and … data transformation logic Azure Fabric, Azure Data Factory, Synapse, Data Lakes and Lakehouse/Warehouse technologies ETL/ELT orchestration for structured and unstructured data Proficiency in: PySpark, T-SQL, Notebooks and advanced data manipulation Performance monitoring and orchestration of Fabric solutions Power BI semantic models and Fabric data modelling DevOps deployment using ARM/Bicep templates End-to-end More ❯
pipelines using Fabric Pipelines, Azure Data Factory, Notebooks and SSIS Produce enterprise-grade Power BI dashboards and paginated reports Translate business requirements into scalable technical BI solutions Write advanced SQL for Fabric Lakehouse and Warehouse environments Implement CI/CD processes using Azure DevOps for secure, reliable deployment Technical Skills: Strong expertise in: Power BI and paginated reporting SQL and … data transformation logic Azure Fabric, Azure Data Factory, Synapse, Data Lakes and Lakehouse/Warehouse technologies ETL/ELT orchestration for structured and unstructured data Proficiency in: PySpark, T-SQL, Notebooks and advanced data manipulation Performance monitoring and orchestration of Fabric solutions Power BI semantic models and Fabric data modelling DevOps deployment using ARM/Bicep templates End-to-end More ❯
pipelines using Fabric Pipelines, Azure Data Factory, Notebooks and SSIS Produce enterprise-grade Power BI dashboards and paginated reports Translate business requirements into scalable technical BI solutions Write advanced SQL for Fabric Lakehouse and Warehouse environments Implement CI/CD processes using Azure DevOps for secure, reliable deployment Technical Skills: Strong expertise in: Power BI and paginated reporting SQL and … data transformation logic Azure Fabric, Azure Data Factory, Synapse, Data Lakes and Lakehouse/Warehouse technologies ETL/ELT orchestration for structured and unstructured data Proficiency in: PySpark, T-SQL, Notebooks and advanced data manipulation Performance monitoring and orchestration of Fabric solutions Power BI semantic models and Fabric data modelling DevOps deployment using ARM/Bicep templates End-to-end More ❯
london (city of london), south east england, united kingdom
Sanderson
pipelines using Fabric Pipelines, Azure Data Factory, Notebooks and SSIS Produce enterprise-grade Power BI dashboards and paginated reports Translate business requirements into scalable technical BI solutions Write advanced SQL for Fabric Lakehouse and Warehouse environments Implement CI/CD processes using Azure DevOps for secure, reliable deployment Technical Skills: Strong expertise in: Power BI and paginated reporting SQL and … data transformation logic Azure Fabric, Azure Data Factory, Synapse, Data Lakes and Lakehouse/Warehouse technologies ETL/ELT orchestration for structured and unstructured data Proficiency in: PySpark, T-SQL, Notebooks and advanced data manipulation Performance monitoring and orchestration of Fabric solutions Power BI semantic models and Fabric data modelling DevOps deployment using ARM/Bicep templates End-to-end More ❯
pipelines using Fabric Pipelines, Azure Data Factory, Notebooks and SSIS Produce enterprise-grade Power BI dashboards and paginated reports Translate business requirements into scalable technical BI solutions Write advanced SQL for Fabric Lakehouse and Warehouse environments Implement CI/CD processes using Azure DevOps for secure, reliable deployment Technical Skills: Strong expertise in: Power BI and paginated reporting SQL and … data transformation logic Azure Fabric, Azure Data Factory, Synapse, Data Lakes and Lakehouse/Warehouse technologies ETL/ELT orchestration for structured and unstructured data Proficiency in: PySpark, T-SQL, Notebooks and advanced data manipulation Performance monitoring and orchestration of Fabric solutions Power BI semantic models and Fabric data modelling DevOps deployment using ARM/Bicep templates End-to-end More ❯
transform raw data into trusted, actionable insights that power critical business decisions. Key Responsibilities Design and implement scalable data pipelines and ETL/ELT workflows in Databricks using PySpark, SQL, and Delta Lake. Architect and manage the Medallion (Bronze, Silver, Gold) data architecture for optimal data organization, transformation, and consumption. Develop and maintain data models, schemas, and data quality frameworks … Proven track record implementing Medallion Architecture (Bronze, Silver, Gold layers) in production environments. Strong knowledge of data modeling, ETL/ELT design, and data lakehouse concepts. Proficiency in Python, SQL, and Spark optimization techniques. Experience working with cloud data platforms such as Azure Data Lake, AWS S3, or GCP BigQuery. Strong understanding of data quality frameworks, testing, and CI/ More ❯
transform raw data into trusted, actionable insights that power critical business decisions. Key Responsibilities Design and implement scalable data pipelines and ETL/ELT workflows in Databricks using PySpark, SQL, and Delta Lake. Architect and manage the Medallion (Bronze, Silver, Gold) data architecture for optimal data organization, transformation, and consumption. Develop and maintain data models, schemas, and data quality frameworks … Proven track record implementing Medallion Architecture (Bronze, Silver, Gold layers) in production environments. Strong knowledge of data modeling, ETL/ELT design, and data lakehouse concepts. Proficiency in Python, SQL, and Spark optimization techniques. Experience working with cloud data platforms such as Azure Data Lake, AWS S3, or GCP BigQuery. Strong understanding of data quality frameworks, testing, and CI/ More ❯
transform raw data into trusted, actionable insights that power critical business decisions. Key Responsibilities Design and implement scalable data pipelines and ETL/ELT workflows in Databricks using PySpark, SQL, and Delta Lake. Architect and manage the Medallion (Bronze, Silver, Gold) data architecture for optimal data organization, transformation, and consumption. Develop and maintain data models, schemas, and data quality frameworks … Proven track record implementing Medallion Architecture (Bronze, Silver, Gold layers) in production environments. Strong knowledge of data modeling, ETL/ELT design, and data lakehouse concepts. Proficiency in Python, SQL, and Spark optimization techniques. Experience working with cloud data platforms such as Azure Data Lake, AWS S3, or GCP BigQuery. Strong understanding of data quality frameworks, testing, and CI/ More ❯
app features such as payments, authentication, notifications, and secure data handling. Ensure high standards of security, scalability, and performance in all back-end solutions. Implement and maintain database solutions (SQL and non-relational), including ORM frameworks (Entity Framework, Dapper, ADO.NET). Conduct unit and integration testing using frameworks like xUnit. Support App Store submission and release management by ensuring back … OOP, design principles, and architectural patterns for scalable applications. Experience with CI/CD pipelines (Azure DevOps preferred). Experience working in agile/scrum environments. Strong knowledge of SQL and non-relational databases. Familiarity with RESTful APIs, JSON, OAuth2. Experience with test automation tools and accessibility standards (WCAG 2.1 beneficial). Bachelors degree in Software Engineering, Web Development, or More ❯
transform raw data into trusted, actionable insights that power critical business decisions. Key Responsibilities Design and implement scalable data pipelines and ETL/ELT workflows in Databricks using PySpark, SQL, and Delta Lake. Architect and manage the Medallion (Bronze, Silver, Gold) data architecture for optimal data organization, transformation, and consumption. Develop and maintain data models, schemas, and data quality frameworks … Proven track record implementing Medallion Architecture (Bronze, Silver, Gold layers) in production environments. Strong knowledge of data modeling, ETL/ELT design, and data lakehouse concepts. Proficiency in Python, SQL, and Spark optimization techniques. Experience working with cloud data platforms such as Azure Data Lake, AWS S3, or GCP BigQuery. Strong understanding of data quality frameworks, testing, and CI/ More ❯
transform raw data into trusted, actionable insights that power critical business decisions. Key Responsibilities Design and implement scalable data pipelines and ETL/ELT workflows in Databricks using PySpark, SQL, and Delta Lake. Architect and manage the Medallion (Bronze, Silver, Gold) data architecture for optimal data organization, transformation, and consumption. Develop and maintain data models, schemas, and data quality frameworks … Proven track record implementing Medallion Architecture (Bronze, Silver, Gold layers) in production environments. Strong knowledge of data modeling, ETL/ELT design, and data lakehouse concepts. Proficiency in Python, SQL, and Spark optimization techniques. Experience working with cloud data platforms such as Azure Data Lake, AWS S3, or GCP BigQuery. Strong understanding of data quality frameworks, testing, and CI/ More ❯
app features such as payments, authentication, notifications, and secure data handling. Ensure high standards of security, scalability, and performance in all back-end solutions. Implement and maintain database solutions (SQL and non-relational), including ORM frameworks (Entity Framework, Dapper, ADO.NET). Conduct unit and integration testing using frameworks like xUnit. Support App Store submission and release management by ensuring back … OOP, design principles, and architectural patterns for scalable applications. Experience with CI/CD pipelines (Azure DevOps preferred). Experience working in agile/scrum environments. Strong knowledge of SQL and non-relational databases. Familiarity with RESTful APIs, JSON, OAuth2. Experience with test automation tools and accessibility standards (WCAG 2.1 beneficial). Bachelor's degree in Software Engineering, Web Development More ❯
app features such as payments, authentication, notifications, and secure data handling. Ensure high standards of security, scalability, and performance in all back-end solutions. Implement and maintain database solutions (SQL and non-relational), including ORM frameworks (Entity Framework, Dapper, ADO.NET). Conduct unit and integration testing using frameworks like xUnit. Support App Store submission and release management by ensuring back … OOP, design principles, and architectural patterns for scalable applications. Experience with CI/CD pipelines (Azure DevOps preferred). Experience working in agile/scrum environments. Strong knowledge of SQL and non-relational databases. Familiarity with RESTful APIs, JSON, OAuth2. Experience with test automation tools and accessibility standards (WCAG 2.1 beneficial). Bachelor’s degree in Software Engineering, Web Development More ❯
transform raw data into trusted, actionable insights that power critical business decisions. Key Responsibilities Design and implement scalable data pipelines and ETL/ELT workflows in Databricks using PySpark, SQL, and Delta Lake. Architect and manage the Medallion (Bronze, Silver, Gold) data architecture for optimal data organization, transformation, and consumption. Develop and maintain data models, schemas, and data quality frameworks … Proven track record implementing Medallion Architecture (Bronze, Silver, Gold layers) in production environments. Strong knowledge of data modeling, ETL/ELT design, and data lakehouse concepts. Proficiency in Python, SQL, and Spark optimization techniques. Experience working with cloud data platforms such as Azure Data Lake, AWS S3, or GCP BigQuery. Strong understanding of data quality frameworks, testing, and CI/ More ❯
london (city of london), south east england, united kingdom
TRIA
transform raw data into trusted, actionable insights that power critical business decisions. Key Responsibilities Design and implement scalable data pipelines and ETL/ELT workflows in Databricks using PySpark, SQL, and Delta Lake. Architect and manage the Medallion (Bronze, Silver, Gold) data architecture for optimal data organization, transformation, and consumption. Develop and maintain data models, schemas, and data quality frameworks … Proven track record implementing Medallion Architecture (Bronze, Silver, Gold layers) in production environments. Strong knowledge of data modeling, ETL/ELT design, and data lakehouse concepts. Proficiency in Python, SQL, and Spark optimization techniques. Experience working with cloud data platforms such as Azure Data Lake, AWS S3, or GCP BigQuery. Strong understanding of data quality frameworks, testing, and CI/ More ❯
a more engineering-focused position, someone who enjoys understanding the business context just as much as building the data solutions behind it. You'll work extensively with Python , Snowflake , SQL , and dbt to design, build, and maintain scalable, high-quality data pipelines and models that support decision-making across the business. This is a hands-on, collaborative role, suited to … teams, not a "heads-down coder" type. Top 4 Core Skills Python - workflow automation, data processing, and ETL/ELT development. Snowflake - scalable data architecture, performance optimisation, and governance. SQL - expert-level query writing and optimisation for analytics and transformations. dbt (Data Build Tool) - modular data modelling, testing, documentation, and version control. Key Responsibilities Design, build, and maintain dbt models … and SQL transformations to support analytical and operational use cases. Develop and maintain Python workflows for data ingestion, transformation, and automation. Engineer scalable, performant Snowflake pipelines and data models aligned with business and product needs. Partner closely with analysts, product managers, and engineers to translate complex business requirements into data-driven solutions. Write production-grade SQL and ensure data quality More ❯
a more engineering-focused position, someone who enjoys understanding the business context just as much as building the data solutions behind it. You'll work extensively with Python , Snowflake , SQL , and dbt to design, build, and maintain scalable, high-quality data pipelines and models that support decision-making across the business. This is a hands-on, collaborative role, suited to … teams, not a "heads-down coder" type. Top 4 Core Skills Python - workflow automation, data processing, and ETL/ELT development. Snowflake - scalable data architecture, performance optimisation, and governance. SQL - expert-level query writing and optimisation for analytics and transformations. dbt (Data Build Tool) - modular data modelling, testing, documentation, and version control. Key Responsibilities Design, build, and maintain dbt models … and SQL transformations to support analytical and operational use cases. Develop and maintain Python workflows for data ingestion, transformation, and automation. Engineer scalable, performant Snowflake pipelines and data models aligned with business and product needs. Partner closely with analysts, product managers, and engineers to translate complex business requirements into data-driven solutions. Write production-grade SQL and ensure data quality More ❯
a more engineering-focused position, someone who enjoys understanding the business context just as much as building the data solutions behind it. You’ll work extensively with Python , Snowflake , SQL , and dbt to design, build, and maintain scalable, high-quality data pipelines and models that support decision-making across the business. This is a hands-on, collaborative role, suited to … teams, not a “heads-down coder” type. Top 4 Core Skills Python — workflow automation, data processing, and ETL/ELT development. Snowflake — scalable data architecture, performance optimisation, and governance. SQL — expert-level query writing and optimisation for analytics and transformations. dbt (Data Build Tool) — modular data modelling, testing, documentation, and version control. Key Responsibilities Design, build, and maintain dbt models … and SQL transformations to support analytical and operational use cases. Develop and maintain Python workflows for data ingestion, transformation, and automation. Engineer scalable, performant Snowflake pipelines and data models aligned with business and product needs. Partner closely with analysts, product managers, and engineers to translate complex business requirements into data-driven solutions. Write production-grade SQL and ensure data quality More ❯
london (city of london), south east england, united kingdom
83data
a more engineering-focused position, someone who enjoys understanding the business context just as much as building the data solutions behind it. You’ll work extensively with Python , Snowflake , SQL , and dbt to design, build, and maintain scalable, high-quality data pipelines and models that support decision-making across the business. This is a hands-on, collaborative role, suited to … teams, not a “heads-down coder” type. Top 4 Core Skills Python — workflow automation, data processing, and ETL/ELT development. Snowflake — scalable data architecture, performance optimisation, and governance. SQL — expert-level query writing and optimisation for analytics and transformations. dbt (Data Build Tool) — modular data modelling, testing, documentation, and version control. Key Responsibilities Design, build, and maintain dbt models … and SQL transformations to support analytical and operational use cases. Develop and maintain Python workflows for data ingestion, transformation, and automation. Engineer scalable, performant Snowflake pipelines and data models aligned with business and product needs. Partner closely with analysts, product managers, and engineers to translate complex business requirements into data-driven solutions. Write production-grade SQL and ensure data quality More ❯
