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Build and own the data platform for an AI-powered SaaS finance product, designing Snowflake pipelines, Power BI analytics, and AI-driven development workflows to deliver trusted insights for enterprise customers.
Build and maintain scalable ETL/ELT pipelines in AWS/Azure/GCP using Python, Spark, and SQL to power analytics and ML for global clients.
Senior Data Engineer builds and optimizes Azure-based ETL pipelines, data warehouses, and BI reports using SQL, Azure Synapse, and Power BI to deliver clean, governed data for analytics.
Senior Data Engineer builds and maintains cloud-based ETL pipelines and data architectures using Python, Spark, and cloud platforms to power analytics and ML for global clients.
Design and build large-scale data pipelines on Databricks using Python and cloud-native tools, ensuring secure, scalable data processing for downstream systems and reports.
Build and maintain data pipelines, warehouses, and lakes using Oracle, PostgreSQL, BigQuery, Kafka, and Python to feed analytics and reporting systems.
Build and maintain ETL pipelines using Spark/Scala to move and transform data between systems, ensuring quality and integration with microservices in a hybrid Warsaw role.
Design and build scalable AWS-based data pipelines and cloud-native architectures to process large datasets, using services like Glue, Redshift, Lambda, and Spark.
Build and maintain scalable ETL pipelines and data models using Spark, Scala, and cloud storage, then deliver clean data to analytics teams via BI tools like Databricks and Power BI.
Build and maintain scalable ETL/ELT pipelines and cloud-native data architectures using Python, Spark, and cloud platforms (AWS/Azure/GCP) to power analytics and ML for global clients.
Lead a team building cloud data lakes and pipelines using Databricks, Python, and Azure/GCP, balancing hands-on development with technical leadership.
Builds and maintains Azure-based data pipelines and products using Databricks, Python, and Spark to process and integrate large datasets for clients.
Senior data engineer builds and maintains data pipelines using Databricks, Python, and SQL to support banking analytics and cloud migration at a top Polish bank.
Build and maintain large-scale data pipelines on Databricks using Python, PySpark, and cloud-native tools to process and deliver clean data for analytics and AI workloads.
Build and optimize Data Lake and DWH solutions in GCP, using Python/Rust, Kafka, and BigQuery to power business decisions and integrate data pipelines.
Design and build scalable ETL pipelines and data models using Spark, Scala, and cloud storage (AWS S3, Hive) to support analytics and BI tools like Databricks and Power BI.
Build and optimize cloud data lakes and pipelines using Databricks, Python, SQL, and cloud services like Azure/GCP/AWS to deliver scalable analytics solutions.
Lead a team to design and implement scalable data pipelines on GCP using Airflow, BigQuery, Dataflow, and Dataproc, ensuring data quality, security, and compliance.
Build and maintain scalable data pipelines, cloud data infrastructure, and AI/ML-ready datasets for a global consulting firm.
Builds and maintains scalable data pipelines for an automotive sales client using Azure Databricks, Python, and Synapse/IICS to support business processes and integrations.
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