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Delphi Care Solutions is seeking a mid-level data engineer to build and maintain data pipelines and quality controls using Microsoft Fabric for their AI-driven healthcare analytics platform.
Data Engineer owning and developing a Microsoft Fabric data platform, building pipelines from MongoDB and APIs using SQL and Spark while driving governance and GDPR compliance.
Build Power BI dashboards and semantic models, develop ETL/ELT pipelines, and improve data quality and governance using Azure SQL, Synapse, and Microsoft Fabric as part of an internal IT team.
The Data Engineer will design and develop data products, pipelines, and models using AWS or Microsoft cloud technologies to support reporting and analytics. This role involves collaborating with cross-functional teams to improve data quality and governance within a social housing organization.
The Data Engineer will own and optimize the Microsoft Fabric environment, building robust data pipelines and analytics solutions to support business requirements. The role involves collaborating with cross-functional teams to ensure data integrity, governance, and high-quality reporting using tools like Spark, SQL, and Power BI.
The Lead Data Engineer will design, build, and optimize scalable data pipelines within Microsoft Fabric to mature the company's data architecture from Bronze to Gold. This hands-on technical leadership role involves mentoring a small team, ensuring data quality, and acting as the senior technical escalation point.
Hands-on lead engineer shipping production C#/.NET services, React/TypeScript frontends, and Python-based LLM agentic applications across risk, compliance, and AI-powered payments platforms on Azure/AKS.
Senior Data Platform Engineer owning the medallion (Bronze/Silver/Gold) data architecture end-to-end on Microsoft Fabric for a next-generation risk analysis and scoring platform, using Spark, Python, Delta Lake, and Azure.
Technical Project Manager leading end-to-end enterprise Databricks data platform implementations, running agile ceremonies for data engineering and science teams while bridging C-level business requirements with technical execution.
Responsibilities Support data engineering execution across complex application development initiatives, ensuring data models, integrations, and pipelines align with established architectural standards. Collaborate with…
Salary: £65,000 - 65,000 per year Requirements: Proven hands-on experience supporting Microsoft SQL Server in production environments. Strong T-SQL development and database performance tuning skills. Experience…
This Data Engineer role involves building and maintaining batch and streaming pipelines to ingest and standardize banking data for AI platforms. The position focuses on data quality, lineage, and security using the Microsoft Azure stack, Apache tools, and vector-store management.
Design and build scalable Azure data solutions using Databricks, Snowflake, Microsoft Fabric, Python, and PySpark for client projects across healthcare, government, and finance sectors.
As an Azure Data Engineer at ilionx, you will design and build scalable data solutions and pipelines using technologies like Databricks, Snowflake, and Python. You will work on diverse projects across sectors like healthcare and finance, focusing on data lakehouses, AI-ready platforms, and cloud migrations.
The Data & AI Platform Engineer will build and maintain batch and streaming data pipelines using tools like Databricks, Kafka, and PySpark. The role also involves implementing RAG solutions and supporting data governance within a hybrid cloud environment.
Vadīt klientu apkalpošanas, CRM un kontaktu centra risinājumu ieviešanu, pāreju no projekta izstrādes uz stabilu ikdienas darbību, kā arī nodrošināt šo risinājumu turpmāku pārvaldību Būt par Dynamics 365 un Power…
Build and operate a data & analytics platform on Microsoft Azure, Fabric, and Power BI, developing ETL/ELT pipelines with Python, PySpark, and SQL while collaborating with business units on BI solutions.
Lead a team to design and implement enterprise-scale data pipelines and integrations for AI and automation projects, assessing feasibility and recommending cloud platforms like Azure or AWS.
Lead a team to design and implement scalable data pipelines and integrations for enterprise clients, focusing on ETL/ELT, cloud platforms, and AI/ML readiness.
The Junior Data Scientist will design and analyze data models to provide strategic business insights. The role involves managing data ingestion, transformation, and reporting using Python and Power BI.
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