1 to 25 of 560 Data Warehouse Jobs

LLC is seeking a Full Stack BI Specialist to join us. WMATA is seeking two (2) BI Specialists to facilitate the re-platforming of our current Data Warehouse to Oracle FDIP, ensuring data integrity and optimal performance. This resource will also assist as a Data Conversion Specialist, they will be responsible for extracting … transforming, and loading (ETL) data from PeopleSoft into our Data Warehouse system, and rebuilding data warehouse structures and reports in the FDIP system. They will ensure that data and reports are accurately migrated and optimized for accurate reporting and analytics, collaborating with various teams to achieve project goals. Duties and … strategies for data• To analyze and gather the requirements of BI data from users/customers• Need a create ETL/ELT for Peoplesoft EPM Datawarehouse• Maintaining the ERP data warehouse and Ascential/Datastage environments• To design and develop data models and data mart tables• To design and More ❯

total customer satisfaction has remained the cornerstone of our business. Our business model focuses on integrity, loyalty, and trust. Position Overview The MCICOM G9 Installations Analytics Support Junior Data Engineer will support the G9's Installation Analytics, Future Data Environment, and Common Output Levels of Service (COLS) program and to further develop an ecosystem in which … data is collected, stored, and processed for strategic analysis supportive of the Installations portfolio. This will include, but is not limited to, leveraging technologies to periodically update, manage, and utilize data effectively to support strategic decisions. Essential Job Function Authoritative and non-authoritative data sources: Gather, assemble, analyze, and update authoritative and non-authoritative … data modeling, and SQL Desired Qualifications IBM Data Engineering Professional Certificate Google Cloud Certification: Cloud Data Engineer Professional Certificate IBM Data Warehouse Engineer Professional Certificate Applicants selected may be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information.STI-TEC is an equal opportunity More ❯

total customer satisfaction has remained the cornerstone of our business. Our business model focuses on integrity, loyalty, and trust. Position Overview The MCICOM G9 Installations Analytics Support Senior Data Engineer will support the G9's Installation Analytics, Future Data Environment, and Common Output Levels of Service (COLS) program and to further develop an ecosystem in which … data is collected, stored, and processed for strategic analysis supportive of the Installations portfolio. This will include, but is not limited to, leveraging technologies to periodically update, manage, and utilize data effectively to support strategic decisions. Essential Job Function Authoritative and non-authoritative data sources: Gather, assemble, analyze, and update authoritative and non-authoritative … modeling, and SQL Desired Qualifications PhD Desired IBM Data Engineering Professional Certificate Google Cloud Certification: Cloud Data Engineer Professional Certificate IBM Data Warehouse Engineer Professional Certificate Applicants selected may be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information.STI-TEC is an equal opportunity More ❯

total customer satisfaction has remained the cornerstone of our business. Our business model focuses on integrity, loyalty, and trust. Position Overview The MCICOM G9 Installations Analytics Support Senior Data Engineer will support the G9's Installation Analytics, Future Data Environment, and Common Output Levels of Service (COLS) program and to further develop an ecosystem in which … data is collected, stored, and processed for strategic analysis supportive of the Installations portfolio. This will include, but is not limited to, leveraging technologies to periodically update, manage, and utilize data effectively to support strategic decisions. Essential Job Function Authoritative and non-authoritative data sources: Gather, assemble, analyze, and update authoritative and non-authoritative … modeling, and SQL Desired Qualifications PhD Desired IBM Data Engineering Professional Certificate Google Cloud Certification: Cloud Data Engineer Professional Certificate IBM Data Warehouse Engineer Professional Certificate Applicants selected may be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information.STI-TEC is an equal opportunity More ❯

for all work completed be it in the form of formal documentation or well-commented code. Develop, monitor and support the data warehouse. Investigate data warehouse discrepancies and act upon incorrect data integration into the data warehouse, supporting the Business Intelligence Team Leader in amending processes and ETL routines where … of tasks within agreed timescales. o Promote the use of business intelligence across the organization through presentations, demos, and/or informal advocacy. o Utilize the data warehouse for standard queries, find and support the resolution of issues with data entering the data warehouse where there appear to be discrepancies with what … Intelligence Team Leader in making appropriate contributions to the BI Strategy and other departmental documents. o Develop, monitor and support the data warehouse. Investigate data warehouse discrepancies and act upon incorrect data integration into the data warehouse, supporting the Business Intelligence Team Leader in amending processes and ETL routines where More ❯

and make strategic business decisions. We focus on professional development and continuous improvement while enjoying a casual work environment and Great Place to Work culture! The Director of Data Lake and Integration will provide technical and architectural leadership within the data engineering organization. In this role, you'll champion building out an enterprise data lake across the businesses, which is critical to the success of modernization and growth at Credit Acceptance. This includes all the first-party and third-party data, data modeling about business-critical data across the ecosystem, as well as data integration both within the company and with external partners. As … data integration, data acquisition, data ingestion, data transformation, data aggregation, data governance, business intelligence, data warehouse, data lake, NoSQL, object storage, streaming, etc. Extensive experience with enterprise data modeling and integration with demonstrated success Strong understanding of distributed systems, cloud computing More ❯

to Skip to Content Link Select how often (in days) to receive an alert: Select how often (in days) to receive an alert: FS Technology Consulting - AI and Data - Data Architect - Manager - Dublin Location: Dublin 2 Other locations: Primary Location Only Date: Sep 16, 2025 Requisition ID: At EY, we're all in to shape your … of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. FS Technology Consulting - AI and Data - Data Architect - Manager - Dublin General Information Location: Dublin Available for VISA Sponsorship: Yes Business Area: Data & Analytics Contract Type: Full Time - Permanent EY is the … data leadership role, e.g. data team lead, data project lead, data workstream lead etc. Solid experience in Enterprise Data Warehouse integration and reporting developing modern data platform solutions, data governance, architecture frameworks and processes. Technical leadership and the ability to work with a wider group More ❯

total customer satisfaction has remained the cornerstone of our business. Our business model focuses on integrity, loyalty, and trust. Position Overview The MCICOM G9 Installations Analytics Support Senior Data Scientist will support the G9's Installation Analytics, Future Data Environment, and Common Output Levels of Service (COLS) program and to further develop an ecosystem in which … data is collected, stored, and processed for strategic analysis supportive of the Installations portfolio. This will include, but is not limited to, leveraging technologies to periodically update, manage, and utilize data effectively to support strategic decisions. Essential Job Function Authoritative and non-authoritative data sources: Gather, assemble, analyze, and update authoritative and non-authoritative … data, draw conclusions, develop, and utilize appropriate data collection techniques and data normalization to produce valid and reliable findings and analysis, and provide recommended solutions to improve data quality. Data Storage and Infrastructure: Develop relational databases; data warehouses that include central repositories for structured data to More ❯

Delivering our strategy sustainably is fundamental to achieving our ambition to be a net zero company by 2050 or sooner! About the Role : We are seeking a Senior Data Engineer to join our growing data engineering team. In this role, you will be responsible for designing, building, and optimizing scalable data pipelines and infrastructure … that power analytics, machine learning, and business intelligence across the organization. You will work closely with data scientists, analysts, and platform engineers to ensure robust and efficient data delivery. This is an excellent opportunity for someone who is passionate about data, cloud technologies, and scalable systems, and wants to have a direct impact on … data-driven decision-making. Key Responsibilities: Design, build, and maintain scalable and reliable ETL/ELT data pipelines using Python, PySpark, and SQL. Develop and manage data workflows and orchestration using tools such as Airflow or similar. Optimize data processes for performance, scalability, and cost-efficiency, particularly in cloud environments. Collaborate with More ❯

Delivering our strategy sustainably is fundamental to achieving our ambition to be a net zero company by 2050 or sooner! About the Role : We are seeking a Senior Data Engineer to join our growing data engineering team. In this role, you will be responsible for designing, building, and optimizing scalable data pipelines and infrastructure … that power analytics, machine learning, and business intelligence across the organization. You will work closely with data scientists, analysts, and platform engineers to ensure robust and efficient data delivery. This is an excellent opportunity for someone who is passionate about data, cloud technologies, and scalable systems, and wants to have a direct impact on … data-driven decision-making. Key Responsibilities: Design, build, and maintain scalable and reliable ETL/ELT data pipelines using Python, PySpark, and SQL. Develop and manage data workflows and orchestration using tools such as Airflow or similar. Optimize data processes for performance, scalability, and cost-efficiency, particularly in cloud environments. Collaborate with More ❯

Delivering our strategy sustainably is fundamental to achieving our ambition to be a net zero company by 2050 or sooner! About the Role : We are seeking a Senior Data Engineer to join our growing data engineering team. In this role, you will be responsible for designing, building, and optimizing scalable data pipelines and infrastructure … that power analytics, machine learning, and business intelligence across the organization. You will work closely with data scientists, analysts, and platform engineers to ensure robust and efficient data delivery. This is an excellent opportunity for someone who is passionate about data, cloud technologies, and scalable systems, and wants to have a direct impact on … data-driven decision-making. Key Responsibilities: Design, build, and maintain scalable and reliable ETL/ELT data pipelines using Python, PySpark, and SQL. Develop and manage data workflows and orchestration using tools such as Airflow or similar. Optimize data processes for performance, scalability, and cost-efficiency, particularly in cloud environments. Collaborate with More ❯

success. As an employee owned company, we are looking for individuals that are passionate about finding innovative solutions, and excited about emerging technologies and capabilities. Introduction As a Data Architect, you will use cutting-edge cloud and data technologies to help global brands and federal agencies solve challenging problems through innovative technology solutions. Work on exciting … Machine Learning services. Develop full Databricks adoption plan including architecture, governance, data protection, leakage prevention, RBAC access enablement, integrations, interoperability, etc. Design enterprise Databricks data warehouse Collaborate with data engineers, analysts, and business stakeholders to define data models and integration strategies and optimize performance of large-scale data pipelines … architecture using Databricks and cloud technologies Extensive experience with Azure Data services (Azure Data Lake, Azure Data Factory, Azure SQL Data Warehouse, Data Lake Analytics, HDInsight, Machine Learning, and Stream Analytics). Expert traditional and modern data architecture and processing concepts, including relational databases, Data More ❯

Job summary Are you a data engineer with a passion for public service? Then maybe you're looking for us! We are seeking an experienced and skilled Advanced Data Engineer to be part of a growing team that delivers on our mission of protecting and improving the health and wellbeing of the people of Wales. You … ll be involved in improving our data practices, cataloguing our data, automating our data processing, creating pipelines and developing our overall data maturity. You are an experienced data engineer with leadership, communication and collaboration skills who knows how to deliver in a fast-paced, often ambiguous environment. Working with us … engineering profession community and forge strong links with other DdaT professional communities Develop and maintain data platform components (e.g. data catalogue, data lake, warehouse, ETL frameworks) Follow best practice in data security, compliance, and the ethical use of data in accordance with standards and requirements such as GDPR and More ❯

that solves real-world problems for large blue-chip companies and governments worldwide. We're pioneers of meaningful AI : our solutions go far beyond chatbots. We are using data and AI to solve the world's biggest issues in telecommunications, sustainable water management, energy, healthcare, climate change, smart cities, and other areas that have a real impact on … re underpinned by over 300 engineers and scientists working across Africa, Europe, the UK and the US. ABOUT THE ROLE Sand Technologies focuses on cutting-edge cloud-based data projects, leveraging tools such as Databricks, DBT, Docker, Python, SQL, and PySpark to name a few. We work across a variety of data architectures such as Data Mesh, lakehouse, data vault and data warehouses. Our data engineers create pipelines that support our data scientists and power our front-end applications. This means we do data-intensive work for both OLTP and OLAP use cases. Our environments are primarily cloud-native spanning AWS, Azure and GCP More ❯

LEAD DATA ANALYST TO SPEARHEAD DATA AND REPORTING STRATEGY, BUILDING A DATA-DRIVEN CULTURE FROM THE GROUND UP WITH A DATA WAREHOUSE-FIRST MINDSET. TITLE: Business Intelligence Strategist/Lead Data Analyst SALARY: £(phone number removed) LOCATION: Office Based near Wakefield You may have been a: Data Officer, Data Strategist, Data Analytics Manager, Business Intelligence Manager, Data Governance Manager, Reporting and Analytics Manager, Data Operations Manager, Head of Data Strategy, Business Intelligence Strategist, Data Insights Manager, Enterprise Data Manager, Data Program Manager, Analytics and Reporting Lead, Data … with non-technical stakeholders to identify business challenges, define requirements, and create effective reporting solutions. Lead the transition from reporting on production databases to a robust data warehouse as the single source of truth. Design and build new ETL/data pipelines to replace outdated nightly rebuild processes. Oversee the selection of a BI platform More ❯

Hong Kong. By 2030 we aim to be one of the world's leading advisory firms with a truly global footprint. We're looking for a Data Warehouse Solution Engineer to take ownership of evolving, maintaining, and supporting our newly established Azure data warehouse. In this hands-on role, you'll collaborate with the Applications … is a fantastic opportunity to help shape how data is used across the business. You'll play a central role in extending our Azure data warehouse through new system integrations, enabling deeper insights that support smarter, faster decision-making at every level of the firm. With a small but growing team, we're looking for … value. Key Accountabilities: Working closely with colleagues in IT and other internal teams, notably Finance, build a roadmap of business use cases to ingest into the data warehouse to fuel reporting & dashboards. Own, monitor, and evolve the current Azure Data warehouse, developing and implementing data engineering best-practice (e.g., source-to-target More ❯

Hong Kong. By 2030 we aim to be one of the world's leading advisory firms with a truly global footprint. We're looking for a Data Warehouse Solution Engineer to take ownership of evolving, maintaining, and supporting our newly established Azure data warehouse. In this hands-on role, you'll collaborate with the Applications … is a fantastic opportunity to help shape how data is used across the business. You'll play a central role in extending our Azure data warehouse through new system integrations, enabling deeper insights that support smarter, faster decision-making at every level of the firm. With a small but growing team, we're looking for … value. Key Accountabilities: Working closely with colleagues in IT and other internal teams, notably Finance, build a roadmap of business use cases to ingest into the data warehouse to fuel reporting & dashboards. Own, monitor, and evolve the current Azure Data warehouse, developing and implementing data engineering best-practice (e.g., source-to-target More ❯

Hong Kong. By 2030 we aim to be one of the world's leading advisory firms with a truly global footprint. We're looking for a Data Warehouse Solution Engineer to take ownership of evolving, maintaining, and supporting our newly established Azure data warehouse. In this hands-on role, you'll collaborate with the Applications … is a fantastic opportunity to help shape how data is used across the business. You'll play a central role in extending our Azure data warehouse through new system integrations, enabling deeper insights that support smarter, faster decision-making at every level of the firm. With a small but growing team, we're looking for … value. Key Accountabilities: Working closely with colleagues in IT and other internal teams, notably Finance, build a roadmap of business use cases to ingest into the data warehouse to fuel reporting & dashboards. Own, monitor, and evolve the current Azure Data warehouse, developing and implementing data engineering best-practice (e.g., source-to-target More ❯

Hong Kong. By 2030 we aim to be one of the world's leading advisory firms with a truly global footprint. We're looking for a Data Warehouse Solution Engineer to take ownership of evolving, maintaining, and supporting our newly established Azure data warehouse. In this hands-on role, you'll collaborate with the Applications … is a fantastic opportunity to help shape how data is used across the business. You'll play a central role in extending our Azure data warehouse through new system integrations, enabling deeper insights that support smarter, faster decision-making at every level of the firm. With a small but growing team, we're looking for … value. Key Accountabilities: Working closely with colleagues in IT and other internal teams, notably Finance, build a roadmap of business use cases to ingest into the data warehouse to fuel reporting & dashboards. Own, monitor, and evolve the current Azure Data warehouse, developing and implementing data engineering best-practice (e.g., source-to-target More ❯

through analytical reporting and metadata access. Essential Job Duties Design, develop, and maintain relational databases for data storage and data mining. Perform data warehouse design and testing, including data design, database architecture, metadata, and repository creation. Create and support the ETL process to extract the data from source systems … closely with data analysts, data scientists, and other data consumers to optimize reports by defining business requirements and populating the data warehouse table structure. Design data warehouse schematics and layouts and develop capacity planning. Create and implement effective metrics and monitoring processes. Develop processes and procedures for entering … information into data warehousing systems and for ensuring its reliability. Seek continuous improvement in the performance of the data warehouse and ensure the security of data. Implement procedures for maintenance, monitoring, backup, and recovery for the data warehouse and related systems. Assume other duties as assigned. Supervisory Responsibilities Not responsible for supervising More ❯

Description ICF is a rapidly growing, entrepreneurial, multi-faceted consulting company, seeking a Data Architect. This resource lead the design and implementation of a robust, scalable, and secure data lake architecture to support advanced analytics and AI/ML initiatives to a government agency committed to improving child welfare. The ICF team performs custom software development … within 50 miles of the Washington, DC Metro Area to be considered. What you'll be doing: Lead the architecture and design of an enterprise-scale AWS-based data lake and data integration ecosystem to support advanced analytics and AI/ML initiatives. Define and enforce data modeling, metadata, data lineage, and … teams on architectural standards, data modeling practices, and modern cloud-native data design patterns. Support project delivery on Data Lake, Data Warehouse and BI projects for external and internal clients, including partnering with ICF subject matter experts on project execution What you must have: Bachelor's degree 8+ years of experience More ❯

/Data Specialist to join us. Duties and Responsibilities: Analyze the existing data structures in PeopleSoft and confirm the necessary transformations for Data Warehouse compatibility. Extract data from PeopleSoft using SQL and other relevant tools. Creation of efficient data structures that support reporting and analytics. Expertise in dimensional modeling … and target data fields. Utilize ETL tools for data integration. Design and implement ETL processes to load data into the Data Warehouse, ensuring efficient performance and data integrity. Validate data accuracy and completeness post-migration to ensure that all data has been successfully transferred. Work … computer science, information systems. 8 years of total experience needed. Additional Requirements: 5 years of experience in data migration projects, specifically from PeopleSoft to a Cloud BasedData Warehouse system. Strong proficiency in SQL for data extraction and manipulation. Experience with ETL tools and data integration techniques. Experience with databases such as Oracle, SQL More ❯

Job Description: Director of Data Platform & Governance will lead the transformation and modernization of our enterprise data ecosystem. This role will drive the development and execution of a comprehensive data platform strategy, integrating robust data governance, metadata management, and modern platform technologies. The ideal candidate will be both a visionary leader and … a hands-on expert in building scalable, secure, and future-ready data solutions. Education Qualifications: Key Responsibilities: Data Platform Strategy & Modernization: Define and execute a roadmap for modernizing the enterprise data platform, including hybrid migration, data lake/data warehouse architecture, and analytic capability modernization Oversee the integration and optimization of modern data technologies (e.g., Snowflake, Databricks, Azure/AWS/GCP, Kafka) Lead cross-functional teams More ❯

join us in “healing and inspiring the human spirit” and to pivot from a “job” opportunity to an authentic experience! Under the direction of the Department Leadership, the Data Engineer III is responsible for the design, planning and development of IEHP data solutions. The Data Engineer III will lead the design and development of … from multiple data sources, including external API 18. Program and modify code in languages like Java, Json, Python, and Spark to support and implement Data Warehouse solutions. 19. Design and deploy enterprise-scale cloud infrastructure solutions. 20. Research, analyze, recommend and select technical approaches for solving difficult and meaningful development and integration problems. 21. Work … Minimum of eight (8) years of experience in provisioning, configuring, and developing solutions in Azure Data Lake, Azure Data Factory, Azure SQL Data Warehouse, Azure Synapse and Cosmos DB. Eight (8) years implementing software development methodologies. Eight (8) years working with relational databases. Experience building and optimizing big data pipelines, architectures More ❯

My Financial Services client is seeking to recruit an Oracle Data Warehouse/Oracle Developer on an initial 6 month contract based in London. It is hybrid and will require 3x days onsite per week. You will be responsible for the design, optimize, and maintain Oracle-based data warehouse solutions to ensure high performance … scalability, and alignment with business intelligence and analytics needs. You will have proven experience reviewing and optimizing Oracle data warehouse environments, conducting performance tuning, indexing strategies and partitioning. Skills: Deep understanding of Oracle data warehouse architecture and performance optimization. Strong knowledge of relational and OLAP modelling principles. Advanced SQL and PL/SQL skills … 11g/12c or later). Familiarity with data profiling, data quality assessment, and metadata management. Experience identifying and implementing improvements in data warehouse performance, structure, and scalability. More ❯