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The Senior Data Engineer will design and maintain scalable data pipelines and models using Spark, Kafka, Delta Lake, and Hadoop. The role involves building real-time data flows on Azure and managing data lake governance.
The Senior Manager of Data Engineering will lead a team to design and maintain scalable ETL/ELT pipelines and data warehouse models. The role focuses on technical strategy, data governance, and cross-functional collaboration using Python, SQL, and cloud-based data platforms.
The Senior Analytics Engineer will build and optimize data pipelines using dbt, Airflow, and ELT practices while developing Power BI dashboards. The role requires extensive experience in data modeling and Snowflake to support analytics and reporting.
The Analytics Engineer will build and maintain data pipelines using dbt, Python, and Airflow while developing Power BI dashboards and data models. The role requires extensive experience in SQL, cloud data warehousing, and dimensional modeling to support business reporting and data quality.
Junior Data Engineer operating and supporting GCP-based data pipelines, monitoring Cloud Composer/Airflow orchestrations, and resolving production incidents to ensure data reliability.
The Data Platform Engineer will design and build production-grade data pipelines and systems to support analytics and AI initiatives. The role involves managing core platforms like Snowflake, dbt, and Dagster while driving data reliability and self-service tooling for the organization.
The Junior Data Engineer will build and maintain data pipelines on Google Cloud Platform, using Cloud Composer (Airflow) to monitor data flows and ensure platform reliability. The role involves collaborating with cross-functional teams to support analytics and data science initiatives.
The Senior Data Engineer will design and maintain scalable data pipelines, ETL/ELT processes, and lakehouse architectures on Azure to support healthcare analytics. The role requires expertise in Python, SQL, and big data technologies like Spark and Kafka to ensure high-performance data processing and compliance.
Builds and maintains scalable data pipelines, ETL/ELT processes, and cloud-based data solutions for an energy company’s modern data platform, ensuring reliability, performance, and cross-functional collaboration.
Business Analyst at an e-commerce house of brands in Tel Aviv, responsible for deep funnel and KPI analysis, A/B testing evaluation, and driving an AI-first analytics approach using SQL, Tableau, BigQuery, and Databricks.
Tech Lead Data Engineering role on client site, designing and industrializing GCP-based data pipelines, infrastructure (Terraform), orchestration (Airflow), and visualization (Streamlit) end-to-end.
Full Stack engineer building a modern data platform (ingestion, processing, governance) on AWS/GCP with Kubernetes, Airflow, React/Angular/Vue front-ends, and Python/Java back-ends.
Build and optimize an embedded analytics stack for livestock performance, from data ingestion to OLAP modeling and BI dashboards.
Data Engineer designing and developing ETL/ELT pipelines, setting up data warehouses and lakes, and maintaining data infrastructure using Kafka, DBT, Spark, Snowflake, GCP, Azure, Kubernetes, and Airflow.
Data engineering consultant at Zenika (ESN) designing and maintaining data pipelines, evolving architectures to cloud (GCP/Databricks), mentoring clients, and participating in discovery phases—using Python, SQL, DBT, Airflow, Spark, and Terraform.
Design and develop scalable data pipelines and dashboards using Airflow, dbt, and GCP to support business intelligence and decision-making at a payment company.
Senior Data Engineer joining a 10-person BI team at HiPay to design, build, and optimize data pipelines and data-viz components on GCP (BigQuery, Cloud Run) using Python, SQL, Airflow, dbt, and Looker.
Design, develop, and optimize AWS data pipelines using services like Glue, S3, Redshift, Athena, EMR, and Kinesis, with SQL and PySpark, to deliver reliable datasets to analysts and scientists.
Designs data pipelines and dashboards to transform and analyze client data in Data Lake/Warehouse environments using SQL, Python, and Power BI.
Senior Cloud/Airflow DevOps engineer developing cloud infrastructure services (IaaS/PaaS) and contributing to the Group's global private cloud using Python, Airflow, and open-source tools.
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