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Senior Azure Data Engineer
Senior Azure Data Engineer designs and builds scalable data pipelines using Azure Data Factory, Databricks, and Synapse Analytics to support real-time and batch processing for global IT systems.
Senior Data Engineer (Java)
Build and maintain cloud-based data pipelines and microservices in Java/Spring Boot to support market-risk analytics for a global financial institution.
Senior Data Engineer: Spark, Lakehouse & AI Pipelines
Builds and optimizes scalable ETL pipelines using Spark, Delta Lake, and Azure Databricks to feed AI/ML models and analytics for a global gambling platform.
Data Engineer (Spark, Azure)
Design and build a scalable enterprise search engine for a global financial firm using Python, Spark, and Azure services.
Senior / Principal Data Engineer
Design and build scalable data pipelines and ML-ready datasets for chemical manufacturing, enabling predictive maintenance, optimization, and automation using Python, SQL, and cloud-native tools.
Lead Data Engineer – Client Tech & AI Pipelines
Lead a team to design and build scalable data pipelines for analytics and AI projects using distributed systems like Databricks and NoSQL databases.
Big Data Engineer IV
Design and build large-scale data pipelines and warehouses for a high-traffic ad exchange, processing over 1 PB of daily events with Java/Scala/Python, Spark, BigQuery, and GCP.
Big Data Engineer IV
Build and optimize large-scale data pipelines and warehouses for a digital ad exchange handling billions of daily requests, using Java/Scala/Python, Spark, BigQuery, and GCP.
AI Full Stack Software Engineer (Agentic AI & UI Focus)
Build and maintain data pipelines and ETL processes to support AI agents and ML workflows, ensuring reliability, security, and compliance for healthcare-focused AI initiatives.
Mid-Level Full-Stack Engineer: Build End-to-End Apps
Build and maintain full-stack .NET applications using C# and SQL/NoSQL databases in a hybrid role at a software development company.
Lead Data Engineer (Poland)
Lead a team building and maintaining a distributed data platform and AI self-service portal using Azure, Databricks, Spark, and Python to power legal decision insights.
Senior / Principal Data Engineer
Design and build scalable data pipelines and analytics platforms for chemical manufacturing, enabling predictive maintenance, optimization, and AI-driven solutions using Python, Databricks, and cloud technologies.
Data Engineer @ Scalo
Builds and maintains ETL pipelines, optimizes databases, and creates data visualizations using SQL, Python, and tools like Power BI or Elasticsearch for financial-sector clients.
Senior Data Engineer
Senior Data Engineer designs and builds scalable data pipelines and warehouses, mentors junior engineers, and ensures reliable data delivery for analytics and business insights.
Senior Data Engineer
Design, build, and optimize large-scale data pipelines and warehouses for a finance-automation SaaS, ensuring data quality and accessibility for analytics and product teams.
Python Data Engineer
Builds and maintains scalable Python-based data pipelines and ETL processes for a global bank’s new microservices architecture, ensuring reliable data flows and integration with existing systems.
Data Engineer(Pyspark)
Build and maintain PySpark-based data pipelines that process large datasets in distributed environments, ensuring data quality and performance for downstream systems.
AI-First Full Stack Engineer @ Matrix Global Services
Build and maintain Stampli’s AP automation platform using Java and React, integrating AI at every stage to speed invoice approvals and improve collaboration.
Senior IT Test Automation Engineer Java, CI/CD, DevOps, SQL, REST Gdańsk
Build and maintain Java-based test automation frameworks for microservices and REST APIs, using CI/CD pipelines and SQL/NoSQL databases to validate distributed systems.
Senior IT Test Automation Engineer Java, CI/CD, DevOps, SQL, REST Gdańsk
Build and maintain Java-based test automation frameworks for microservices and REST APIs, using CI/CD pipelines and SQL/NoSQL validation in an Agile team.