101 to 125 of 453 Remote Data Warehouse Jobs

tuning of Microsoft Business Intelligence environments. Integration: Support integration with other applications. Reporting and Analytics: Design and implement solutions, including table structures and data processes. Business improvement: Help drive improvement in key metrics, customer experience, and business results. Collaboration: Interact with development teams, project managers, customers, senior management … business intelligence and advanced analytics solutions. Create data integration and technical solutions using SQL Server, Data Lake, Data Warehouse, and Machine Learning. Define and implement ETL architecture using SQL, SSIS, Data Factory, and MS ETL capabilities. Recommend and implement enhancements to … management, modeling, and integration activities. Minimum Qualifications: Experience: Minimum of 5-years in IT total, including 3+ years as a Data Warehouse Developer. Skills: Experience with ETL on Microsoft Power BI stack, SQL Server, T-SQL, SSIS, DAX, and M-query. Technical Requirements: Expertise in distributed More ❯

.video-wrapper svg top:40%; U.S. - Work-life flexibility By playing this video you consent to Google/YouTube processing your data and using cookies Learn more . Position Description: CGI Federal is seeking a motivated and customer-oriented Data Analyst to support a large federal … agency. This role is pivotal in consolidating and integrating existing data warehouses, data marts, and applications into an Integrated Enterprise Data Warehouse. The Data Analyst will perform detailed analyses of data and data source characteristics, relationships, and logic … Fairfax, VA office; however, a hybrid working model is acceptable. Your future duties and responsibilities: Identify and document problems traced to both original data quality issues and system outputs, and recommend solutions. Combine domain knowledge and knowledge of system performance requirements in supporting system development and performance testing More ❯

Senior Data Engineer Hybrid working (3 days per week onsite in London) 6 Month contract initially, good scope for extension Market rates (Umbrella-PAYE) One of our blue chip clients are looking for a number Senior Data Engineer to join the team on a long term … programme of work. Key Responsibilities: * ETL Pipeline Development: Develop, optimize, and maintain ETL pipelines to efficiently extract, transform, and load data from various sources, ensuring high data quality. * Monitor and troubleshoot production data pipelines, ensuring their performance and reliability. * Mentor junior engineers and lead … technical discussions to drive best practices and innovation within the team. * Stay up to date with the latest trends and technologies in data engineering and recommend solutions to improve data processing capabilities. * Query Optimization & Data Transformation: Write and optimize SQL queries, ensuring data More ❯

business, both managing the day-to-day workload whilst overseeing the long-term developments of data from the Customer Data Warehouse, source systems and future roll out of advanced/predictive analytics. · have the strategic vision to develop and create a BI analytical centre of … Qlik platform. Strong technical experience will also be required, including knowledge of SQL/MySQL and advanced Excel skills including VBA; experience in data visualization tools (eg. QlikView, Power BI, Tableau, Domo etc) and a good understanding of how to manipulate and interpret complex/imperfect data … the business managing the day-to-day workload whilst overseeing the long-term developments of data from the Customer Data Warehouse, source systems and future roll out of advanced/predictive analytics. Develop the strategic vision and create a BI analytical centre of excellence for More ❯

Sr ETL Developer Fulltime Hybrid - Atlanta, GA Key Responsibilities: ETL Development: Design, develop, and maintain ETL processes to efficiently extract, transform, and load data from various sources into SQL Server and Snowflake. Data Integration: Integrate data from diverse sources, including on-premises databases, cloud … services, and third-party applications. Database Management: Create and optimize SQL queries, stored procedures, and functions in SQL Server and Snowflake to support data processing and reporting. Data Modeling: Collaborate with data architects and analysts to design and implement data models that … meet business requirements and optimize performance. Performance Tuning: Monitor and optimize ETL processes for performance and scalability, addressing any bottlenecks or inefficiencies. Data Quality: Implement data validation and cleansing processes to ensure data accuracy and integrity. Documentation: Maintain comprehensive documentation for ETL processes, data More ❯

a week onsite, 2 days remote About the Role: We are seeking to expand our team with skilled professionals who are passionate about data and technology. As a leading company in financial services , we are committed to delivering innovative solutions to support our business objectives. We are looking … experienced Teradata Developer to join our dynamic team, where you will play a crucial role in designing, developing, and maintaining our data warehouse solutions. Key Responsibilities: Design, develop, and maintain robust data warehouse solutions using Teradata. Utilize BTEQ scripting for efficient data extraction, transformation, and loading (ETL) processes. Implement Unix shell scripting to automate routine tasks and improve data processing efficiencies. Collaborate with cross-functional teams to ensure data solutions align with business requirements. Perform performance tuning and optimization of Teradata databases to enhance system efficiency. More ❯

create groundbreaking products and solutions. Our AI Team is committed to exploring AI and machine learning's full potential. Job Summary: As a Data Engineer on AI Team, you will craft the foundation of our AI models and algorithms. You will build and maintain reliable data pipelines, ensuring data availability, integrity, and quality for our AI projects. Your work will directly influence our AI initiatives, contributing to innovative solutions for complex problems. Key Responsibilities Design, develop, and maintain scalable data pipelines using Databricks and Azure services. Perform feature set engineering … report preparations, and ML tasks. Work with data scientists, ML engineers, and collaborators to deliver high-quality data solutions. Collaborate with the Data & Analytics Team on data infrastructure and ingestion. Discuss data inputs with Business Development and collaborators, advising on More ❯

to Move to Skip to Content Link Select how often (in days) to receive an alert: The job you're considering The Cloud Data Platforms team is part of the Insights and Data Global Practice and has seen strong growth and continued success across a variety … of projects and sectors. Cloud Data Platforms is the home of the Data Engineers, Platform Engineers, Solutions Architects and Business Analysts who are focused on driving our customers digital and data transformation journey using the modern cloud platforms. We specialise on using the latest … with modern programming languages such as Python, Java, and Scala. Expertise in Data Storage Technologies: In-depth knowledge of Data Warehouse, Database technologies, and Big Data Eco-system technologies such as AWS Redshift, AWS RDS, and Hadoop. Experience with AWS Data More ❯

Principal Data Architect - Remote UK Principal Data Architect - Remote UK Job Summary: JOB DESCRIPTION - PRINCIPAL DATA ARCHITECT Location: UK (Remote) Division: Technology Line Manager: Kieren Hynd, Chief Architect Contract Terms: Permanent THE TEAM Enterprise Architecture owns the high-level architecture of Ticketmaster's technology … closely with teams across the business, ensuring they can relate their work to our long-term strategic goals. THE JOB As a Principal Data Architect, you will perform an essential role for Ticketmaster's Enterprise Architecture team, reporting to the Chief Architect. You will shape and drive toward … architectures, and understanding of a broad range of data-oriented technologies and their applicability. Experience with one or more data warehouse platforms (preferably Databricks and Spark). Understanding of the principles, practices and techniques of Data Engineering and Machine Learning. Working knowledge of More ❯

Full Stack/Backend Developer needed to support the development of could hosted back-end elements of a data warehouse and processing pipeline. -This position can be fully remote with a few trips per year to Lexington, MA. Our client is seeking a software engineer to develop … cloud hosted back-end elements of a data warehouse and processing pipeline for robotics and autonomous systems data. Robotic systems generate a large volume of data from sensors and internal processing. Storing and reusing that data to validate and develop new autonomy algorithms … and environments, such as Pandas, TensorFlow, and Jupyter Notebook. • Broad knowledge of the general features, capabilities, and trade-offs of common data warehouse (e.g. Apache Hadoop); workflow orchestration (e.g. Apache Beam); data extract, transform and load (ETL); and stream processing (e.g. Kafka) technologies. Hands-on More ❯

Data Engineer – Remote Working/London circ £60,000 - £70,000 Experienced Data Engineer required for this remote working/hybrid position based in West London (near Feltham, Hanworth, Hounslow etc). Ideally the successful candidate will be able to work on site once or twice … the client would also consider candidates looking for a remote working role as long as they can be onsite once a month. The Data Engineer will join a small team and play a key role in developing and managing data integration projects as our client transitions … from legacy systems into modern infrastructure, reporting and analytics. The key responsibilities for the post include; Design and develop a modern data warehouse (Azure or Snowflake), capable of ingesting data from multiple sources and that can store and organise large volumes of data. Develop and More ❯

Job Title: Data Analytics Engineer Location: Hybrid On-Site 2 days/week in Denver, CO Job Type: Permanent/Direct-Hire Pay: Up to $110,000 - $125,000/year Must-haves: 5+ years' experience Bachelor's degree in Data Analytics, Data Science … Computer Science, or related field Proven experience in Data/Business Analysis SQL Proficiency (3+ years) Strong understanding of data modeling, ETL processes, and data warehousing concepts Must be comfortable and confident in project ownership rather than being assigned tasks to follow Excellent communication … interfacing with executives and clients Strong organizational skills with a focus on clear documentation Plusses: Snowflake Power BI or Tableau Experience with healthcare data, specifically claims data protected by HIPAA Knowledge of machine learning techniques and their application in data analytics Familiarity with version More ❯

The Data Management practice within the Insights and Data business unit of Capgemini is a global practice involved on a broad range of business and IT focused topics from Information Strategy, Governance, Master Data Management, Data Architecture, Data Migration and … Lifecycle Management. We help our clients build an enterprise class data platform that allows them to move ahead in their journey of big data and insights. Primarily working with leading software vendors like SAP, Informatica, IBM, Oracle et al, the team are first and foremost Consultants … projects for our clients. Our ETL Specialists work closely with the project and client teams to understand the requirements, analyse source and target data architecture and systems, propose the most effective solution and work with a team of experts to deliver. We are looking for our ETL Specialists More ❯

The Data Management practice within the Insights and Data business unit of Capgemini is a global practice involved on a broad range of business and IT focused topics from Information Strategy, Governance, Master Data Management, Data Architecture, Data Migration and … Lifecycle Management. We help our clients build an enterprise class data platform that allows them to move ahead in their journey of big data and insights. Primarily working with leading software vendors like SAP, Informatica, IBM, Oracle et al, the team are first and foremost Consultants … projects for our clients. Our ETL Specialists work closely with the project and client teams to understand the requirements, analyse source and target data architecture and systems, propose the most effective solution and work with a team of experts to deliver. We are looking for our ETL Specialists More ❯

The Data Management practice within the Insights and Data business unit of Capgemini is a global practice involved on a broad range of business and IT focused topics from Information Strategy, Governance, Master Data Management, Data Architecture, Data Migration and … Lifecycle Management. We help our clients build an enterprise class data platform that allows them to move ahead in their journey of big data and insights. Primarily working with leading software vendors like SAP, Informatica, IBM, Oracle et al, the team are first and foremost Consultants … projects for our clients. Our ETL Specialists work closely with the project and client teams to understand the requirements, analyse source and target data architecture and systems, propose the most effective solution and work with a team of experts to deliver. We are looking for our ETL Specialists More ❯

The Data Management practice within the Insights and Data business unit of Capgemini is a global practice involved on a broad range of business and IT focused topics from Information Strategy, Governance, Master Data Management, Data Architecture, Data Migration and … Lifecycle Management. We help our clients build an enterprise class data platform that allows them to move ahead in their journey of big data and insights. Primarily working with leading software vendors like SAP, Informatica, IBM, Oracle et al, the team are first and foremost Consultants … projects for our clients. Our ETL Specialists work closely with the project and client teams to understand the requirements, analyse source and target data architecture and systems, propose the most effective solution and work with a team of experts to deliver. We are looking for our ETL Specialists More ❯

A prestigious organization based in London is seeking a dynamic and versatile Data Engineer/Analytics Engineer to contribute to the development, enhancement, and management of their data systems … pipelines, and reporting infrastructure. This role will focus on designing and maintaining efficient data pipelines while building a scalable data warehouse architecture. A major aspect of this position will involve integrating new data sources to create a unified Single Customer View. Additionally, collaboration … team settings, with excellent communication skills and the confidence to engage with various stakeholders. Key Responsibilities: Support the development of the data warehouse and enhance the SQL reporting framework. Design, implement, and manage data pipelines to gather, process, and store information from multiple data More ❯

Our client, a leading technology organization, is seeking a Data Architect to lead the design, implementation, and optimization of data solutions. This is a high-impact role focused on modernizing data architecture, enabling scalable analytics platforms, and driving digital transformation initiatives in the cloud. … Key Responsibilities: Design and architect cloud-native data architectures on platforms including: AWS & Google Cloud. Define data strategies, standards, and best practices for data warehousing, data lakes, and real-time data processing. Lead the migration of on-premise data solutions to the cloud, ensuring performance, security, and cost optimization. Collaborate with data engineers, analysts, and business stakeholders to translate business needs into scalable data solutions. Establish data governance, metadata management, and security protocols across cloud data platforms. Evaluate and More ❯

Linaker is seeking a Remote Data Analyst to join its growing team. This role is ideal for a detail-oriented professional with a bachelor's degree (or equivalent) in computer or data science and a minimum of 3 years' experience in data analysis. The … successful candidate will have strong proficiency in data analytics tools and software, using insights to support business decisions and optimize performance. If you have a passion for data-driven solutions and want to contribute to a leading M&E specialist, apply today to join Linaker's … APIs for data integration and retrieval. Advanced skills in Power BI for creating interactive reports and dashboards. Knowledge of Data Warehouse/Data Lake architectures and technologies. Strong working knowledge of a language for data analysis and scripting, such as Python More ❯

SMX is seeking a talented Data Engineer (Python) with expertise in ETL (Extract, Transform, Load) processes and Apache Airflow. The candidate will be responsible for designing and implementing robust and efficient data pipelines, ensuring high data quality, and contributing to the continuous improvement of … our data management practices. This is a remote position supporting a Washington, DC based team. Essential Duties & Responsibilities: Design, develop, and maintain ETL processes using Python and Apache Airflow. Collaborate with data analysts and other stakeholders to understand and meet their data requirements. Develop … and implement data validation processes to ensure high data quality. Troubleshoot and resolve issues related to data pipelines. Optimize data extraction, transformation, and loading (ETL) processes to improve efficiency and performance. Document and maintain the design and details of data More ❯

Job Title: Data Engineer Location: Glasgow ( Hybrid 2 days on-site) Salary: £40,000 – 50,000 D.O.E About the Company: Our client, a prominent manufacturing firm based in Glasgow, is committed to innovation and excellence in their field. They are currently seeking a skilled Data Engineer … to join their team and help drive data-driven decision-making processes to enhance their manufacturing operations. Job Description: As a Data Engineer, you will be instrumental in designing, developing, and maintaining the data infrastructure. You will work closely with data analysts … and other stakeholders to ensure data is accessible, reliable, and secure. Building and optimising data pipelines and architectures. Developing data integration solutions to connect various data sources. Implementing data quality and governance practices. Collaborating with cross-functional teams to understand More ❯

Are you an experienced Data Engineer looking to join a leading B Corp organisation in the financial services industry? Keen to join accompany offering a hybrid 3-day office working week? You will be joining a company who work very hard to enable long term financial well-being … by providing tailor made lending solutions. Data is key to our success, and that’s where you come in! You will be working hard to enable effective data driven decisions using your experience of data warehousing and Business intelligence. As a Data … not essential. Experience working in an Azure Data environment with storage tech such as Azure Data Lake, Data warehouse and traditional MSSQL. You will have great experience of MS SQL Server including working with T-SQL. Previous experience working with Power BI for More ❯

Job Title: Data Engineer Location: Newcastle (Hybrid 3 days on-site) Salary: £45,000 – 55,000 D.O.E About the Company: Our client, a leading utilities company based in Newcastle, is dedicated to providing reliable and sustainable utility services to the community. They are currently seeking a talented Data Engineer to join their dynamic team and contribute to their mission of leveraging data to enhance operations and services. Job Description: As a Data Engineer, you will play a crucial role in designing, developing, and maintaining the data infrastructure. You will collaborate … closely with data analysts and other stakeholders to ensure data accessibility, reliability, and security. Key responsibilities include: Building and optimising data pipelines and architectures. Developing data integration solutions to connect various data sources. Implementing data quality and governance More ❯

Data Engineer Manager Department: Tech Hub Employment Type: Permanent Location: London Reporting To: Lead Data Engineer Description Contract type: Permanent Hours: Full time, 37.5 hours per week Salary: circa £80,000 depending on experience Location: Canary Wharf WFH policy: Employees are required to attend the office … days/week Flexible working: Variety of flexible work patterns subject to line manager discretion e.g. Compressed 9-day fortnight. Role Summary: The Data Engineer Manager is responsible for driving the design, development, and optimization of data solutions in LCCC's data infrastructure. In … addition to fostering the growth of a skilled team, you will play a pivotal role in delivering LCCC's data applications, infrastructure, and services, ensuring they align with organizational goals and industry best practices. As part of the Technology Hub within LCCC, the Data Engineer Manager More ❯

Neos Networks is seeking a Data Analyst to join its dynamic team. This permanent, full-time position offers the flexibility of hybrid or remote working, allowing you to contribute from wherever you are. The ideal candidate will have a background in computer science, information technology, data … and support. Join Neos Networks and be part of a company that is transforming connectivity across the UK. If you are passionate about data analysis and enjoy working in a fast-paced, evolving environment, apply today! About Neos Networks Neos Networks is a leading provider of connectivity solutions … administration activities across the PMO function. Develop dashboards and reports to the standards defined by the team, and maintenance of the data warehouse required for reporting/dashboarding. Work with team to ensure the consistent application of data standards and data quality policies More ❯