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Build and maintain a contract-driven data platform that ingests, transforms, and serves billions of ad-performance records daily using Snowflake, dbt, Airflow, and Looker for DV’s digital advertising analytics products.
Data Analyst supporting U.S. Government mission-critical operations in a secure, controlled data environment. Day to day involves advanced SQL (Amazon Redshift, Oracle), ETL pipeline maintenance and automation with Python/Bash/PowerShell, data validation, and building automated reports and dashboards for leadership decision-making.
Senior AI engineer/data scientist owning the technical vision for an AI copilot that answers business questions — designing RAG, LLM and multi-step agent pipelines, leading and mentoring a team of MLEs/data scientists, and industrializing AI pipelines. Core stack: Python, PyTorch, Hugging Face, LangChain/LangGraph, vector DBs.
Data Engineering Manager at Brother's European HQ in Roissy-en-France, leading and coaching a distributed team of data engineers while staying hands-on with data pipelines. Core stack: Snowflake, Matillion, Snowpipe, with SQL and Python.
Junior Data & AI Engineer consultant at Wavestone in Nanterre, combining engineering and advisory work: building data pipelines and AI agents, training/evaluating ML and LLM models (RAG, fine-tuning), and deploying Data & AI platforms (Lakehouse, MLOps) for large clients. Core stack: Python, cloud (Azure/AWS/GCP), ML/GenAI.
Senior Data Engineer who builds and runs the company's data backbone: the data lake and BI platform on Databricks, Airflow pipelines for metering and energy data, and Postgres/time-series databases on AWS, with monitoring, alerting, and clean data delivered as a service to all squads. Fluent German and energy-sector experience are a plus.
Senior data engineer who owns the Databricks-based data lake, builds Airflow pipelines for metrics and energy data, and optimizes the PostgreSQL/TimescaleDB landscape. Also responsible for monitoring, alerting and incident response, delivering clean data as a service and working closely with data science.
Founding data engineer at Ooak Data, a YC-backed startup in Paris building large-scale datasets of real-world business workflows for AI labs. You'd design and scale ingestion, anonymization, and enrichment pipelines using Python, SQL, orchestration tools (Airflow/Dagster/dbt), warehouses (BigQuery/Snowflake), and streaming (Kafka), while shaping the tech team's data culture.
A data engineering lead role at Publicis Sapient in Paris: designing, building, and testing ETL/ELT pipelines and scalable data platforms while leading a high-performance engineering team. Core tech spans cloud platforms (Azure/AWS/GCP), big data tools (Spark, Kafka, Databricks, Snowflake), Python/Java, and SQL.
Data Engineer at SII Nord in Lille, joining a client team to build high-impact decision-support models and scalable ETL/ELT pipelines that turn data into supply-chain insights. Core stack: Python, SQL, DBT, Spark, DataBricks, cloud platforms (AWS/GCP/Azure), Git and CI/CD.
Senior Data Engineer building and evolving a data infrastructure that processes billions of AdTech events daily for Mercato de l'emploi. Day-to-day work involves designing ETL/ELT pipelines and real-time/batch architectures, growing the Data Warehouse and Data Lake, using SQL, Python, Airflow, Kafka, Pub/Sub and Dataflow on GCP.
Junior DevOps/SRE engineer at consulting firm Maestria (Sophia Antipolis) who keeps a data platform reliable, secure and industrialized: administering Kubernetes and data infrastructure (PostgreSQL, Kafka/Debezium, Airflow, S3), monitoring with Grafana/Prometheus, automating with Terraform, Ansible and ArgoCD, and handling production incidents and CI/CD.
Senior Backend Engineer at Openly (a US home insurance provider) designs, builds, tests, and maintains Go/PostgreSQL backend services and APIs powering the insurance platform, including integrations for payments, documents, claims, and property risk data. Fully remote within the US on a GCP stack (Kubernetes, Kafka, Terraform).
The Manager, Data Platform leads the strategy, architecture, and team management for ZoomInfo's data infrastructure. This role involves hands-on technical leadership and people management to support analytics, machine learning, and AI applications using technologies like Databricks, Snowflake, AWS, and Airflow.
Senior Data Platform Engineer & AWS Cloud Architect at Keyrus (Barcelona, hybrid) who designs, builds, and operates enterprise-scale AWS data platforms for client organisations. Core stack: AWS, Terraform and GitHub Actions CI/CD, Airflow/MWAA, Redshift, Ansible and Python, with dbt, Iceberg and Spark adoption, FinOps, and mentoring/technical leadership.
Data Platform Engineer at DWS Group (Deutsche Bank's asset management arm) in Madrid, designing, building and improving a cloud data platform on Snowflake with end-to-end data ingestion and transformation. Core stack includes Terraform, dbt, Airflow, Python and Java, with a focus on security and governance.
Leads the design, evolution, and operation of a corporate data platform on AWS: defining data architectures and standards, implementing Terraform IaC, Airflow (MWAA) workflows and GitHub Actions CI/CD, managing ECS/Fargate and Redshift, and automating with Python and Ansible while mentoring other engineers.
Senior Data Engineering Manager driving a full modernisation of a digital product company's core Data Platform (Data Lakehouse, Data Mesh pilots, batch ingestion pipelines) while directly managing an international engineering team across European hubs. Core stack: Python, SQL, Snowflake, AWS, Terraform, and Airflow. Hybrid role, 3 days onsite.
Lead Engineer for DWS Group's data infrastructure team in Madrid, owning the architecture and evolution of a hybrid cloud/on-premises enterprise data platform built on Snowflake, Apache Airflow and Kafka. The role leads a small team, sets technical direction, and stays hands-on with Python, SQL, Terraform and CI/CD.
Lead Engineer owning the architecture, reliability and evolution of DWS Group's hybrid enterprise data platform in Madrid, leading a small team while staying hands-on. Core stack: Snowflake, Apache Airflow, Kafka, Python/SQL, Terraform and CI/CD in a regulated financial environment.
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