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Full Stack Software Engineer
Build and maintain programmatic advertising platforms, integrating ad formats (D2S, InVideo) with external platforms like Adform and DV360 using PHP, Node.js, React, and AWS services.
Senior Data Engineer III - Remote, Mentorship & Impact
Designs and builds scalable data pipelines and systems, mentors junior engineers, and works with Hadoop, Spark, and Docker in a hybrid/remote role.
Hybrid Data Engineer: Spark, PySpark & Cloud Data Platform
Build and optimize data pipelines in PySpark on Databricks, design cloud-based data models, and integrate relational databases to power Generative AI systems for an ecommerce retailer.
Data Engineer: Spark, Kafka & Big Data (Hybrid Milano)
Builds and maintains big-data pipelines using Scala, Apache Spark, Kafka, and relational/non-relational databases in a hybrid Milan office.
Senior Data Engineer Internazionale — Roma, Ibrido
Builds and maintains data pipelines, warehouses, and lakes using SQL, Python, and Spark for an international product team based in Rome.
Junior Data Engineer: Spark, Python & Cloud
Builds and maintains data pipelines using Python, Spark, and SQL on Google Cloud or AWS for a financial-services project.
AWS Cloud Data Engineer & Architect - Modern Data Platforms
Designs and builds enterprise-scale cloud data architectures on AWS and GCP, develops ETL pipelines, and manages data workflows using SQL, Spark, and Databricks.
Senior Big Data Engineer — Remote, Growth & Impact
Designs and builds scalable big-data systems using Hadoop, Spark, Java/Scala, and cloud-native tech, while mentoring engineers and optimizing performance.
Cloud Data Engineer - Python & Databricks (Hybrid)
Builds and optimizes cloud-based data pipelines using Python, Databricks, Spark, and SQL to process and analyze large datasets for clients.
AWS Cloud Data Engineer & Architect - Modern Data Platforms
Designs and builds enterprise-scale cloud data architectures on AWS and GCP, develops ETL/ELT pipelines, and implements data modeling with Spark and Databricks.
Databricks Data Engineer — Remote/Hybrid Opportunity
Designs and builds scalable data pipelines and architectures using Databricks, Spark, and cloud platforms (Azure/AWS/GCP), ensuring data governance and performance.
AWS Cloud Data Engineer/Architect
Design and build modern, scalable data platforms on AWS, including ETL/ELT pipelines, data modeling, and governance using Python, PySpark, and Terraform.
Hybrid Junior Data Engineer: ETL, Spark & AI Pipelines
Builds and maintains ETL pipelines using Python, SQL, Spark/Databricks, and orchestration tools while collaborating with Data Science and BI teams.
Data Engineer/Analyst - Graduate Development Program
Build and maintain data pipelines, BI models, and automated reports for a global fintech company using Python, SQL, and Power BI.
Data Engineer/Analyst — Graduate Development Program
Build and own data pipelines and BI models for a global FinTech firm, automating reporting and analysis using Python, SQL, and Power BI.
Senior Data Engineer - Hybrid, Spark & Databricks
Designs, builds, and optimizes scalable data pipelines using Python/Java, Spark, and Databricks to support analytics and AI/ML in a hybrid work model.
Data Engineer: Microsoft Fabric & Azure Lakehouse
Designs and builds data pipelines and lakehouse/warehouse solutions on Microsoft Fabric and Azure, using Spark, SQL Analytics, and serverless APIs.
Cloud Data Engineer – Snowflake & Databricks
Builds and optimizes scalable data pipelines using Python, Spark, SQL, AWS, Snowflake, and Databricks for analytics and AI projects.
Big Data Engineer: Build Data Intelligence Platforms
Builds and optimizes data pipelines using Java, Python, Spark, Kafka, and NoSQL to power analytics platforms in a cloud environment.
Data Engineer (GCP) – Full Remote
Build and maintain data pipelines on Google Cloud using BigQuery, Dataflow, Pub/Sub, and Airflow to process batch and streaming data for analytics and reporting.