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Senior Data Engineer building and maintaining AI-assisted data pipelines and models for a Nordic bank’s lending and default management systems.
Senior IT Data Analyst builds and maintains data warehouses using Oracle SQL and ETL tools, modeling data and collaborating with teams to deliver analytics solutions in Agile projects.
Build and maintain scalable GCP data pipelines, ETL/ELT processes, and real-time data streaming solutions using BigQuery, Dataflow, and Pub/Sub.
Designs and builds cloud data pipelines and platforms to power AI and analytics for large enterprises using AWS, Azure, and GCP Vertex AI.
Design and build PySpark-based data pipelines in distributed environments, transforming large datasets and collaborating with architects and analysts to deliver high-quality data solutions.
Designs, builds, and optimizes cloud data pipelines and architectures using Snowflake and Databricks for international clients.
Build and maintain scalable data pipelines on Google Cloud Platform, focusing on BigQuery, Airflow, and Terraform to process and transform large datasets for analytics and ML.
Build and migrate a Snowflake/Azure data platform, designing schemas, ETL/ELT pipelines, and data models while integrating streaming and batch sources.
Build and maintain an end-to-end demand-forecasting system for a nationwide entertainment network, blending sales history with external signals and shipping GLM models in Python/SQL.
Senior Data Engineer designs and builds cloud-based data pipelines, warehouses, and ETL/ELT workflows using GCP, Azure, Snowflake, and dbt to support BI and AI systems.
Senior Data Engineer designs Oracle data warehouse layers and interfaces for global projects, with German fluency required and Kafka experience a plus.
Leads data engineering teams to design and maintain GCP-based pipelines and BigQuery solutions, ensuring data quality and compliance in a hybrid work setup.
Design and build scalable cloud data pipelines and ETL workflows using PySpark, SQL, and cloud platforms (AWS/Azure/GCP) to support AI-driven analytics for global enterprise clients.
Designs and builds scalable data pipelines and Lakehouse architectures using Azure Databricks, Spark, and Azure Data Factory to integrate diverse data sources.
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.
Builds scalable reporting solutions using Apache Spark, creating ETL/ELT pipelines in a hybrid role based in Warsaw.
Build and maintain ETL pipelines and data-sharing integrations using SQL Server, Kafka, and APIs to connect disparate systems and enable cross-application data flow.
Build and maintain scalable cloud data pipelines on AWS using Terraform and Python, focusing on ingestion, transformation, and validation in containerized environments.
Builds and maintains data pipelines to migrate SAP data into Snowflake using SNP Glue, ensuring data quality and integration for a global tech client.
Senior Data Engineer builds and maintains data platforms and optimizes ETL pipelines using Databricks and SQL for an AML/FCU platform.
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