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Hands-on senior data platform engineer at a consultancy, designing and building cloud-native data platforms and real-time pipelines using Databricks, Snowflake, AWS/GCP, Spark, Kafka, and Airflow for enterprise clients.
Builds and maintains scalable data pipelines, lakehouse architectures, and cloud-based data platforms for analytics, reporting, and ML, ensuring data quality, security, and performance in a hybrid Barcelona setting.
Designs and maintains scalable data pipelines for Mercedes-Benz’s Aftersales pricing analytics, collaborating with data scientists to ensure data quality and integration in AWS cloud environments.
For an International Institution, we are looking for an experienced Senior Data Engineer preferably with Azure experience. As Senior Data Engineer, you work with the Cloud Architect, Data Architect, Solution Engineer…
¡Bienvenido/a a FCC Medio Ambiente! FCC Medio Ambiente es la empresa líder del sector medioambiental en España, referente en la gestión de servicios públicos de recogida de residuos, mantenimiento y conservación de…
Develop and deploy ML models for risk scoring and threat intelligence on a cybersecurity ratings platform, using Python, ML frameworks like scikit-learn/XGBoost/PyTorch, and cloud-based data pipelines.
Machine Learning Engineer at Manulife designing, building, and operating ML/AI platforms and pipelines from experimentation to production at scale, using Python, CI/CD tools, Docker/Kubernetes, Terraform, and Azure cloud services.
Builds and optimizes ML platforms, data-driven search systems, and cloud migrations with mentorship; works with clients like IKEA, ProRail, and Bol.com.
Data Engineer at an IT consultancy placed on varied client projects (mobility, energy, finance), handling data architecture, ETL/ELT, and real-time analytics using Python/Java/Scala/Rust, SQL, cloud platforms, and big data tools like Databricks and Snowflake.
Data Engineer at a Dutch ML/data engineering consultancy running a 2-year development program; you'll work on diverse client projects using Python, Scala, Spark, Kafka, Docker, Kubernetes, and cloud platforms (GCP, Azure, AWS).
Builds and maintains scalable ETL/ELT pipelines to transform raw data into actionable insights for analytics and business teams, focusing on SQL optimization, data quality, and cloud-based data infrastructure.
A Scala backend engineer who owns event-driven services end-to-end, building reliable ecommerce platforms with Kafka, Docker, Kubernetes, and Azure in Utrecht.
An 18-month contract Azure Data Engineer based on-site in Singapore, designing and maintaining scalable data pipelines on Azure (Data Factory, Synapse, Databricks), implementing ETL processes, and collaborating with business and analytics teams.
Data Engineer designing, building and maintaining scalable data pipelines, data warehouses and cloud-based data platforms on AWS using SQL, Oracle PL/SQL and Python to support analytics and business decision-making.
Build and maintain Samsara’s petabyte-scale data lake and distributed compute platform, designing ingestion pipelines, lakehouse infrastructure, and internal tooling to power analytics and AI across the company.
eBay is seeking a Senior Data Engineer to design and develop scalable real-time and batch data pipelines. The role involves utilizing technologies like Kafka, Spark, Flink, Databricks, and AWS to build robust data infrastructure and ensure high-fidelity data quality.
Data Engineer building scalable real-time and batch data pipelines using Kafka, Spark, Flink, Databricks, Airflow, dbt, and AWS to power analytics and personalization across eBay's global ecommerce marketplace.
Design, build, and operationalize scalable data processing systems on Google Cloud Platform, turning raw data into actionable insights using Python/Scala/Java, BigQuery, and ELT approaches.
The Data Architect will design, build, secure, and monitor real-time and batch data processing systems using Google Cloud Platform services. The role focuses on creating scalable and reliable data pipelines to transform raw data into actionable business insights.
Design and operate scalable, secure data processing systems on GCP, building large-scale batch and real-time ELT pipelines with BigQuery and Dataflow using Scala, Java, or Python.
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