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Databricks Data Engineer – GenAI & Lakehouse Innovator
Build and maintain scalable data pipelines and Lakehouse architectures using Databricks, PySpark, and Delta Lake to power analytics and GenAI solutions for enterprise clients.
Senior Data Engineer: Cloud Data Platforms | Hybrid & WFA
Designs and builds cloud-based data pipelines, warehouses, and analytical solutions using SQL, Python, and Spark to enable data-driven decisions.
Senior Data Engineer | FCU Technology Team
Senior Data Engineer builds and maintains scalable data pipelines and lakehouse platforms using Databricks (Spark, Delta Lake), Python, and SQL to support anti-financial-crime analytics for PwC’s global clients.
Senior Data Engineer: Databricks on Azure Platform
Design and build a modern data platform on Databricks and Azure, developing scalable ETL/ELT pipelines with Python and PySpark to integrate data sources for AI-assisted development.
Cloud Data Engineer (f/m/x)
Build and maintain scalable cloud data pipelines and platforms using Azure/AWS, PySpark, and SQL to process large datasets for analytics and ML teams.
Senior Data Engineer (M/F/D)
Design and build scalable Lakehouse architectures (Bronze/Silver/Gold) using Databricks and Delta Lake to transform logistics data into BI insights, optimizing ETL/ELT pipelines with PySpark and Azure/AWS/GCP services.
Cloud Data Engineer (m/f/d)
Build and operate cloud data pipelines and KPIs using Python, Google Cloud, and Terraform in a fintech loyalty platform.
Senior Data Engineer (Databricks) @ Addepto
Design and optimize scalable data pipelines using Databricks, Apache Airflow, and Spark to process streaming and batch data for enterprise clients across industries like aerospace, energy, and automotive.
Middle Data Engineer (Azure Databricks)
Designs and builds cloud data pipelines on Azure Databricks, integrating PySpark, Delta Lake, and Azure Data Factory to power analytics and BI for enterprise clients.
Senior Data Engineer (Azure | Databricks)
Senior Data Engineer builds and optimizes scalable ETL pipelines on Azure and Databricks, migrating legacy data to cloud Data Lake and ensuring Data Governance.
Senior Data Engineer (Hadoop, Spark)
Build and maintain scalable data pipelines using PySpark, Hadoop, and Airflow in a DevOps environment, collaborating with analysts and engineers to deliver high-performance solutions.
Data Engineering Tech Lead (ODS)
Lead a team building a cloud-native Operational Data Store (ODS) platform using Kafka, AWS Glue, ECS, and containerized microservices (Spring Boot/Python) to deliver trusted, scalable data pipelines for Aviva’s enterprise data foundations.
Senior Data Engineer: Azure Databricks & CI/CD Pipelines
Design and build scalable data pipelines on Azure and Databricks, using Python, PySpark, and SQL, while implementing CI/CD in Azure DevOps.
Data Engineer | FCU Technology Team
Build and maintain scalable data pipelines and lakehouse platforms using Databricks, Spark, Delta Lake and Azure to support anti-financial-crime analytics and reporting for PwC’s global clients.
Databricks Data Engineer (ICH Europe)
Build and maintain scalable data pipelines and Lakehouse models on Databricks, using PySpark, Delta Lake, and Medallion architecture to deliver analytics-ready datasets for enterprise clients.
Lead Data Engineer (GCP / PySpark)
Lead a data engineering team to migrate and modernize a media company’s data platform on GCP using PySpark, while removing technical bottlenecks and guiding architectural decisions.
Data Engineer (get the Palantir skill)
Build and maintain Palantir Foundry data pipelines and applications to power enterprise decision-making, using Python, SQL, and Spark.
Lead Azure Data Engineer with Databricks
Lead a team to design and build scalable Azure data pipelines and warehouses using Databricks, PySpark, and SQL to process large datasets for enterprise clients.
Azure Data Engineer with Databricks (AI&Data)
Build and maintain scalable Azure data pipelines and lakehouse solutions using Databricks, PySpark, and Azure Data Factory to process and transform large datasets for enterprise clients.
Azure Data Engineer with Databricks (AI&Data)
Build and maintain scalable Azure data pipelines and Databricks lakehouse solutions, transforming raw data into analytics-ready assets while collaborating with cross-functional teams.