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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 Junior Data Engineer will develop and maintain data pipelines using Microsoft Fabric and Azure Data Factory. The role involves collaborating on data solutions, troubleshooting processes, and documenting technical specifications.
The Senior BI/Data Engineer will manage ETL migration and modernization, build data models and Power BI reports, and maintain data pipelines within the Azure environment.
The Senior Data Engineer will develop and maintain a central data and analytics platform for the public sector, focusing on BI, data warehousing, integration, and AI projects using OpenShift.
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.
The Senior Snowflake Data Engineer will design and optimize scalable data pipelines across multi-cloud environments to support AI initiatives in the pharmaceutical industry. The role involves building data models, ensuring data governance, and maintaining infrastructure using tools like Snowflake, DBT, Python, and Terraform.
The Data Engineer will design and implement data pipelines and PySpark notebooks within Microsoft Fabric for an insurance industry client. The role focuses on data integration, quality validation, and performance optimization while adhering to strict security and privacy standards.
Senior Data Engineer building and optimizing ETL/ELT pipelines using Snowflake and dbt for client projects across various sectors, collaborating with analysts in a distributed team.
Builds scalable data pipelines and infrastructure for an e-commerce client using Python, JVM, PySpark, and SQL to automate tooling and support data-driven products.
Builds and deploys ML models for business use, focusing on Python/TensorFlow, while collaborating in a remote-first IT company based in Kraków.
Design and deploy product ranking algorithms and ML models for e-commerce search, using Python and TensorFlow in a remote-first environment based in Kraków.
Develop end-to-end data solutions and data processing components for large-scale data lake pipelines serving a global social media client, while collaborating with international cross-functional teams.
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 Platform Engineer will support and standardize data pipelines for biological research, helping scientific teams utilize the Omics Workbench platform. The role involves optimizing cloud infrastructure and supporting AI/ML-assisted development workflows for global biopharma projects.
Senior Data Engineer building data platforms for industrial and manufacturing clients, handling full-cycle delivery from needs analysis and architecture to implementation using Python and Apache Spark.
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.
Lead Data Engineer designing and implementing complex data engineering solutions for enterprise clients, focusing on data warehouses, data lakes, and advanced ETL/ELT patterns across cloud data platforms.
Migrates and modernizes ETL processes while building data models in Azure, leveraging Python, SQL, and Power BI for hybrid work (1x/week in Warsaw).
Data Engineer joining a Warsaw-based team to modernize an investment bank's backend data processing platform, building scalable pipelines with Scala, Java, and Apache Spark on an internal cloud in a hybrid model.
Design and maintain data solutions in Microsoft Fabric, building architectures with OneLake, Lakehouse, Data Warehouse and Data Factory, implementing Medallion architecture and star models using PySpark, T-SQL, and Delta Lake.
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