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Staff Data Engineer building scalable data platforms and pipelines on AWS (Glue, Redshift, Athena, EMR) using Python, PySpark, and Scala for CommBank's Business Banking Technology team.
Sr. Consultant Machine Learning & Knowledge Graph Engineer Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive…
Builds cloud-native data platforms and analytical applications for genomic data at petabyte scale, turning statistical genetics methods into scalable, high-performance commercial products. Bridges bioinformatics scientists, cloud engineers, and product teams to deliver APIs, UIs, and interactive query interfaces for population-scale health research.
This role is a senior data engineering leadership position responsible for architecting and managing large-scale, high-throughput batch and real-time data pipelines. The candidate will lead a global team while utilizing technologies such as Apache Spark, Databricks, Scala, and Python to build robust data platforms.
The Lead Software Engineer will design, build, and maintain scalable data-intensive services and applications for financial indices using Python and AWS. This hands-on role involves leading technical architecture, mentoring team members, and ensuring high-quality software delivery through modern engineering practices.
Senior Data Engineer at Bank of America building enterprise-scale data platforms and integration solutions using Spark/Scala, Kafka, Hadoop, Starburst, cloud technologies, and Informatica.
Build and optimize high-traffic, real-time data services for Adobe Experience Platform using Java/Scala, Spark, and cloud-native tools to power personalized customer experiences.
The Senior Data Engineer leads the design and development of enterprise-scale data platforms and integration solutions using technologies like Spark, Scala, Kafka, and Hadoop. This role involves mentoring development teams, ensuring data quality and compliance, and delivering complex real-time and batch data pipelines within the banking domain.
Design and develop APIs with Python and FastAPI to expose data from the Gold Layer to internal consumers, integrating with data platforms and pipelines in a hybrid role in Málaga.
Staff Data Engineer owning pipeline architecture and platform health for a commodity trading platform, designing scalable ETL frameworks with Flink/Spark, Kafka, and cloud infrastructure using Kotlin, Python, and TypeScript.
Bluetab, an IBM Company. certificados ¡Great Place to Work & Best Work to Place! como una de las mejores compañías para trabajar. ¿Tiene las cualificaciones y habilidades adecuadas para este trabajo? Descúbralo a…
Staff Data Engineer designing and scaling real-time/analytical ETL pipelines for a fintech trading platform, bridging data and backend teams to optimize latency, throughput, and reliability while mentoring engineers and shaping long-term architecture.
Build and maintain scalable data pipelines and curated datasets for a modern Lakehouse and AI data platform, enabling reliable analytics and AI use cases at a global investment bank.
Senior Data Engineer at EY designing, building, and operating enterprise-scale AWS Lakehouse platforms using Spark, dbt, Iceberg, and QuickSight to deliver analytics, reporting, and AI-ready data solutions for clients.
Design and build scalable Azure data pipelines using Data Factory and Databricks, provisioning data from on-prem and external sources into a Lakehouse architecture for a global diagnostics company.
Senior Data Engineer building APIs with Python and FastAPI to expose data from a Gold Layer to internal consumers, integrating with data platforms and pipelines using SQL, in a hybrid role in Málaga.
The Principal Data Engineer will design and implement a scalable data platform using Snowflake and related technologies to support data governance and analytics. The role involves leading data strategy, optimizing ELT pipelines, and enabling AI adoption within an Agile environment.
Build and run a modern data-tech stack on Kubernetes, including a Lakehouse (Stackable) and event platform (Kafka), while automating deployments with GitOps and Ansible/Terraform.
Staff Data Engineer leading pipeline architecture and data infrastructure for a commodity trading platform, using Flink/Spark, Kafka, and cloud (AWS/GCP) with Kotlin, Python, and TypeScript.
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