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The Senior Data Engineer will design and maintain enterprise-scale data solutions for the financial sector using Python, PySpark, SQL, and Google BigQuery. This is a hybrid role based in Warsaw requiring collaboration on data pipelines and CI/CD processes.
The Data Engineer will migrate and modernize data processes to Google Cloud Platform, utilizing BigQuery, Dataform, and Python. The role involves designing data pipelines and collaborating with cross-functional teams to deliver scalable analytical solutions.
Designs and builds a greenfield enterprise data warehouse on Google BigQuery, consolidating fragmented systems (ERP, CRM, e-commerce, EDI, etc.) into a governed, decision-ready foundation for MRCOOL’s HVAC business. Focuses on ELT pipelines, data governance, AI enablement, and executive reporting.
Designs and implements data governance frameworks, metadata management, and data quality solutions on GCP, migrating on-premise environments to cloud-based platforms while supporting AI/ML initiatives for a telecom client.
The Senior Data Engineer will design data products and automate billing pipelines for an SVOD platform's financial transformation project using Python, SQL, GCP, Airflow, and Terraform.
The Data Engineer will design and maintain data pipelines and models using Google Cloud Platform and BigQuery to support business decision-making across Growth, Marketing, Product, and Finance teams.
Senior Data Engineer building and developing GCP data warehouses and datamarts using BigQuery, Python, and SQL while collaborating with architects and business stakeholders.
The Data Engineer will modernize and migrate data analytics processes using Google BigQuery, Dataform, and Python. The role involves designing scalable data pipelines and collaborating with engineering teams while based in Poland.
Sii Poland is hiring a Data Engineer to manage data migration and modernization projects using Google BigQuery, Dataform, and Python. The role involves collaborating with analytics teams to build scalable data solutions from their Warsaw office.
Build and optimize data pipelines on Google Cloud Platform using BigQuery and Dataform, supporting analytics modernization for a client’s platform.
Data Engineer working with Google BigQuery, Dataform, and Python to support migration and modernization of data and analytics processes, with monthly on-site presence in Warsaw.
The Data Engineer will modernize data and analytics workflows on Google Cloud Platform using BigQuery, Dataform, and Python. The role involves collaborating with teams and requires monthly visits to the client's office in Warsaw.
Data Engineer migrating and modernizing data and analytics processes using BigQuery, Dataform, SQL, and Python, with occasional on-site client work in Warsaw.
Mid/Senior Data Engineer at Xebia designing and maintaining scalable GCP/BigQuery data pipelines, building ETL/ELT frameworks, and supporting migration projects using Python, SQL, and orchestration tools like Airflow.
The Senior Data Engineer will design, build, and maintain scalable data pipelines and platforms using Python, PySpark, and GCP technologies. This role involves collaborating with cross-functional teams to automate data processes and implement modern software engineering practices.
Designs and builds cloud-based data platforms (warehouses, lakes) using Azure tools, ensuring data quality, governance, and seamless ETL pipelines while collaborating with stakeholders to modernize legacy systems and support AI/ML use cases in sectors like retail, manufacturing, and finance.
This Senior Data Engineer role involves building data-quality frameworks and high-throughput pipelines for fraud detection and AML systems within a European fintech company. The position requires deep domain expertise in transaction monitoring and strong Python skills to support automated decision engines.
Build and orchestrate production-grade data pipelines and Data Lake/DWH solutions on Google Cloud Platform using Python, SQL, BigQuery, and Airflow in a hybrid role based in Kraków.
Senior Data Engineer at The Codest, developing and automating tools for a major European e-commerce platform's Data Platform. Tech stack: Python (primary), JVM languages, GCP (BigQuery, Composer, Dataproc, Cloud Run), SQL, PySpark, Docker.
The Data Engineer will work on migrating and modernizing data and analytics processes using Google BigQuery, Dataform, and Python. The role involves collaborating with teams to improve data pipelines and implement best practices.
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