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Analytics Data Engineer building reliable datasets, derived tables, and dashboards using SQL, Python, and Databricks lakehouse pipelines, collaborating with actuaries and analysts.
Analytics Data Engineer building and applying analytical methodologies on structured/semi-structured datasets using SQL, Python, and Databricks lakehouse workflows at Aon Life in Singapore.
Senior Data Engineer designing and evolving ETL/ELT processes, implementing data ingestion/transformations in Data Lake/Warehouse/Lakehouse, ensuring data quality, and acting as technical lead. Core technologies: Databricks, Python, SQL, Spark.
Senior Data Engineer defining and evolving ETL/ELT processes, designing data ingestion and transforming data in Data Lake/Warehouse/Lakehouse environments using Databricks and cloud platforms (Azure/AWS/GCP).
Data Engineer / ETL focused on Microsoft Fabric, building ETL/ELT processes, Lakehouse architectures (Bronze/Silver/Gold), data modeling, and integration using Python, PySpark, SQL, and Power BI.
Data Engineer designing and maintaining scalable batch and streaming data pipelines on AWS, working with Python, Spark, Airflow, and infrastructure-as-code tools like Terraform in a hybrid setup in Madrid.
Senior Data Engineer building and optimizing Snowflake data platforms, dbt-based ELT pipelines, and Reltio MDM integrations for a life sciences data company.
Analytics Engineer owning the data modelling layer on Microsoft Fabric/dbt, building transformation logic and semantic layers to deliver trusted datasets for Power BI reporting at an energy supplier.
REQ P-1075 This role is remote-friendly, candidates from any remote U.S. location are welcome to apply. As a University Recruiter (Contract), you will be an integral part of the early career hiring process. You will…
Own the product roadmap and operational delivery for FP&A capabilities powered by Microsoft Fabric, partnering with Finance, Data & Analytics, and Engineering to improve planning, forecasting, and financial reporting.
A senior engineer who resolves complex Spark/ML/AI issues for Databricks’ largest customers, trains teams, and collaborates cross-functionally to deliver technical solutions aligned with business goals.
Senior Data Engineer leading the migration from legacy SQL Server and traditional data warehouses to a modern Microsoft Fabric platform, combining hands-on PySpark/SQL development with stakeholder consulting and technical leadership.
Senior Data Engineer owning and building a data platform end to end on AWS/Databricks using Python and PySpark, while leading a small team at a healthcare-focused SaaS company.
Lead Data Engineer on a major Federal Government program designing and building enterprise-scale data pipelines and Lakehouse architectures using Databricks, Microsoft Fabric, and Azure cloud technologies.
Senior Data Architect owning data architecture and modelling on an Azure Data Lakehouse platform, driving governance, dimensional modelling, and analytics best practices within a large-scale cloud data transformation for a UK professional services firm.
The Senior Data Architect will lead data modelling and architecture strategy within an Azure Data Lakehouse environment, focusing on governance and scalable analytical solutions. This role involves designing enterprise-wide data models and collaborating with engineering teams to support the organization's transition to advanced analytics.
Senior Data Engineer builds and maintains scalable data pipelines and models for Crexi’s AI-powered commercial real estate platform, ensuring reliable, high-performance data systems.
Data Engineer on a Microsoft Fabric project designing and maintaining data solutions using SQL, Python, Data Lake, and Lakehouse technologies in a hybrid setup in Madrid.
Designs and builds scalable data infrastructure on AWS and Snowflake, focusing on data lakehouse architectures, pipelines, and ensuring data reliability and security for stakeholders.
Publicis Sapient is hiring a Senior Data Engineer to design and modernize enterprise-scale data platforms using cloud-native technologies. The role involves hands-on engineering and technical leadership in data ingestion, lakehouse architecture, and governance.
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