226 to 250 of 1,112 Remote ETL Jobs

Fabric Analytics Engineer Associate Responsibilities: On a daily basis your varied role will include, but will not be limited to: Design, build, and optimize high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks or Microsoft Fabric. Implement scalable solutions to ingest, store, and transform vast datasets, ensuring data availability and quality across the organization. Write More ❯

Fabric Analytics Engineer Associate Responsibilities: On a daily basis your varied role will include, but will not be limited to: Design, build, and optimize high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks or Microsoft Fabric. Implement scalable solutions to ingest, store, and transform vast datasets, ensuring data availability and quality across the organization. Write More ❯

Fabric Analytics Engineer Associate Responsibilities: On a daily basis your varied role will include, but will not be limited to: Design, build, and optimize high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks or Microsoft Fabric. Implement scalable solutions to ingest, store, and transform vast datasets, ensuring data availability and quality across the organization. Write More ❯

Fabric Analytics Engineer Associate Responsibilities: On a daily basis your varied role will include, but will not be limited to: Design, build, and optimize high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks or Microsoft Fabric. Implement scalable solutions to ingest, store, and transform vast datasets, ensuring data availability and quality across the organization. Write More ❯

Fabric Analytics Engineer Associate Responsibilities: On a daily basis your varied role will include, but will not be limited to: Design, build, and optimize high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks or Microsoft Fabric. Implement scalable solutions to ingest, store, and transform vast datasets, ensuring data availability and quality across the organization. Write More ❯

Fabric Analytics Engineer Associate Responsibilities: On a daily basis your varied role will include, but will not be limited to: Design, build, and optimize high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks or Microsoft Fabric. Implement scalable solutions to ingest, store, and transform vast datasets, ensuring data availability and quality across the organization. Write More ❯

Fabric Analytics Engineer Associate Responsibilities: On a daily basis your varied role will include, but will not be limited to: Design, build, and optimize high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks or Microsoft Fabric. Implement scalable solutions to ingest, store, and transform vast datasets, ensuring data availability and quality across the organization. Write More ❯

Fabric Analytics Engineer Associate Responsibilities: On a daily basis your varied role will include, but will not be limited to: Design, build, and optimize high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks or Microsoft Fabric. Implement scalable solutions to ingest, store, and transform vast datasets, ensuring data availability and quality across the organization. Write More ❯

Fabric Analytics Engineer Associate Responsibilities: On a daily basis your varied role will include, but will not be limited to: Design, build, and optimize high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks or Microsoft Fabric. Implement scalable solutions to ingest, store, and transform vast datasets, ensuring data availability and quality across the organization. Write More ❯

as a BI Analyst or similar role, preferably within the gaming industry. Strong proficiency in Looker (preferred) or similar business intelligence tools. Experience with event tracking, data pipelines, and ETL processes is a plus. Proficiency in SQL and experience working with large datasets. Excellent analytical and problem-solving skills, with the ability to extract insights from complex data sets. Strong More ❯

the core responsibilities, you will design and maintain robust data warehouse and data lake architectures using platforms like Google BigQuery, AWS, and Azure. You will also develop and manage ETL processes to ensure data quality and consistency. You will optimise data storage and retrieval and collaborate with Business Analysts, marketing, and analytics teams to facilitate data. You will have strong … proficiency in SQL, Python, and ETL tools and experience in cloud platforms such as GCP, AWS, and Azure. You will have at least five years of data engineering experience, particularly in marketing and advertising data, and hands-on experience integrating data from various sources, including APIs and transactional databases. Consortia is a specialist recruitment agency with consultants focused on global More ❯

into this function already from Software and Hardware Engineers to PMs, Support, Operations staff, Managers and more. What You’ll Be Doing: Design and develop Data Solutions, Pipelines and ETL Processes using tools such as Azure Data Factory/Azure Data Lake/Azure SQL/SSIS and other relevant offerings Build and tailor Data Models and Data Warehouses Work … tooling as possible including Azure Data Factory, Azure Data Lake, Azure SQL, Azure Synapse Analytics, SQL Server/SSIS/T-SQL Strong skills across Data Modelling, Warehousing and ETL processes Skills in Business Intelligence tooling such as Power BI/similar Scripting with Python/PowerShell/similar Why This Role? This business is known for evolving with the More ❯

Key Responsibilities 🔹 Build & Develop – Design and maintain a robust Databricks Data Platform, ensuring performance, scalability, and availability. 🔹 Data Pipelines – Connect APIs, databases, and data streams to the platform, implementing ETL/ELT processes. 🔹 Data Integrity – Embed quality measures, monitoring, and alerting mechanisms. 🔹 CI/CD & Automation – Create deployment pipelines and automate workflows. 🔹 Collaboration – Work with stakeholders across Global IT, Data … hands-on experience with Databricks , and Microsoft Azure data tools (must-have: Azure Data Factory, Azure Synapse, or Azure SQL). ✅ Dimensional modelling expertise for analytics use cases. ✅ Strong ETL/ELT development skills. ✅ Python scripting experience for data automation. ✅ Experience with CI/CD methodologies for data platforms. ✅ Knowledge of MS SQL Server, SSIS, Visual Studio, and SSDT projects More ❯

Key Responsibilities 🔹 Build & Develop – Design and maintain a robust Databricks Data Platform, ensuring performance, scalability, and availability. 🔹 Data Pipelines – Connect APIs, databases, and data streams to the platform, implementing ETL/ELT processes. 🔹 Data Integrity – Embed quality measures, monitoring, and alerting mechanisms. 🔹 CI/CD & Automation – Create deployment pipelines and automate workflows. 🔹 Collaboration – Work with stakeholders across Global IT, Data … hands-on experience with Databricks , and Microsoft Azure data tools (must-have: Azure Data Factory, Azure Synapse, or Azure SQL). ✅ Dimensional modelling expertise for analytics use cases. ✅ Strong ETL/ELT development skills. ✅ Python scripting experience for data automation. ✅ Experience with CI/CD methodologies for data platforms. ✅ Knowledge of MS SQL Server, SSIS, Visual Studio, and SSDT projects More ❯

into this function already from Software and Hardware Engineers to PMs, Support, Operations staff, Managers and more. What You’ll Be Doing: Design and develop Data Solutions, Pipelines and ETL Processes using tools such as Azure Data Factory/Azure Data Lake/Azure SQL/SSIS and other relevant offerings Build and tailor Data Models and Data Warehouses Work … tooling as possible including Azure Data Factory, Azure Data Lake, Azure SQL, Azure Synapse Analytics, SQL Server/SSIS/T-SQL Strong skills across Data Modelling, Warehousing and ETL processes Skills in Business Intelligence tooling such as Power BI/similar Scripting with Python/PowerShell/similar Why This Role? This business is known for evolving with the More ❯

into this function already from Software and Hardware Engineers to PMs, Support, Operations staff, Managers and more. What You’ll Be Doing: Design and develop Data Solutions, Pipelines and ETL Processes using tools such as Azure Data Factory/Azure Data Lake/Azure SQL/SSIS and other relevant offerings Build and tailor Data Models and Data Warehouses Work … tooling as possible including Azure Data Factory, Azure Data Lake, Azure SQL, Azure Synapse Analytics, SQL Server/SSIS/T-SQL Strong skills across Data Modelling, Warehousing and ETL processes Skills in Business Intelligence tooling such as Power BI/similar Scripting with Python/PowerShell/similar Why This Role? This business is known for evolving with the More ❯

into this function already from Software and Hardware Engineers to PMs, Support, Operations staff, Managers and more. What You’ll Be Doing: Design and develop Data Solutions, Pipelines and ETL Processes using tools such as Azure Data Factory/Azure Data Lake/Azure SQL/SSIS and other relevant offerings Build and tailor Data Models and Data Warehouses Work … tooling as possible including Azure Data Factory, Azure Data Lake, Azure SQL, Azure Synapse Analytics, SQL Server/SSIS/T-SQL Strong skills across Data Modelling, Warehousing and ETL processes Skills in Business Intelligence tooling such as Power BI/similar Scripting with Python/PowerShell/similar Why This Role? This business is known for evolving with the More ❯

the successful candidate will: Design, develop, and maintain MS SQL Server databases and our Data Warehouse, ensuring optimal performance and reliability. Maintain SQL Server Integration Services (SSIS) packages for ETL processes. Work with Azure Data Factory (ADF) for cloud-based data processing and transformation. Implement SQL replication strategies and maintain data consistency across distributed systems. Develop and maintain Power BI … SQL, with a proven ability to write and optimize complex queries. Database schema design and performance tuning. Power BI and SSRS reporting tools for business intelligence solutions. SSIS for ETL processing and automation. Azure Data Factory (ADF) and cloud-based data solutions. SQL replication strategies and data synchronization techniques. Azure SQL and managed instances for cloud database management. Strong problem More ❯

that are customer-centric and business-aligned. What You’ll Do: Design and build scalable, reliable, and high-performance data systems. Define and drive best practices for data modeling, ETL/ELT pipelines, and real-time streaming architectures. Set technical direction and architectural standards across the data platform. Work closely with cross-functional partners to meet evolving business and analytical … tools and frameworks such as Spark , dbt , Airflow , Kafka , Databricks , and cloud-native services (AWS, GCP, or Azure). Deep understanding of data modeling , distributed systems , streaming architectures , and ETL/ELT pipelines . Proficiency in SQL and at least one programming language such as Python , Scala , or Java . Demonstrated experience owning and delivering complex systems from architecture through More ❯

clean data from multiple sources Building conceptual and physical data models to support reporting and analysis Championing data governance and implementing controls to ensure quality and compliance Developing automated ETL solutions using Microsoft Azure tools Leading best practice in engineering standards, code quality, and peer review Supporting teams through training sessions and knowledge sharing Main Skills Needed: Proven experience in More ❯

models, database design development, data mining, and segmentation techniques. Strong knowledge of and experience with reporting packages (Business Objects, Tableau, Power BI), databases (SQL, etc.), programming (XML, JavaScript, or ETL frameworks), and data visualization (Power BI, Tableau, etc.). Demonstrated analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and More ❯

models, database design development, data mining, and segmentation techniques. Strong knowledge of and experience with reporting packages (Business Objects, Tableau, Power BI), databases (SQL, etc.), programming (XML, JavaScript, or ETL frameworks), and data visualization (Power BI, Tableau, etc.). Demonstrated analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and More ❯

Lambda). Proficient in Python, Apache Spark, and SQL. Experience in data warehouse design and data migration projects. Cloud data platform development and deployment. Expertise across data warehouse and ETL/ELT development in AWS preferred Experience is building a Data Lake as well as building CI/CD data pipelines Excellent communication and problem-solving skills. What's on More ❯

and will enable providing insights to inform strategic decisions both at the Board/Executive level and at the business unit level. Key Responsibilities Design, develop, and maintain scalable ETL pipelines using technologies like dbt, Airbyte, Cube, DuckDB, Redshift, and Superset Work closely with stakeholders across the company to gather data requirements and setup dashboards Promote a data driven culture … to ensure performance and scalability Must Haves 8+ years working in data engineering with large sets of data. Ex: millions of students, transactions. Proven experience in building and maintaining ETL pipelines and data infrastructure Strong experience working with dbt core/cloud Business savvy and capable of interfacing with finance, revenue and ops leaders to build our business intelligence Expertise More ❯

services (BigQuery, Cloud Storage, Dataflow) Proficiency in Power BI for creating reports and dashboards Strong Python skills, including experience with data libraries like Pandas and NumPy Solid background in ETL processes, data pipeline design, and data warehousing Detail-oriented with excellent problem-solving and communication skills Nice to Have: Knowledge of data governance, quality, and security best practices Experience working More ❯