Oferty dla Data praca Polska

07.02.2026 | Pełny etat | Wrocław | UPVANTA SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄDatabricks Data Engineer (m/k/n) Miejsce pracy Wrocław Technologies we use Expected SQL PySpark Python Azure AWS Google Cloud Platform Your responsibilities Designing and developing Data Engineering solutions Building and maintaining ETL/ELT processes Working with large volumes of data

07.02.2026 | Pełny etat | Wysokie Mazowieckie | LingaroBuiild data ingestion, retrieval layer, orchestration (e.G. LangChain/LlamaIndex/LangGraph), API/backend, and simple UI where needed. Design and implement RAG pipelines with vector databases, hybrid search, rerankers, query transformation, and evaluation frameworks for relevance and robustness. Perform

07.02.2026 | Pełny etat | Lublin | Sii Sp. z o.o.Data Engineer with Databricks (f/m/x) Miejsce pracy Lublin Technologies we use Expected Databricks Unity Catalog Azure Data Factory Microsoft SQL Server Azure DevOps Azure Storage Apache Spark Optional Azure Key Vault Azure Functions Azure Stream Analytics GitHub Apache Hadoop Hive IoT Hub Azure

04.02.2026 | Pełny etat | Wysokie Mazowieckie | Nationale-NederlandenData Architect Miejsce pracy Warszawa Technologie, których używamy Wymagane Microsoft Azure Git SQL PowerBI Azure Databricks Mile widziane Python Collibra O projekcie Join the team responsible for building a modern data platform based on Azure and Databricks, leveraging a Data Mesh architecture

08.02.2026 | Pełny etat | Wrocław | Atos Poland Global Services Sp. z o.o.Integration Developer - Dynamics 365 Sales Azure Data Factory (SQL → Dataverse) Miejsce pracy Wrocław Technologie, których używamy Wymagane SQL Dynamics 365 Sales Dataverse Azure Data Factory MS SQL Server T-SQL CSV Azure Functions Web Activity Trigger Data Flow System operacyjny Windows O

07.02.2026 | Pełny etat | Warszawa | Jit Team sp. z o.o.Performance, scalable global reporting solution Developing distributed and parallelized data pipelines for massive transaction processing Working with Scala and Spark to optimize and transform financial datasets Integrating multiple data sources using Hadoop, Kafka, Hive, and Oozie Collaborating in an Agile

07.02.2026 | Pełny etat | Gdańsk (Gdańsk) | Jit Team sp. z o.o.Performance, scalable global reporting solution Developing distributed and parallelized data pipelines for massive transaction processing Working with Scala and Spark to optimize and transform financial datasets Integrating multiple data sources using Hadoop, Kafka, Hive, and Oozie Collaborating in an Agile

07.02.2026 | Pełny etat | Gdynia | Jit Team sp. z o.o.Performance, scalable global reporting solution Developing distributed and parallelized data pipelines for massive transaction processing Working with Scala and Spark to optimize and transform financial datasets Integrating multiple data sources using Hadoop, Kafka, Hive, and Oozie Collaborating in an Agile

07.02.2026 | Pełny etat | Jit Team sp. z o.o.A high-performance, scalable global reporting solution - Developing distributed and parallelized data pipelines for massive transaction processing - Working with Scala and Spark to optimize and transform financial datasets - Integrating multiple data sources using Hadoop, Kafka, Hive, and Oozie