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Designs and builds Kafka-based data integrations at Hiberus Poland in Wrocław: designing topics, mapping data between systems, and developing Java/Spring Boot microservices with monitoring and observability. Core stack: Apache Kafka (Streams, kSQL, Connect), MongoDB and GraphQL.
Software engineer on Point72's Controllers Technology team in Warsaw, modernizing financial reporting systems and building scalable data pipelines. Day to day involves designing, developing, testing, and deploying features using T-SQL, Python, and Airflow in partnership with controllers and technology colleagues.
Senior engineer on HEINEKEN's Global Platform Team designs and builds scalable streaming and batch data pipelines using PySpark, SQL, Databricks (DLT, Unity Catalog, DBSQL) and Azure, optimizing a Delta-based medallion-architecture Data Lakehouse and collaborating via Git in an agile team.
Builds and maintains data pipelines and data products for subsurface and drilling (oil & gas) data on a cloud data platform, integrating seismic and well metadata and enabling AI/ML workflows like classification and similarity search. Core stack: Python, SQL, Snowflake, Azure, Power BI/Streamlit, with geoscience tools like Petrel.
A senior Collibra specialist (via Royal Cyber) who configures Collibra DGC, implements the Collibra Data Catalog, and integrates Collibra with other systems via REST APIs. Day-to-day work centers on data governance workflows and data quality using SQL and Groovy/JSON scripting.
Senior Data Platform Engineer on HEINEKEN's Global Platform Team in Kraków, building scalable data pipelines for streaming and batch workloads using Databricks, PySpark, and SQL, while implementing Delta optimization and working with Unity Catalog and lakehouse architecture.
A Senior Data Engineer at Sii Poland designs, builds and optimizes enterprise data solutions for client projects using Microsoft Fabric, Azure Synapse and Azure Data Factory. Day to day this means leading a data project, maintaining data pipelines and lakehouse/analytics platforms, and enforcing security, governance and CI/CD practices on customer Azure platforms.
Zohorecruit is hiring an AI Data Engineer to design and build production-grade data pipelines, ingestion, transformation, and feature engineering workflows that power ML training, evaluation, and real-time inference. The role works closely with data scientists, ML engineers, and platform teams across cloud environments.
An Azure Data Engineer builds a greenfield, multi-tenant data platform on Azure: day to day you implement data pipelines with Azure Data Factory and Databricks and automate infrastructure with Terraform, ARM templates, and GitHub Actions. The role is fully remote across Europe.
Administers and optimizes Westinghouse's Project Online (PPM) environment, supporting PMOs, governance, and analytics with dashboards, automation, and reliable data flows. Day to day involves designing workflows, developing Power BI reports, and integrating enterprise systems, on a hybrid schedule with two days in the Kraków office.
World Courier (Cencora) is hiring a data engineer in Lublin, Poland to design, implement, and maintain scalable data pipelines, data models, ETL/ELT processes, and dashboards. Core stack includes Snowflake, Azure Synapse, and Power BI, with an emphasis on secure data platforms, governance, and AI-assisted delivery tooling.
Hirobe Limited is hiring an experienced data engineer in Poland to own the end-to-end build of Federated Audience Composition (FAC) in Adobe Experience Platform. Day to day they integrate Databricks, model and validate data, and deliver production-ready batch and streaming pipelines that turn data into actionable marketing audiences.
A data engineer at Cencora/Phlexglobal in Lublin, Poland, designing, building, and supporting scalable data pipelines, data integrations, modelling, and BI reporting. Day to day works with Azure, Snowflake, Power BI, and AI-assisted tooling to modernize legacy systems while upholding governance and privacy standards.
A data engineer at HCLTech in Wrocław designs, builds, and maintains scalable data pipelines on Microsoft Azure to support BI, analytics, and decision-making. Day to day they collaborate with data scientists, analysts, and business stakeholders while ensuring data quality, security, and compliance.
Senior Data Engineer at Sii Polska who builds and maintains data pipelines, sets up orchestration workflows in Apache Airflow, and creates curated data products and semantic layers for analytics and reporting, while supporting Power BI initiatives. Requires 5+ years with cloud data platforms, strong GCP/BigQuery skills, and Python/SQL proficiency.
Senior Data Engineer at Sii building and maintaining GCP data pipelines, orchestrating them with Apache Airflow, and creating curated data products and semantic layers for Power BI reporting and analytics. Work model is flexible (remote, hybrid, or office) across cities in Poland.
Fully remote Data Engineer / Document AI Engineer building scalable data pipelines and deploying Document AI solutions to extract information from documents. Day-to-day work uses Python, SQL, Spark, and cloud AI tools in partnership with data scientists and business stakeholders.
Experienced data engineer joining Sii Poland's Data & Analytics Competence Center in Białystok, designing and building Azure-based data platforms with Microsoft Fabric and Databricks. Day to day: building ETL/ELT pipelines, scalable data models, and secure, compliant integrations of enterprise data sources using Python and SQL.
Senior Data Engineer at Solid building and optimizing distributed transactional data pipelines in Spark, Databricks, and PySpark, with Kafka integration and Azure Cloud. Requires fluent Java and Python, plus Kubernetes and CI/CD experience in an Agile environment with Level 3 production support.
Lingaro is hiring a Senior Data Engineering Lead in Poland to guide and mentor a growing data team, shape architecture and delivery of scalable Azure cloud data solutions, and drive coding standards, CI/CD, data governance, and security compliance.
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