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Build and maintain a modern data platform for a Nordic bank using Snowflake and DBT, delivering trusted data for AI-driven customer-facing solutions.
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 full-stack web apps with React/Angular and DevOps tooling.
Senior Data Engineer builds and maintains scalable ETL/ELT pipelines, data models, and automated compliance systems for a fintech POS-financing platform using Snowflake, Airflow, dbt, and AWS.
Build and maintain scalable data pipelines on GCP to power analytics and AI features for Box’s content-management platform, using BigQuery, Spark, and Python.
Designs and maintains scalable data pipelines using Apache Spark and Scala for a global consulting firm, focusing on ETL workflows and big-data infrastructure.
Lead a data engineering team to migrate and modernize a media company’s data platform on GCP using PySpark, while removing technical bottlenecks and guiding architectural decisions.
Lead AI Engineer designs and builds AI applications like chatbots and workflows, manages data pipelines, and optimizes AI performance for clients.
Maintains Linux/Windows servers, databases, and contributes to IoT projects for an HR software company.
Lead a team to design and build scalable data pipelines and platforms using Spark/Scala, Airflow, and cloud tools, while mentoring engineers and ensuring regulatory compliance.
Lead a team to design and build scalable Azure data pipelines and warehouses using Databricks, PySpark, and SQL to process large datasets for enterprise clients.
Build and optimize data pipelines using Spark, Hadoop, and Scala to detect fraud and financial crime for a global bank.
Designs and maintains secure, scalable data pipelines in Python and SQL on AWS to ensure high-quality, trustworthy data for analytics and decision-making.
Leads Azure-based data pipelines and ETL processes for BD’s reporting and analytics, ensuring governance and delivering insights to cross-functional teams.
Lead the design and delivery of an AWS-native data platform that powers underwriting intelligence and AI-driven insights using Python, .NET, and modern cloud tools.
Junior data engineer builds and maintains ERP and BI integrations, ensuring data quality and scalable ETL pipelines to support business analytics.
Lead a team building and optimizing Python-based data pipelines and platforms for regulatory reporting in an investment bank.
Build and maintain scalable Azure data pipelines and lakehouse solutions using Databricks, PySpark, and Azure Data Factory to process and transform large datasets for enterprise clients.
Build and maintain scalable Azure data pipelines and Databricks lakehouse solutions, transforming raw data into analytics-ready assets while collaborating with cross-functional teams.
Senior Data Engineer builds scalable Snowflake-based data platforms, designs ETL pipelines, and models large datasets for analytics in a hybrid Poland role.
Designs and maintains scalable AWS data pipelines using S3, Glue, Lambda, Redshift, and EMR to integrate and deliver data for analytics and reporting.
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