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Data Solutions Engineer (rola projektowa)
Build and maintain cloud-based data pipelines in Azure using Databricks, PySpark, and Python, collaborating on end-to-end data solutions for enterprise clients.
Data Platform Engineer/Lakehouse Architecture
Design and build a cloud-based data lakehouse that ingests engineering and security tool data, transforms it through medallion layers, and serves analytics dashboards and AI agents.
Data Engineering - Global Banking and Markets -Warsaw-Vice President
Build and lead cloud-native data pipelines for regulatory reporting in investment banking, migrating legacy systems to AWS and integrating AI-driven workflows using Python, Kafka, and Kubernetes.
Senior Data Engineer (Databricks) @ CLOUDFIDE SP. Z.O.O
Build and scale cloud data platforms for global clients using Azure, Databricks, Spark, and CI/CD pipelines, designing ETL/ELT architectures and data models.
Data Engineer (Microsoft Fabric) @ Mindbox Sp. z o.o.
Design and build ETL/ELT pipelines and data models using Microsoft Fabric (Data Factory, Lakehouse, Synapse) and Power BI to deliver enterprise reporting solutions.
Senior AI Data Engineer (AI/Data Platform, Cloud Technologies, Python)
Design and build scalable cloud-native AI data platforms and pipelines using Python, Spark, and Kafka to power machine learning and GenAI initiatives for enterprise clients.
Senior Data Engineer (f/m/x) @ Sii Polska
Build and maintain Azure-based data pipelines and lakehouse solutions using Fabric, Synapse, and Python to transform raw data into usable assets for clients.
Senior AI/Data Engineer (Snowflake, GenAI)
Build and operate Snowflake-based data platforms that power GenAI and advanced AI use cases at enterprise scale, integrating vector search, RAG, and agent workflows.
Senior/Architect Data Engineer (Microsoft Fabric) | I
Designs and builds scalable Microsoft Fabric-based data platforms, defining architecture standards, governance, and integration for Azure ecosystems.
Data Engineer (Senior) @ Alterdata.io sp. z o.o.
Senior Data Engineer designs and builds cloud-based data pipelines, warehouses, and ETL/ELT workflows using GCP, Azure, Snowflake, and dbt to support BI and AI systems.
Azure Databricks Data Engineer | Lakehouse & ETL Specialist
Designs and builds scalable data pipelines and Lakehouse architectures using Azure Databricks, Spark, and Azure Data Factory to integrate diverse data sources.
Remote Azure Databricks Data Engineer: Lakehouse & ETL
Designs and builds Azure Databricks-based data pipelines and Lakehouse architectures using Spark and Delta Lake, integrating with SQL Server for analytics and BI.
Azure Databricks Data Engineer - Lakehouse & PySpark Remote
Build and optimize Azure Databricks-based data pipelines and Lakehouse architectures using PySpark and Azure Data Factory to power scalable cloud analytics and BI reporting.
Data Engineer: Lakehouse & AI Platform Builder
Builds and maintains scalable data pipelines and lakehouse infrastructure for AI/ML workloads using Python, Java, SQL, and Spark.
Senior Azure Data Engineer — Databricks Lakehouse
Senior Data Engineer builds and optimizes Databricks Lakehouse pipelines in Azure, using PySpark to create scalable data models and incremental loads for large datasets.
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.
Hybrid Data Engineer – Lakehouse & Cloud Analytics
Builds and optimizes ETL pipelines for a lakehouse architecture using Python/Spark, SQL, and cloud tools to support enterprise-scale data workloads in Commercial Risk Solutions.
Senior Data Engineer - Lakehouse Platform Architect
Designs and builds scalable data pipelines and lakehouse architecture for enterprise analytics, while mentoring engineers and enforcing data governance and security.
Senior AI & Data Engineer (Python + AI)
Senior AI & Data Engineer builds AI-powered solutions using Python, LLMs, and RAG pipelines, integrating them into production systems with Azure services.
Lead Data Engineer — Lakehouse & BI Platform
Designs and builds a Lakehouse data platform and BI pipelines using Databricks, Spark, and Power BI to power global analytics at a logistics company.