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Staff Cyber Security Engineer – AI Data Protection at GE HealthCare
Owns and secures GE HealthCare’s AI Data Loss Prevention platform, engineering DLP policies and automation to protect AI-related data across cloud, endpoints, and networks while enabling responsible AI use.
Data Engineer with Microsoft Fabric (f/m/x)
Build and maintain enterprise data platforms using Microsoft Fabric, Azure Data Lake, and PySpark to integrate financial, sales, and operational data for analytics and reporting.
Infrastructure Data Engineer @ Mindbox Sp. z o.o.
Build and secure an Azure-based data lake and analytics platform for cybersecurity, using IaC (Terraform), Kubernetes, Databricks, and monitoring tools.
Senior Data Engineer (M/F/D)
Senior Data Engineer builds scalable Lakehouse architectures and ETL/ELT pipelines using Databricks, Spark, and cloud services to turn logistics data into BI insights and support analytics across Azure, AWS, or GCP.
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.
Senior / Mid Data Engineer (Data & AI Factory), Permanent contract
Build and maintain data pipelines, AI models, and transformations using Python, GCP, Dataiku, and SQL to turn raw data into business insights for enterprise clients.
Senior Data Engineer On-Premises Data Platforms @ Jacobs
Design, build, and maintain enterprise-scale data pipelines in on-premises and hybrid environments, integrating data from databases, legacy systems, and APIs using SQL, Python, Spark, and ETL/ELT tools.
System & Data Engineer (Linux / SQL Area)
Maintains and develops Linux/Windows servers, databases, and real-time data pipelines using SQL, PostgreSQL, Kafka, and Flink to support HR analytics and IoT integrations.
Senior Data Engineer (M/F/D)
Design and build scalable Lakehouse architectures (Bronze/Silver/Gold) using Databricks and Delta Lake to transform logistics data into BI insights, optimizing ETL/ELT pipelines with PySpark and Azure/AWS/GCP services.
Senior Data Engineer On-Premises Data Platforms
Design and build enterprise-scale on-premises and hybrid data pipelines, ETL/ELT processes, and data warehouses using SQL, Spark, Hadoop, and orchestration tools.
System & Data Engineer (Linux / SQL)
Maintains and scales Linux/Windows servers, databases (PostgreSQL, MSSQL, etc.), and real-time data pipelines (Kafka, Flink) while building data warehouses and IoT integrations.
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.
Junior Support Data Engineer
Junior role assisting in building and maintaining a modern cloud-based data platform, working with SQL, scripting, and DataOps practices under mentorship.
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.
Data Engineer (K/M)
Builds and maintains dentsu’s Google Cloud-based data platform, writing Python pipelines in Airflow, integrating marketing and semi-structured data, and modeling in BigQuery for analytics and reporting.
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.
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.
Azure Data Engineer
Design and build scalable HR data pipelines on Azure Databricks and ADF, focusing on automation, quality, and observability for employee lifecycle solutions.
Azure Data Engineer
Design and build scalable Azure Databricks and Data Factory pipelines for HR analytics, using Python/Scala and Spark to automate data workflows and ensure quality.