101 to 125 of 1,095 Remote ETL Jobs

Key Responsibilities Lead development of data pipelines and solutions using Databricks, Python, and SQL Design and maintain data models supporting analytics and business intelligence Build and optimise ELT/ETL processes on AWS or Azure Collaborate closely with analysts, architects, and stakeholders to deliver high-quality data products Champion best practices in testing, CI/CD, version control, and infrastructure More ❯

data pipelines (batch and streaming) using Azure Databricks, Spark, and Delta Lake. Implement the Medallion Architecture and ensure consistency across raw, enriched, and curated data layers. Build and optimise ETL/ELT processes using Azure Data Factory and PySpark. Enforce data governance through Azure Purview and Unity Catalog. Apply DevOps and CI/CD practices using Git and Azure DevOps. More ❯

a crucial role in transforming our organisation into a data-driven enterprise. Your primary responsibilities will include data ingestion from diverse source systems, development of data pipelines through both ETL tools and programming languages such as Python. You’ll ensure that this data is structured, optimised, and accessible for our Power BI developers and business analysts, empowering them to turn … data into actionable insights. Key Responsibilities Develop and optimise ETL processes to ensure data is readily available and useful. Create dynamic scripts for the ingestion of data with clear documentation. Collaborate with Power BI developers and business analysts to ensure data meets their needs. Foster a data-centric culture by making data accessible and actionable for decision-making. Contribute to More ❯

in Azure Data Pipeline development is key for this position. Key Skills & Responsibilities: Build and manage pipelines using Azure Data Factory, Databricks, CI/CD, and Terraform. Optimisation of ETL processes for performance and cost-efficiency. Design scalable data models aligned with business needs. Azure data solutions for efficient data storage and retrieval. Ensure compliance with data protection laws (e.g. More ❯

following product/solution development lifecycles using frameworks/methodologies such as Agile, SAFe, DevOps and use of associated tooling (e.g., version control, task tracking). Demonstrable experience writing ETL scripts and code to make sure the ETL processes perform optimally. Experience in other programming languages for data manipulation (e.g., Python, Scala). Extensive experience of data engineering and the More ❯

secure, and high-performance data warehouse solutions for BI and analytics. Define and drive the long-term architecture and data strategy in alignment with business goals. Own orchestration of ETL/ELT workflows using Apache Airflow , including scheduling, monitoring, and alerting. Collaborate with cross-functional teams (Product, Engineering, Data Science, Compliance) to define data requirements and build reliable data flows. More ❯

secure, and high-performance data warehouse solutions for BI and analytics. Define and drive the long-term architecture and data strategy in alignment with business goals. Own orchestration of ETL/ELT workflows using Apache Airflow , including scheduling, monitoring, and alerting. Collaborate with cross-functional teams (Product, Engineering, Data Science, Compliance) to define data requirements and build reliable data flows. More ❯

secure, and high-performance data warehouse solutions for BI and analytics. Define and drive the long-term architecture and data strategy in alignment with business goals. Own orchestration of ETL/ELT workflows using Apache Airflow , including scheduling, monitoring, and alerting. Collaborate with cross-functional teams (Product, Engineering, Data Science, Compliance) to define data requirements and build reliable data flows. More ❯

following product/solution development lifecycles using frameworks/methodologies such as Agile, SAFe, DevOps and use of associated tooling (e.g., version control, task tracking). Demonstrable experience writing ETL scripts and code to make sure the ETL processes perform optimally. Experience in other programming languages for data manipulation (e.g., Python, Scala). Extensive experience of data engineering and the More ❯

and components such as VPNs, Private Endpoints, Virtual networks, Firewall, multi-region network, Aware of best-practices in data modeling, data warehousing, data lake and lake house concepts and ETL-implementation processes CI/CD concepts You are recognized for Understanding the needs of stakeholders and customers to deliver successful and impactful solutions Strong collaboration and communication skills, with an More ❯

secure, and high-performance data warehouse solutions for BI and analytics. Define and drive the long-term architecture and data strategy in alignment with business goals. Own orchestration of ETL/ELT workflows using Apache Airflow , including scheduling, monitoring, and alerting. Collaborate with cross-functional teams (Product, Engineering, Data Science, Compliance) to define data requirements and build reliable data flows. More ❯

analytics to enhance decision-making capabilities. Provide technical expertise on Oracle FDI architecture, including semantic models, data pipelines, and performance optimisation. Oversee data integration and transformation processes, ensuring seamless ETL from Oracle Cloud ERP, HCM, SCM, and third-party applications. Collaborate with business users to identify key performance indicators (KPIs) and develop self-service analytics using FDI tools. Optimise data … focus on data modelling and analytics. Extensive knowledge of Oracle Analytics offerings, including Fusion Data Intelligence, OAC, OBIEE, Machine Learning, and ADW. Strong expertise in data warehousing concepts, including ETL, data pipelines, and semantic modelling within Oracle FDI. Proven ability to build advanced analytics, KPIs, and data visualisations within FDI to drive business insights. Experience in Oracle Cloud ERP, HCM More ❯

analytics to enhance decision-making capabilities. Provide technical expertise on Oracle FDI architecture, including semantic models, data pipelines, and performance optimisation. Oversee data integration and transformation processes, ensuring seamless ETL from Oracle Cloud ERP, HCM, SCM, and third-party applications. Collaborate with business users to identify key performance indicators (KPIs) and develop self-service analytics using FDI tools. Optimise data … focus on data modelling and analytics. Extensive knowledge of Oracle Analytics offerings, including Fusion Data Intelligence, OAC, OBIEE, Machine Learning, and ADW. Strong expertise in data warehousing concepts, including ETL, data pipelines, and semantic modelling within Oracle FDI. Proven ability to build advanced analytics, KPIs, and data visualisations within FDI to drive business insights. Experience in Oracle Cloud ERP, HCM More ❯

secure, and high-performance data warehouse solutions for BI and analytics. Define and drive the long-term architecture and data strategy in alignment with business goals. Own orchestration of ETL/ELT workflows using Apache Airflow , including scheduling, monitoring, and alerting. Collaborate with cross-functional teams (Product, Engineering, Data Science, Compliance) to define data requirements and build reliable data flows. More ❯

Kimball methodology. Certification: DP-600 – Fabric Analytics Engineer Associate. Responsibilities: Your daily tasks will include, but are not limited to: Designing, building, and optimizing high-performance data pipelines and ETL workflows using Azure Synapse, Azure Databricks, or Microsoft Fabric. Implementing scalable solutions for data ingestion, storage, and transformation, ensuring data quality and availability. Writing clean, efficient, reusable Python code for More ❯

of the Kimball methodology. Certification: DP-600 – Fabric Analytics Engineer Associate. Responsibilities Daily responsibilities include, but are not limited to: Designing, building, and optimizing high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks, or Microsoft Fabric. Implementing scalable solutions for data ingestion, storage, and transformation, ensuring data quality and availability. Writing clean, efficient, and reusable More ❯

maintain scalable data pipelines and transformation processes using Microsoft Fabric components including Data Factory, OneLake, Dataflows and Notebooks. Develop and manage data models that support and analytics solutions. Develop ETL metadata driven processes and integrate data from diverse sources (on-cloud and on-premise) into centralised and governed environments using Fabrics capabilities. Use metadata-driven pipelines to manage dynamic ingestion More ❯

Product Owner in Agile environments. Ideally experience managing Finance and data products or platforms, ideally data warehouses (e.g. Snowflake, BigQuery), or data lakes. Familiarity with data modelling, data pipelines, ETL/ELT processes, and APIs. Strong understanding of data quality frameworks, data contracts, and lineage. Proficient in using analytics and BI tools (e.g., Tableau, Power BI, Looker) to drive product More ❯

Product Owner in Agile environments. Ideally experience managing Finance and data products or platforms, ideally data warehouses (e.g. Snowflake, BigQuery), or data lakes. Familiarity with data modelling, data pipelines, ETL/ELT processes, and APIs. Strong understanding of data quality frameworks, data contracts, and lineage. Proficient in using analytics and BI tools (e.g., Tableau, Power BI, Looker) to drive product More ❯

Product Owner in Agile environments. Ideally experience managing Finance and data products or platforms, ideally data warehouses (e.g. Snowflake, BigQuery), or data lakes. Familiarity with data modelling, data pipelines, ETL/ELT processes, and APIs. Strong understanding of data quality frameworks, data contracts, and lineage. Proficient in using analytics and BI tools (e.g., Tableau, Power BI, Looker) to drive product More ❯

Owner in Agile environments. Experience managing data products or platforms, ideally customer data platforms (CDPs), data warehouses (e.g. Snowflake, BigQuery), or data lakes. Familiarity with data modelling, data pipelines, ETL/ELT processes, and APIs. Knowledge of GDPR, data ethics, and governance practices. Strong understanding of data quality frameworks, data contracts, and lineage. Proficient in using analytics and BI tools More ❯

Owner in Agile environments. Experience managing data products or platforms, ideally customer data platforms (CDPs), data warehouses (e.g. Snowflake, BigQuery), or data lakes. Familiarity with data modelling, data pipelines, ETL/ELT processes, and APIs. Knowledge of GDPR, data ethics, and governance practices. Strong understanding of data quality frameworks, data contracts, and lineage. Proficient in using analytics and BI tools More ❯

Experience with Tableau, Alteryx, Tableau Prep. Hands-on experience with SAP SuccessFactors, SAP Analytics Cloud (SAC). Knowledge of data visualisation best practices and dashboard design principles. Experience with ETL processes and data transformation workflows. Understanding of HR data structures, key metrics, and reporting requirements. Experience supporting HR system migrations or implementations. Experience supporting technology implementations or large-scale transformation More ❯

be a Senior Data Engineer or Backend Software Engineer, with hands-on experience building data pipelines and comfortable doing so autonomously. You are a Subject matter expert on building ETL processes and related technologies on cloud platforms. You’ll ideally have worked across multiple projects end-to-end and have experience partnering with data scientists or other senior stakeholders, both More ❯

needs. Extensive use of and fully conversant in SQL. Experience working with programming languages like C#, Python, Java, Spark. Create and maintain ETL/ELT processes to extract, transform, and load data from various sources into the data platforms. Design, develop, and deploy SSIS packages and ADF pipelines. Manage and troubleshoot SSIS packages and ADF pipelines, ensuring data integrity and … error handling is robust. Document data warehouse architecture, ETL processes, and database configurations. Job Description Evelyn Partners Data Services Team At Evelyn Partners, we are expanding our Data Services team, investing in a large-scale modernisation programme to drive innovation and insights. We’re building a new team to enhance data modelling, reporting, AI initiatives, and cloud data platforms like … needs. Extensive use of and fully conversant in SQL. Experience working with programming languages like C#, Python, Java, Spark. Create and maintain ETL/ELT processes to extract, transform, and load data from various sources into the data platforms. Design, develop, and deploy SSIS packages and ADF pipelines. Manage and troubleshoot SSIS packages and ADF pipelines, ensuring data integrity and More ❯