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Data Engineer - Hybrid (Warsaw) | Big Data, Spark & CI/CD
Builds and maintains scalable data pipelines using Spark, Scala, and ETL processes, with SQL and BI tools like Databricks and Power BI.
Spark/Scala Big Data Engineer — Hybrid in Warsaw
Builds and maintains a new big-data platform for structured finance using Spark and Scala, ensuring data quality and supporting digital strategy.
Senior Data Engineer – PySpark, Hadoop & Airflow (Hybrid)
Designs and builds scalable data pipelines using PySpark, Hadoop, and Airflow in a DevOps environment to support analytics and reporting.
Senior Data Engineer (with GCP experience) - ICH Europe
Design and build scalable data pipelines on GCP (BigQuery, Cloud Composer) to feed AI/ML models, using Python, SQL, dbt and Data Vault 2.0.
Data Engineering Tech Lead: Spark/Scala, Cloud, Hybrid
Lead a team building and scaling big-data pipelines in Scala/Spark on cloud infrastructure for a financial-data platform, while mentoring engineers and owning technical delivery.
Data Engineering Tech Lead: Spark/Scala Architect & Mentor
Leads a team to design and deliver scalable data pipelines using Scala, Spark, and cloud tech, while mentoring engineers in a hybrid Warsaw role.
Senior Big Data Engineer - Spark, Scala, Python, AWS
Builds and maintains distributed big-data pipelines using Spark, Scala, and Python in an AWS environment, collaborating with DevOps and QA teams.
Senior Data Engineer (with GCP experience) - ICH Europe
Build and maintain scalable data pipelines on GCP for AI initiatives, using Python, SQL, dbt, and BigQuery to enable large-scale analytics and ML workloads.
Senior Big Data Engineer — Spark & Scala, Cloud Infra
Designs and verifies Spark/Scala data pipelines and cloud infrastructure for a consultancy specializing in big-data and cloud migration projects.
Big Data Engineer - Innovation / Project / Organization - Warsaw, Poland
Build and maintain a large-scale data platform for structured finance using Spark/Scala, SQL, and DevOps tools to process and industrialize big datasets for CIB’s GLBA business line.
Big Data Engineer – Spark/Scala on Azure Databricks (Hybrid)
Build and maintain scalable big-data pipelines on Azure Databricks using Spark/Scala, Kubernetes, and Terraform for a hybrid role in Kraków.
Senior Big Data Engineer: Spark/Scala on Azure Databricks
Build and maintain scalable Big Data pipelines on Azure Databricks using Scala/Java, ensuring reliable runtimes and CI/CD integration for a global client project.
Senior Data Engineer – automotive sector (f/m/x)
Senior Data Engineer builds and maintains cloud-based data pipelines and lakes for a global financial-services client, using Azure Databricks, PySpark, and Azure SQL to enable analytics.
Data Engineer Copilot Agent & SDLC Context Platform Engineer
Builds GitHub Copilot Custom Agents and the data/context systems (MCP servers, RAG pipelines, SQL/graph DBs) that let Copilot understand codebases, SDLC rules, and compliance requirements inside VS Code.
Senior AI/Data Engineer (Snowflake, GenAI)
Build and operate Snowflake-based data platforms that power GenAI and advanced AI use cases at enterprise scale, integrating vector search, RAG, and agent workflows.
Hybrid Tech Lead - Data Engineering (Spark/Scala)
Leads a team building and optimizing large-scale data pipelines using Scala and Spark in cloud environments, balancing hands-on engineering with mentorship and project delivery.
Senior Big Data Engineer - Spark, Scala & Infra
Builds and optimizes large-scale data pipelines using Scala and Spark, processing big data sets for distributed systems.
Junior Mid-Level Machine Learning Data Engineer
Build and maintain data pipelines and infrastructure for AI solutions, working with Spark, Python, and LLMs to support machine learning models and predictive analytics.
Senior Spark & Scala Big Data Engineer | AWS
Builds and maintains distributed data pipelines using Spark and Scala on AWS, collaborating in a CI/CD environment with Python, SQL, and cross-functional teams.
Senior Big Data Engineer (Spark/Scala/Java)
Build and maintain a cloud-based big-data platform (Spark/Scala/Java) on Azure Databricks for valuation and risk analytics in a global finance team.