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Intelligenz IT is hiring a Senior Data Engineer in Poland to work directly with customers on backlog items, analysis, design, and end-to-end delivery of data solutions. The core technology is Google BigQuery, with Python and Looker used for analytics and reporting.
SoftServe is hiring a Senior Data Engineer in Poland to build scalable cloud-based data solutions on AWS using Databricks and PySpark. Day to day they develop batch and streaming pipelines with Spark and Delta Lake, optimize data platforms, and modernize existing pipelines end to end.
Senior Data Engineer designing and building modern data platforms using Microsoft Fabric on Azure. The role involves developing scalable solutions with PySpark and Data Lake, managing ETL/ELT processes, and mentoring junior team members.
Senior Data Engineer developing a data platform for pharmaceutical sales suggestions. The role involves designing Python modules, building AWS ETL pipelines, and migrating to a new CRM using AWS Glue, Athena, DynamoDB, and Lambda in an Agile international environment.
Senior Python Engineer designing and implementing scalable AI data platforms and RAG pipelines for a London-based investment management client. The role involves building LLM-based extraction systems and knowledge graphs while ensuring robust data governance in a regulated financial environment.
Senior Data Engineer building data processing and reporting solutions using Spark, Kafka, and SQL within an event-driven architecture and Agile environment in Gdańsk.
Sii Poland is hiring a Senior Data Engineer in Rzeszów to design, build, and maintain a scalable pharma data platform. Day to day, they implement Python-based data solutions, build robust pipelines, and support AWS migrations and integrations while collaborating in Agile teams.
SALESTUBE is hiring a Senior Data Engineer & Cloud Architect to design and build scalable Google Cloud data platforms — architecting secure, reliable ETL/ELT pipelines, standardizing data practices, mentoring the team, and advising stakeholders while staying hands-on with code.
Senior data engineer at ITDS Polska working for a client in the financial industry, converting experimental code into production-ready, high-performance PySpark/Spark-on-YARN data pipelines and integrating them with GCP. Kraków-based hybrid role.
Senior data engineer at ITDS Polska (hybrid, Kraków) turning experimental code into robust, production-scale data pipelines for a client that is a leader in big data and cloud integration. Core stack: PySpark/Spark, SQL, Hadoop/YARN on Google Cloud Platform.
Senior Data Engineer designing scalable data models and ETL processes using Azure Data Factory, Databricks, and Python. The role focuses on data quality, security, and dimensional modeling while collaborating with international teams to build BI platforms.
Senior Data Engineer at B. Braun developing, maintaining, and optimizing data pipelines for the company's Sustainability Data Foundation. Day-to-day work involves designing scalable data models and integrating SAP and sustainability data using Azure, Microsoft Fabric, Databricks, SQL, Python, and CI/CD practices.
Senior Data Engineer designing and implementing GenAI/LLM solutions on Google Cloud — building AI agents, optimizing prompts, and integrating models with backend systems while ensuring security and observability. Core stack: GCP, LangChain, MLOps.
Senior Data Engineer designing and building backend solutions for rating and limit management. The role involves leading data modeling and mapping across systems, collaborating with stakeholders, and leveraging AI to deliver scalable, compliant data solutions in a hybrid banking environment.
Senior Python/AI Data Engineer building production-grade RAG pipelines and AI-ready data foundations for a global investment management firm. The role focuses on hybrid search, LLM evaluation frameworks, and secure data retrieval using Python, PostgreSQL, and vector stores within a highly regulated financial environment.
Senior data engineer designing and managing large-scale cloud data infrastructure and pipelines using PySpark, Python, and SQL across Azure, Snowflake, and Databricks. The role emphasizes self-service tooling, data governance, and ETL/data lake principles, with Docker, Kubernetes, and Terraform valued.
Designs and optimizes cloud data platform architecture, translating business needs into scalable solutions while driving data quality and governance with stakeholders and engineering teams. Core stack: SQL, Python, Spark, GCP, Databricks, and Snowflake.
Let us introduce you the job offer by EY GDS Poland – a member of the global integrated service delivery center network by EY. The opportunity We are looking for a top‑notch technology savvy specialist willing to move…
Senior Data Engineer for a healthcare-domain project: designing large-scale cloud data infrastructure, ETL/data lake pipelines, and self-service tooling. Core stack includes Azure, Snowflake, Databricks, Python/PySpark, advanced SQL, Kafka streaming, Docker/Kubernetes, and Terraform for infrastructure as code.
Senior Data Engineer focused on building and optimizing data pipelines for sustainability reporting. Uses Azure, Databricks, Microsoft Fabric, SQL, and Python to design scalable data models and integrate data from SAP systems into a Medallion architecture.
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