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Builds and maintains high-performance Java services for real-time sports data and betting products in a cloud-native environment.
Owns and enhances HEINEKEN’s IoT data ingestion platform, building AWS-based pipelines to collect and process time-series data at global scale.
Senior Go engineer building high-throughput services that ingest, normalize, and serve real-time flight status and disruption data for millions of travelers.
Build and maintain backend services for a SaaS data platform that delivers market insights to SMBs, collaborating with senior engineers on scalable systems.
Build and deploy AI-powered solutions that integrate into enterprise platforms, designing scalable APIs and data connections to boost operational efficiency.
Leads AI/ML system design, development, and deployment for Bayer CropScience in Warsaw, building scalable data pipelines and cloud-based ML solutions with NLP and computer vision.
Design and manage low-latency network infrastructure for a programmatic advertising platform using Mellanox Spectrum and Cumulus Linux.
Builds AI-driven treasury applications using .NET, C#/F#, and JavaScript SPAs to help internal teams make faster, data-informed financial decisions.
Designs and migrates cloud-native data platforms to Azure, Databricks and Fabric, automating infrastructure with Python, IaC and Kubernetes while ensuring security, observability and cost-efficiency.
Lead a Python team building a cloud-native trading platform that embeds quant strategies into a unified system using AWS, Flask, and FastAPI.
Build and deploy Python-based AI applications using LLMs (OpenAI, GPT) and backend frameworks for financial-sector clients.
Build and deploy AI-powered applications using Python, LLMs, and vector databases. Design scalable GenAI systems with cloud-native tools and enterprise integration patterns.
Build and maintain scalable data pipelines and curated datasets for a modern Lakehouse and AI platform, using Python, SQL, Spark, and Snowflake to support analytics and AI use cases at a global investment bank.
Build and maintain large-scale data pipelines and curated datasets on a modern Lakehouse and AI data platform, using Python, SQL, Spark and Kafka to support analytics and AI use cases at a global investment bank.
Senior Data Engineer builds and maintains data pipelines, ETL/ELT processes, and real-time monitoring systems using Python, SQL, Databricks, and Spark, while also developing interactive dashboards and full-stack web apps.
Build and maintain a Databricks-based BI platform, writing PySpark ETL pipelines and orchestrating workflows in Azure Data Factory to feed Power BI dashboards for a global security services company.
Build and maintain Databricks-based ETL pipelines and lakehouse architecture to power Securitas’ global BI platform, using PySpark, Delta Lake, and Azure Data Factory.
Build and maintain Patchman’s backend infrastructure, modernize legacy systems, and automate CI/CD for a high-throughput Linux security product.
Build and maintain internal banking applications using Java, Spring, and SQL, with occasional Angular frontend work and modern DevOps tools like Docker and Kubernetes.
Pracujemy przy projektach rozwojowych dla klientów na całym świecie. Wdrażamy rozwiązania wspierające działalność banków, firm ubezpieczeniowych oraz instytucji finansowych w takich obszarach jak bankowość korporacyjna…
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