176 to 185 of 185 Remote Data Lake Jobs

BI Developer. This is a unique opportunity to join an industry leader that has invested heavily into the latest Microsoft technologies to drive data-led decision making and deliver automated insights across the business. You'll play a key role in building and optimising ETL/data pipelines, developing modern reporting solutions, and shaping how data is used across the organisation. Key Responsibilities: Build and optimise ETL processes using Microsoft SQL Server. Develop and maintain data pipelines feeding into data lakes and warehouses. Design and deliver dashboards and reports … using Power BI and SSRS. Tune SQL queries, indexes, and database performance. Ensure data integrity, governance, and documentation across all solutions. Work closely with stakeholders to understand and deliver data requirements. Explore AI-powered enhancements for automated insights and report generation. Required Experience: Demonstrable experience in More ❯

Lead AWS Data Engineer £95,000 - £105,000 pa + Benefits + Bonus Central London with Hybrid Working JNC are working closely with a growing financial services organisation in London that are looking to bring on a talented Lead Data Engineer that has strong python development … skills as well as data focused AWS expertise. The Lead Engineer will provide technical leadership and mentoring for a team of 6 Data engineers. The team is responsible for developing and maintaining the clients data platform. The ideal candidate will have strong skills in … Software Engineering as well as Data Engineering using AWS related technologies. If your skills and experience align with the role then APPLY NOW. Experience Required: Software Engineering skills with Python coding capabilities. Experience working with Data Lakes and Glue Experience working AWS Athena. Experience working with More ❯

Engineer to join us as part of our team. About the role PitchBook is a platform designed for investment professionals, offering access to data and analytical tools that provide quick answers and help discover promising opportunities. It uncovers actionable insights and trends within the financial data … K8s experience Experience with unit testing English: Upper-intermediate at least (both spoken and written) Bonus points Experience building systems requiring extensive ETL, data lakes/platforms, and data sourcing Experience with Google Cloud managed services Work with projects with microservice architecture What's in it More ❯

such as elastic compute clouds, containerization, microservices, real-time operating systems, and visualization frameworks, with expertise in cyber security, software architecture, software engineering, data science, Artificial Intelligence, process improvement, and software development to deliver responsive, resilient, high-performance software intensive systems to our Intelligence Community , DoD, and civilian … into deployed applications to serve a variety of needs across the space industry. This individual will have a significant role in defining the Data Science and AI Department's ML Platform and software development practices and help charter its scope relative to other departments within ISCD. Work Model … the business needs allow . What You'll Be Doing This role is for an individual who can join us in revolutionizing how Data Science and ML development is conducted within the company by helping DSAID define and streamline its ML platform, application interfaces, and deployment processes. Developing More ❯

seasoned Software Engineer eager to collaborate with a team of top-tier innovators, tackling diverse products across various industries? Are you a seasoned Data Engineer seeking to advance your career with a team of highly-skilled, innovative professionals working on multiple products across various industries? If so, Nexaphaze … could be the perfect fit for you. We're looking for an experienced Data Engineer to join our team of innovators, working on cutting-edge products spanning a range of industries. You'll have the chance to collaborate with entrepreneurs and business leaders, helping them bring disruptive products … cross-functional team of seasoned professionals with expertise across industries like fintech, AI, IoT, and more. What You'll Be Doing: As a Data Engineer, your responsibilities will include: Designing, programming, constructing, and maintaining databases, and modifying existing ones for platform updates and evolving user needs. Deploying managed More ❯

demonstrate capabilities and business impact. Translate complex business needs into compelling, value-led solution proposals. Remove technical barriers by addressing integration, analytics, and data-related challenges during the sales cycle. Collaborate with Sales, Product, Engineering, and Professional Services to ensure seamless transitions post-sale. Represent our client at … the closure of 6- and 7-figure enterprise SaaS deals. Experience in consumer packaged goods (CPG) or similar enterprise environments. Technical expertise across data architecture, analytics platforms, and cloud services such as Azure Data Factory, Synapse, or Data Lakes. A consultative approach, with the … A collaborative, cross-functional mindset and the agility to thrive in a fast-paced, scale-up environment. A background in software development or data engineering is advantageous. A relevant degree or equivalent industry experience. The Benefits Included with this Opportunity: Work remotely with flexibility across European and American More ❯

etc., Deep, hands-on knowledge of Microservices & API Mgmt., Cloud Platforms such as Microsoft Azure and DevOps process is required. Good knowledge of Data & Analytics technologies such as Data Lakes, Business Intelligence Tools, Predictive Models, 3rd Party Data. Experience in development of REST based APIs using More ❯

organization, ensuring scalability, reliability, and efficiency. Lead the development of custom LLM architectures, pre-training strategies, and cost optimization techniques. Build and optimize data pipelines using Kafka to handle large-scale data processing for AI applications. Implement and fine-tune vector databases for fast search, retrieval … and AI-driven insights. Define and uphold SLAs, SLOs, and incident response strategies for ML services. Collaborate with engineers, product managers, and data scientists to deliver impactful AI solutions while mentoring and supporting the team. You Have Expertise in Python and are proficient with ML libraries and frameworks. … Experience with working in data lakes, Kafka streams, and managing large datasets at scale. Experience with vector databases and vector search, and know how to optimize them for AI use cases. Extensive experience in database optimization, both in terms of query performance and efficient data storage More ❯

organization, ensuring scalability, reliability, and efficiency. Lead the development of custom LLM architectures, pre-training strategies, and cost optimization techniques. Build and optimize data pipelines using Kafka to handle large-scale data processing for AI applications. Implement and fine-tune vector databases for fast search, retrieval … and AI-driven insights. Define and uphold SLAs, SLOs, and incident response strategies for ML services. Collaborate with engineers, product managers, and data scientists to deliver impactful AI solutions while mentoring and supporting the team. You Have Expertise in Python and are proficient with ML libraries and frameworks. … Experience with working in data lakes, Kafka streams, and managing large datasets at scale. Experience with vector databases and vector search, and know how to optimize them for AI use cases. Extensive experience in database optimization, both in terms of query performance and efficient data storage More ❯

the month-end close from to 7 days for full close and reporting including all reconciliations Implement finance systems and tools, working with data and technology teams Partner with the onshore/offshore operating model for transactional finance (AR, AP, Treasury, cash management, month end) partnering with the … supporting M&A transactions including accounting treatment and post-deal integration Track record in finance transformation and systems improvement (e.g. ERP, Power BI, data lakes) Ability to operate at both strategic and operational levels Desired: Public listing preparation or listed company exposure Knowledge of US GAAP or future More ❯