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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.
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.
Senior Data Engineer - Databricks/Azure Data Platform
Build and optimize a modern data platform on Databricks and Azure, designing scalable ETL/ELT pipelines and integrating data from Delta Tables and Event Hub using Python and PySpark.
Senior Cloud Data Engineer — Data Lake, ETL & Analytics
Designs and scales cloud data platforms, builds ETL/ELT pipelines, and collaborates with BI and data science teams to deliver data-driven insights using SQL, Python, and Azure or AWS.
Senior Data Engineer On-Premises Data Platforms
Design and build enterprise-scale on-premises and hybrid data pipelines, ETL/ELT processes, and data warehouses using SQL, Spark, Hadoop, and orchestration tools.
Data Engineering Lead with Snowflake
Lead a team of Snowflake Data Engineers to build and maintain Aviva’s Financial Data Hub, focusing on scalable, secure, and automated data pipelines and platform governance.
Data Engineer (Azure Data Platform) + Informatica
Designs and migrates enterprise data pipelines using Informatica and Microsoft Azure tools, blending ETL/ELT with cloud analytics and AI services.
Data Engineer (Azure Data Platform) + Informatica
Design and build ETL/ELT pipelines using Informatica and Microsoft Azure tools, migrating enterprise data to cloud-based Microsoft Fabric and integrating AI services like Azure OpenAI.
Expert Data Engineer with GCP
Build and maintain scalable data pipelines and ETL/ELT processes using Python, Apache Airflow, Spark, and GCP services like BigQuery and Cloud SQL for HSBC’s data platform.
Senior Data Engineer with GCP
Design, build, and optimize scalable cloud data pipelines and warehouses using GCP, Python, PySpark, and SQL to deliver reliable data products for business needs.
Security Data Engineer - Azure Data & Automation
Design and maintain Azure-based data pipelines for security analytics, using Data Factory, Databricks, and DevOps practices to ingest and process data across multi-cloud environments.
Senior AI Data Engineer
Designs and operates enterprise-grade data and AI platforms using GitOps, building scalable ETL pipelines, feature stores, and RAG systems to power Netwrix’s security-focused AI products.
Data Engineer (Azure Data Factory) @ Addepto
Design and maintain Azure Data Factory pipelines for ETL/ELT, orchestrating data flows between Azure SQL/Synapse and other sources while optimizing performance and collaborating with stakeholders.
Data Engineer – Azure Data Platform @ Antal
Design and maintain Azure-based ETL/ELT pipelines using Data Factory and Microsoft Fabric, build secure data models in Power BI, and support analytics for banking clients.
Data Engineer | FCU Technology Team
Build and maintain scalable data pipelines and lakehouse platforms using Databricks, Spark, Delta Lake, and Python to support anti-financial-crime analytics and reporting for global PwC clients.
Databricks Data Engineer (ICH Europe)
Build and maintain scalable data pipelines and Lakehouse architectures using Databricks, PySpark, and Delta Lake to deliver analytics-ready datasets for GenAI and business use cases.
Senior Data Engineer (dbt focus)
Design and build enterprise-grade dbt pipelines and data warehouses using SQL, Jinja, and Kimball/Data Vault modelling to deliver clean, analytics-ready datasets for clients.
Technology Lead - Databricks Data Engineering
Lead a team to build and optimize Databricks-based ETL/ELT pipelines using Python/SQL, Delta Lake, and cloud platforms (Azure/AWS/GCP) for large-scale data processing.
Technology Lead - Databricks Data Engineering
Lead a Databricks-based data engineering team to build and optimize ETL/ELT pipelines, Delta Lake tables, and cloud data warehouses using Python, SQL, and Azure/AWS/GCP.