1 to 25 of 434 ETL Jobs in the South East

Exp: 10 + yrs Job Summary The Senior Test Specialist/Architect in Cloud Automation Testing focuses on automating testing processes in ETL (Extract, Transform, Load) and Data Warehousing environments to ensure the quality and reliability of data pipelines. The role involves designing, developing, and implementing automation scripts for testing data transformations, data loading processes, and data quality verification. Key … Responsibilities 1. Develop and execute automated test scripts for etl processes and data pipelines. 2. Collaborate with cross functional teams to design and implement automated testing frameworks. 3. Create test plans and test cases for etl and data warehouse testing. 4. Identify and troubleshoot issues in data transformations and data loading processes. 5. Conduct performance testing and ensure scalability of … data pipelines. 6. Implement best practices for data quality assurance in etl environments. Skill Requirements 1. Proficiency in cloud-based automation testing tools like selenium, appium, or similar. 2. Experience in automation testing of etl (extract, transform, load) processes and data warehousing. 3. Strong understanding of sql for data querying and validation. 4. Knowledge of big data technologies such as More ❯

Exp: 10 + yrs Job Summary The Senior Test Specialist/Architect in Cloud Automation Testing focuses on automating testing processes in ETL (Extract, Transform, Load) and Data Warehousing environments to ensure the quality and reliability of data pipelines. The role involves designing, developing, and implementing automation scripts for testing data transformations, data loading processes, and data quality verification. Key … Responsibilities 1. Develop and execute automated test scripts for etl processes and data pipelines. 2. Collaborate with cross functional teams to design and implement automated testing frameworks. 3. Create test plans and test cases for etl and data warehouse testing. 4. Identify and troubleshoot issues in data transformations and data loading processes. 5. Conduct performance testing and ensure scalability of … data pipelines. 6. Implement best practices for data quality assurance in etl environments. Skill Requirements 1. Proficiency in cloud-based automation testing tools like selenium, appium, or similar. 2. Experience in automation testing of etl (extract, transform, load) processes and data warehousing. 3. Strong understanding of sql for data querying and validation. 4. Knowledge of big data technologies such as More ❯

Exp: 10 + yrs Job Summary The Senior Test Specialist/Architect in Cloud Automation Testing focuses on automating testing processes in ETL (Extract, Transform, Load) and Data Warehousing environments to ensure the quality and reliability of data pipelines. The role involves designing, developing, and implementing automation scripts for testing data transformations, data loading processes, and data quality verification. Key … Responsibilities 1. Develop and execute automated test scripts for etl processes and data pipelines. 2. Collaborate with cross functional teams to design and implement automated testing frameworks. 3. Create test plans and test cases for etl and data warehouse testing. 4. Identify and troubleshoot issues in data transformations and data loading processes. 5. Conduct performance testing and ensure scalability of … data pipelines. 6. Implement best practices for data quality assurance in etl environments. Skill Requirements 1. Proficiency in cloud-based automation testing tools like selenium, appium, or similar. 2. Experience in automation testing of etl (extract, transform, load) processes and data warehousing. 3. Strong understanding of sql for data querying and validation. 4. Knowledge of big data technologies such as More ❯

best practices. Participate in Agile delivery using Azure DevOps for backlog management, sprint planning, and CI/CD. Technical Skills Azure Data Factory: Expert in building, automating, and optimising ETL pipelines. Azure Synapse Analytics: Strong experience with dedicated SQL pools, data warehousing concepts, and performance tuning. Power BI: Advanced experience managing enterprise models, datasets, and governance processes. SQL: Expert-level More ❯

best practices. Participate in Agile delivery using Azure DevOps for backlog management, sprint planning, and CI/CD. Technical Skills Azure Data Factory: Expert in building, automating, and optimising ETL pipelines. Azure Synapse Analytics: Strong experience with dedicated SQL pools, data warehousing concepts, and performance tuning. Power BI: Advanced experience managing enterprise models, datasets, and governance processes. SQL: Expert-level More ❯

best practices. Participate in Agile delivery using Azure DevOps for backlog management, sprint planning, and CI/CD. Technical Skills Azure Data Factory: Expert in building, automating, and optimising ETL pipelines. Azure Synapse Analytics: Strong experience with dedicated SQL pools, data warehousing concepts, and performance tuning. Power BI: Advanced experience managing enterprise models, datasets, and governance processes. SQL: Expert-level More ❯

Azure Databricks (or Microsoft Fabric). Strong problem-solving 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 More ❯

Azure Databricks (or Microsoft Fabric). Strong problem-solving 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 More ❯

Azure Databricks (or Microsoft Fabric). Strong problem-solving 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 More ❯

in large-scale survey data. Integrating diverse data sources (APIs, databases, external datasets) into a unified analytics ecosystem . Automating data ingestion and transformation workflows using modern ELT/ETL best practices. Implementing monitoring and alerting systems to ensure high data quality and reliability. Mentoring a small team of data engineers, driving excellence and continuous learning. Partnering with Data Science More ❯

in large-scale survey data. Integrating diverse data sources (APIs, databases, external datasets) into a unified analytics ecosystem . Automating data ingestion and transformation workflows using modern ELT/ETL best practices. Implementing monitoring and alerting systems to ensure high data quality and reliability. Mentoring a small team of data engineers, driving excellence and continuous learning. Partnering with Data Science More ❯

in large-scale survey data. Integrating diverse data sources (APIs, databases, external datasets) into a unified analytics ecosystem . Automating data ingestion and transformation workflows using modern ELT/ETL best practices. Implementing monitoring and alerting systems to ensure high data quality and reliability. Mentoring a small team of data engineers, driving excellence and continuous learning. Partnering with Data Science More ❯

environments and enjoys working on varied, impactful projects. Key Responsibilities Design, build, and maintain scalable data pipelines using Azure Data Factory, Databricks, and SQL-based solutions. Develop and optimise ETL/ELT workflows to support analytics, reporting, and machine learning use cases. Work closely with clients to understand data requirements and translate them into robust technical solutions. Implement best practices More ❯

environments and enjoys working on varied, impactful projects. Key Responsibilities Design, build, and maintain scalable data pipelines using Azure Data Factory, Databricks, and SQL-based solutions. Develop and optimise ETL/ELT workflows to support analytics, reporting, and machine learning use cases. Work closely with clients to understand data requirements and translate them into robust technical solutions. Implement best practices More ❯

environments and enjoys working on varied, impactful projects. Key Responsibilities Design, build, and maintain scalable data pipelines using Azure Data Factory, Databricks, and SQL-based solutions. Develop and optimise ETL/ELT workflows to support analytics, reporting, and machine learning use cases. Work closely with clients to understand data requirements and translate them into robust technical solutions. Implement best practices More ❯

etc.).Strong proficiency in SQL, DAX, and Powe - r Query (M).Experience with Azure Data Services (e.g., Azure Synapse, Azure Data Lake, - Azure SQL).Solid understanding of data modelling, ETL processes, and BI a - rchitecture.Familiarity with CI/CD pipelines, DevOps, and version control - (e.g., Git).Excellent communication and stakeholder manage - ment skills.Ability to work independently and lead technic al More ❯

This role has a direct opportunity to grow into a Head of Data and AI position. Key Responsibilities Data Engineering & Architecture Lead the development and maintenance of data pipelines, ETL processes, and warehouse architecture (GCP, Azure). Ensure high-quality, scalable, and secure data infrastructure that supports campaign reporting and advanced analytics. Design and support the delivery of AI and More ❯

This role has a direct opportunity to grow into a Head of Data and AI position. Key Responsibilities Data Engineering & Architecture Lead the development and maintenance of data pipelines, ETL processes, and warehouse architecture (GCP, Azure). Ensure high-quality, scalable, and secure data infrastructure that supports campaign reporting and advanced analytics. Design and support the delivery of AI and More ❯

This role has a direct opportunity to grow into a Head of Data and AI position. Key Responsibilities Data Engineering & Architecture Lead the development and maintenance of data pipelines, ETL processes, and warehouse architecture (GCP, Azure). Ensure high-quality, scalable, and secure data infrastructure that supports campaign reporting and advanced analytics. Design and support the delivery of AI and More ❯

collaborative environment. As a Data Analytics Engineer, you’ll be at the heart of our data platform: designing and delivering scalable solutions using Kafka for data ingestion, Databricks for ETL , modelling data for Power BI, and working closely with stakeholders to create products that drive smarter decisions. You’ll play a key role in shaping our Lakehouse architecture. What you More ❯

collaborative environment. As a Data Analytics Engineer, you’ll be at the heart of our data platform: designing and delivering scalable solutions using Kafka for data ingestion, Databricks for ETL , modelling data for Power BI, and working closely with stakeholders to create products that drive smarter decisions. You’ll play a key role in shaping our Lakehouse architecture. What you More ❯

documentation Skills To Create Thrills Strong SQL skills, able to write complex and performant queries with ease. Solid experience in Python development for data workflows Experience building and maintaining ETL pipelines, ideally with Apache Airflow or a similar orchestration tool Hands-on experience with Google Cloud Platform (BigQuery, GCS, etc.) or another major cloud provider Good understanding of data modelling More ❯

experience designing and implementing modern data architectures in cloud environments. Strong understanding of data modelling (conceptual, logical, and physical), including relational, dimensional, and NoSQL approaches. Expertise in data integration, ETL/ELT, and data pipeline design. Hands-on experience with data lakehouse, warehouse, and streaming data architectures. Working knowledge of SQL, Python, and relevant data engineering frameworks (e.g. Databricks, Synapse More ❯

experience designing and implementing modern data architectures in cloud environments. Strong understanding of data modelling (conceptual, logical, and physical), including relational, dimensional, and NoSQL approaches. Expertise in data integration, ETL/ELT, and data pipeline design. Hands-on experience with data lakehouse, warehouse, and streaming data architectures. Working knowledge of SQL, Python, and relevant data engineering frameworks (e.g. Databricks, Synapse More ❯

experience designing and implementing modern data architectures in cloud environments. Strong understanding of data modelling (conceptual, logical, and physical), including relational, dimensional, and NoSQL approaches. Expertise in data integration, ETL/ELT, and data pipeline design. Hands-on experience with data lakehouse, warehouse, and streaming data architectures. Working knowledge of SQL, Python, and relevant data engineering frameworks (e.g. Databricks, Synapse More ❯