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Senior Data Engineer (Python | Databricks | Cloud) @ 1dea
Build and maintain scalable cloud data pipelines and architectures using Python, Databricks, and AWS/Azure/GCP, following DevOps practices and the full software development lifecycle.
Azure Databricks Data Engineer(Cracow/Wroclaw)
Designs and builds scalable HR data pipelines and warehouses using Azure Databricks, ADF, and Spark, automating employee lifecycle analytics with Python/Scala and SQL.
Azure Data Engineer: Microsoft Fabric Expert
Build and maintain large-scale data pipelines using Azure, Microsoft Fabric, Data Lake, and Databricks to power analytics and applications.
Senior Data Engineer (Databricks | DataMarts | Cloud)
Designs and builds scalable data pipelines using Databricks, Unity Catalog, and cloud platforms (Azure/AWS/GCP) to process structured, semi-structured, and unstructured data.
Azure Data Engineer — Microsoft Fabric Specialist
Design and build scalable data platforms on Azure, integrating enterprise sources with Microsoft Fabric, Databricks, and ETL/ELT pipelines to enable analytics and reporting.
Senior Data Engineer: Microsoft Fabric & Azure
Designs and builds enterprise data platforms using Microsoft Fabric and Azure services, focusing on PySpark, ETL/ELT pipelines, and scalable analytics solutions.
Senior Data Engineer (Azure | Databricks) @ 1dea
Build and optimize scalable data pipelines in Azure and Databricks, focusing on ETL workflows, real-time processing, and cloud migrations.
Senior Data Engineer – ETL/ELT, Data Lake, BigQuery
Builds and maintains ETL/ELT pipelines for a data lake and warehouse using Oracle, PostgreSQL, BigQuery, and Informatica PowerCenter.
Cloud Data Engineer (AWS / Terraform / Python)
Design and automate AWS-based data infrastructure using Terraform and Python, building scalable pipelines for ingestion, transformation, and validation.
Data Engineer Intern - BDAA Big Data - TalentBank 2026
Data Engineer Intern builds and maintains cloud-based ETL pipelines and data pipelines in Google Cloud to feed Commerzbank’s Big Data cluster, ensuring data quality and integrity for analytics and data science teams.
Data Engineer with Databricks (Aviation Industry)
Build and maintain big-data pipelines for European air-traffic systems using Databricks, Spark, Kafka, and Oracle; ensure data quality and industrialize production environments.
Data Engineer: Microsoft Fabric & Azure Data Platform
Designs and builds enterprise data pipelines on Azure using Microsoft Fabric, Data Lake, and Databricks to power analytics and reporting.
Junior Data Engineer — Python, Big Data, Hybrid
Builds and maintains large-scale data pipelines using Hive, Spark, and Kafka for end-to-end data solutions in a global team.
Senior Data Engineer: Microsoft Fabric on Azure
Design and build modern data platforms on Microsoft Fabric and Azure, integrating enterprise data sources and enabling advanced analytics for enterprise clients.
Cloud Data Engineer (f/m/x)
Build and maintain scalable cloud data pipelines and platforms using Azure/AWS, PySpark, and SQL to process large datasets for analytics and ML teams.
Senior Data Engineer (Azure | Databricks)
Senior Data Engineer builds and optimizes scalable ETL pipelines on Azure and Databricks, migrating legacy data to cloud Data Lake and ensuring Data Governance.
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.