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Senior Data Engineer (Hadoop, Spark)
Build and maintain scalable data pipelines using PySpark, Hadoop, and Airflow in a hybrid Agile environment, collaborating with analysts and engineers to deliver high-performance ETL solutions.
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.
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.
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 Fabric/Data Engineer | SB
Build and migrate enterprise data platforms to Microsoft Fabric, designing cloud-based analytics, pipelines, and governance for large-scale transformations.
Data Engineer | f/m/d
Design and maintain data pipelines and cloud infrastructure to feed financial analytics, trading, and risk systems using Python, PySpark, and Azure Databricks.
Principal Data Engineer with GCP
Design and build scalable cloud data platforms on GCP, Databricks, and Snowflake to power analytics and reporting, using SQL, Python, and PySpark.
Senior Databricks Data Engineer
Build and optimize large-scale data pipelines on Databricks using Python and cloud-native tools, ensuring scalable, secure data processing for enterprise clients.
Regular Data Engineer | Inetum
Build and maintain scalable data platforms using Microsoft Fabric, Azure, and PySpark to turn enterprise data into actionable insights across finance, sales, and operations.
Data Engineer (Databricks) @ Addepto
Build and optimize scalable data pipelines using Databricks, Spark, and Azure to power AI/ML solutions for global enterprises across aerospace, energy, and automotive sectors.
CLOUD DATA ENGINEER (AWS)
Design and build scalable AWS-based data pipelines using PySpark and AWS Glue, then monitor and optimize them for performance and reliability.
Data Engineer - Databricks, BI
Builds and optimizes Databricks/Spark pipelines and Delta Lake models to power BI dashboards and ML workloads for a global brewer’s data ecosystem.
Data Engineer (AI/ML)
Build and automate predictive models, ETL pipelines, and monitoring systems using Python, Databricks, and Azure to power AI-driven marketing analytics and campaign optimization.
Junior People Data Engineer
Build and maintain HR data pipelines in Microsoft Fabric, transforming raw HR data into clean, analytics-ready datasets using SQL, Python, and PySpark.
(Senior) Data Engineer (Kafka)
Build and maintain scalable, event-driven data pipelines in AWS using Kafka (MSK), AWS Glue, Python and PySpark to power Aviva’s enterprise Operational Data Store and ensure trusted business data.
Senior Data Engineer: Build Scalable Pipelines & AI Tools
Senior Data Engineer builds scalable data pipelines and AI tools using Databricks, PySpark, and Azure Data Factory to process batch and streaming data.
Cloud Data Engineer (AWS)
Designs and builds scalable AWS-based data pipelines using PySpark and AWS Glue to process and transform business data into reliable cloud architectures.
Senior Data Engineer with German
Senior Data Engineer builds and maintains cloud-based data platforms using Azure/AWS, SQL, Python, and PySpark to enable data-driven decisions for global clients.