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Design and operate a secure, GDPR-compliant data lake for identity verification and AI research, building storage, APIs, and orchestration tools that handle sensitive biometric and KYC data at scale.
Build and maintain Decathlon’s global data platform, designing scalable pipelines and modern data stacks (Databricks, Airflow, Spark) to power analytics and AI across the company.
Build and optimize scalable data pipelines and lakehouse infrastructure (Spark, Databricks, Snowflake) for a SaaS data-management platform, and help kick-start early AI use cases.
Senior Data Engineer builds and maintains large-scale data pipelines in Python and Databricks, leveraging AWS services to collect, transform, and deliver high-volume energy-sector data for analytics and business use.
Build and secure big-data pipelines to turn raw naval-system data into real-time dashboards and anomaly-detection models for maintenance and decision support.
Build and maintain a scalable health-data platform that unifies patient records, enforces security and privacy, and supports analytics and research across the Softway Medical group.
Build and maintain CNP Assurances’ data infrastructure, enriching the Datalake and collaborating with Data Scientists to deliver innovative use cases using AWS, Python, Spark, and Snowflake.
Build and maintain the data stack for AI teams that detect objects in satellite imagery using Python, Airflow, PostgreSQL, and AWS, while also contributing to model training pipelines.
Designs, builds, and maintains scalable data pipelines and streaming architectures using Spark, Kafka, and Python, while enforcing data quality, observability, and CI/CD practices for enterprise clients.
Build and maintain scalable data pipelines on AWS to power internal analytics and client-facing APIs, using Python, Airflow, Kafka, and Terraform.
Design and automate big-data pipelines to turn raw naval-system data into real-time dashboards and anomaly-detection models, ensuring performance and security in a defense context.
Build and optimize data pipelines for an aerospace-industry client’s global Data Platform, refactoring Python/Spark jobs to cut costs and adding observability dashboards for FinOps.
Design and maintain high-performance data pipelines and cloud architectures using Python, SQL, Spark, Kafka, and cloud platforms (AWS/GCP/Azure) to deliver clean, secure data for analytics and AI teams.
Build and maintain scalable data pipelines, integrate diverse sources, and support analytics teams with Python/R scripts and cloud-based ETL workflows.
Build and maintain high-volume data pipelines on AWS/Snowflake, transforming raw ingestions into clean, modeled datasets for analytics and reporting.
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 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.
Build and maintain data pipelines and transformations for a SaaS platform serving automotive manufacturers and dealers, using dbt, Python, SQL, AWS S3/Redshift, and Parquet.
Build and maintain a scalable, multi-tenant data warehouse for a healthcare group, using S3, Iceberg, Trino, and Spark while securing IAM flows with Keycloak.
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