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Senior Data Engineer builds and maintains Ebury’s scalable data platform using Python, SQL, and GCP tools like BigQuery to support global fintech operations.
Design and build end-to-end data pipelines, from ingestion to production, for enterprise clients using SQL, Python/Java/Scala, and cloud or big-data stacks.
Lead a team of Data Engineers to design and deliver cloud-native data platforms and AI solutions for global clients, using Python, Spark, Airflow, and major cloud platforms (GCP, AWS, Azure).
Design and build a healthcare data warehouse that standardizes patient records and other sources into trusted, documented assets for analytics and care improvement.
Designs and maintains data pipelines, transforms raw data into reliable insights, and builds Power BI dashboards for business teams in an industrial and financial services context.
Build and maintain data pipelines, integrate generative AI models, and deploy solutions on cloud platforms using Python, SQL, Databricks, and Azure.
Design and build a healthcare data warehouse that standardizes, validates, and documents patient data to support research and care improvement using SQL, Python/R, and OMOP standards.
Design and build scalable data pipelines, ETL processes, and dashboards using Python/Scala, SQL, NoSQL, and AWS for a government employment agency.
Build and maintain Piano’s real-time Big Data pipeline (ETL) in Java/Go, processing hundreds of thousands of events per second with Kafka, Redis, and cloud infrastructure.
Build and maintain scalable data pipelines and warehouses for an online DIY/home-improvement marketplace using Snowflake, Airflow, Python, Kafka, and S3.
Build and maintain ETL/ELT pipelines, ensure data reliability, and automate data ingestion from SFTP/APIs/databases into a Datalake using Python, Airflow, AWS, and BigQuery.
Build and maintain data pipelines, clean and model customer data, and deploy scalable BigData solutions on AWS/Azure for marketing analytics.
Build and maintain robust data pipelines and ETL workflows for a public-sector client using Talend/Informatica, Airflow, and modern data platforms like Trino and Iceberg.
Senior ML Engineer builds and maintains data pipelines and ML models in production for a French insurer, owning the full MVP lifecycle from ideation to deployment.
Consultant builds and maintains Azure-based data pipelines and analytics solutions using SQL, Python, and Spark for enterprise clients.
Design and maintain robust Azure data pipelines, transforming raw data into actionable insights for BI teams using Microsoft Azure cloud services.
Designs, builds, and deploys distributed data pipelines using Python, PySpark, and AWS services for clients.
Build and maintain cloud data pipelines using Spark and Kafka to integrate complex datasets, design scalable architectures, and collaborate across teams.
Build, optimize, and harden GCP-based data pipelines for a large food-sector group, using BigQuery, Airflow, DBT, and Cloud Storage while enforcing data quality and agile practices.
Build and scale high-volume data pipelines for a leading French e-commerce company using Snowflake, Kafka, and Python.
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