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Data Engineer (all genders)
Build and maintain Mettler Toledo’s data platform, creating scalable pipelines and ensuring high-quality data flows for analytics and AI/ML using Databricks, Snowflake, and Python.
Senior Data Engineer @ Scalo
Build and maintain data pipelines and warehouses using Oracle, PostgreSQL, BigQuery, Informatica PowerCenter, Kafka, and Python to feed analytics and ML workloads.
Senior Data Engineer @ Vatix
Own and evolve Vatix’s AWS-based data warehouse (Redshift, Postgres RDS) and pipelines that power real-time customer dashboards, while setting the technical direction for data engineering and integrating third-party systems.
Data Engineer (Databricks) @ Addepto
Build and optimize scalable data pipelines using Databricks, Spark, and Azure to power AI/ML solutions for global enterprises across aerospace, energy, and automotive sectors.
Lead Data Architect & Pipelines Engineer
Lead the design and development of data architectures and pipelines for a leading spirits company, ensuring data quality and mentoring junior engineers.
CLOUD DATA ENGINEER (AWS)
Design and build scalable AWS-based data pipelines using PySpark and AWS Glue, then monitor and optimize them for performance and reliability.
Senior Data Engineer – Databricks
Build and optimize cloud-based data platforms using Databricks, SQL, Python, and cloud data warehouses to enable data-driven decisions for global clients.
Senior Python Data Engineer
Senior Python Data Engineer builds and maintains scalable data pipelines and models for regulatory reporting in finance, using Python, Spark, and Databricks to process high-volume batch and streaming data.
Data engineer (senior) - Nykredit
Senior data engineer builds and optimizes ETL pipelines and data warehousing solutions for Credit and ESG systems using SQL, Informatica PowerCenter, and Oracle.
Security Management - Data Engineer
Design and maintain Azure-based security data pipelines, ETL processes, and analytics platforms to centralize and secure enterprise data across multi-cloud environments.
Data Engineer (ETL/GCP)
Build and optimize ETL/ELT pipelines in Google Cloud, transforming raw data into reliable datasets for analytics and reporting using BigQuery, Data Vault, and Airflow.
Senior Data Engineer: Data Lake & Warehouse Architect
Designs and builds scalable data lake and warehouse solutions using SQL, Python, and cloud tools like Google Cloud Platform and Informatica Power Center.
Data Engineer with Snowflake (AI&Data)
Build and maintain scalable data pipelines and modern data platforms (Snowflake, cloud) to support analytics and AI use cases for international clients.
Senior Data Engineer with German
Senior Data Engineer builds and maintains cloud-based data platforms using Azure/AWS, SQL, Python, and PySpark to enable data-driven decisions for global clients.
Senior Data Engineer with German
Senior Data Engineer builds cloud-based data platforms (Azure/AWS) using SQL, Python, PySpark, and modern warehousing tools to enable data-driven decisions for global clients.
Data Engineer, Investment Services
Build and maintain high-throughput data pipelines in Databricks and AWS to ingest, normalize, and enrich financial and alternative data for AI/ML models.
Google Cloud Data Engineer
Design and build scalable data pipelines and warehouses on Google Cloud Platform using BigQuery, SQL, and Python to enable data-driven decisions for global clients.
Data Engineer (Microsoft Fabric)
Build scalable data pipelines and analytics platforms using Microsoft Fabric, Azure, and PySpark to transform enterprise data into actionable insights across finance, sales, and operations.
Data Engineer, Investment Services
Build and maintain high-throughput data pipelines in Databricks and AWS to ingest, normalize, and enrich financial and alternative data for AI-driven investment workflows.
Data Engineer (all genders)
Designs and maintains scalable data pipelines and a central data platform using Databricks, Snowflake, and Python to power analytics and AI/ML across the organization.