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Data Engineer (m/f)
Builds data pipelines, ETL/ELT processes, and full-stack web apps in Python/SQL with React or Angular; maintains time-series databases and Databricks/Spark clusters; sets up real-time monitoring and dashboards.
Regular Data Engineer | Inetum
Build and maintain scalable data platforms using Microsoft Fabric, Azure, and PySpark to turn enterprise data into actionable insights across finance, sales, and operations.
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.
Data Engineer (Azure) @ Addepto
Build and maintain Azure data pipelines and backend services that power an AI-powered chatbot, using Python, SQL, and cloud-native tools.
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.
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 Azure Data Engineer
Senior Azure Data Engineer designs and builds scalable data pipelines using Azure Data Factory, Databricks, and Synapse Analytics to support real-time and batch processing for global IT systems.
Data Engineer / BI Developer
Builds and optimizes BI data models, ETL pipelines, and dashboards in Power BI, Qlik Sense, and Snowflake for a European manufacturing company.
Junior People Data Engineer
Build and maintain HR data pipelines in Microsoft Fabric, transforming raw HR data into clean, analytics-ready datasets using SQL, Python, and PySpark.
(Senior) Data Engineer (Kafka)
Build and maintain scalable, event-driven data pipelines in AWS using Kafka (MSK), AWS Glue, Python and PySpark to power Aviva’s enterprise Operational Data Store and ensure trusted business data.
Senior Data Engineer: Build Scalable Pipelines & AI Tools
Senior Data Engineer builds scalable data pipelines and AI tools using Databricks, PySpark, and Azure Data Factory to process batch and streaming data.
Cloud Data Engineer (AWS)
Designs and builds scalable AWS-based data pipelines using PySpark and AWS Glue to process and transform business data into reliable cloud architectures.
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.
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.
Middle Data Engineer Krakow
Build and maintain scalable ETL/ELT pipelines in AWS/Azure/GCP using Python, Spark, and SQL to power analytics and ML for global clients.
Middle Data Engineer Wroclaw
Build and maintain scalable ETL/ELT pipelines in AWS/Azure/GCP using Python, Spark, and SQL to power analytics and ML for global clients.
Regular Data Engineer | Inetum
Build and maintain scalable data pipelines on Azure using Microsoft Fabric, Databricks, and ETL/ELT tools to support analytics and reporting across finance, sales, and operations.
Senior Data Engineer - Databricks, Azure & AI Pipelines
Designs and builds scalable data pipelines on Databricks and Azure, using Delta Tables and medallion architecture to integrate and process data from multiple sources.
Senior Data Engineering Leader - Azure AI Pipelines
Lead the design and implementation of scalable Azure-based ELT pipelines and data models to power McCormick’s AI-driven recommendations and analytics initiatives.