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Senior Data Engineer
Senior Data Engineer designs and builds scalable data pipelines and warehouses, mentors junior engineers, and ensures reliable data delivery for analytics and business insights.
Junior Data Engineer
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.
Data Engineer(GCP)
Designs and builds scalable data pipelines on Google Cloud, focusing on BigQuery, Dataflow, and Airflow to support analytics and AI workloads.
Data Engineer(Pyspark)
Build and maintain PySpark-based data pipelines that process large datasets in distributed environments, ensuring data quality and performance for downstream systems.
Snowflake Data Engineer
Build and maintain Snowflake transformation layers that turn raw banking data into clean, governed datasets for risk modeling and regulatory reporting, using SQL, Snowpark, and Airflow.
Data Engineer (AWS)
Design and build scalable AWS-based data pipelines and cloud-native architectures to process large datasets, using services like Glue, Redshift, Lambda, and Spark.
Azure Data Engineer
Design and build scalable HR data pipelines on Azure Databricks and ADF, focusing on automation, quality, and observability for employee lifecycle solutions.
Azure Data Engineer
Design and build scalable Azure Databricks and Data Factory pipelines for HR analytics, using Python/Scala and Spark to automate data workflows and ensure quality.
Senior Data Engineer
Senior Data Engineer builds and evolves a scalable enterprise Lakehouse platform using Python, PySpark, Databricks, and Azure services to power analytics and AI workloads.
Analytics / Data Engineer
Build and maintain the data warehouse and pipelines that power reporting, AI workflows, and decision-making for a prop-trading discovery platform.
Lead Data Engineer
Lead a team building cloud data lakes and pipelines using Databricks, Python, and Azure/GCP, balancing hands-on development with technical leadership.
Senior Data Engineer (DevOps) SSIS, Snowflake, SQL, Python, Apache Airflow Warsaw, Gdańsk
Builds and maintains scalable data pipelines and ETL workflows using SSIS, Snowflake, SQL, Python, and Airflow to replicate and process BMC Helix data in a SAFe Scrum team.
Senior Data Engineer (DevOps) SSIS, Snowflake, SQL, Python, Apache Airflow Warsaw, Gdańsk
Builds and maintains scalable data pipelines and ETL workflows using SSIS, Snowflake, SQL, Python, and Apache Airflow for near real-time data replication.
AI Data Engineer (Data Engineering, Cloud Platform, Python)
Build and maintain scalable data pipelines and AI-ready cloud infrastructure using Python, PySpark, and cloud platforms to support analytics and machine learning workflows.
Senior Data Engineer
Senior Data Engineer builds and optimizes large-scale ETL/ELT pipelines using Python, PySpark, SQL, and AWS services to deliver reliable, high-performance data solutions for global clients.
Cloud Data Engineer
Build and operate cloud data pipelines using Python, Google Cloud, and Terraform to deliver scalable data products and KPIs in an agile team.
Senior Python Backend Engineer – Data Pipelines & APIs
Build and maintain Python-based data pipelines and REST APIs for a data hub, using SQL and Airflow, with occasional Angular frontend work for pricing features.
Senior Data Engineer
Build and optimize Data Lake and DWH solutions in GCP, using Python/Rust, Kafka, and BigQuery to power business decisions and integrate data pipelines.
Data Engineer (Snowflake)
Build and maintain cloud data warehouse solutions (Snowflake) and CI/CD pipelines for a global media group, using SQL, dbt, Airflow, and AWS.
Mid Data Engineer
Build and optimize cloud data lakes and pipelines using Databricks, Python, SQL, and cloud services like Azure/GCP/AWS to deliver scalable analytics solutions.