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Lead a squad of data engineers at a global FinTech/CFD trading company in Kraków, delivering batch and real-time Kafka data pipelines on GCP. Core stack: BigQuery, dbt, SQL, Python, with Medallion architecture, data contracts, observability and people management.
Cloud Data Engineer at Sii's Data & Analytics competence center designs, builds, and maintains scalable data platforms and ETL/ELT pipelines in Azure Databricks, modeling data for analytics and mentoring junior team members. Core stack: SQL, Python, Spark/PySpark, and Azure data services (Databricks, Data Factory, Synapse, Fabric).
Sii Poland is hiring a Senior Data Engineer to design and optimize data pipelines and scalable lakehouse architectures using Microsoft Fabric, Azure Synapse, and Azure Data Factory. Day to day involves building warehousing and analytics solutions, implementing CI/CD with strong governance, and collaborating with delivery teams in a client-facing setting.
Senior Data Engineer at Ideamotive in Warsaw working on long-term (roughly year-long) banking data platform projects built on Kafka, Spark, and lakehouse architecture — designing data flows, defining schemas and transformations, monitoring performance, and leading code reviews.
Senior Azure Data Engineer building a brand-new, greenfield cloud data platform (remote, Poland-based) that serves 130+ airlines, defining the Azure architecture and engineering standards from day one. Core stack: Azure Data Factory, Databricks, ARM templates, Terraform, and CI/CD for multi-tenant data solutions.
HireHi is hiring an experienced data engineer in Poland to build and maintain scalable data models, pipelines, and integrations using Snowflake, dbt, and Airflow, working with APIs and DevOps practices like CI/CD and testing, and delivering end-to-end solutions from business requirements to production.
A 3-month, hybrid contract in Warsaw for a Manager-level Data Engineer to build and maintain data ingestion pipelines for an internal AI data marketplace platform. The core stack is Azure Data Factory, Azure Databricks, Apache Spark/PySpark, Python and SQL, focused on stable, fault-tolerant ETL.
DXC Technology is hiring a Warsaw-based (hybrid) Data Engineer to build ELT pipelines and data models in Snowflake using dbt, SQL, Python, and Git/CI-CD tooling on a project for a major Swiss transportation client. Fluent German (B2) is required; Azure Data Factory experience is a plus.
Senior Data Engineer who helps migrate an on-prem MS SQL data warehouse to Google Cloud, redesigning legacy SQL/ETL into batch pipelines and analytical models on BigQuery, Cloud Composer, and GCS, then stays on to build new data products and AI-assisted engineering automation. Requires advanced SQL, strong Python, and hands-on cloud data platform experience.
Designs and implements data processing solutions in Databricks, building and developing data pipelines with Python and cloud-native tools, while collaborating with architects on data engineering standards. Fully remote role requiring hands-on Databricks, Python, and at least one cloud platform (AWS/Azure/GCP).
Data engineer owning end-to-end delivery in the Recovery data area: designing scalable data models and resilient pipelines, integrating enterprise APIs, and ensuring reliability from requirements to production. Core stack: SQL, Python, Snowflake, dbt, Airflow, with CI/CD and automated testing.
Data Engineer at Sii Poland's Data & Analytics Competence Center in Toruń, designing, building, and maintaining enterprise-scale Microsoft Fabric data platforms. Day-to-day work spans ETL/ELT with Azure Data Lake and Databricks, plus secure, cost-efficient, scalable data models. Polish fluency and Poland residency required.
Data Engineer at DXC Technology working on a Snowflake data warehouse project for a major Swiss transportation client: building and deploying dbt data models, writing SQL and Python data pipelines, and running CI/CD in Kubernetes/OpenShift environments. Requires fluent German (min. B2) and work from one of DXC's Polish offices.
Senior Data Engineer at Comarch in Kraków will take technical ownership of the company's Data Hub platform in the areas of Master Data Management and Data Quality — designing data layers, building ETL/ELT pipelines with Airflow, Spark, dbt, advanced SQL and Python, and implementing Golden Record matching with Splink plus Great Expectations validation. Hybrid work model.
Senior Data Engineer building a brand-new Azure-native data platform from scratch for an aviation cost-management platform serving 130+ airlines. Day to day: designing greenfield, multi-tenant data solutions with Azure Data Factory, Databricks, Azure Functions, ARM templates, Terraform and CI/CD, fully remote from Poland.
Design, build, and maintain data pipelines, ETL processes, and data models for a global trading platform, ensuring reliable, high-quality data for analytics and business intelligence. Core stack includes Python, Redshift, Snowflake, DBT, Airflow, AWS, and Kafka.
Full-stack Data Engineer owning Coople's data platform end-to-end: building and maintaining pipelines into a Databricks data lake on AWS, delivering Power BI reporting, and evolving the stack toward AI-first, self-service data access. Hybrid role, 2 days/week on-site in central Warsaw, working with dev teams and business stakeholders.
Data engineer on a project migrating and rebuilding data processing pipelines from Oracle/on-premise to Google Cloud Platform. Day to day: designing GCP data engineering solutions and batch/streaming processes, modeling data in BigQuery, optimizing SQL, and analyzing/modifying Informatica PowerCenter ETL processes.
DevOps engineer on the Emergency Call Handling (NGEN) team in Kraków, building and operating highly available cloud-based mission-critical systems end to end. Day-to-day centers on Linux, Kubernetes/Docker, infrastructure automation with Ansible, and CI/CD via Jenkins/GitHub Actions, with exposure to Azure/AWS, PostgreSQL, and observability tooling.
Java developer with a strong DevOps background joining Motorola Solutions' Emergency Call Handling team in Kraków to build and maintain a mission-critical, 99.999%-availability call handling platform. Day-to-day work spans end-to-end delivery using Java/Kotlin, Spring Boot/Quarkus, Kubernetes/Docker, Azure/AWS, and real-time protocols like SIP and WebRTC.
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