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Data Engineer
Builds and maintains Azure-based data pipelines and integrations using Databricks, DevOps, and Data Factory to support analytics and reporting.
Backend Spark Engineer: Data Pipelines & SQL
Build and optimize Apache Spark data pipelines and SQL queries for financial and logistics clients in a hybrid Warsaw role.
Data Engineer
Build and maintain scalable data pipelines and platforms using Azure, Databricks, PySpark, and Python to enable analytics and AI workloads.
Data Engineer
Design and build scalable data pipelines and warehouses in cloud/on-prem, using SQL, Python, Spark and GCP to deliver analytics-ready data products.
Data Engineer
Design and build cloud and on-premise data platforms, ETL pipelines, and warehouses using SQL, Python, BigQuery, DBT, Airflow, and Trino to support analytics and reporting.
Senior Data Engineer: Databricks & Azure Pipelines
Designs and builds scalable data pipelines on Databricks and Azure, using Python/PySpark and Azure Data Factory to integrate and process large datasets.
Data Engineer
Designs and builds scalable Azure-based data pipelines and warehouses using Databricks, PySpark, and SQL for a supply-chain-focused product team.
Data Engineer
Design and build scalable data pipelines and applications for regulatory reporting in a global investment bank, using Python, Databricks, Spark, and cloud tech.
Data Engineer — Remote/Hybrid, AI‑Driven Data Pipelines
Design and maintain scalable ELT/ETL pipelines using Airflow, Snowflake, and Databricks to feed AI-driven analytics and models.
Azure Data Engineer with Databricks — Remote-Eligible Data Pipelines
Builds and optimizes Azure-based data pipelines using Databricks to integrate diverse sources into scalable analytics platforms.
Azure Data Architect: Cloud, Governance & Pipelines
Designs and implements cloud-native data solutions on Azure, focusing on Databricks and robust governance practices for a credit union.
Data Architect
Design and implement a cloud-native data ecosystem on Azure for a credit union, using Databricks, Spark, Unity Catalog, and Purview to build secure, scalable, and compliant data pipelines and governance frameworks.
Data Engineer | Cloud Pipelines & Databricks
Designs and maintains cloud-based ETL/ELT pipelines using Databricks, Spark, and Python to feed marketing analytics and reporting for a global FMCG brand.
Data Scientist
Build and deploy ML models, predictive analytics, and data pipelines using Python, SQL, and cloud tools to drive business decisions and user experience improvements.
Data Engineer
Build and optimize data pipelines for research data egress/ingress, ensuring high availability and integration with AI tooling in a financial services environment.
Data Architect
Designs and evolves AGLC’s enterprise data architecture, guiding cloud and analytics initiatives to support gaming and liquor systems across 1,200+ locations.
Data Engineer
Builds and designs a modern, cloud-native data platform, designs data models and flows, and modernizes legacy systems while collaborating with business and tech teams.
Hybrid Data Engineer: Azure Pipelines & Analytics
Build and maintain Azure-based data pipelines and analytics infrastructure using Databricks, DevOps, and Python to support business decision-making.
Data Engineer
Build and maintain a governed Finance data ecosystem in Databricks and Power BI, ensuring SOX-compliant, audit-ready data pipelines and semantic models for global reporting and AI-driven decision-making.
Data Engineer
Build and maintain data pipelines, models, and dashboards for enterprise clients using Python, SQL, PySpark, Snowflake, and Databricks.