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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.
The Azure Data Engineer will design and implement data analytics and warehouse solutions using Azure Data Factory, Databricks, and Kafka. This role requires 8-10 years of experience and involves working in an Agile environment with a hybrid schedule in Poland.
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.
Sii is hiring a Junior Data Engineer to build and maintain data pipelines using Microsoft Fabric and Azure Data Factory. The role involves collaborating with a team to translate business requirements into effective cloud-based data solutions.
The Staff Big Data Engineer will lead a data migration project from on-premise systems to AWS, architecting scalable pipelines using Python, Spark, and Airflow. The role involves running Spark jobs on Kubernetes and mentoring senior engineering staff.
This Data Engineer role involves designing and implementing data pipelines using Microsoft Fabric, PySpark, and SQL to support analytics and data integration. The position requires experience with cloud data platforms and a focus on data quality, CI/CD, and performance optimization.
The Junior Data Engineer will optimize KDB+ processes and build analytics layers and APIs to support trading and AI/ML applications. The role involves collaborating with global teams to prepare data for model training and ensure system resilience.
The Data Engineer will work on a financial infrastructure project, assessing existing applications and collaborating with architects to design target data architectures and models using Python and PySpark.
The Senior Data Engineer will build and evolve modern data platforms using cloud technologies and large-scale data processing techniques. The role involves collaborating with cross-functional teams to deliver reliable data-driven solutions.
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