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Manages mechanical component specifications and PLM/PDM data for global engineering teams, ensuring standardized documentation and high-quality data alignment with suppliers and factories.
Autoliv's primary goal is to Save More Lives. Our products never get a second chance. This is why we can never compromise on quality. We are working to increase vehicle safety by developing seatbelts, airbags and…
Builds SQL/dbt data models and Power BI dashboards for clients, focusing on dimensional modeling and translating analytics requirements into insights in a hybrid team.
Senior Backend Engineer for a Customer Data Platform (CDP) team, building AI-driven event pipelines, Elasticsearch-based search/query layers, and sandboxed customer logic execution. Core stack: Node.js/TypeScript, Kafka, PostgreSQL, Kubernetes, and Claude Code AI agents for development.
Designs and builds Azure-based data pipelines in Databricks and Microsoft Fabric using PySpark and Python, ensuring robust data products.
Builds and scales a production-grade ML/MLOps platform for 300+ data scientists across 60+ teams, focusing on Databricks MLOps and AWS SageMaker infrastructure.
Builds and maintains automated data pipelines to ingest, transform, and deliver data from sources like Kafka/S3/BigQuery, enabling teams to derive insights with SQL/Python and Terraform-managed infrastructure.
Designs and optimizes ETL pipelines and real-time data processing for customer master data integration, using GoCore Platform tools.
Designs and builds scalable GCP-based data pipelines using BigQuery and Airflow, with CI/CD for reliability.
Maintains and refines classified wargaming databases for NATO training, ensuring data accuracy and collaborating with planners under NATO Secret clearance.
Mid-level Data Engineer specializing in Google Cloud Platform (GCP) to design, build, and maintain scalable data pipelines using BigQuery, Apache Spark, and tools like Terraform and Airflow. Core focus on Big Data and Data Science infrastructure.
Builds and maintains data pipelines for marketing systems, integrating BigQuery, ClickHouse, and external tools to support GTM and cross-functional teams.
Opis projektu: Poszukujemy Data Engineera do projektu związanego z rozwojem i migracją warstwy danych AML w banku. Zakres obejmuje centralizację danych z wielu źródeł, migrację istniejących procesów ETL oraz…
Designs and operates real-time and batch data pipelines on Azure to power analytics and reporting for HEINEKEN’s Connected Brewery platform.
Builds and maintains GCP-based data pipelines (BigQuery, Kafka, Airflow) for fintech analytics, compliance, and AI/ML data prep, ensuring quality, scalability, and governance in a regulated environment.
Designs and builds scalable Azure data pipelines and lakes using Databricks, Data Factory, Synapse, and Fabric to power analytics and insights.
Build and maintain large-scale data pipelines and ML platforms using Spark, Python, and Airflow while ensuring reliability and observability.
Builds and maintains a self-service ETL/ELT orchestration platform for Nordstrom, abstracting big data complexity (Kafka, S3, GCS, BigQuery, Postgres) to enable data scientists/analysts to extract insights efficiently. Focuses on cloud infrastructure (GCP/AWS), Terraform, Airflow, and data governance tools like dbt and Kafka.
Designs and maintains scalable data pipelines on GCP using BigQuery, ensuring performance and reliability while collaborating with analytics, BI, and product teams to deliver data solutions.
Designs and maintains production data pipelines for analytics, compliance, and AI-ready platforms at a fintech firm, focusing on ingestion, transformation, and data quality in a hybrid model.
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