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Senior Data Engineer (Azure Data Factory) @ Addepto
Design and maintain Azure Data Factory pipelines, orchestrating ETL/ELT workflows and optimizing warehouse layers (Azure SQL/Synapse) for enterprise clients.
Remote Snowflake Data Engineer — DBT & Data Vault Expert
Design and build Snowflake data models and ETL pipelines using dbt and Data Vault, then optimize SQL for reliable analytics in a fully remote role.
Data Engineering Lead/ Tech Lead (Snowflake)
Leads the design and delivery of large-scale data solutions using Snowflake, DBT, and Data Vault 2.0, defining enterprise architectures for analytics and AI initiatives.
Databricks Data Engineer – GenAI & Lakehouse Innovator
Build and maintain scalable data pipelines and Lakehouse architectures using Databricks, PySpark, and Delta Lake to power analytics and GenAI solutions for enterprise clients.
Senior Data Engineer — Snowflake, Data Vault & Cloud Automation
Senior Data Engineer builds and optimizes cloud data pipelines, implements Data Vault models, and manages Snowflake RBAC for a retail client using Snowflake, Python, DBT, and Azure/AWS.
Databricks Data Engineer (ICH Europe)
Build and maintain scalable data pipelines and Lakehouse models on Databricks, using PySpark, Delta Lake, and Medallion architecture to deliver analytics-ready datasets for enterprise clients.
CONSULTANT - DATA ENGINEERING & AI DATA PRODUCTS
Design and build scalable data pipelines and AI-ready platforms using Python, SQL, Snowflake, and cloud tools to deliver analytics and GenAI solutions for clients.
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.
Data Engineer (Azure Data Factory) @ Addepto
Design and maintain Azure Data Factory pipelines for ETL/ELT, orchestrating data flows between Azure SQL/Synapse and other sources while optimizing performance and collaborating with stakeholders.
Data Engineer – Azure Data Platform @ Antal
Design and maintain Azure-based ETL/ELT pipelines using Data Factory and Microsoft Fabric, build secure data models in Power BI, and support analytics for banking clients.
Databricks Data Engineer (ICH Europe)
Build and maintain scalable data pipelines and Lakehouse architectures using Databricks, PySpark, and Delta Lake to deliver analytics-ready datasets for GenAI and business use cases.
Senior Data Engineer (dbt focus)
Design and build enterprise-grade dbt pipelines and data warehouses using SQL, Jinja, and Kimball/Data Vault modelling to deliver clean, analytics-ready datasets for clients.
Data engineer (senior) - Nykredit
Senior data engineer builds and optimizes ETL pipelines and data warehousing solutions for Credit and ESG systems using SQL, Informatica PowerCenter, and Oracle.
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.
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.
Data Engineer with German
Data Engineer builds and maintains Snowflake-based data pipelines and models for a Swiss mobility client, using dbt, SQL, and Python while collaborating with German-speaking teams.
Senior Data Engineer
Senior Data Engineer builds and transforms financial data pipelines for credit compliance systems, migrating legacy warehouses to Databricks and enabling analytics dashboards.
Data Engineer (ETL/GCP) — Hybrid, Pipelines
Build and optimize ETL/ELT pipelines in Google Cloud, transforming raw data into reliable datasets for analytics using BigQuery and Data Vault modeling.