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This role involves building and managing large-scale supply chain data ingestion pipelines and transforming data within a Lakehouse architecture using Databricks or Microsoft Fabric. The engineer will collaborate with business stakeholders to create optimized data models for self-service BI.
Data Engineer building AI-powered CV/job matching platforms, focusing on data ingestion pipelines, OCR processing of CVs and job descriptions, and scalable ETL/ELT workflows on AWS.
The Data Engineer will design and implement data ingestion processes, storage systems, and ETL pipelines to manage investment data. The role involves collaborating with business units and IT to ensure data quality and governance using technologies like Python, SQL, and Azure.
The Data Engineer will design and manage scalable ETL pipelines, data ingestion, and governance frameworks using Python, SQL, and Azure cloud services. The role involves collaborating with vendors to ensure data quality and traceability within the Risk and Quantitative team.
The Senior Data Engineer will design, build, and maintain enterprise data pipelines and data warehouse solutions using SQL Server and SSIS. This role focuses on transforming raw data into actionable insights while ensuring data quality, security, and performance across the organization.
The Data Engineer designs and maintains data infrastructure and ETL pipelines to support analytics and omnichannel initiatives. The role utilizes Python, SQL, and Microsoft Fabric to build scalable data solutions for life sciences clients.
The Backend Team Leader for the Data Platform will architect and optimize data ingestion, enrichment, and storage pipelines while leading a team of engineers. The role focuses on building real-time streaming systems and championing GenAI adoption within the software development lifecycle.
Data Engineer transitioning a core data platform to Azure, managing third-party data ingestion and integration using Python, SQL, Apache Spark, and Azure Databricks at a Madrid-based start-up investment management firm.
The Staff Backend Engineer will design and build backend infrastructure for DeFi protocols and vault products, including indexers, data pipelines, and APIs. The role involves integrating systems with smart contracts and turning quantitative models into production services using languages like Rust.
Principal Data Engineer architecting and deploying scalable big data systems, ETL/ELT pipelines, and AI infrastructure foundations using distributed computing frameworks (Spark, Flink), streaming platforms (Kafka), cloud data warehouses, and data lake architectures.
Software engineer building data platform infrastructure, APIs, and governance tools for Singapore's Whole-of-Government data programme, using cloud services (AWS/GCP), containers (Docker/Kubernetes), and data processing frameworks (Spark, Kafka).
The Lead Data Engineer builds and maintains custom data ingestion and MLOps platforms using distributed systems, Apache Airflow, Kafka, Spark, and Databricks. The role involves designing scalable data pipelines and supporting data scientists in deploying ML models on cloud and on-premises infrastructure.
The Data Engineer will design, build, and maintain reliable data ingestion and transformation pipelines using AWS and Databricks. The role involves developing data processing layers, ensuring data quality, and collaborating with cross-functional teams to deliver production-ready data solutions.
The Lead Data Engineer builds and maintains custom data ingestion and MLOps platforms using open-source technologies like Apache Airflow, Kafka, and Spark. The role involves designing scalable data pipelines on Databricks and supporting data scientists in deploying machine learning models at scale.
Data Engineer (contract, 5–7 years) in Monterrey designing scalable data models, building batch/real-time ETL/ELT ingestion pipelines, and developing data-driven applications and APIs using SQL, Python/Java/Scala, and data warehouses/lakes.
The Senior Data Engineer will design and maintain scalable ETL/ELT pipelines using Informatica and dbt to support enterprise analytics. The role involves collaborating with business stakeholders to build data models and ensure high-quality data integration across the organization.
About Immunai: Immunai is an AI-driven platform company focused on improving drug discovery and development by decoding the human immune system. We combine large-scale single cell immune data, advanced machine…
Data Engineer (Snowflake) on a managed services team, building and maintaining Snowflake-based ETL/ELT pipelines, optimizing query performance, and supporting enterprise data platforms using Snowflake, SQL, Python, and cloud platforms.
The Data Platform Engineer will lead the architecture, design, and evolution of an Enterprise Data Platform using technologies like Azure, Databricks, and Microsoft Fabric. The role focuses on building scalable data pipelines, establishing data governance, and driving platform modernization.
The Senior Backend Engineer designs and builds scalable backend services and cloud-native applications using Python and AWS. The role involves architecting system integrations, managing data pipelines, and providing technical mentorship to the engineering team.
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