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Build and maintain data pipelines, warehouses, and lakes using SQL, Python, Spark, and cloud platforms to power analytics and AI products.
Build and maintain ETL/ELT pipelines in Python/SQL, optimize Snowflake queries, and run Airflow workflows to turn raw freight sensor data into analytics and ML features for a logistics intelligence platform.
Senior Data Engineer builds high-performance data pipelines and lakehouse architecture using ClickHouse, Postgres, and open-source tools to power real-estate analytics and products.
Build and maintain GCP-based data pipelines (batch/streaming) for analytics and ML, using BigQuery, Dataflow, Pub/Sub, Kafka, and ClickHouse.
Designs and builds GCP-based data pipelines, warehouses, and storage systems using BigQuery, Airflow, and Python; troubleshoots performance issues and mentors junior engineers.
Senior Data Engineer builds and maintains scalable data pipelines for a global wealth management firm, using Snowflake, dbt, Prefect, and Workato to deliver analytics-ready financial data for executives.
Builds and optimizes global data pipelines on GCP, using BigQuery, Dataflow, dbt, and Airflow to deliver clean data for analytics and reporting.
Designs and maintains scalable data pipelines on GCP, models data in BigQuery, and optimizes queries and costs using Airflow, Terraform, and BI collaboration.
Designs and builds cloud-based data pipelines and ETL workflows on Azure or GCP, using Python/Java/Scala, Spark, Kafka, and Airflow to modernize and migrate enterprise data systems.
Build and maintain the data pipelines and warehouse that power a quantitative investment firm’s ML-driven equity strategy, using Python, Snowflake, Airflow, DBT, and AWS.
Build and maintain data pipelines, warehouses, and governance for an insurance-focused platform using Python, Databricks/Snowflake, and cloud services.
Build and maintain scalable data pipelines and analytics infrastructure for a mobile RPG game, transforming raw gameplay data into clean datasets for insights and LiveOps decisions.
Senior Data Engineer builds, optimizes, and maintains high-volume data pipelines in GCP and on-prem using Python, PySpark, ETL tools, and Rust for performance-critical components.
Builds and maintains a modern cloud data platform for a large financial institution using GCP, BigQuery, dbt, and Airflow.
Builds and maintains data pipelines, ETL/ELT workflows, and a data warehouse to feed internal apps and analytics for a Polish energy-trading company.
Design and maintain scalable ELT/ETL pipelines using Airflow, Snowflake, and Databricks to feed AI-driven analytics and models.
Build and maintain data pipelines and storage, model data, and implement ETL processes using PostgreSQL, Airflow, DBT, and AWS to support analytics and decision-making.
Build and optimize scalable data pipelines and models for a gaming-focused HR platform, ensuring data quality and governance using Python, DBT, Airflow, PySpark, and AWS.
Design and maintain scalable data pipelines on Google Cloud using BigQuery, SQL, Python, Airflow, and Terraform for analytics and BI teams.
Designs and maintains Python-based data pipelines and APIs for pricing and vehicle data using Airflow, FastAPI/Flask, and SQL databases in a hybrid Warsaw role.
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