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ETL Data Engineer (Databricks)
Builds and maintains ETL/ELT pipelines on Azure Databricks and Azure Data Factory, transforming raw data into analytics-ready datasets using PySpark and SQL.
Data Engineer Junior - Data Evolution & Solutions
Build and maintain data pipelines and software solutions for a large European bank, focusing on batch and near-real-time systems using cloud and on-premise tech like Hadoop, Teradata, and Azure.
Data Engineer – AI & Data Products
Build cloud-native data pipelines and AI/ML feature stores for a large insurer, using Python, Spark, and cloud platforms to power analytics and GenAI use cases.
AI & Data Engineer
Builds and maintains ETL pipelines, trains ML models, and deploys them on Databricks using PySpark, Python, and cloud services.
Senior Data Engineer
Build and scale Databricks-based data pipelines and semantic layers that power analytics and AI across 60+ global brands.
Data Engineer – Lakehouse & Real-Time Pipelines
Designs and maintains real-time data pipelines using Spark/PySpark, NiFi, Kafka, and Iceberg to move data across Bronze-Silver-Gold layers via CDC.
Senior Data Engineer
Designs, builds, and optimizes robust data pipelines (ETL/ELT) in Python/Java using Spark, Databricks, and AWS services to feed analytics, AI, and ML workloads.
Senior Databricks Data Engineer
Design and build scalable, high-performance data pipelines on Databricks (Delta Lake, Medallion architecture) using PySpark/Scala, optimizing batch and streaming workloads for large-scale data processing in Azure.
Senior Databricks Data Engineer
Senior Data Engineer builds scalable ETL/ELT pipelines on Databricks (PySpark, Delta Lake) in Azure, designs Medallion architectures, and partners with Data Scientists and BI teams to deliver clean, governed data for analytics and ML.
Senior IOT Data Engineer
Design and build scalable IoT data platforms for embedded and industrial systems, implementing batch/streaming pipelines, data contracts, and governance to power smart factories and connected products.
GCP Cloud Data Engineer
Designs and builds modern data platforms and big-data pipelines on Google Cloud Platform using Python, PySpark, and Terraform, following Medallion Architecture and data-governance best practices.
Junior Data Engineer / Junior Data Scientist
Junior role in a Data & AI team, building ETL pipelines, analyzing data, and applying ML models using Python, Spark, and cloud platforms.
Senior Data Engineer: Spark, Databricks & AWS Pipelines
Designs, tests, and maintains complex data pipelines in AWS using PySpark/Java, Python, and Databricks for Spark workloads.
Data Engineer ambito Big Data
Build and maintain scalable Big Data pipelines using Debezium, Kafka, Spark, NiFi, and Iceberg to move and process data from source to analytics-ready layers.
Big Data Engineer
Designs and builds scalable data pipelines using Hadoop, Spark, and Python to process large datasets for clients across industries.
Junior Data Engineer
Builds and maintains data pipelines on Azure and Databricks to power analytics and AI products for a public-transport company.
Senior Data Engineer
Senior Data Engineer designs and builds scalable ETL/ELT pipelines and distributed data architectures (cloud, on-prem, or hybrid) using Python, PySpark, and SQL for modern data platforms.
Senior Data Engineer
Builds, tests, and maintains data pipelines using Python/PySpark and AWS, with a focus on Databricks and Apache Spark for HR-tech job-matching.
Data Engineer – Microsoft Fabric
Build and maintain data pipelines and analytics solutions on Microsoft Fabric for enterprise clients using PySpark, Data Factory, and Power BI.