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Data Engineer - Automation & Innovation Department
Build and maintain scalable data pipelines, automate ingestion from Kafka, MQ, SFTP, and databases, and optimize cloud-based processing in GCP using BigQuery, Dataflow, and Airflow.
Cloud Data Engineer - ETL & Data Lake Expert
Designs, builds, and scales cloud data pipelines and data lake platforms using ETL/ELT workflows, collaborating with analytics and data science teams.
Data Engineer Technical Leader (Relocation to Poland)
Lead a team to design and build scalable data pipelines and platforms using Spark/Scala, Airflow, and cloud tools, while mentoring engineers and ensuring regulatory compliance.
Senior Data Engineer | Hybrid, Databricks & Data Platform
Design and maintain data architectures, ETL pipelines, data warehouses, and data lakes using Databricks, Snowflake, Python, and SQL for Erste Bank Polska’s analytics solutions.
Remote Junior Data Engineer | Cloud & Data Lake
Builds and optimizes cloud data lakes and pipelines using Databricks and CI/CD, ensuring data quality and documentation for analytics.
Data Engineer — Azure & Fabric Data Platform
Builds and maintains Azure-based data pipelines using Microsoft Fabric, Data Lake, and Databricks to transform raw data into insights across finance, manufacturing, and sales.
Mid/Senior Data Engineer (Databricks)
Build and maintain scalable data pipelines and lakehouse architectures on Databricks, using SQL, Python, and dbt to deliver clean, governed data for clients in finance, government, and healthcare.
Senior Data Engineer (ADB + Python)
Senior Data Engineer builds and optimizes Spark applications on Azure/Databricks using Python, enforcing coding standards and collaborating with cross-functional teams to deliver scalable data pipelines.
Senior Data Engineer (Spark) @ Addepto
Build and optimize large-scale data pipelines for automotive and aerospace clients using Spark, Airflow, and cloud platforms to enable real-time analytics and ML-driven insights.
Architect/ Senior Data Engineer @ Scalo
Design and build scalable data pipelines, Data Lakes, and DWHs using BigQuery, Kafka, Airflow, and Kubernetes, with exposure to GenAI integrations.
Senior Databricks Data Engineer
Build and optimize large-scale data pipelines on Databricks using Python and cloud-native tools, ensuring scalable, secure data processing for enterprise clients.
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.
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 (Spark) @ Addepto
Build and maintain scalable data pipelines for large enterprises using Spark, Cloudera, and Airflow to process streaming and batch automotive, aerospace, and telecom data.
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.
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 (AI/ML)
Build and automate predictive models, ETL pipelines, and monitoring systems using Python, Databricks, and Azure to power AI-driven marketing analytics and campaign optimization.
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 – Azure Databricks
Build and optimize scalable HR data pipelines on Azure Databricks using Spark, SQL, and DevOps practices to power analytics and employee-facing products.