26 to 50 of 489 Remote ETL Jobs

data mining, statistical computing, and machine learning methods (e.g., LLMs, neural networks, NLP, clustering, and predictive analytics). • Experience working with large data sets, ETL processes, and data visualization tools such as Power BI, Tableau, or Qlik. • Expertise in DAX, Power Query (M), SQL, and scripting in Python or R More ❯

workflows. Advanced knowledge of SharePoint development and customization, including integration with Power Platform tools. Proficient in SQL for querying and manipulating data. Experience in ETL processes, data integration, and data transformation. Strong analytical and problem-solving skills with the ability to work independently or as part of a team. Strong More ❯

delivery, including sprint planning, task tracking, and collaboration using Jira (or similar agile tool), ensuring timely and high-quality deliverables. Experience with data pipelines, ETL processes, and working with both structured and unstructured data. Familiarity with integrating machine learning models into production environments. Knowledge of automation frameworks and tools (such More ❯

Engineer to play a crucial role in modernising our data infrastructure. You will be responsible for designing, building, and maintaining robust data pipelines that extract data from our transactional systems and seamlessly integrate it into our Snowflake data warehouse. Your work will empower data-driven decision-making across the company … understanding of our existing legacy systems and their data structures to ensure seamless data extraction. Documentation: Maintain comprehensive documentation of data pipelines, data models, and ETL processes. Collaboration: Work closely with business intelligence developers, software engineers, and business stakeholders to understand data requirements and deliver impactful solutions. Person Specification: We … an up-to-date portfolio of work. Side projects are advantageous. Proven experience as a Data Engineer with a strong focus on data integration and ETL processes. Extensive experience working with relational databases (e.g., SQL Server, MySQL) and data warehousing environments (e.g., Snowflake). Proficiency in SQL and at least More ❯

Essential MS SQL Server - development Design and implementation of complex data models used for Business Intelligence and Advanced Analytics Design and implementation of complex ETL/ELT processes used for Business Intelligence and Advanced Analytics Experience in a supervisory role In-depth knowledge of NHS data and issues Visualization and More ❯

and Data Lakes (e.g., Azure Data Lake) Reporting and analytics tools (e.g., Power BI) Analytics, Data Mining, and Data Science Data integration, migration, and ETL processes Master and reference data management Data governance and quality management Data modeling and lineage tracking Data resiliency and recovery Digital platforms (e.g., portals, user More ❯

of: Azure Data Factory Azure Synapse Analytics Power BI Microsoft Fabric (or an understanding of BI platform modernisation) Solid grasp of data warehousing and ETL/ELT principles Strong communication and stakeholder engagement skills Experience with SQL is essential, as the current structure is 90% SQL-based Basic familiarity with More ❯

analytics models and web applications for internal stakeholders. Drive segmentation modelling projects, improving customer targeting and personalization strategies. Develop and refine data pipelines and ETL processes, enabling efficient data integration into Azure Synapse & Fabric. Play a key role in cloud migration projects, supporting the organization's transition to Azure-based More ❯

reporting. Requirements Proven experience with PowerBI and data visualisation. Ideally 5 years plus. Strong knowledge of data warehousing principles. Strong SQL expertise, understanding of ETL, DAX, Power Query. Ability to maintain and enhance semantic models. Knowledge of dimensional data modeling (Kimball), Data warehousing concepts, OLAP. Excellent analytical and problem-solving More ❯

party systems. Develop authentication, authorization, and access control mechanisms using JWT, OAuth, SSO, and SAML. Work with our data team to: Upscale the current ETL to ensure high-availability, durable, and fault-tolerant data pipelines, reliable data processing, handling large volumes of data while maintaining performance. Design, develop, and manage More ❯

reporting. Requirements: Proven experience with PowerBI and data visualisation. Ideally 5 years plus. Strong knowledge of data warehousing principles. Strong SQL expertise, understanding of ETL, DAX, Power Query. Ability to maintain and enhance semantic models. Knowledge of dimensional data modeling (Kimball), Data warehousing concepts, OLAP. Excellent analytical and problem-solving More ❯

experience in data engineering and/or platform development, ideally with experience working with complex or large datasets such as the census. Experience with ETL tools and processes Exhibit proficiency in programming and database query languages, in particular Python and SQL. Possess a good understanding of data engineering principles, data More ❯

experience in data engineering and/or platform development, ideally with experience working with complex or large datasets such as the census. Experience with ETL tools and processes. Exhibit proficiency in programming and database query languages, in particular Python and SQL. Possess a good understanding of data engineering principles, data More ❯

Must be able and willing to work shift schedules, including on-call. It's a PLUS if You Also Have: Experience working with BI, ETL or Data Warehouse tools such as Qlik, Redshift, Snowflake, Databricks, etc. Experience automating database deployments or maintenance using Ansible, Terraform, or Kubernetes. Certifications in OCI More ❯

an ideal role for someone who has, or is able to; Held a lead role where you have successfully delivered data focussed solutions using ETL and BI tools in part of an Agile development team. Been in a team management/leader or mentoring position responsible for the development of More ❯

large datasets efficiently. Collaborate with cross-functional teams to understand business requirements and deliver data-driven insights. Design and build scalable data pipelines and ETL processes. Perform data exploration, preprocessing, and feature engineering. Conduct statistical analysis and machine learning model development. Communicate findings and insights to stakeholders through data visualization More ❯

such as Power BI, Tableau, QlikView etc. Familiarity with technical data structures, data pipelines and data science techniques, understanding complex systems. Extensive knowledge of ETL tools essential for building data pipelines effectively. Strong experience with cloud platforms like AWS, Azure, or Google Cloud The ability to build collaborative relationships with More ❯

such as Power BI, Tableau, QlikView etc. Familiarity with technical data structures, data pipelines and data science techniques, understanding complex systems. Extensive knowledge of ETL tools essential for building data pipelines effectively. Strong experience with cloud platforms like AWS, Azure, or Google Cloud The ability to build collaborative relationships with More ❯

This role is an opportunity to lead the build of bespoke data systems for our clients. Responsibilities: Design and implement scalable data pipelines and ETL processes using Azure and Databricks technologies including Delta Live Tables. Lead technical discussions with clients and stakeholders to gather requirements and propose solutions. Help clients More ❯

to 10+ years' extensive experience in SQL Server data warehouse or data provisioning architectures. Advanced SQL query writing & SQL procedure experience. Experience developing ETL solutions in SQL Server including SSIS & T-SQL. Experience in Microsoft BI technologies (SQL Server Management Studio, SSIS, SSAS, SSRS). Experience of data/system More ❯

Azure Data Factory and Snowflake. Experience with Looker Studio for visualization. Proficiency with RudderStack or similar customer data platforms. Data Integration Skills: Skilled in ETL/ELT processes, with direct experience integrating platforms such as HubSpot and Shopify. Programming Skills: Proficient in SQL, Python, or similar languages. Client-Facing Experience More ❯

processes such as Finance, Order to Cash, Procure to Pay or Supply Chain. Technical understanding and expertise of SAP SLT/SDI, enterprise-class ETL and middleware tools. Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state orlocal law: The More ❯

management process using industry best practices to help DSS maintain legal compliance. Basic Qualifications 7+ years experience working on mission critical data pipelines and ETL systems, hands-on experience with big data technology, systems and tools such as AWS, Hadoop, Hive, and Snowflake Detailed problem-solving approach, coupled with a More ❯

to strengthen anti-terrorism capabilities. Responsibilities Develop, maintain and troubleshoot data ingestion pipelines; Analyze and organize raw data and develop code/tools to Extract, Transform, and Load (ETL) data into the appropriate structures and data systems Perform data processing, cleansing, mining and analysis utilizing data sources having relevant context … large data sets Skills in applying pattern recognition techniques to large structured, semi-structured, and unstructured data sets to automate and optimize data wrangling (extract, transform, clean, evaluate, normalize/standardize, and organize) from disparate sources Experience with developing ETL capabilities and data ingestion pipelines in a data engineering or More ❯

will continue to strengthen anti-terrorism capabilities. Responsibilities Analyze and organize raw data, build data systems and pipelines, and develop code/tools to Extract, Transform, and Load (ETL) data into the appropriate structures for storage Combine raw information from different sources and explore ways to enhance data quality, performance … procedures is desirable. Skills in applying pattern recognition techniques to large structured, semi-structured, and unstructured data sets to automate and optimize data wrangling (extract, transform, clean, evaluate, normalize/standardize, and organize) from disparate sources. Previous experience as a data engineer or in a similar role Technical expertise with More ❯