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Software Engineer - Fullstack
Builds modern SaaS data/AI tools using React, Node.js, Python, and cloud infra to deliver delightful UX for SQL analytics, workflows, and developer ecosystems.
Backend Data Engineer – Lakeflow & Job Development
Builds and maintains scalable data pipelines using Lakehouse/Lakeflow architectures, job orchestration, and ETL/ELT workflows to support analytics and reporting.
Senior Software Engineer - Backend
Build backend systems for Databricks’ data and AI platform, focusing on log analytics, AI/BI, or Unity Catalog Business Semantics using Java, Scala, or C++.
Staff Software Engineer - Backend
Builds and scales Databricks’ core data and AI infrastructure, focusing on distributed systems, log analytics, AI/BI, or app platforms in Vancouver.
Senior Full stack AI Developer (Python & Angular/React)
Build and deploy AI solutions for an insurance company using Python (FastAPI) and Angular/React, integrating models with existing systems and leading a technical team.
Senior Full stack AI Developer (Python & Angular/React)
Build and integrate AI solutions (Python, FastAPI, Angular/React) to improve insurance operations, collaborating with data science and IT teams while owning end-to-end delivery of features and models.
Senior Big Data Engineer (Scala/Python + Spark)
Build and maintain high-performance Spark/Scala pipelines to migrate petabytes of data from legacy systems to modern cloud storage, ensuring data quality and ACID compliance.
Senior Azure Data Engineer for Lakehouse & Databricks
Designs and optimizes Azure-based data pipelines using Databricks, Delta Lake, and Lakehouse to power analytics and AI workloads.
Senior Data Engineer – Azure Databricks - Banking
Senior Data Engineer builds and optimizes Azure Databricks pipelines for banking analytics and AI using PySpark, Delta Lake, and cloud-native tools.
DigiTribe - Data Engineer (Azure Databricks & Application Development)
Build and maintain scalable data pipelines and applications on Azure Databricks using Python, PySpark, and SQL, while collaborating with cross-functional teams to deliver robust, cost-efficient data solutions.
DigiTribe - Azure Cloud Data Engineer (Financial Sector)
Build and optimize Azure-based data pipelines and architectures for financial clients, using Python, SQL, and Azure services like Data Factory, Databricks, and Synapse.
Data Analytics Engineer | Milano
Design and build distributed data pipelines and modern data platforms (Microsoft Fabric/Databricks) to integrate and model data for analytics and reporting.
Hybrid Data Analyst – Big Data Pipelines & Analytics
Designs batch and streaming data pipelines and analyzes large datasets using SQL, Python, and Scala, collaborating with data engineering teams.
Hybrid Data Analyst – Big Data Pipelines & Analytics
Builds and maintains big-data pipelines (batch and streaming) and analyzes large datasets using SQL, Python, and Scala, collaborating with data-engineering teams.
Data Engineer Senior: Spark, Azure & BI (Remote)
Senior Data Engineer builds and maintains Azure-based pipelines with Spark, Delta Lake, and Power BI to process and analyze data from Excel, CSV, JSON, APIs, and relational databases.
Data Engineer: Azure Databricks Lakehouse, Remote
Designs high-performance data pipelines for financial analytics using Azure Databricks, PySpark, and Delta Lake in an Agile team.
Data Engineer: Azure Databricks Lakehouse, Remote
Designs high-performance data pipelines for financial analytics using Azure Databricks, PySpark, and Delta Lake in a remote Agile team.
Data Engineer: Data Lake, Spark & Airflow in Bologna
Designs, builds, and maintains data pipelines and a Data Lake using Spark, Airflow, and Delta Lake, collaborating with stakeholders.
Data Architect/Data Engineer
Designs and builds scalable data architectures on Databricks, implementing Data Lakehouse solutions and high-performance ETL/ELT pipelines using Python, Spark, and Delta Lake.
ETL Data Engineer (Databricks)
Build and maintain ETL/ELT pipelines on Azure Databricks using PySpark and Azure Data Factory, integrating data from relational and cloud sources.