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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 Data Engineer
Senior Data Engineer builds and maintains data pipelines and models for a fintech platform, migrating legacy systems to Databricks and PySpark while ensuring regulatory compliance and delivering analytics dashboards.
Senior Data Engineer
Build and maintain data pipelines using Azure, Databricks, and PySpark, collaborating with stakeholders to deliver clean, scalable data solutions in an Agile environment.
Databricks Data Engineer
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.
Senior Data Engineer (zdalnie)
Senior Data Engineer builds and validates data pipelines, models, and dashboards for a consulting client, integrating ERP, SharePoint, and flat files into trusted analytics using Snowflake, Databricks, and Sigma.
Data Engineer / 1
Build and optimize Python-based ETL/ELT pipelines to migrate on-prem MS SQL Server data into Databricks, ensuring data quality and performance for AI/ML projects.
Cloud Data Engineer
Build and operate cloud data pipelines and services for a loyalty platform, using Python, Google Cloud, and Terraform in an agile DataOps team.
Senior Data Engineer
Build and maintain cloud-based data pipelines and warehouses using Python, Spark, and GCP, enabling scalable analytics and data-driven decisions.
Expert Data Engineer
Designs and builds scalable data pipelines, cloud data warehouses, and ETL/ELT frameworks using Python, Spark, and GCP to enable data-driven decisions.
Senior Data Engineer
Designs and maintains scalable data pipelines and BI solutions using Azure Synapse, Databricks, and PySpark to turn raw data into actionable insights for DSV’s global operations.
Data Engineering Lead
Lead a team of data engineers to build and maintain scalable Azure-based data pipelines and ETL processes using Databricks, PySpark, and SQL, while mentoring engineers and driving DataOps best practices.
Data Engineer (Databricks)
Senior Data Engineer builds scalable data pipelines in Databricks and PySpark, refactors legacy SQL logic, and designs Medallion architecture for a large insurance client’s cloud migration.
CLOUD DATA ENGINEER
Design and build cloud data pipelines in AWS using PySpark and AWS Glue to process and transform data for analytics and reporting.
Lead Data Engineer
Lead a team to design and build scalable data platforms (Data Lakes, pipelines) using Python, SQL, Spark, and GCP, while mentoring engineers and aligning architecture with business needs.
Senior Data Engineer
Build and maintain Azure + Databricks pipelines that ingest, transform, and deliver trusted datasets for an automotive application using PySpark, Spark SQL, and Azure Data Factory.
Data Engineer
Build and migrate data pipelines for AML risk-analysis systems using Python, SQL (Teradata), PySpark, and Databricks to centralize banking data and enable analytics.
Data Engineer
Builds and migrates data pipelines for AML compliance, centralizes data from multiple sources, and develops ETL processes using PySpark and Databricks.
Data Engineer (Poland)
Build and maintain high-volume data pipelines and analytics solutions for adtech, transforming audience/media data into actionable insights using Python, PySpark, Airflow, and Kubernetes on AWS/Databricks.
Mid-Level Data Engineer: Cloud Pipelines & Analytics
Builds and maintains cloud-based ETL pipelines and data architectures using Python, SQL, and Spark to enable analytics and reporting.
AI/Data Engineer — Cloud Pipelines & ML (Hybrid)
Designs and maintains cloud-based data pipelines and ETL workflows in Python/PySpark and SQL to feed AI/ML services and analytics across a global dairy company.