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Senior Data Engineer (Contractual)
Build and own scalable ETL pipelines and data warehouses for a hospitality workforce-management SaaS, using AWS Glue, Airflow, Spark, and modern lakehouse formats.
Senior Data Engineer
Build and maintain scalable data pipelines and GenAI platforms on AWS using Spark, Iceberg, and Bedrock to power analytics, AI, and RAG systems for a fintech-focused company.
Data Engineer AWS (Glue/Spark/GenAI)
Build and optimize AWS-based ETL pipelines using Glue, PySpark, and EMR Serverless to migrate and transform large datasets for a tech-sector client.
Data Engineer AWS SR (Glue/Spark/GenAI)
Build and optimize AWS Glue/PySpark ETL pipelines for large-scale data migration and transformation, enforce technical standards, and review code in a cloud-native data platform.
Senior Data Engineer
Senior Data Engineer builds and maintains scalable ML/AI data pipelines on AWS/Azure for Proofpoint’s email security platform, including feature stores and Iceberg-based data lakes to power threat detection and LLM-powered security insights.
Senior Data Engineering
Build and maintain scalable data pipelines and GenAI platforms on AWS using Spark, Iceberg, and Bedrock to power analytics, AI, and RAG systems.
Senior Data Engineer - Data Platform & AI (Paris, Hybrid)
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.
Data Engineer Senior H/F
Senior Data Engineer modernizes a large bank’s Big Data platforms, migrating batch jobs to Cloudera CDP and Google Cloud using Spark, SQL, and Kubernetes while ensuring performance and reliability.
Data Engineer (H/F)
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.
Data Engineer - Pipelines Cloud, Qualité des Données
Build and maintain robust data pipelines (ETL/ELT) on cloud platforms, ensuring data quality, security, and governance while collaborating with data scientists and analysts.
Senior Data Engineer
Build resilient data pipelines and self-serve tooling for a crypto market maker, normalizing market, trading, and portfolio data in real time for desks, risk, finance, and research.
Data Engineer
Build and maintain robust data pipelines (ETL/ELT) on cloud platforms, ensuring data quality, security, and governance while collaborating with data scientists and analysts.
Data Engineer
Build and optimize scalable data pipelines and lakehouse infrastructure (Spark, Databricks, Snowflake) for a SaaS data-management platform, with early AI use-case enablement.
Data Engineer - Bad Friedrichshall (m/w/d)
Build and maintain scalable ETL pipelines, streaming data systems, and Lakehouse storage using Python, Spark, Kafka, and GCP. Focus on data integrity, DevOps practices, and cloud-native containerized deployments.
ML DevOps Engineer
Build and scale ML infrastructure for a quantitative trading firm, designing feature stores, MLOps pipelines, and data lakes to support petabyte-scale time-series models in low-latency environments.
Senior Software Engineer - Data
Senior Data Engineer building a cloud-scale media metadata platform using Spark, AWS Glue, and Iceberg to power real-time broadcasting insights and archive reuse at the BBC.
Software Engineer - Data, Lakehouse and AI Data Platform Engineer - Vice President - London
Build and maintain a modern Lakehouse and AI data platform, designing robust data pipelines, models, and quality controls to power analytics and AI use cases at a global financial firm.
Senior Data Engineer - Pathogen
Build and maintain a cloud-based pathogen genomics data platform using Python, Airflow, and Oracle/AWS/Azure to ingest, process, and secure genomic and clinical data for early epidemic warnings and diagnostics.