Remote Data Jobs · Azure

You'll be joining a strategic data platform integration project to consolidate data from different acquired companies into one unified Azure-based data warehouse. Integrate disparate data systems (NetSuite, SAP, Dynamics NAV, Business Central, Oracle) from multiple acquired companies, build a modern Azure data platform that scales globally, and enable executive decision-making with unified financial and operational reporting.

Analyze and enable business requests for advanced data analytics and insights generation. Build, integrate and sustainably deploy data pipelines. Develop, maintain, optimize data structures in a data lake platform (data preparation, data ingestion, resource development, data quality). Conduct data integration across on-prem, cloud and hybrid infrastructure. Derive data model and architecture. Implement data security and privacy guidelines based on Bosch standards. Develop and implement data provisioning strategy (APIs, exports and others).

The Senior Database Consultant will provide comprehensive support for all database and application infrastructure aspects to a diverse client base. This role is crucial for delivering and consulting on services, as well as for implementing improvements and optimizations for managed services customers.

As a Senior Data Analytics Engineer on the Data Analytics Data Platform (DADP) team, you'll analyze, develop, and deliver business intelligence solutions using the Microsoft Analytics stack, working directly with clients to ensure their expectations and business decision-making tool needs are met. You will create scalable and reliable data solutions through data analytics solution development.

Lead the identification and analysis of business requirements within the BI context to develop strategic insights. Formulate data models that effectively transform raw data into actionable insights. Utilize advanced features of Power BI to create dynamic dashboards and interactive visual reports. Define and implement key performance indicators (KPIs) with specific objectives, ensuring their regular tracking and analysis. Translate business needs into comprehensive technical specifications and establish realistic project timelines.

Tackle diverse projects for clients ranging from local businesses to the Fortune 500. Design, develop and implement large scale, high-volume, high-performance data infrastructure and pipelines for Data Lake and Data Warehouse. Design cloud-native data pipelines, automation routines, and database schemas that can be leveraged to do predictive and prescriptive machine learning.

Leverage your experience developing algorithms and analyzing massive data sets to tell compelling data stories while also working in partnership with the go-to-market team to drive revenue generation for Socure by ensuring that potential and existing customers can understand the benefit and value of Socure’s products throughout the pre and post sales cycle. It’s a great fit for someone who enjoys working with data and directly influencing business decisions.

Own the health, performance, and scalability of the production databases that power our PARCS platform. Lead high-availability configurations, disaster recovery planning, and performance optimization while continually improving the infrastructure that supports our products. Eliminate issues before they become emergencies; take full ownership of the data backbone supporting millions of transactions across our platform.

Support a transformative state government AI initiative focused on leveraging data to drive better decision-making, transparency, and service delivery as a Sr. Data Engineer. This role will be part of a multidisciplinary team building scalable data infrastructure, enabling machine learning applications, and ensuring data quality and governance across state systems. The ideal candidate will bring deep expertise in data engineering, modern cloud architectures, and public-sector data practices.

Seeking a talented and motivated Data Architect to join our team in a project supporting the consolidation of data, systems and corporate processes on a global scale. You will lead the migration of data from complex systems to a unified architecture. Your role will be to ensure that the migrated data systems meet the specific needs of the business, providing a smooth and efficient transition.