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Senior Data Engineer
Senior Data Engineer builds and optimizes data pipelines for telecom OSS/network systems, integrating inventory, topology, and service data using Python, SQL, Spark, Kafka, and Google Cloud.
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 Data Engineer
Senior Data Engineer builds and scales a Lakehouse-based data platform for a fintech, integrating Redshift, dbt, Airflow, and streaming tools to enable self-service analytics and ML tooling.
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.
Data Engineer Databricks & Lakehouse
Designs and builds data pipelines, ETL/ELT workflows, and scalable Lakehouse architectures on Databricks using Python, Spark, and Delta Lake.
Data Engineer / Databricks Developer
Build and maintain scalable data pipelines on Databricks using Python, Spark, and Delta Lake to ingest, transform, and serve data for analytics and AI workloads.
Remote Data Engineer - GCP Data Platforms
Build and optimize GCP-based data pipelines and platforms, handling batch/streaming ingestion, transformation, and orchestration with BigQuery, Dataflow, Pub/Sub, Spark, and Airflow.
Customer Data Engineer - Milano
Designs and builds cloud-based ETL/ELT pipelines and data models to ingest, transform, and analyze customer data for marketing and CRM use cases using Python, SQL, Spark, and Databricks.
Customer Data Engineer - Milano
Designs and builds cloud-based data pipelines and ETL processes to ingest, transform, and model customer data for analytics and AI use cases in sectors like finance, media, and energy.
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.
Databricks Expert - Data Engineer/Data Architect
Designs and implements cloud-native big data pipelines on Databricks and Azure, bridging data engineering and science to build scalable data lakes and ML-ready datasets.
Software Data Engineer (AWS)
Build and maintain cloud-native data pipelines on AWS, ingesting manufacturing data via Kafka and processing it into a medallion lakehouse for analytics and ML workloads.
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.
Senior Data Engineer
Build and maintain scalable data pipelines and warehouses using Spark, Airflow, and AWS to power AI-driven fintech products for asset-based finance.
Junior Data Engineer
Build and maintain data pipelines, data lakes, and models to support business decision-making using Python, Spark, Kafka, and cloud platforms like AWS/Azure.